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Founded by Ex-Uber Data Architect and Apache Hudi Creator, – GlobeNewswire

February 2, 2022 | Author: admin

MENLO PARK, Calif., Feb. 02, 2022 (GLOBE NEWSWIRE) -- Today Onehouse, the first managed lakehouse company, emerged from stealth with its cloud-native managed service based on Apache Hudi that makes data lakes easier, faster and cheaper.

Data has become the driving force of innovation across nearly every industry in the world. Yet organizations still struggle to build and maintain data architectures that can economically scale at the fast-paced growth of their data. As the size of the data and the AI and machine learning (ML) workloads increase, their costs rise exponentially and they start to outgrow their data warehouses. To scale any further they turn to a data lake where they face a whole new set of complex challenges like constantly tuning data layouts, large-scale concurrency controls, fast data ingestion, data deletions and more.

Onehouse founder Vinoth Chandar faced these very challenges as he was building one of the largest data lakes in the world at Uber. A rapidly growing Uber needed the performance of a warehouse and the scale of a data lake, in near real-time to power AI/ML driven features like predicting ETAs, recommending eats and ensuring ride safety. He created Apache Hudi to implement a new path-breaking architecture where the core warehouse and database functionality was directly added to the data lake, today known as the lakehouse. Apache Hudi brings a state-of-the-art data lakehouse to life with advanced indexes, streaming ingestion services and data clustering/optimization techniques.

Apache Hudi is now widely adopted across the industry used from startups to large enterprises including Amazon, Walmart, Disney+ Hotstar, GE Aviation, Robinhoodand TikTok to build exabyte scale data lakes in near-real-time at vastly improved price/performance. The broad adoption of Hudi has battle-tested and proven the foundational benefits of this open source project. Thousands of organizations from across the world have contributed to Hudi and the project has grown 7x in less than two years to nearly one million monthly downloads. At Uber, Hudi continues to ingest more than 500 billion records every day.

Zheng Shao and Mohammad Islam from Uber shared we started the Hudi project in 2016, and submitted it to Apache Incubator Project in 2019. Apache Hudi is now a Top-Level Project, with the majority of our Big Data on HDFS in Hudi format. This has dramatically reduced the computing capacity needs at Uber in the Cost-Efficient Open Source Big Data Platform at Uber blog: https://eng.uber.com/cost-efficient-big-data-platform/.

Even with transformative technology like Apache Hudi, building a high quality data lake requires months of investment with scarce talent without which there are high risks that data is not fresh enough or the lake is unreliable or performs poorly.

Onehouse founder and CEO Vinoth Chandar said: While a warehouse can just be used, a lakehouse still needs to be built. Having worked with many organizations on that journey for four years in the Apache Hudi community, we believe Onehouse will enable easy adoption of data lakes and future-proof the data architecture for machine learning/data science down the line.

Onehouse streamlines the adoption of the lakehouse architecture, by offering a fully-managed cloud-native service that quickly ingests, self-manages and auto-optimizes data. Instead of creating yet another vertically integrated data and query stack, it provides one interoperable and truly open data layer that accelerates workloads across all popular data lake query engines like Apache Spark, Trino, Presto and even cloud warehouses as external tables.

Leveraging unique capabilities of Apache Hudi, Onehouse opens the door for incremental data processing that is typically orders of magnitude faster than old-school batch processing. By combining a breakthrough technology and a fully-managed easy-to-use service, organizations can build data lakes in minutes, not months, realize large cost savings and still own their data in open formats, not locked into any individual vendors.

Industry Analysts on Onehouse

$8 Million in Seed FundingOnehouse raised $8 million in seed funding co-led by Greylock and Addition. Onehouse plans to use the money for its managed lakehouse product and to further the research and development on Apache Hudi.

Greylock Partner Jerry Chen said: The data lake house is the future of data lakes, providing customers the ease of use of a data warehouse with the cost and scale advantages of a data lake. Apache Hudi is already the de facto starting point for modern data lakes and today Onehouse makes data lakes easily accessible and usable by all customers.

Addition Investor Aaron Schildkrout said: Onehouse is ushering in the next generation of data infrastructure, replacing expensive data ingestion and data warehousing solutions with a single lakehouse thats dramatically less costly, faster, more open and - now - also easier to use. Onehouse is going to make broadly accessible what has to-date been a tightly held secret used by only the most advanced data teams.

Additional Resources

About OnehouseOnehouse provides a cloud-native managed lakehouse service that makes data lakes easier, faster and cheaper. Onehouse blends the ease of use of a warehouse with the scale of a data lake into a fully managed product. Engineers can build data lakes in minutes, process data in seconds and own data in open source formats, not locked away to individual vendors. Onehouse is founded by a former Uber data architect and the creator of Apache Hudi who pioneered the fundamental technology of the lakehouse. For more information, please visit https://onehouse.ai or follow @Onehousehq.

Media and Analyst Contact:Amber Rowlandamber@therowlandagency.com+1-650-814-4560

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/aedd9404-e43b-49fb-9091-a4b0e57e7f39

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Founded by Ex-Uber Data Architect and Apache Hudi Creator, - GlobeNewswire

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Silicon Labs brings AI and Machine Learning to the Edge with Matter-ready platform – Design Products & Applications

February 2, 2022 | Author: admin

31 January 2022

This new co-optimised hardware and software platform will help bring AI/ML applications and wireless high performance to battery-powered edge devices. Matter-ready, the ultra-low-power BG24 and MG24 families support multiple wireless protocols and incorporate PSA Level 3 Secure Vault protection, ideal for diverse smart home, medical and industrial applications. The SoC and software solution for the Internet of Things (IoT) announced today includes:

Two new families of 2.4 GHz wireless SoCs, which feature the industrys first integrated AI/ML accelerators, support for Matter, Zigbee, OpenThread, Bluetooth Low Energy, Bluetooth mesh, proprietary and multi-protocol operation, the highest level of industry security certification, ultra-low power capabilities and the largest memory and flash capacity in the Silicon Labs portfolio.

A new software toolkit designed to allow developers to quickly build and deploy AI and machine learning algorithms using some of the most popular tool suites like TensorFlow.

The BG24 and MG24 wireless SoCs represent an awesome combination of industry capabilities including broad wireless multiprotocol support, battery life, machine learning, and security for IoT Edge applications, said Matt Johnson, CEO of Silicon Labs.

First integrated AI/ML acceleration improves performance and energy efficiency

IoT product designers see the tremendous potential of AI and machine learning to bring even greater intelligence to edge applications like home security systems, wearable medical monitors, sensors monitoring commercial facilities and industrial equipment, and more. But today, those considering deploying AI or machinehttp://learning at the edge are faced with steep penalties in performance and energy use that may outweigh the benefits.

The BG24 and MG24 alleviate those penalties as the first ultra-low powered devices with dedicated AI/ML accelerators built in. This specialised hardware is designed to handle complex calculations quickly and efficiently, with internal testing showing up to a 4x improvement in performance along with up to a 6x improvement in energy efficiency. Because the ML calculations are happening on the local device rather than in the cloud, network latency is eliminated for faster decision-making and actions.

The BG24 and MG24 families also have the largest Flash and random-access memory (RAM) capacities in the Silicon Labs portfolio. This means that the device can evolve for multi-protocol support, Matter, and trained ML algorithms for large datasets. PSA Level 3-Certified Secure VaultTM, the highest level of security certification for IoT devices, provides the security needed in products like door locks, medical equipment, and other sensitive deployments where hardening the device from external threats is paramount.

To learn more about the capabilities of the BG24 and MG24 SoCs and view a demo on how to get started, register for the instructional Tech Talk "Unboxing the new BG24 and MG24 SoCs" here: https://www.silabs.com/tech-talks.

AI/ML software and Matter-support help designers create for new innovative applications

In addition to natively supporting TensorFlow, Silicon Labs has partnered with some of the leading AI and ML tools providers, like SensiML and Edge Impulse, to ensure that developers have an end-to-end toolchain that simplifies the development of machine learning models optimised for embedded deployments of wireless applications. Using this new AI/ML toolchain with Silicon Labss Simplicity Studio and the BG24 and MG24 families of SoCs, developers can create applications that draw information from various connected devices, all communicating with each other using Matter to then make intelligent machine learning-driven decisions.

For example, in a commercial office building, many lights are controlled by motion detectors that monitor occupancy to determine if the lights should be on or off. However, when typing at a desk with motion limited to hands and fingers, workers may be left in the dark when motion sensors alone cannot recognise their presence. By connecting audio sensors with motion detectors through the Matter application layer, the additional audio data, such as the sound of typing, can be run through a machine-learning algorithm to allow the lighting system to make a more informed decision about whether the lights should be on or off.

ML computing at the edge enables other intelligent industrial and home applications, including sensor-data processing for anomaly detection, predictive maintenance, audio pattern recognition for improved glass-break detection, simple-command word recognition, and vision use cases like presence detection or people counting with low-resolution cameras.

Alpha program highlights variety of deployment options

More than 40 companies representing various industries and applications have already begun developing and testing this new platform solution in a closed Alpha program. These companies have been drawn to the BG24 and MG24 platforms by their ultra-low power, advanced features, including AI/ML capabilities and support for Matter. Global retailers are looking to improve the in-store shopping experience with more accurate asset tracking, real-time price updating, and other uses. Participants from the commercial building management sector are exploring how to make their building systems, including lighting and HVAC, more intelligent to lower owners costs and reduce their environmental footprint. Finally, consumer and smart home solution providers are working to make it easier to connect various devices and expand the way they interact to bring innovative new features and services to consumers.

Silicon Labs most capable family of SoCs

The single-die BG24 and MG24 SoCs combine a 78 MHz ARM Cortex-M33 processor, high-performance 2.4 GHz radio, industry-leading 20-bit ADC, an optimised combination of Flash (up to 1536 kB) and RAM (up to 256 kB), and an AI/ML hardware accelerator for processing machine learning algorithms while offloading the ARM Cortex-M33, so applications have more cycles to do other work. Supporting a broad range of 2.4 GHz wireless IoT protocols, these SoCs incorporate the highest security with the best RF performance/energy-efficiency ratio in the market.

Availability

EFR32BG24 and EFR32MG24 SoCs in 5 x 5mm QFN40 and 6 x 6mm QFN48 packages are shipping today to Alpha customers and will be available for mass deployment in April 2022. Multiple evaluation boards are available to designers developing applications. Modules based on the BG24 and MG24 SoCs will be available in the second half of 2022.

To learn more about the new BG24 family, go to: http://silabs.com/bg24.

To learn more about the new MG24 family, go to: http://silabs.com/mg24.

To learn more about how Silicon Labs supports AI and ML, go to: http://silabs.com/ai-ml.

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AIs J-curve and upcoming productivity boom – TechTalks

February 2, 2022 | Author: admin

This article is part of our series that explores thebusiness of artificial intelligence

Digital technologies, and at their forefront artificial intelligence, are triggering fundamental shifts in society, politics, education, economy, and other fundamental aspects of life. These changes provide opportunities for unprecedented growth across different sectors of the economy. But at the same time, they entail challenges that organizations must overcome before they can tap into their full potential.

In a recent talk at an online conference organized by Stanford Human-Centered Artificial Intelligence (HAI), Stanford professor Erik Brynjolfsson discussed some of these opportunities and challenges.

Brynjolfsson, who directs Stanfords Digital Economy Lab, believes that in the coming decade, the use of artificial intelligence will be much more widespread than it is today. But its adoption will also face a period of lull, also known as the J-curve.

Theres a growing gap between what the technology is capable of and what it is already doing versus how we are responding to that, Brynjolfsson says. And thats where a lot of our societys biggest challenges and problems and some of our biggest opportunities lie.

According to Brynjolfsson, the next decade will see significantly higher productivity thanks to a wave of powerful technologiesespecially machine learningthat are finding their way into every computing device and application.

Advances in computer vision have been tremendous, especially in areas such as image recognition and medical imaging. Talking to phones, watches, and smart speakers has become commonplace thanks to advances in natural language processing and speech recognition. Product recommendation, ad placement, insurance underwriting, loan approval, and many other applications have benefited immensely from advances in machine learning.

In many areas, machine learning is reducing costs and accelerating production. For example, the application of large language models in programming can help software developers become much more productive and achieve more in less time.

In other areas, machine learning can help create applications that did not exist before. For example, generative deep learning models are creating new applications for arts, music, and other creative work. In areas such as online shopping, advances in machine learning can create major shifts in business models, such as moving from shopping-then-shipping to shipping-then-shopping.

The lockdowns and urgency caused by the covid-19 pandemic accelerated the adoption of these technologies in different sectors, including remote work tools, robotic process automation, powered drug research, and factory automation.

The pandemic has been horrific in so many ways, but another thing its done is its accelerated the digitization of the economy, compressing in about 20 weeks what would have taken maybe 20 years of digitization, Brynjolfsson says. Weve all invested in technologies that are allowing us to adapt to a more digital world. Were not going to stay as remote as we are now, but were not going all the way back either. And that increased digitization of business processes and skills compresses the timeframe for us to adopt these new ways of working and ultimately drive higher productivity.

The productivity potential of machine learning technologies has one big caveat.

Historically, when these new technologies become available, they dont immediately translate into productivity growth. Often theres a period where productivity declines, where theres a lull, Brynjolfsson says. And the reason theres this lull is that you need to reinvent your organizations, you need to develop new business processes.

Brynjolfsson calls this the Productivity J-Curve and has documented it in a paper published in the American Economic Journal: Macroeconomics. Basically, the great potential caused by new general-purpose technologies like the steam engine, electricity, and more recently machine learning requires fundamental changes in business processes and workflows, the co-invention of new products and business models, and investment in human capital.

These investments and changes often take several years, and during this period, they dont yield tangible results. During this phase, the companies are creating intangible assets, according to Brynjolfsson. For example, they might be training and reskilling their workforce to employ these new technologies. They might be redesigning their factories or instrumenting them with new sensor technologies to take advantage of machine learning models. They might need to revamp their data infrastructure and create data lakes on which they can train and run ML models.

These efforts might cost millions of dollars (or billions in the case of large corporations) and make no change in the companys output in the short term. At first glance, it seems that costs are increasing without any return on investment. When these changes reach their turning point, they result in a sudden increase in productivity.

Were in this period right now where were making a lot of that painful transition, restructuring work, and theres a lot of companies that are struggling with that, Brynjolfsson says. But were working through that, and these J-curves will lead to higher productivityaccording to our research, were near the bottom and turning up.

Unfortunately, adapting to AI and other new digital technologies does not run on a predictable path. Most firms arent making the transition correctly or lack the creativity and understanding to make the transition. Various studies show that most applied machine learning projects fail.

Only about the top 10-15 percent of firms are doing most of the investment in these intangibles. The other 85-90 percent of firms are lagging behind and are hardly making any of these restructuring needed, Brynjolfsson says. This is not just the big tech firms. This is within every industry, manufacturing, retail, finance, resources. In each category, were seeing the leading firms pulling away from the rest. Theres a growing performance gap.

But while adopting new technologies is going to be difficult, it is happening at a much faster pace in comparison to previous cycles of technological advances because we are better prepared to make the transition.

I think what is becoming clear is that its going to happen a lot faster in part because we have a much more professional class of people trying to study what works and what doesnt work, Brynjolfsson says. Some of them are in business schools and academia. A lot of them are in consulting companies. Some of them are journalists. And there are people who are describing which practices work and which dont.

Another element that can help immensely is the availability of machine learning and data science tools to process and study the huge amounts of data available on organizations, people, and the economy.

For example, Brynjolfsson and his colleagues are working on a big dataset of 200 million job postings, which include the full text of the job description along with other information. Using different machine learning models and natural language processing techniques, they can transform the job posts into numerical vectors that can then be used for various tasks.

We think of all the jobs as this mathematical space. We can understand how they can relate to each other, Brynjolfsson says.

For example, they can make simple inferences such as how similar or different two or more job posts are based on their text descriptions. They can use other techniques such as clustering and graph neural networks to draw more important conclusions such as what kind of skills are more in demand, or how would the characteristics of a job post change if you modified the description to add AI skills such as Python or TensorFlow. Companies can use these models to find holes in their hiring strategies or to analyze the hiring decisions of their competitors and leading organizations.

Those kinds of tools just didnt exist as recently as five years ago, and I think its a revolution that is just as important as the microscope or some of the other revolutions in science, Brynjolfsson says. We now have them for social sciences and business to have this kind of visibility. Thats allowing us to make a transition a lot more rapidly than before.

However, Brynjolfsson warns that not many companies are using these kinds of tools. This is perhaps further testament to his previous point that companies have not yet figured out the right transition strategy and are relying on old methods to restructure and adapt themselves to the age of AI. And at the center of this strategy should be the correct use of human capital.

You have hundreds of billions of dollars of human capital, of skills walking out the door, and then the company tries to hire back people with the skills that they need. What they dont realize is that the workers that they let go often had skills that were very adjacent to the ones theyre hiring for, Brynjolfsson says.

With the help of machine learning, they will have better visibility and knowledge of their skill adjacencies, Brynjolfsson says. For example, a company might discover that instead of laying off a bunch of people and looking to hire new talent, perhaps all they need to do is a little bit of retraining and repurposing of their workforce.

Its much more expensive to hire somebody fresh than would have been for them to take some of those people who are already in the company and say, if we teach you Python or customer service skills or other skills, you can be doing this job that were looking to hire people for, Brynjolfsson says. My hope is that, in the coming decade, workers will be in a much better position to take full advantage of their capabilities and skills. And it will be good for the companies too to understand all the assets that they have in there, and machine learning can help a lot with understanding those relationships.

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The 20 Coolest Cloud Storage Companies Of The 2022 Cloud 100 – CRN

February 2, 2022 | Author: admin

The definition of cloud storage has recently become very flexible. Its not all about the cloud. And its not all about storage. Instead, cloud storage encompasses a wide range of technologies from straight-forward backup and recovery software to sophisticated technologies that seamlessly tie data across on-premises, private clouds, and public clouds and treat it the same no matter where it resides.

As the definition of cloud storage has morphed, so has the kinds of companies that offer the technology. While it used to be the domain of software vendors, today legacy storage hardware vendors like NetApp and Pure Storage are very active leaders in the cloud storage space given the need of customers to know their data is accessible and protected no matter where it resides or how it moves.

Anyone looking for a list of software vendors here will be disappointed. Cloud storage is all about the data, not where it sits. And as part of CRNs 2022 Cloud 100, this list of 20 cloud storage vendors proves our point.

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The 20 Coolest Cloud Storage Companies Of The 2022 Cloud 100 - CRN

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The Best Cloud Storage to Get All Those Photos off Your Phone in 2022 – Futurism

February 2, 2022 | Author: admin

You need a safe digital space to store and protect photos, videos, presentations, and documents. Cloud storage offers storage space on the Internet, aka the cloud. A provider operates and manages the storage for a fee, though there are some free plans out there.

The best cloud storage options may have apps for easier uploading and downloading, access, and file sharing. Many providers have a free tier but provide more storage space for a fee. You can base your storage needs on what and how much you need to store. Photos eat up space, and some providers limit file sizes, creating problems for photographers and other creatives. Other storage services focus on documents rather than media. Still others are primarily for backing up computers.

Check your file sizes, media, and connection speeds, and youll have a pretty good idea of what you need. Keep an eye on your budget though, because services can get pricey if your file number and sizes keep growing.

Best Overall: iDrive Best for Photos: Amazon Photos Best for Personal Use: Sync Best for Business: Google Drive Best Free Cloud Storage: Degoo

The type of cloud storage you need depends a great deal on what you need to back up or store. We took that into consideration while evaluating the different options.

Free Storage: We compared how much storage each service offered in its free tier, if it had a free tier. More storage space can give you more time to decide if its the right service for you.

Security and Encryption: Sensitive information needs extra protection. We checked to see what kind of security and encryption each service included and the upgrades needed to access the best security (end-to-end encryption).

Sharing and Collaboration: Some cloud storage services are designed for sharing and collaboration, while others are more bare-bones or lean toward backup services. However, most people and businesses will eventually need to share something theyve got on the cloud, so we checked to see how easy that is.

Third-party Integrations: Third-party integrations can make it easier to upload, download, and edit documents and photos in cloud storage.

Upload and Download Speeds: All the storage in the world wont mean much if it takes 10 minutes to upload a single photo.

Related: The Best External Hard Drives for All the Jpegs Youll Never Download

Why It Made The Cut: This service made the cut for its ease of setup, disk image backup, and restore options, as well as the ability to connect unlimited devices to a single account.

Specs: File size limit: 2GB Free storage: 5GB Mobile app: Yes

Pros: Fast, simple setup Ability for bulk uploads Fast upload speeds Unlimited devices on a single account Security

Cons: Storage isnt unlimited Basic sharing

The iDrive service offers the best cloud storage service with its reliable backup and access to stored information for personal, team, and business purposes. It has plans that cover these bases, as well as a photo plan that caters to creatives.

You also get the option of a private inscription key or an iDrive management key. A private key offers the best security, but if youre prone to losing passwords, stick with the latter. iDrives dashboard is fairly easy to navigate with self-explanatory tabs; the organization makes it easy for everyone to use. You can have an unlimited number of devices on each account.

From the dashboard, you can select which files to back up or choose all your data. You can also set the backup frequency. iDrive has a mobile app for both iOS and Android, so you can back up mobile devices too. The downside is that storage isnt unlimited, and youve got only basic sharing abilities. But overall, its a robust option thats simple to use.

Why It Made The Cut: Amazon offers automatic photo uploading, unlimited storage, and photo printing, along with no photo size restrictions.

Specs: File size limit: None Free storage: Yes, with Prime membership Mobile app: Yes

Pros: Free with Prime membership No image size restrictions Automatic uploads Unlimited storage

Cons: Requires Amazon Drive desktop app to download photos over 2GB Fee if youre not a Prime member

If youve got Amazon Prime, there is no reason not to use their photo storage to protect and print your pics, because its one of the best cloud storage for photos. Prime members get unlimited storage with automatic uploads. There are also no image size restrictions, which pros can appreciate. One of the downsides is that when you download photos over 2GB, you cant use the mobile app or Drive website. Its the Amazon Drive desktop app only.

This photo-storage option from Amazon includes editing and tagging features to help you organize and find your photos. Theres also a fun feature that uses AI to locate specific photos based on search terms.

There are some downsides to this service, especially if you dont have a Prime membership. Youll pay a monthly fee to access all the features, and that fee goes up the more storage you need. However, even if you dont have a Prime membership, its a good deal for storing and accessing photos.

Why It Made The Cut: Sync offers excellent security for personal users and includes easy setup and access.

Specs: File size limit: Unlimited Free storage: 5GB Mobile app: Yes

Pros: Excellent security for personal use Can store older versions without eating up storage space Great price per terabyte Simple, efficient interface

Cons: Few third-party integrations Single-folder sync

Sync offers an excellent bang for your buck as far as paid services go and the best personal cloud storage. The free service stores up to 5GB, which wont take you very far. However, itll give you a good idea of whether this is the cloud storage service for you. The monthly fee for an individual plan isnt prohibitive, and it comes with excellent security features, with encryption when you download and upload.

The setup is simple, and the interface doesnt require an advanced degree to navigate. You keep a Sync folder on your computer, where you put everything you want backed up or saved. The service offers versioning, where you can store older versions of files, but those old versions dont count toward your storage limit.

Its got basic folder and file sharing, though not as robust as some services. It doesnt have the third-party integrations of larger services like Google Drive and Dropbox, but for the price, you get better security. Theres also the issue of single-folder syncing, which doesnt let you back up files outside the folder.

Why It Made The Cut: Google Drive lets businesses share documents, photos, and a whole lot more with simple access and generous storage.

Specs: File size limit: 5TB Free storage: 15GB Mobile app: Yes

Pros: Generous free storage Wide range of third-party integrations Great collaboration suite Store, share, sync, and collaborate from one place

Cons: Security isnt as tight as it could be No password protection on files

If youve got a team working on the same documents and using the same media, Google Drive makes the best cloud storage for business. If youre not sure if this is for you, consider that you can get 15GB of free storage space to test things out, which is pretty substantial. Granted, it will work better for a smaller team than a corporate one. Once you hit that 15GB storage mark, you enter paid subscription territory.

Google Drive has a 5TB file size limit, which could be an issue for some creatives in certain industries. However, for most offices, thats a generous file size. Where businesses really benefit is in the creation, editing, and collaboration that can take place on documents, sheets, and presentations. Google Drive includes an entire suite for working and collaborating with people all over the world. Plus, there are other Google services that can go along with Drive, like Gmail, calendars, and meetings.

On the downside, its not the most secure platform for storing files. You can control who sees documents with the right settings. However, there is no way to set a password for a document.

Why It Made The Cut: The free tier storage size coupled with an intuitive interface make Degoo the best free cloud storage for photos.

Specs: File size limit: 512MB (free plan) Free storage: 100GB Mobile app: Yes

Pros: Intuitive interface High storage limit in the free tier Works with several mobile platforms Photo storage maximizer

Cons: Free tier limits security

Degoo offers a large storage space of 100GB, which is more than most of the competitors. However, its geared toward photos, which eat up space faster than other file types. Once you get it set up, the interface is bright and intuitive, giving it a shallow learning curve.

Degoo offers a surprising amount of security, even in the free tier. Information gets encrypted in transit and while hanging out in storage. Theres also an end-to-end encryption option in which data is spread onto different servers for added protection, but its available only via subscription.

In short, Degoo offers accessibility with minimal effort on the part of the user. But if you want added security and more storage space, youll have to jump into the paid tiers.

It can be tough to fork over your hard-earned cash for a storage space you cant even see with your own eyes. There are free cloud storage services, but they usually require some compromises on the amount of storage space and file size limits. Most providers have a free tier in their pricing, but storage limits can range from as low as 2GB to as high as 200GB if you refer new customers. Storage services can charge from as little as a few dollars a year to a heftier one-time fee for a lifetime subscription with unlimited storage.

Check the details of the storage agreement. Some providers offer unlimited storage but shrink the size of archived images. Thats a problem if youre a photographer who might need to print older images. In that case, look for a service that stores images at their original size.

However, others may primarily need to store and share documents rather than photos or videos. Some services can handle both, while others specialize in one type of storage or another.

Finally, you have to think about the compatibility of cloud storage. Does it have an app for iOS, Android, and Windows? How easy is it to upload or download files? Will you use cloud storage for backing up your laptop, or only certain types of files?

Do you need to share files with family or a team? And how secure do you need those files to be? Some services offer encryption on the way in and out, while others are more about sharing the love than hiding your info. Services that offer end-to-end encryption and passwords on folders or files boost the security of sensitive information. Take some time to figure out how and if you want to share information.

Q: How secure is cloud storage?Stories of hackers breaking into cloud storage are not uncommon. Certain features definitely increase security. Two-step authentication, encryption in transit, passwords on files or folders, and end-to-end encryptions (which doesnt even allow the service employees access to files) are all features that improve security. While it might be scary to send your information for storage elsewhere, its probably safer than information on your hard drive, which is vulnerable to malware and spyware.

Q: How does cloud storage work?Cloud storage sends your files over the internet to a remote server or storage host. The servers connect remotely to any device with the right access information. Most providers host the information on several servers so that if one server goes down, the information doesnt get lost.

Q: How much does cloud storage cost?Price ranges are pretty varied, from free plans that offer anywhere from 2GB to 200GB of storage to paid services that are several figures with unlimited storage for large businesses. Decide on how much storage you need, what you need to store, and your budget to help you narrow down the provider that will work best for you.

Related: The Best Modems for Speedy Connections

For overall backup and storage, iDrive offers competitive pricing, security, and storage space. If you have a small business that needs lots of collaboration and document sharing, Google Drive provides some of the easiest options, though youll have to be careful about security if your documents have sensitive information.

This post was created by a non-news editorial team at Recurrent Media, Futurisms owner. Futurism may receive a portion of sales on products linked within this post.

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Cloud Storage Gateway Market Data and Acquisition Research Study with Trends and Growth by 2031 – Taiwan News

February 2, 2022 | Author: admin

Big Boom In Cloud Storage Gateway Market|Better Business Growth, A One-Stop Guide For Growing Business In 2022

The Cloud Storage Gateway Market economy has improved over the last few years. There have been more entrants and technological advancement, as well as a growing rate of expansion due to the measures taken against short-term economic downturns. This report has been based on a few different types of research. The findings have been obtained from both primary and secondary tools for gathering data. The study is a perfect blend of qualitative and quantifiable information, highlighting key market developments as well industry challenges in gap analysis with new opportunities that could be trending. A variety of graphical presentation techniques are used to demonstrate the facts.

The report provides a comprehensive description of Cloud Storage Gateway market that presents an overview of the global market. The information in this document includes a forecast (2021-2031), trends drivers both current and future as good opinions from industry professionals on these topics with technological advancements and new entry explorations, many people are looking for economic countermeasures to increase their growth rates. The competitive nature of the industry is forcing key players to focus on new merger and acquisition methods in order to maintain their power over market share.

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The influential players covered in this report are:

ABBAmazon Web ServiceCTERA NetworksEMCEmulexMicrosoftNetAppAgostoMaldivicaNasuni

Figure:

Topographical segmentation of Cloud Storage Gateway market by top product type, best application, and key region:

Segmentation by Type:

Private CloudPublic CloudHybrid Cloud

Segmentation by Application:

SMEsLarge Enterprises

Cloud Storage Gateway Market: Regional Segment Analysis

North America (USA, Canada, and Mexico)

Europe (Russia, France, Germany, UK, and Italy)

Asia-Pacific (China Korea, India, Japan, and Southeast Asia)

South America (Brazil, Columbia, Argentina, etc)

The Middle East and Africa (Nigeria, UAE, Saudi Arabia, Egypt, and South Africa)

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The main features on the report of 2021 Global Cloud Storage Gateway Market:

The latest mechanical enhancements and Cloud Storage Gateway new releases to engage our consumers to produce, settle on instructed business decisions, and build their future expected achievements.

Cloud Storage Gateway market focuses more on future methodology changes, current business and progressions and open entryways for the global market.

The investment return analysis, SWOT analysis, and feasibility study are also used for Cloud Storage Gateway market data analysis.

Key Highlights of the Cloud Storage Gateway Market Research Report:

1. The report summarizes the cloud storage gateway Market by stating the basic product definition, the number of product applications, product scope, product cost and price, supply and demand ratio, market overview.

2. Competitive landscape of all leading key players along with their business strategies, approaches, and latest cloud storage gateway market movements.

3. It elements market feasibility investment, opportunities, the growth factors, restraints, market risks, and cloud storage gateway business driving forces.

4. It performs a comprehensive study of emerging players of cloud storage gateway business along with the existing ones.

5. It accomplishes primary and secondary research and resources to estimate top products, market size, and industrial partnerships of cloud storage gateway business.

6. Global Cloud Storage Gateway market report ends by articulating research findings, data sources, results, list of dealers, sales channels, businesses and distributors along with an appendix.

Need More Information aboutCloud Storage Gateway market:https://market.us/report/cloud-storage-gateway-market/

Key questions include:

1. What can we estimate about the anticipated growth rates and also the global cloud storage gateway industry size by 2031?

2. Who investors will use the specifics of our research, as well as some key parameters and forecast periods to guide their investment decisions?

3. What will happen in the coming existing and emerging markets?

4. All those vendors who make a profit; some do not.

5. What would be the upcoming cloud storage gateway market behavior forecast with trends, challenges, and drivers challenges for development?

6. What industry opportunities and dangers are faced by vendors in the market?

7. Which would be cloud storage gateway industry opportunities and challenges faced with most vendors in the market?

8. What are the variables affecting the cloud storage gateway market share?

9. What will be the outcomes of this market SWOT five forces analysis?

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Cloud Storage Gateway Market Data and Acquisition Research Study with Trends and Growth by 2031 - Taiwan News

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How to use the Samsung My Files app – Digital Trends

February 2, 2022 | Author: admin

If you have a Galaxy phone, you also have a My Files app but you may not have used it yet. The Samsung My Files app is all about utility and managing storage, but users rarely need it unless something goes wrong. If you cant locate a file on your phone, but youre sure it was downloaded, this app can help. Likewise, if you want to transfer specific files from your computer to your phone (and vice-versa) but arent sure how to, the My Files app will prove necessary.

Lets go over how to find the My Files app, and the useful things it can do for Galaxy phone users.

The easiest way to get to My Files is to open search and type in my files. If you want to do it manually, swipe up on your screen to reveal all apps and navigate to your Samsung folder. My Files should be in this folder.

When you open My Files, youll notice its divided into two sections. The top section is your main file management menu. You can see the different categories of files on your phone like Images, Audio, Documents, Downloads, and more.

The second section focuses on all your storage options, both local (the hard drive inside your Galaxy phone), external (another computer or external hard drive that you have connected via cable or card slot), and online (cloud storage that you are using to store and retrieve files). If you add a storage app like OneDrive, it will appear here.

The storage section allows you to enter your cloud storage and access the files you keep there, but it also lets you see how much internal storage you have left remaining.

Lets break things down by taking a look at specific tasks My Files can help with, and problems that it can solve when using your phone.

If you know you downloaded a file but arent sure where it ended up (it happens to all of us), just open up My Files and select Downloads. Allow your most recent downloads will appear here in chronological order, so you should be able to spot your file in the last few downloads.

This is also a good way to check when you know something was downloaded, but arent sure what it was. Sometimes the type of file can indicate if it may have been malware or another problem just dont open it if you arent sure.

We mentioned that My Files can tell you have much storage space you have left, but its also a good way to manage storage when a problem occurs. If youve had your Galaxy for a while, you may be running out of storage space, which can also cause crashes, slow performance, and other issues. Thats a sign its time to head into My Files, scroll to the bottom of the app, and select Analyze Storage.

This will open a new window that will break down exactly whats being stored on your phone. If your Recycle Bin has files in it, you can empty it to clear some space. Scroll down and you will be able to see notifications about any unused files, especially large files, or duplicate files that you can get rid of, too. Even the breakdown of file types on your Galaxy can help you know where to begin deleting files based on whats taking up the most space (video is a common culprit).

If you move between multiple cloud storage apps, you may know that a certain file is in cloud storage, but not exactly where. The My Files app is one of the quickest ways to check. Just look in the storage section at all connected cloud storage drives, and pop each one open at a time to check on the files.

First, youll need to have a compatible SD card installed in the Galaxy card slot: Certain models, such as the Galaxy S21, do not have an SD card slot and cannot transfer files this way.

Next visit My Files and you should see the SD Card appear in storage, right underneath Internal Storage. Use the Categories section to find the file you have in mind, then do a long press on the file itself. This will open up options to Move or Copy the file. Select Move, then back out and enter the SD Card section. You can navigate to a particular folder in SD Card if you want, but its not necessary. When ready, select Move Here at the bottom of the screen and your file will be deposited on the card.

If youre ready to delete a specific file, the My Files app makes it easy. When you find the file you want to get rid of, touch and hold the file with a long press until the file options appear at the bottom of the screen. Choose Delete, and the file will go to the trash for permanent deletion after 30 days.

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How to use the Samsung My Files app - Digital Trends

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Poll: With no more unlimited photo backups, have you bought a Google One plan? – Android Authority

February 2, 2022 | Author: admin

Jimmy Westenberg / Android Authority

Google ruffled feathers last year when it ditched free unlimited Google Photos backups, forcing people to buy Google One storage if theyve exceeded their free 15GB plan.

Its been half a year since Google first instituted this change and we want to know whether youve actually bought Google One storage since then. You can give us your answer by taking the poll below.

531 votes

Yes, 100GB

27%

Yes, 200GB

6%

Yes, 2TB

5%

Yes, 5TB

0%

Yes, 10TB

0%

Yes, 20TB

0%

Yes, 30TB

0%

No, I haven't

60%

We can see why people would want to splash out on a plan, as you only get 15GB of base free Google One storage thats shared across Google Photos, Drive, and Gmail. So its possible that youve already exceeded your free allocation and that switching to a different photo backup service would be a hassle.

Google Photos also offers some handy features, such as automatic backups, smart categorization, slick sharing functionality, and a decent variety of editing tools. So we could see why spending money on cloud storage might be a no-brainer given the convenience of it all.

On the other hand, there are quite a few alternatives out there. Additionally, some people might also be content with managing their free 15GB allocation.

Either way, you can give us your answer via the poll and leave a comment if you have more on your mind.

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Poll: With no more unlimited photo backups, have you bought a Google One plan? - Android Authority

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WhatsApp is testing a limited backup plan for users, as Google Drive may change its cloud storage game plan – Digital Information World

February 2, 2022 | Author: admin

WhatsApp is one of the best communication apps that are available in the market. The company has been providing its services to the world since 2009. They were once crowned as the best communication app to ever exist. The app was then bought by Facebook which is now known as Meta.

WhatsApp provides its users with a vast variety of features to choose from. Users can text, call or even video call with their friends and family which is really great if you live far from each other. It provides free services to everyone and requires nothing but a smartphone and a stable internet connection.

We all know that the company has been trying to come up with new features and updates so that they can improve their user engagements. Recently we saw that they were planning to bring out pencils which would enable users to draw on their pictures and videos. Apart from that, the company was even trying out some changes in its GUI which would give the app a new and cool look.

According to a report by WABetaInfo, Google is planning to come up with some new features for WhatsApp which include plans for its backup as well. A few years ago, there was a contract signed by both Google and WhatsApp which stated that there would be no limit for users as far as their backup space is concerned. They can use as much storage as they can, which would not be counted on their Google Drive accounts quota.

But WABetaInfo said in a blog post that the company is planning to come up with a new plan for WhatsApp where users wont have the liberty of unlimited backup space. Instead, they will be provided with a free backup plan which would limit users to a certain space.

A few changes that we might see when this update comes out are:

Notifications when the Drive is about to overflow

When its limit is reached

Option for selecting relevant messages

There is no news about how much space they are going to offer in this new backup plan, but we hope that they at least offer us half of what they do in Google Drive.

Read next:WhatsApp Tests New Media Picker, Restricts Certain Group Invite Links

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WhatsApp is testing a limited backup plan for users, as Google Drive may change its cloud storage game plan - Digital Information World

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IBM shrinks in fourth quarter as revenues and profits grow but storage detail is invisible Blocks and Files – Blocks and Files

February 2, 2022 | Author: admin

After spinning off the unwanted Kyndryl (Global Technology Services business) IBMs fourth 2021 quarter revenues grew compared to the restated year-ago quarter, and profits rose as well. But, despite, assertions of greater transparency, IBMs storage hardware numbers were not visible ending our ability to track them.

Revenues in the quarter ended Dec 31 were $16.7 billion, up 6.5 per centyear-on-year compared to the restated (ex-Kyndryl) Q4 2020 quarters $15.68 billion. Before restatement the Q4 2020 revenue was $20.37 billion see how IBM has shrunk by spinning off Kyndryl. There was a profit of $2.3 billion, up 71.9 per cent on the restated year-ago quarters profit of $1.36 billion; it was $1.3 billion before restatement.

Arvind Krishna, IBMs Chairman and CEO, said Our fourth quarter results reinforce our confidence in our strategy and model. With solid revenue growth, we are on track to the mid-single digit trajectory we had laid out in our investor briefing last October.

The old and new segment structures look like this:

SVP and CFO Jim Kavanaugh described the new structure: We have put in place a simplified management system and segment structure aligned to our platform-centric model. And within the segments, were now providing new revenue categories and metrics that will provide greater transparency into business trends and drivers. But there is no greater transparency into storage sales. In fact there is less.

Unlike previously there is now no way for us to get IBMs storage hardware revenue number, meaning we can no longer track its progress. The storage software revenue number has never been provided for the 12-year period we have been following IBM storage, and we havent ever been able to track its progress.

We can say that IBM storage products are now sold through two business units. Here they are together with segment and component revenues:

1. Software (includes Hybrid Platform & Solutions, Transaction Processing) revenues of $7.3 billion, up 8.2 per cent year-on-year.

Software segment hybrid cloud revenue was up 22 per cent.

2. Infrastructure (includes Hybrid Infrastructure, Infrastructure Support) revenues of $4.4billion, down 0.2 per cent (including about 5 points from incremental external sales to Kyndryl).

Distributed Infrastructure includes Power hardware and operating system, storage hardware, IBM Cloud IaaS, and OEM asset recovery service. Kavanaugh said Infrastructure [is] more of a value vector [and] tends to follow product cycles, compared to Software and Consulting which are called growth vectors.

Tends to follow product cycles refers, we think, mostly to the mainframe product cycle and, therefore, mostly to mainframe-attached DS8000 storage arrays.

Krishna said Infrastructure had a good quarter, especially with regards to IBM Z and storage. Thats an odd thing to say as IBM Z revenues were down 6 per cent. But Kavanaugh explained: We had some large, perpetual license transactions given the good expansion in IBM Z capacity weve seen this cycle. We think this means it could have been worse.

He also said In Distributed Infrastructure, revenue was up 7 per cent driven by pervasive strength across our storage portfolio. Thats good news and we expect it includes FlashSystem sales. These include previously separate Storwize array products.

IBMs outlook is for mid-single-digit growth throughout 2022. Kavanaugh said a new Z mainframe introduction in the first half of 2022 should drive Infrastructure segment revenues higher.

IBM shares are now trading at $134.50; they were $124.86 just before the results were posted.

Originally posted here:
IBM shrinks in fourth quarter as revenues and profits grow but storage detail is invisible Blocks and Files - Blocks and Files

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