Amazon founder Jeff Bezos has long talked about moving manufacturing and other industrial activities off the earth as a way to preserve our only home. The cloud giant took one small step toward a sustainable commercial space economy this week with the launch of a dedicated space business unit.

Amazon Web Services Aerospace and Satellite Solutions operation is built around ground stations that provide downlinks to satellites, then process, store and transmit image and other sensor data they capture. The goal, the company said Tuesday (June 30), is to bring AWS services and solutions to the space enterprise.

The service would offer low-latency Internet access, high-resolution Earth observation and ubiquitous Internet of Things connectivity. The effort includes launching new services that process space data on Earth and in orbit, AWS said in a blog post unveiling the orbiting cloud business.

The company (NASDAQ: AMZN) also announced the hiring of retired U.S. Air Force Major General Clint Crosier to head the new space business unit. Crosier previously served as planning director with the U.S. Space Force.

Among the first components of the space cloud effort is the AWS Ground Station, a managed satellite communications service used to downlink, process and distribute satellite data in near real-time. It can also be used to uplink satellite commands across multiple cloud regions. Among the early customers for the service is NASAs Jet Propulsion Laboratory and aerospace giant Lockheed Martin Corp. (NYSE: LMT).

Another early ground station customer, earth observation specialist Capella Space, uses AWS infrastructure to operate a constellation of synthetic-aperture radar satellites. The San Francisco-based company plans to launch hourly SAR global coverage that could be delivered to commercial and government users in near-real time.

Using web applications or APIs, customers request coverage over specific locations. Those imaging tasks are routed to Capella satellites. Imagery is then downlinked to the AWS cloud for processing and delivery.

The AWS space network would link cloud customers to data lakes and storage, edge computing, virtual mission operations, secure satellite connectivity, image processing and intelligence analytics as well as AI and machine learning capabilities, the company said.

The managed service is positioned as a way to communicate with satellites, process data and scale those operations once data are migrated to the cloud. Ground stations are located in the AWS U.S. West (Oregon), U.S. East (Ohio), European Union (Stockholm, Sweden), and Middle East (Bahrain). An Asia Pacific ground station came online in Sydney, Australia, in April, the companys first in the Southern Hemisphere.

The network streams satellite data to the AWS Elastic Compute Cloud for processing. Data sets are then stored and archived. Among the data analytics options are the companys Rekognition image analyzer along with SageMaker for applying AI and machine learning algorithms to satellite imagery.

Ultimately, satellite communications and data transfer rely on access to ground-based antennas. Hence, AWS emphasized that ground station users pay only for the actual antenna time that [they] use. The pay-as-you-go model allows customers to use any antenna in the AWS ground station network.

Those data are then downlinked to the appropriate AWS cloud region to speed processing. Immediate data processing is promoted for satellite applications such as weather forecasting or responding to natural disasters.

That consumption pricing model also addresses growing concerns about skyrocketing data egress charges as data are move in and out of cloud storage.

Related

About the author: George Leopold

George Leopold has written about science and technology for more than 30 years, focusing on electronics and aerospace technology. He previously served as executive editor of Electronic Engineering Times. Leopold is the author of "Calculated Risk: The Supersonic Life and Times of Gus Grissom" (Purdue University Press, 2016).

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AWS Takes the High Ground with Space Unit - EnterpriseAI

The latest report on Cloud Storage Gateways market now available at MarketStudyReport.com, delivers facts and numbers regarding the market size, geographical landscape and profit forecast of the Cloud Storage Gateways market. In addition, the report focuses on major obstacles and the latest growth plans adopted by leading companies in this business.

The research report on the Cloud Storage Gateways market covers updated information of this industry vertical alongside an in-depth analysis of the growth markers that will expand the business landscape over the study period. It renders robust outlook for Cloud Storage Gateways sales in ensuing quarters and predicts how it would support earnings expansion and augment the year-over-year growth rate.

The most likely (base case) scenario is that the global Cloud Storage Gateways sales will be xx in 2020 from Cloud Storage Gateways million in 2020, with a change xx% between 2020 and 2020. In addition, based on the latest study, it is to predict that the Covid-19 will be under control in key countries like the United States, Western Europe, East Asia, by the end of Q2 (June), and will resume normal production in Q3 and Q4, the global Cloud Storage Gateways market size is expected to grow at xx% or more annually for the next five years.

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This report also researches and evaluates the impact of Covid-19 outbreak on the Cloud Storage Gateways industry, involving potential opportunity and challenges, drivers and risks. We present the impact assessment of Covid-19 effects on Cloud Storage Gateways and market growth forecast based on different scenario (optimistic, pessimistic, very optimistic, most likely etc.).

The analysts and industry reckon that the Cloud Storage Gateways sales will amass modest traction marking a positive scenario. That said, the competition in this business sphere is rising constantly.

The market analysis also dissects the geographical landscape and individually assess each of the listed regions and their invaluable contribution to the overall industry growth. Moreover, the report profiles the various companies that define the competitive landscape of the industry with respect to the manufacturing framework and downstream buyers.

Key highlights of the Cloud Storage Gateways markets regional scope:

Additional highlights from the Cloud Storage Gateways market report:

Competitive Landscape and Cloud Storage Gateways Market Share Analysis

Cloud Storage Gateways competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Cloud Storage Gateways sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Cloud Storage Gateways sales, revenue and market share for each player covered in this report.

A brief overview of the competitive landscape of the Cloud Storage Gateways market:

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Table of Contents:

Executive Summary: It includes key trends of the Cloud Storage Gateways market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the Cloud Storage Gateways market based on production and revenue.

Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.

Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Cloud Storage Gateways market.

Market Segments: This part of the report discusses about product type and application segments of the Cloud Storage Gateways market based on market share, CAGR, market size, and various other factors.

Research Methodology: This section discusses about the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.

Key questions answered in the report:

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Cloud Storage Gateways Market Expected to Witness the Highest Growth 2025 - Cole of Duty

Did someone tell your data to shelter in place? That wouldn't make any sense, would it? Ironically, for vast troves of valuable enterprise data, that might as well be the case, because massive, compute-bound data silos are practically everywhere in the corporate world.

Hadoop played a role in creating this scenario, because many large organizations sought to leverage the twin promises of low-cost storage and massively parallel computing for analytics. But a funny thing happened to the yellow elephant: It was largely obviated by cheap cloud storage.

Seemingly overnight, the price of cloud storage dropped so precipitously that the cost-benefit analysis of using the Hadoop Distributed File System (HDFS) on-premises for new projects turned upside down. Even the term "Hadoop" disappeared from the names of major conferences.

That's not to say there isn't valuable data in all those HDFS repositories, however. Many important initiatives used this technology in hopes of generating useful insights. But with budgets moving away from Hadoop, another strategy is required to be successful.

What about computing? Suffice to say, cloud providers now offer a robust service in this territory. And relatively recent innovations such as separating computing from storage have also played a part in paving the way for cloud-based computing to take on all manner of workloads.

So the cloud now easily eclipses most on-premises environments in all the major categories: speed, cost, ease of use, maintenance, scalability. But there are barriers to entry; or at least pathways that should be navigated carefully while making the move. Mistakes can be very costly!

But how do you get the data there? Amazon actually offers a "snow truck" that will come to your data center, load it up one forklift at a time, and haul it, old-school, to its facility. That approach can certainly work for a quick-and-relatively-dirty solution, but it ignores the magic of cloud.

As the concept of "cloud-native" gets hashed out on whiteboards in boardrooms around the business world, the reality taking shape is that a whole new generation of solutions is being born. These systems are augmented with high-powered analytics and artificial intelligence.

This new class of application is almost exclusively built on a microservices architecture with Kubernetes as the foundation. There is tremendous value to this approach, because scalability is built into its DNA. Taking advantage of this new approach requires a commitment to change.

Simply shipping your data and applications en toto to a cloud provider absolutely does not solve this challenge. In fact, it will likely result in a significant rise in total cost of ownership (TCO), thus undermining a major driver for moving to the cloud.

Another strategy involves porting specific data sets into the cloud to deploy the power of all that computation. This often involves making copies of the data. While change-data-capture can be used to keep these disparate environments in sync, there are downsides to this approach.

In the first place, CDC solutions always need to be meticulously managed. Small amounts of data drift can quickly become larger problems. This is especially problematic when the derived analytics are used for mission-critical business decisions, or customer-experience initiatives.

Secondly, by going down this road, organizations risk the proliferation of even more data silos--this time in the cloud. And while cloud storage is getting cheaper, the cost of egress can creep up and throw budgets sideways; this is not good in a post-COVID world.

Remember, the standard redundancy of Hadoop was to have three copies of every datum, which is good for disaster recovery but rather taxing overall, both in terms of throughput and complexity. While moving into the new world of cloud computing, we should avoid old errors.

A different approach to bridging the worlds of on-prem data centers and the growing variety of cloud computing services is offered by a company called Alluxio. From their roots at the Berkeley Amp Labs, they've been focused on solving this problem.

Alluxio decided to bring the data to computing in a different way. Essentially, the technology provides an in-memory cache that nestles between cloud and on-prem environments. Think of it like a new spin on data virtualization, one that leverages an array of cloud-era advances.

According to Alex Ma, director of solutions engineering at Alluxio: "We provide three key innovations around data: locality, accessibility and elasticity. This combination allows you to run hybrid cloud solutions where your data still lives in your data lake."

The key, he said, is that "you can burst to the cloud for scalable analytics and machine-learning workloads where the applications have seamless access to the data and can use it as if it were local--all without having to manually orchestrate the movement or copying of that data."

In this sense, Alluxios approach bridges the best of both worlds: You can preserve your investments in on-prem data lakes while opening a channel to high-powered analytics in the cloud, all without the encumbrance of moving massive amounts of data here or there.

"Data locality means bringing the data to compute, whether via Spark, Presto, or Tensorflow, Ma said. In this scenario, Alluxio is installed alongside the compute framework and deploys unused resources on those servers to provide caching tiers for the data.

There are various ways to get it done, depending upon the topology of the extant information architecture. In some environments, if Presto is using a lot of memory, Alluxio can allocate SSDs on the appropriate machines for optimized caching.

If you're tying into HDFS, Presto can make the request, and Alluxio's intelligent multi-tiering then uses whatever the most efficient approach might be--spanning memory, SSD or spinning disc. It all can be optimized as Alluxio monitors data access patterns over time.

Regardless of which tools an organization uses--Tensorflow, Presto, Spark, Hive--there will be different usage patterns across CPU, GPU, TPU and RAM. In the case of RAM and available disk types, Alluxio can work with whatever resources are available.

"Spark is less memory-intensive," Ma said, "so we can allocate some memory. So you have choice to figure out what you want to allocate and where. Alluxio allows you to seamlessly access the data in the storage area, wherever it may be."

There's also the concept of a Unified Name Space. "What it allows you to do is have a storage configuration that's centrally managed, Ma said. You're not going into Spark and Presto to set it all up; you're able to configure Alluxio once, and then Spark or Presto communicate to Alluxio."

The general idea is to create a high-speed repository of data that allows analysts to get the speed and accuracy they demand without giving into the temptation of data silos. Think of it as a very large stepping stone to the new normal of multi-cloud enterprise computing.

"With Alluxio, we sit in the middle and offer interfaces on both sides; so we can talk to a variety of different storage layers, Ma said. We act as a bridging layer, so you can access any of these technologies. In short, you can have your data cake and eat it too.

Like any quality abstraction layer, solving the data challenge in this manner enables companies to leverage their existing investments. Data centers will have a very long tail, and cloud services will continue to evolve and improve over time. Why not get the best of both worlds?

Eric Kavanaghis CEO of The Bloor Group, a new-media analyst firm focused on enterprise technology. A career journalist with more than two decades of experience in print, broadcast and Internet media, he also hostsDM Radio,and the ongoing Webcast series for the Global Association of Risk Professionals (GARP).

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Deploying the Best of Both Worlds: Data Orchestration for Hybrid Cloud - eWeek

Microsoft is releasing its own Windows File Recovery tool, designed to retrieve files youve mistakenly deleted. Windows File Recovery is a command line app that will recover a variety of files and documents from local hard drives, USB drives, and even SD cards from cameras. Recovery of files on cloud storage or network file shares is not supported, though.

Like any file recovery tool, youll need to use it as soon as possible on deleted files to ensure they havent been overwritten. Youll be able to use Microsofts new tool to recover MP3 files, MP4 videos, PDF documents, JPEG images, and typical Word, Excel, and PowerPoint documents.

Microsofts file recovery tool has a default mode thats designed primarily for NTFS file systems. It will recover files from a corrupted disk or after youve formatted a disk. A second signature mode will likely be the more popular option, allowing users to recover specific file types across FAT, exFAT, and ReFS file systems. This signature mode may also take longer to retrieve files.

Windows File Recovery will be a useful tool for anyone who has accidentally deleted an important document, or wiped a drive clean by mistake. Microsoft already provides a Previous Versions feature in Windows 10 that lets you recovery documents you may have deleted, but you have to specifically enable this using a File History feature thats disabled by default.

Read the original post:
Microsofts new Windows File Recovery tool lets you retrieve deleted documents - The Verge

The Business Cloud Storage Market recently Published Global Market research study with more than 100 industry informative desk and Figures spread through Pages and easy to understand detailed TOC on Business Cloud Storage Market.The report provides information and the advancing business series information in the sector to the exchange. The report provides a notion connected to the progress of this market movement of significant players of this industry. An examination of this Business Cloud Storage market relies upon aims, which are of coordinated into market analysis, is incorporated into the reports.

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Top Companies in the Global Business Cloud Storage Market:Zoolz, OpenDrive, JustCloud, MozyPro, Egnyte, CrashPlan, Dropbox, Carbonite, OpenText, Box,

This report segments the market on the basis ofTypesare

Less than 100GB

100GB to 1TB

1TB to 5TB

More than 5TB

On The basis Of Application, the market is segmented into are

Primary Storage Solution

Backup Storage Solution

Cloud Storage Gateway Solution

Data Movement And Access Solution

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Regions covered By Business Cloud Storage Market Report 2019 To 2025 are:North America (The United States, Canada, and Mexico), Asia-Pacific (China, India, Japan, South Korea, Australia, Indonesia, Malaysia, and Others), Europe (Germany, France, UK, Italy, Russia, and Rest of Europe), Central & South America (Brazil, and Rest of South America), and Middle East & Africa (GCC Countries, Turkey, Egypt, South Africa, and Other).

Impact of the Business Cloud Storage market report: Comprehensive evaluation of all opportunities and risk in the market. Business Cloud Storage market ongoing developments and significant occasions. Detailed study of business techniques for development of the market-driving players. Conclusive study about the development plot of market for approaching years. Top to bottom appreciation of market-explicit drivers, objectives and major smaller scale markets. Favorable impression inside indispensable mechanical and advertise most recent patterns striking the market.

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Business Cloud Storage Market To Witness the Highest Growth Globally in Coming Years 2020-2026 - Cole of Duty