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Not surprisingly, with all the momentum in hybrid cloud infrastructure, were starting to hear the term hybrid cloud analytics pop up in the modern business intelligence (BI) market. However, its a term that is being overused and misunderstood as those in the industry seek to align with the latest trend. We see the future value of hybrid cloud computing as helping to empower customers to embrace a cloud strategy of their own versus having it dictated to them by a vendor.

A hybrid cloud environment is defined by the customer. What do I mean by that? I mean that a hybrid cloud solution should not dictate where or which cloud the customer must use with their on-premise installation. Although this point should seem obvious, some large vendors in the space are ignoring this critical point, as they dictate choices based on their (lack of) capabilities.

Theres a lot of confusion about what is possible with hybrid cloud analytics so I will offer to clarify what hybrid is, and what its not. I will break down into three parts:

Im surprised by the number of market entrants that were born in the cloud, and use that as their core differentiation. Cloud computing is a delivery vehicle. Simple visualizations of data via the cloud are not going to drive business value. As the pioneer and leader in the modern BI market, weve learned that customers need both a broad and deep analytical approach to better visualise, explore and understand their data. This is important to become more

informed, gain new insights and make better decisions to derive real business value through analytics. Having a dumbed-down analytics solution that is delivered via the cloud is just going to keep you behind your competition. Having said that, we do see value in cloud delivery of world-class analytics, which many customers currently deploy on their own private clouds.

Today, companies need a choice of deployment options, whether on-premise or in a private cloud leveraging the infrastructure of their choice. They get to choose where they want analytics to run.

However, the truth is that an either-or choice does not truly represent where the vast majority of customers are today in their IT investments, and where they plan to be over time. Most customers that we talk to have both data and applications that run on-premise, behind their firewall, as well as data and applications that both originate and run in the cloud. The world is not black and white; it has many shades of grey. Thats why a true hybrid approach is required to help support both where customers are today, as well as help them migrate more of their workloads off-premise over time as they so choose. A hybrid cloud approach to analytics is key to enabling a customers cloud strategy vs. dictating it. This is why the trend is pointing toward hybrid cloud analytics.

The simple definition of hybrid cloud is a computing environment that uses a mix of on-premise, private cloud, and/or public cloud infrastructure to deliver services, with orchestration between the platforms. This could be hybrid cloud joins multiple clouds or on-premise installations with cloud-based installations. Under that general definition, many vendors will claim hybrid cloud analytics in their marketing verbiage. Although being able to publish an analytical application (or sheet for some) from an on-premise installation to a cloud offering could be valuable, it is not hybrid cloud analytics.

Where the data resides in a true hybrid cloud analytics solution should not matter to the user who could access it from any device based on their role and security permissions. A properly governed solution allows you to define rules around where data and/or the analysis on that data can be stored or run you can create enforcement rules on where things can and will reside based on the sensitivity and security of that dataset. It should be easy to manage user entitlements and licensing between the platforms. A hybrid cloud analytics solution must allow for bi-directional migration to/from one infrastructure environment to another and should be managed as one, seamless environment across infrastructure boundaries via a single console.

This is where the future of true hybrid cloud analytics is headed because these are the considerations IT leaders are taking to safeguard their data while gaining the flexibility and scalability for more self-service use of data in the cloud.

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Hybrid cloud analytics: Don't be cloud-washed by the new term on the block - Cloud Tech

Financial results for the fourth quarter of 2016 reveals massive growth for the top cloud providers. With 47% and 93% revenue growth for Amazon AWS and Microsoft respectively, one thing is clear cloud is growing at a breakneck pace.

Enterprises and small businesses will continue to adopt and invest in cloud technology. Ciscos Global Cloud Index whitepaper shows global cloud IP traffic will almost quadruple over the next five years.

But the rapid expansion of cloud has created a skills gap; theres a lack of qualified cloud professionals. To support this growing demand, businesses require skilled cloud professionals.

Take advantage of this opportunity and expand your cloud skill set; how many of these in-demand skills do you possess?

Its estimated that 80% of the worlds data is dark collected and stored by computers, but invisible and unusable to organisations.

Big data systems - delivered through the cloud - are starting to tap into this potential resource and the sector is predicted to grow at a rate of 60% annually, report IDC.

Experts argue that cloud will be the place where enterprise databases live The cloud is going to be the destination for a lot of this big data moving forward says Jeff Kelly, big data expert at Wikibon.

Businesses need somewhere to store and access their data, which is now increasingly hosted in the public cloud. There are an abundance of cloud database services, provided by large cloud providers like Microsoft, Amazon AWS, and recently, Google. As organisations continue to migrate databases to the cloud, professionals should familiarise themselves with how these platforms work.

Amazon Web Services (AWS) provide Amazon Relational Database (RDS) which runs either MySQL, Oracle or SQL server instances. Alternatively, professionals can get to grips with the schema-less Amazon SimpleDB for smaller workloads.

Microsoft Azure uses SQL Database to provide access to a SQL database on the Azure platform, or a hosted SQL server instance on virtual machines.

Professionals can also opt for open source database platforms, like MongoDB. Learn how to code in Hadoop -- a massively popular language used to process masses of data -- and youll be well placed to take advantage of clouds big data revolution.

Luckily for professionals, database skills are well-supported by vendors. There are a number of database-focused Microsoft Azure certifications as well as the Big Data on AWS certification to support your learning.

There are also a huge breadth of big data and Hadoop MOOCs (Massively Open Online Courses) and certifications available from Cloudera.

As cyber threats become more complex and the number of businesses using the cloud attracts larger numbers of cyber criminals, cloud professionals must be increasingly vigilant when developing applications for the cloud.

The lack of thought given to security built into publicly used applications is a huge weakness, one that can be exploited by cyber criminals.

On average there are now 777 cloud apps in use in European organisations, but 94.4% of these apps are not enterprise-ready from a security standpoint states Eduard Meelhuysen, VP at cloud security firm Netskope.

Software developers must understand the security threats to software developed for cloud. It is ultimately the developers responsibility to ensure the security and compliance of their Azure applications.

Plus, when EU General Data Protection Regulation (GDPR) is introduced in 2018, Azure application security must improve or businesses will risk up to 17 million in fines.

However, with only 2% of cloud applications ready for GDPR, theres a massive amount of work ahead for cloud professionals.

If you need to develop your security skills - or prove them to potential employers - consider attaining (ISC)2s Certified Cloud Security Professional (CCSP) certification. This high-level certification is co-developed by the Cloud Security Alliance and provides an in-depth look at cloud application security.

Its not just small businesses that are migrating to the cloud, commercial enterprises are doing it too, and at an increasingly rapid rate.

Nearly 77% companies relied on traditional IT infrastructure in 2015. As large businesses migrate to cloud-based infrastructure, this number is likely to drop down to 43% in 2018, according to a report from MicKinseys Silicon Valley group.

But enterprises migrating their applications and services to the cloud continue to face roadblocks. Cloud migration challenges are among the top constraints for IT, according to a survey from Frost & Sullivan.

The cloud may offer some automated features, but migration is not one of them. This means that enterprises typically rely on customised, professional services from partners or providers.

Businesses require cloud professionals with the knowledge to oversee migration projects in an organised and secure way.

These professionals will also need in-depth knowledge of their chosen cloud platform. For Azure, professionals should consider attaining the Specialist: Implementing Microsoft Azure Infrastructure Solutions certification through the recommend Azure course.

Alternatively, AWS professionals should consider attaining the Certified Solutions Architect Associate, which covers the process of shifting an existing on premise application to AWS.

The cloud computing industry has witnessed a surge in the use of containers, a more agile and secure alternative to VMs, designed to virtualise a single application. Containers are an ingenious way to develop and deploy micro-services, especially for cloud-based apps.

Whilst arguably not a career-defining skill for most, knowledge of containers is becoming increasingly important for cloud professionals. 81% of businesses suggested that they will increase use of containers in the future, according to a survey from Robin Systems.

Interestingly, 40% of respondents also said they had already deployed big data applications tools, like Spark and Hadoop in their containers.

Containers promise to make operations more portable and efficient. Impressively, the application container market will grow from 610 million in 2016 to 2.17 billion by 2020.

Containers will be used for deploying solutions to solve real-world business problems. Companies will use them to provide new services that are secure, efficient, elastic, and scalable, says Anand Krishnan, EVP and GM of cloud at Canonical

Amazon AWS and Microsoft provide container services and associated tutorials. Take a look at the Microsoft Virtual Academy for a detailed tutorial on Azure Container Service or the Amazon EC2 Container Service walkthrough.

As more businesses launch public and private cloud initiatives, the importance of application development and testing in the cloud is increasing.

If applied properly, the cloud provides faster application development and can facilitate DevOps style collaboration. Other benefits include: using cloud features with minimal coding, reducing development time, and creating realistic distributed testing for application lifecycle management.

Amazon AWS supports development with the AWS SDK, enabling developers to code with Java, C#/.Net, Python and JavaScript. Theres also a AWS track for development and free training through a number of online self-paced labs.

Luckily, developers already familiar with Microsoft technologies, like the .NET framework and Visual Studio IDE, should find developing for Azure an easy transition. With solid infrastructure and service delivery guidelines behind Azure, most developers wont need much more than their existing skills to get started building apps for Azure.

Editor's note: Take a look at the 2016 must-have cloud skills list here. What do you make of both and how do they compare? Let us know in the comments.

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The top five in-demand cloud skills for 2017 - Cloud Tech