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Google Cloud Platform (GCP) is Google’s public cloud offering comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon Google's massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. There is a wide range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). We will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.

The change we have been talking about for years is here: IT Departments are being torn apart and reassembled in new and interesting ways, as one by one companies make their move to the Cloud. As predicted, IT Pros are being asked to take on new and different roles and to be more involved in the business. In this session, we will look at some of these new roles; what’s working, what’s failing, who is succeeding and who has been left behind. Being an IT professional today is exciting as it is scary. There is lots of opportunity; but so many gaps to fall into. It is time to take inventory and ask yourself: are you well positioned to succeed? Related: Ten IT Skills on the Brink of Extinction

We spoke with Doug Cutting about his role with Cloudera and learned more about Big Data, training options for IT professionals interested in Big Data, and how Cloudera compares to Red Hat.

Let's look at 10 ways the cloud will change (and to a large degree already has changed) the world.

This article defines many of the most commonly used terms in the virtualization vocabulary.

Whether you’re a beginner or intermediate Python developer, you’ll want to keep this guide close to your keyboard and Python editors. In it, you’ll find sample use cases for many of the most common language constructs and tasks that you’ll likely need to perform, such as reading a file or working with a database.

In this hour-long webinar, Global Knowledge course director Brian Egler will examine key new features of Microsoft SQL Server 2016 that demonstrate how it provides automatic end-to-end security, seamless generation of business analytics and elastic integration of data in the cloud.

Managing the change of DataStage components can often become a test of wills. Picture fitting a square peg in a round hole, and you might start to get the idea. The complexity of what is required to promote components from one environment to another during the development, testing, and eventual implementation in the production environments, should be and is often a controlled activity.

With Microsoft SQL Server 2016, you can distribute your data to the cloud using the Stretch Database feature to improve local access while allowing cloud access to large amounts of historical data. You can also provide transparent end-to-end security using Always Encrypted technology and track changes automatically through temporal data. Download this white paper to learn why these features and more make SQL Server 2016 Microsoft's most important release to date.

Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.