The Ever Changing World of HPC

In this eBook, we’ll take a look at some areas of the HPC world where interesting changes are currently underway.HPC World is ChangingManaging the ChangeDealing with Big DataRequest Free!

21st Century Threats Demand 21st Century Security Approaches

Welcome to the golden age of hacking. This is the reality that businesses operate in today. An amalgamation of legacy and new technology systems and processes, traditional approaches to information security, and explosion of growth in data collection is pushing enterprises to a breaking point. Hardly a week goes by without news of a data breach discovery — often one where attackers have had access for a long period of time. Targeted attacks and advanced threats are becoming the norm. Stakeholders from across the enterprise are tuning in and recognize that data protection is paramount, yet security leaders continue to face challenges adapting to today’s threats, protecting their data, and articulating the value of security investments.

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Evolution of End User Computing

End user computing as we know it is undergoing a huge transformation; it’s no longer about the device or technology, it’s about the overall experience. Wise CIOs should embrace and proactively respond to these changing trends.Dell recommends Windows 10…

Simplify Your Data Center with Hyper-Convergence

The time for 21st century data center architectures is here. Software controllable hyper‐converged data center appliances enable new levels of flexibility, reliability and performance that companies of all sizes and types can now start to take advantage of.

Learn about Pivot3’s attributes, such as their:

  • vSTAC OS
  • Their single, unified cache
  • How they have leveraged patented and well‐proven Scalar Erasure Coding (SER) to deliver over 90% storage efficiency

With these kinds of solutions, companies can spend less time focusing on the nitty‐gritty and complications of their data centers and focus more on their business objectives.

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IT Executive’s Guide to Big Data and Hadoop

Big data has the potential to transform the way you run your organization, and a conversation about big data is incomplete without mentioning Apache Hadoop. Large and small enterprises alike use Hadoop to store, manage and analyze large amounts of data to gain better understanding of their business. In this highly dynamic field, nonstop innovation goes beyond the original batch processing scenarios to influence new use cases like streaming and real-time analysis – but where do you start?

Download The IT Executive’s Guide to Big Data and Hadoop to learn:

  • When “plain old” data turns into big data and a basic understanding of database sizes
  • Implications of not handling big data correctly
  • 10 things to look for when evaluating Hadoop technology

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SQL-on-Hadoop Engines Explained

Hadoop is regarded as one of the best platforms for storing and managing big data – but Hadoop APIs like HDFS, MapReduce and HBase can be quite complex for non-technical users. A programming interface must be put into place to retain Hadoop’s performance and scalability while being leveraged by reporting and analytics tools non-technical users understand and recognize. SQL is a high‐ level, declarative, and standardized database language, it’s familiar to countless BI specialists, it’s supported by almost all reporting and analytical tools, and has proven its worth over and over again.

Download SQL-on-Hadoop Engines Explained to learn about:

  • Real world SQL-on-Hadoop use cases
  • How to solve some challenges that come with leveraging an SQL-on-Hadoop engine
  • Details about Apache Drill, the SQL-on-Hadoop engine that supports HDFS and HBase access

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