Data Protection

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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Data Protection

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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Featured Tech / IT Operations

Zeta Architecture: Simplifying Business Processes

Expectations for data processing in the enterprise continue to grow from “good enough” to “we need more…and faster.” The Zeta Architecture is an enterprise architecture that enables simplified business processes and gives you a scalable way to quickly integrate data into your business.

In this paper, you’ll learn:

  • How to set goals with this new enterprise architectural approach
  • What the seven pluggable components of this new architecture are
  • Implementation examples
  • How to integrate your business applications into the Zeta architecture

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Software Design

Easy, Real-Time Access to Data with Apache Drill

Leveraging an SQL-on-Hadoop engine and BI tools gives the everyday user access to valuable data without relying on having in-depth knowledge of technical application programming interfaces. Apache Drill is a new project which makes SQL on modern data structures in Hadoop, NoSQL, and more easier than ever.

In this panel discussion, Matt Aslett from 451 Research with an end-user and the Apache Drill architect, will explore the major role SQL-on-Hadoop technologies play in organizations and cover real implementation stories. Watch this webcast to learn:

  • Key benefits and use cases for Apache Drill and other SQL approaches
  • Challenges in designing and delivering SQL-on-Hadoop
  • The future of Drill — an architect’s perspective on what’s next

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Featured Tech / Sales & Marketing

35 Tips for Marketing iPhone and Android mCommerce Apps

Apsalar, a leader in mobile app attribution and measurement, has developed these proven tips based upon comprehensive analysis of some of the most successful app businesses worldwide. Learn actionable ways to make every aspect of your app business stronger.

Includes:

  • 8 Suggestions for Better App Store Pages and Social Marketing
  • 5 Tips on How to Pick the Best Media Partners
  • 7 Great Ideas for Viral Distribution and Growing Word of Mouth

Get these and 15 more market–tested ideas on how to make your mcommerce app more successful. Download now and nail your KPIs.

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