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  • Overcome problems during an AWS migration

    AWS migration can cause headaches for users when selecting computing resources or configuring a network. Put a plan in place to succeed. Continue Reading

  • Does big data analytics deliver value?

    Now that more companies have big data analytics programs, new trends -- and new challenges -- are emerging. Many programs have moved out of experimentation into real production, offering a timely opportunity to learn how companies are tapping into their most massive data sources. New research examines where and how big data analytics programs have been successfully deployed, as well as plans for the future.

    In this report, discover which business departments and processes are most commonly driving big data projects, and the data types these programs are prioritizing. Learn which technologies are now considered part of big data analytics programs. It’s not all about open source tools such as Hadoop. And find out how big data analytics capabilities are delivered across organizations and the greatest challenges these programs face. Continue Reading

  • How, where and why big data analytics are delivering value

    SearchBusinessAnalytics Benchmark Reports examine customer perceptions and adoption rates of technologies in established segments of the business intelligence (BI) market. Each Benchmark Report focuses on a specific area and surveys senior BI and IT professionals to understand the current market state for that segment of the BI market. Continue Reading

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  • Simple Finance helps Turk Telekom consolidate ERP

    Simple Finance is also the first step toward SAP S/4HANA for Turkish communications provider. Continue Reading

  • Sort through types of database management systems before you buy

    The database management system lies at the center of any organization's business activities. It houses the data that pumps life into operations and analytics applications and ensures that it's managed and manipulated securely. But the types of database management systems, or DBMSes, are numerous -- and organizations starting the evaluation process need to first examine the data they need to process, says data management consultant Craig S. Mullins in this special edition of Business Information. Is it traditional, structured data? Or is it a vast pool full of audio and video streams, social media data and other unstructured information?

    First, Mullins surveys the database product landscape, detailing the advantages of the types of database management systems on the market, breaking them into three main categories: relational database management systems, NoSQL databases and in-memory databases. Next Mullins takes a close look at relational systems. Any organization shopping for a database system should begin here, he says, because relational databases are good for a wide range of uses -- traditional data management and analytical applications, batch processing and more. Finally, Mullins explores the relatively new world of NoSQL database systems, known for their able handling of big data. NoSQL has its own types of database management systems, falling into four categories: key-value, document, column and graph. Each is suitable for particular uses, so companies may want to consider mixing and matching, depending on their data needs. Continue Reading

  • In a hybrid world, SAP support services face challenges

    The increase in mobile and cloud apps means companies are re-evaluating their approach to SAP support. Experts discuss current options, when to consider third-party support and how HANA affects support plans. Continue Reading

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