In-Memory databases

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  • 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

  • Which relational DBMS is best for your company?

    Database expert Craig S. Mullins examines the top relational database management system software to determine which best fits your organization. Continue Reading

  • Inside SAP Simple Finance and the HANA technology that powers it

    In this chapter from 'SAP Simple Finance: An Introduction,' SAP provides an inside look at Simple Finance and how HANA technology helps the system remove redundantly stored data. Continue Reading

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Problem Solve In-Memory databases Issues

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  • Multi-vendor data center

    There are a number of ways for IT to ease the process of managing a multi-vendor data center. This e-book series examines the best practices for vetting vendors, integrating new technology into the data center and training personnel effectively on the right operating systems. These chapters will serve as a guide for the entire decision-making process Continue Reading

  • SAP HANA Marketplace offers experimental approach

    SAP's HANA Marketplace is growing rapidly, having caught the eye of customers and software developers. Startup and veteran companies are using the HANA Cloud Platform to create unique products. Continue Reading

  • The knock-down, drag-out battle for server-side flash

    Learn how PCIe-based server-side flash stacks up against emerging in-memory flash technology in this tip from Marc Staimer of Dragon Slayer Consulting. Continue Reading

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