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  • Improve querying with Redshift, MySQL database replication options

    Database replication can speed query performance. But to get it right, developers must understand all the components involved with Amazon Redshift and MySQL. Continue Reading

  • Build an application migration plan to stay on course for cloud

    When moving apps to the cloud, you can't just throw them up there and hope they stick. Form a strong migration strategy to make sure your apps perform well and are cost-effective. Continue Reading

  • Server-side flash technology lifts solid-state adoption

    Server-side solid-state storage is more ubiquitous than ever due to growing capacities and rapidly dropping flash technology prices. There are a many ways to install flash technology in a server, though there are decisions to make before you buy. We examine flash technology form factors, interfaces, protocols and capacities, as well as use cases, advantages and limitations.

    Disk-based backups revolutionized data protection. While far more expensive to deploy and maintain than tape, a growing list of vendors are consolidating backup with other secondary storage requirements into appliances that make disk-based backup more cost-effective.

    Although tape may no longer be the storage medium of choice for backup and disaster recovery, it still has a solid place in enterprises as an archive tier and as a transportation and sharing format for certain industries. In this issue of Storage magazine, we explore the state of the art of tape and its potential use cases today.

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  • In AWS encryption, a little paranoia goes a long way

    IT teams must take a layered approach to AWS security, and encryption is no different. Each Amazon service has different security characteristics, requiring the right security tool. Continue Reading

  • Spark processing engine gains energy, users

    A fire is catching in the world of big data processing. Since it was first introduced by The Apache Software Foundation a few years ago, the Spark processing engine has been moving throughout the big data ecosystem, latching onto users ripe for change the way a wildfire takes to some vegetation better than others.

    A major appeal of Spark -- which is often paired with the Hadoop framework -- is its speed, especially compared to MapReduce, another Hadoop partner. Of course, the processing engine's youth also means it has areas in need of improvement. Some users struggle to stay on top of Spark updates because the other tools they pair it with don't have the latest version. But the benefits of Spark outweigh the inefficiencies for many users. "It's a stable [technology], and I have no hesitation at all about deploying it," said Peter Crossley, director of product architecture and technology at Webtrends Inc., one of the many users profiled in this e-book chapter written by Executive Editor Craig Stedman.

    Webtrends was an early adopter of Spark and recently expanded the processing engine's role in its big data operations. Other users, like cloud software vendor Xactly Corp., are newer to the technology but are already seeing its benefits. One thing is for sure: Spark has caught the attention of companies that want to process information fast.

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  • Colony Brands' cloud-first strategy starts with data warehouse

    Steve Cretney, CIO at Colony Brands, discusses how Amazon S3 and Redshift have played an important role in the company's cloud-first strategy in this SearchCIO video interview. Continue Reading

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