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Overcome security concerns when moving big data to the cloud

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How to take advantage of your cloud and data center for workloads

According to Rackspace Technology, organizations are running applications on a relatively even split between public cloud (35%), private cloud (33%) and data centers (30%).

With a cloud managed service provider, your business can gain the flexibility of choosing the right model for each workload and application, while also taking advantage of:

  • Advanced automation with elastic scalability and simplified management
  • Containerized DevOps experience
  • Consumption-based pricing and rapid deployments

Access this eBook to explore how a managed cloud service provider can help bring you the best of both cloud and on-prem.

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  • Discover the benefits of database modernization on AWS

    Even with organizations digitizing by the second, many businesses still rely on outdated, on-premises databases.

    When you tack on the rising costs of managing and maintaining physical infrastructure, it becomes clear that these companies are missing out on great opportunities to increase scalability and flexibility.

    When organizations migrate their data to the cloud, they begin embracing the valuable possibilities of cloud databases and modern data architectures.

    Download this e-book today to learn how database modernization on AWS can deliver benefits including:

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  • Riding the elephant: how to manage big data

    Among all the talk in recent years about what big data is, and what organisations could do with it, there has been a bit missing about how to manage big data programmes and projects, which is a prerequisite of gaining business value from the analytics done on the data.

    Big data vendors – such as the Hadoop distributors – will say they see signs that big data science projects are giving way to large scale implementations. But how are user organisations managing those? How are they designing their IT organisations, and the rest, to manage and capitalise on big data?

    The lead article in this e-guide is focused on the management of big data. You can also read about the progress of open source parallel processing framework Apache Spark as, in part, a replacement for the MapReduce framework that was so important to an earlier generation of the Hadoop family of technologies; Spark also goes beyond the Hadoop Distributed File System [HDFS] to encompass relational and non-relational databases.

    You can also hear about how Hadoop is starting to appear in earnest in the UK public sector, and how another stripe of big data technology, NoSQL databases, is making its mark for specific use cases.

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