IBM PureData for Hadoop: how can this system help me?

Today in companies, information is built and stored, as a rule, in several ways and on several platforms. The data exists in an unstructured, non-optimized form, which does not allow to extract from them the information necessary for making strategic decisions. The role of Big Data in this scenario is to be able to collect such information from various input data, structure it and provide data for use in the analysis, in decision making and when working with predictive analytics tools. The latest of IBM PureSystems combines the concept of Big Data and the Apache Hadoop solution, based on exactly these tasks.



Apache Hadoop library performs distributed processing of large data sets. To do this, use simple programming model for Hadoop. The main purpose of Hadoop is to provide management of data processing processes on multiple servers and their synchronization, but only at the expense of software, removing control at the cluster, hardware level.



IBM PureData for Hadoop has been designed with this approach in terms of hardware and software prepared for the cloud architecture. All the advantages and features of Hadoop are combined with the support and simple administration that PureData can offer.



To ensure the integration of Hadoop and this system, IBM InfoSphere BigInsights and IBM System x servers were combined; Thus, the software for processing large data sets is integrated in a simple administrative complex, and updates are made by IBM for the entire computing complex. You do not need to contact any third-party hardware support services and Hadoop software.

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If you need to build a high-availability environment that is integrated and optimized for performance, then taking a free version of Hadoop, you will encounter many difficulties. The PureData for Hadoop system already has all this functionality, it is also fully integrated with other PureSystems hardware solutions that you may already be using. These are important points to consider when choosing between a paid and free solution. There were many examples of implementation where complex open source tools were used, requiring tremendous skills to write their own additional software to achieve the required functionality. As a result, when developers switched to other projects or to other companies, problems arose. It may seem that an offer like PureData for Hadoop is an alternative to an expensive one, but in the long run you can save time and money on upgrades, support and integration with existing systems.



Source: PureSystems blog .