| | February 20179CIOReviewperformance. You can save money by moving cold data off to Hadoop freeing up capacity and lowering licensing costs. In fact, cold data in Hadoop can be mined for additional business insights when combined with other data not available in the EDWsystem, e.g. analyzing cold data with external system logs, social media, security data, etc. Optimizing your EDW with Hadoop offers CIOs cost reductions, improved reporting, and support for more types of unstructured data. The Internet of Things has opened doors for CIOs to be able to take real-time actions using streaming analytics. With Hortonworks Data Flow or IBM Streams as two examples, you can add and adjust data sources as needed to your Hadoop cluster, trace and audit a data path, and dynamically adjust data pipelines with your available bandwidth. The key is to Explore, Optimize, and Transform. Explore your data: payment tracking, pricing, consumer feedback, shrinkage analysis, customer behavior, etc. Optimize your supply chain, customer support, inventory control, vendor score cards, and more. Transform your business: automate inventory predictions, proactive staffing, improve target offers, and enhance various other business process using predictive analytics. Security analytics and threat detection is a growing use case for Hadoop. Using machine learning algorithms and data analytics on Netflow streams, log streams, packet streams, and stored data, companies can identify complex threat vectors and proactively remediate attacks. From fraud detection to data theft, Hadoop offers the perfect platform to process a full stack of telemetry data, enable advance correlation, and provide a single view into advance threats. Check out the Apache Metron Project for further insights. Some interesting commercial security solutions to look at are Niara (recently acquired by HPE) and Securonix.Interesting Applications on the Hadoop FrameworkI'm glad to report that many CIOs are now seeing the fruits of their labor with Hadoop. As pilot projects moved into production and new business insights are being observed, it has become much easier for CIOs to land and expand Hadoop into other parts of the organization, i.e. it's no longer a science project but a real world business solution. I would like to close by mentioning some cool Hadoop products I've recently worked with that may be of interest to the readers:1. Pivotal HDB: Fast Native Hadoop SQL Database with integrated machine learning.2. Syncsort: Great data integration tool for Hadoop. Supports Mainframe Integration.3. Galera Cluster: HA Solution for MySQL. MySQL stores Hadoop metadata for Hive, Oozie, Ranger, Ambari. With Hortonworks Data Flow or IBM Streams as two examples, you can add and adjust data sources as needed to your Hadoop cluster
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