Hadoop Big Data Java – Manufacturing scenario

Hadoop | Tech and Tools   |   
Published September 13, 2013   |   
Alex Anikiev

Purpose: The purpose of this document is to explain how to apply the power of Hadoop Big Data platform in Manufacturing scenario.

Challenge: Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. Data growth challenges and opportunities are considered to be three-dimensional, i.e. increasing volume (amount of data), velocity (speed of data in and out), and variety (range of data types and sources). In Manufacturing space there’re number of scenarios where we can speak about Big Data. From Engineering Modeling perspective we can simulate every aspect of manufacturing process and get business insight when doing Demand Forecasting, Supply Chain Planning, Capacity Planning, Resource Scheduling, Inventory Optimization, OEE Optimization, etc.

Solution: Apache Hadoop is an open-source software framework that supports data-intensive distributed applications. Apache Hadoop platform consists of the Hadoop kernel, MapReduce and Hadoop Distributed File System (HDFS) and other components.

HDInsight is Microsoft’s Hadoop-based service that brings a 100% Apache Hadoop-based solution to the cloud. HDInsight gives you the ability to gain the full value of Big Data with a modern, cloud-based data platform that manages data of any type, whether structured or unstructured, and of any size. With HDInsight you can seamlessly store and process data of all types through Microsoft’s modern data platform that provides simplicity, ease of management, and an open Enterprise-ready Hadoop service all running in the cloud. You can analyze your Hadoop data directly in Excel using new capabilities like Power Pivot and Power View.

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