logging in or signing up BIGDATA aSGuest141126 Download Post to : URL : Related Presentations : Let's Connect Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Copy embed code: Embed: Flash iPad Dynamic Copy Does not support media & animations Automatically changes to Flash or non-Flash embed WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 556 Category: Education License: Some Rights Reserved Like it (0) Dislike it (0) Added: August 05, 2012 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript BIGDATA Under the guidance of Mr. Jubilant J Kizhakkethottam HOD,Computer Science : BIGDATA Under the guidance of Mr . Jubilant J Kizhakkethottam HOD,Computer Science Cijo Robert S7 CSIntroduction: A simple definition: Any amount of data that's too big to be handled by one computer. IntroductionWhy Big Data is Came to surface now : Why Big Data is Came to surface nowBuilding a Big Data Platform : Acquire A cquisition of big data must deliver low and predictable latency in both capturing data and in executing short, simple queries be able to handle very high transaction volumes. Organize Big data must be able to process and manipulate data in the original storage location; support very high throughput (often in batch) to deal with large data processing steps; and handle a large variety of data formats, from unstructured to structured . Analyze It support deeper analytics such as statistical analysis on a wider variety of data types stored in diverse systems and must be able to integrate analysis on the combination of big data and traditional enterprise data. Building a Big Data PlatformSolution Spectrum : Solution SpectrumHadoop&HDFC: Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment . HDFS is a virtual file system that looks like any other file system except than when you move a file on HDFS, this file is split into many small files, each of those files is replicated and stored on 3 servers for fault tolerance constraints Hadoop&HDFCMap Reduce: "Map" step: The master node takes the input, divides it into smaller sub-problems, and distributes them to worker nodes. A worker node may do this again in turn, leading to a multi-level tree structure. The worker node processes the smaller problem, and passes the answer back to its master node. "Reduce" step: The master node then collects the answers to all the sub-problems and combines them in some way to form the output – the answer to the problem it was originally trying to solve Map ReducePowerPoint Presentation: Applications for Big Data Analytics Homeland Security Finance Smarter Healthcare Multi-channel sales Telecom Manufacturing Traffic Control Trading Analytics Fraud and Risk Log Analysis Search Quality Retail: Churn, NBOFuture of Big Data: $15 billion on software firms only specializing in data management and analytics. This industry on its own is worth more than $100 billion and growing at almost 10% a year which is roughly twice as fast as the software business as a whole. In February 2012, the open source analyst firm Wikibon released the first market forecast for Big Data , listing $5.1B revenue in 2012 with growth to $53.4B in 2017 The McKinsey Global Institute estimates that data volume is growing 40% per year, and will grow 44x between 2009 and 2020. Future of Big Data You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.