SOME MORE FACTS ON DATA AROUND. IBM estimates that every day 2.5 quintillion bytesof data are created. The Online users create content likeblog,posts,tweets,social networking site interactionsand photos. Servers continuously log messages about onlineusers are doing.
BIG DATA WHAT IS IT?? It’s a concept which means a datasets whichcontinues to grow so much that it becomes difficultto manage it using database management conceptsand tools. This difficulty can be related to datacapture, storage, search, sharing ,analytics andvirtualization etc.
WHY BIG DATA?? Big Data can help to gain insights and make betterdecisions. To Create unprecedented business advantage andbetter service delivery. Digital universe is 1.8 trillion gigabytes in size andstored in 500 quadrillion files.
CHARACTERISTICS OF BIG DATA Comprehensive Should offer a biggerplatform/address 3Vs Enterprise Ready should include the performance, security , usability and reliability. Integrated Should integrate data warehouses andbusiness intelligence applications. Open source based Low latency reads and updates. Robust /fault tolerant /Minimal maintenance
BIG DATA OFFERINGS Vendors Offering Big Data analytics solutionslike...... IBM InfoSphere BigInsights Oracle Big Data Platform Kognitio WX2 Analytics Platform ParAccel Analytics fuction SAND Analytics Platform
ADOPTION TRENDS IDC(International Data Corporation) forecast showsthat Big Data technology and services market isexpected to grow up to $16.9 billion in 2015. Itrepresents a compound annual growth rate (CAGR)of 40% or about 7 times that 0f the overallinformation and communication technology.
BIG DATA BEST PRACTICE Build understanding Of Big Data and Offerings maybe self study or involve an expert. Plan Optimal Security Risk Management POC(proof of Concepts)
TECHNIQUES A/B testing Classification Cluster Analysis Data fusion Data integration Data mining
TECHNOLOGIES Cloud computing. Business intelligence Data mart. Data warehouse Distributed system Google File System. Hadoop. HBase. Metadata Relational database
CHALLENGES Data Variety Data Volume Analytical Workload Complexity Agility
CONCLUSION There’s is ample need for company’s to maintainData where it is exploding like anything. It will transform all business into a well organizedcompany.This is a Future tool for DATA Handling andMaintenance .