Bigdata

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this presentation will let you know the in and out of bigdata growing trends... market potential , solutions provided by bigdata, advantages and disadvantages.

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Bigdata

  1. 1. PRESENTER:ANURAJ ANAND“BIG DATA ANALYTICS”
  2. 2. STATISTICS AROUND WORLD FORGROWING DATA #TRENDS
  3. 3. By: Anuraj Anand
  4. 4. 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.
  5. 5. CloudComputing
  6. 6. 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.
  7. 7. HOW DOES IT WORKS??
  8. 8. THREE VS OF “BIG DATA”.....3 Vs ofBigdataVolumeVarietyVelocity
  9. 9. DETAIL ON 3 VS..
  10. 10. 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.
  11. 11. 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
  12. 12. 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
  13. 13. IBM BIG DATA PLATFORM
  14. 14. ORACLE’S BIG DATA SOLUTION:
  15. 15. 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.
  16. 16. 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)
  17. 17. CUSTOMER SUCCESS STORY Vestas Wind Systems EI Corte Ingles(ECI) TRA MERKLE SYPHERLINK
  18. 18. BENEFITS OF BIG DATA Will bring more revenue to any firm which needsdata assistance. Will save more using Big Data Keep insights , tracks and let the firm grow.
  19. 19. BIG DATA DEPLOYMENT IN:
  20. 20. TECHNIQUES A/B testing Classification Cluster Analysis Data fusion Data integration Data mining
  21. 21. TECHNOLOGIES Cloud computing. Business intelligence Data mart. Data warehouse Distributed system Google File System. Hadoop. HBase. Metadata Relational database
  22. 22. CHALLENGES Data Variety Data Volume Analytical Workload Complexity Agility
  23. 23. 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 .

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