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Big data ppt
Big data ppt
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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.

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 FOR GROWING DATA #TRENDS
  3. 3. By: Anuraj Anand
  4. 4. SOME MORE FACTS ON DATA AROUND.  IBM estimates that every day 2.5 quintillion bytes of data are created.  The Online users create content like blog,posts,tweets,social networking site interactions and photos.  Servers continuously log messages about online users are doing.
  5. 5. Cloud Computing
  6. 6. BIG DATA WHAT IS IT??  It’s a concept which means a datasets which continues to grow so much that it becomes difficult to manage it using database management concepts and tools.  This difficulty can be related to data capture, storage, search, sharing ,analytics and virtualization etc.
  7. 7. HOW DOES IT WORKS??
  8. 8. THREE VS OF “BIG DATA”..... 3 Vs of Big data Volume VarietyVelocity
  9. 9. DETAIL ON 3 VS..
  10. 10. WHY BIG DATA??  Big Data can help to gain insights and make better decisions.  To Create unprecedented business advantage and better service delivery.  Digital universe is 1.8 trillion gigabytes in size and stored in 500 quadrillion files.
  11. 11. CHARACTERISTICS OF BIG DATA  Comprehensive  Should offer a bigger platform/address 3Vs  Enterprise Ready should include the performance , security , usability and reliability.  Integrated Should integrate data warehouses and business 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 solutions like......  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 shows that Big Data technology and services market is expected to grow up to $16.9 billion in 2015. It represents a compound annual growth rate (CAGR) of 40% or about 7 times that 0f the overall information and communication technology.
  16. 16. BIG DATA BEST PRACTICE  Build understanding Of Big Data and Offerings may be 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 needs data 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 maintain Data where it is exploding like anything.  It will transform all business into a well organized company. This is a Future tool for DATA Handling and Maintenance .

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