Bigdata
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The document discusses the significance of big data analytics, highlighting that 2.5 quintillion bytes of data are generated daily and the challenges associated with managing such vast datasets. It outlines the three V's of big data—volume, variety, and velocity—and emphasizes its role in enhancing business insights and efficiencies. Additionally, it mentions market growth projections, best practices, benefits, and technologies related to big data implementation.
Bigdata
- 1. PRESENTER: ANURAJ ANAND “BIG DATA ANALYTICS”
- 2. STATISTICS AROUND WORLD FOR GROWING DATA #TRENDS
- 7. 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.
- 9. 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.
- 12. HOW DOES IT WORKS??
- 13. THREE VS OF “BIG DATA”..... 3 Vs of Big data Volume VarietyVelocity
- 14. DETAIL ON 3 VS..
- 15. 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.
- 16. 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
- 17. 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
- 18. IBM BIG DATA PLATFORM
- 19. ORACLE’S BIG DATA SOLUTION:
- 20. 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.
- 22. 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)
- 23. CUSTOMER SUCCESS STORY Vestas Wind Systems EI Corte Ingles(ECI) TRA MERKLE SYPHERLINK
- 24. 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.
- 25. BIG DATA DEPLOYMENT IN:
- 27. TECHNIQUES A/B testing Classification Cluster Analysis Data fusion Data integration Data mining
- 28. TECHNOLOGIES Cloud computing. Business intelligence Data mart. Data warehouse Distributed system Google File System. Hadoop. HBase. Metadata Relational database
- 29. CHALLENGES Data Variety Data Volume Analytical Workload Complexity Agility
- 30. 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 .