Big Data 2011 Preview

Summary:

With enterprise data volumes growing, business and IT leaders face significant opportunities and challenges from big data. Using cloud-computing technologies, organizations are experimenting with distributed data stores, cloud compute capacity for data analytics, hosted data integration and even operational databases in the cloud. Hadoop/MapReduce, meanwhile, has moved past test and development stage to become a viable extension or alternative to traditional relational databases. Though the space is not without its obstacles, including plenty of privacy concerns, there are numerous sales-growth opportunities and new business models finally surfacing in 2011. Companies mentioned in this report include Google, IBM, Apple, Oracle, Salesforce and VMware. For a full list of companies, and to read the full report, sign up for a free trial.

  1. Table of Contents
  2. About Brett Sheppard
  3. About GigaOM Pro
  4. Executive Summary
  5. The 2011 NFL Playoffs and Super Bowl: “The Singularity is Near”
  6. When Does Data Become “Big Data?”
  7. Making Money from Big Data
  8. Evolution of Data Warehousing and Business Intelligence
  9. Rise of Open Source Options: Hadoop and More
  10. Big Data Visualization
  11. Social Media and Collaboration: Friending Your Big Data
  12. Data in the Cloud
  13. Big Data Limitations
  14. Key Takeaways
  15. Further Reading