Big Data Use Cases

music-baner

Music + Big Data = Music Science

Music and statistics have gone hand in hand since the beginning of radio. But lately digitization, the decline of analog devices and the rise of analytics have dramatically changed the industry, creating an entirely new field called Music Science. What is this new paradigm, how it came to be and what are the implications for other industries? Continue Reading

Datameer-Webinar

Webinar: “A Business User’s Guide to Big Data on Hadoop” (September 23rd)

On the 23rd of September, Ioana Hreninciuc and Andrew J Brust will host the “Business User’s Guide to Big Data on Hadoop” webinar.

The talk will be centered around this topics:

  • – IT or business user – who benefits more from deploying Hadoop?
  • – Who could or should bring Hadoop into the organization?
  • – Is Hadoop really necessary? What are the organization’s alternatives?
  • – How can you leverage an existing Hadoop deployment from your organization?
  • – What should a business user know about Hadoop?
  • – How long does it take to get started with Hadoop?
  • – Is Hadoop as a Service a reasonable alternative for your organization?
  • – What are the PROs and CONs of Hadoop as a Service?

Ioana-hreninciuc

About Ioana Hreninciuc, Commercial Director, Bigstep

Ioana is the Commercial Director of Bigstep, in charge with setting the right strategy for operations and clients.

 

 

Andrew-Bust

About Andrew Brust, Sr. Director, Technical Product Marketing & Evangelism, Datameer

Andrew is Senior Director, Technical Product Marketing and Evangelism at Datameer and writes a blog for ZDNet called “Big on Data.”

Join us and learn more about how Hadoop can help your business on September 23rd. If you don’t have an O’Reilly account yet, just sign in or create a new account here.

 

Big Data (15)

Can Big Data Take the Guesswork Out of Identifying Successful Startups?

For every ten businesses started, nine will fail. The failure rate fluctuates by industry, with nearly 60 percent of real estate businesses hanging on for at least four years, compared to less than 40 percent of IT businesses. Reasons vary from an inability to price products properly to a failure to properly pay taxes. What if we could predict which startups would succeed and which would fail? As it turns out, big data may be able to do exactly that. Continue Reading