Archive for the ‘Data Science’ Category

Lifting Healthcare Out Of Its Digital Malaise

David Dimond

David Dimond

Chief Technology Officer and Distinguished Engineer, Global Healthcare at Dell EMC
David Dimond

Latest posts by David Dimond (see all)

The power of data in healthcare is nothing new. In 1846, a Hungarian doctor named Ignaz Semmelweis collected data to uncover why so many women in maternity wards were dying from childbed fever. After several outlandish theories, he discovered that medical students were transferring cadaverous particles from autopsies and thus one of the first infection-control hand-washing protocols was born. As a result, the rate of childbed fever fell dramatically. By using data to reach his conclusion, Dr. Semmelweis was a data scientist before his time.
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Where Are the Big Data Experts?

Alok Shrivastava

Alok Shrivastava

Senior Director, Education Services at EMC
Alok is the Senior Director of EMC Education Services, where he architects EMC education initiatives, including the industry-leading EMC Proven Professional program, EMC’s Academic Alliance, and “Information Storage and Management” one of the leading textbooks on storage technologies. He provides vision and leadership to a team of highly talented experts that develops world-class technical education on cloud, big data, and storage technologies. Previously, he built and led a highly successful team of EMC presales engineers in Asia Pacific/Japan and also served as a Systems Manager, Storage Manager, and a backup/restore/disaster recovery consultant working with some of the world’s largest data centers and IT installations. He holds dual Masters degrees from the Indian Institute of Technology and the University of Sagar.
Alok Shrivastava
Alok Shrivastava

Latest posts by Alok Shrivastava (see all)

Big data analytics enable the most important business asset: information. Every business regardless of industry must plan to create a big data analytics function. It takes data-based decision making to a whole new level, helping drive efficiency, quality, and growth. Technology, platforms, and tools are evolving very rapidly, revealing a bigger issue: finding expertise and talent. (more…)

What’s Driving the Data Lake?

Bill Schmarzo

Bill Schmarzo

Chief Technology Officer, Global Services Big Data Practice

EMC’s Federation Business Data Lake (FBDL) announcement has been a long time in the making.  It’s been a perfect storm of industry trends that enable big data and make data lakes a feasible data architecture option.  These trends include:

Data Growth – Web applications, social media, mobile apps, sensors, scanners, wearable computing and the Internet of Things are all generating an avalanche of new, more granular data about customers, channels, products and operations that can now be captured, integrated, mined and acted upon.

Cheap Storage – The cost of storage is plummeting, which enables organizations to think differently about data. Leading organizations are transitioning from viewing data as a cost to be minimized to valuing it as an asset to be hoarded. Even if they don’t yet know how they will use that data, they are transitioning to a “data abundance” mentality.

Limitless Computing – The ability to bring to bear an almost limitless amount of computing power to any business problem allows organizations to process, enrich and analyze this growing wealth of data, uncovering actionable insights about their customers and their business operations. (more…)

Business Intelligence Analyst or Data Scientist? What’s the Difference?

Bill Schmarzo

Bill Schmarzo

Chief Technology Officer, Global Services Big Data Practice

Business AnalystI am a huge Thomas Davenport fan. His book “Competing on Analytics: The New Science of Winning” was the first book to make organizations aware of the business potential of analytics, even prior to the craziness brought on by Big Data. I happened upon a recent article of his titled “Looking Outward with Big Data: A Q&A with Tom Davenport” and one item from that article really jumped out at me:

“Initially, I didn’t see much of a distinction [between business analytics and big data], and I thought that I could kind of rest on my laurels and not write a book about big data—because the fact is that the analytical tools and approaches used are not all that different for big data. But when I started talking to companies and data scientists, I realized that there really were some fairly substantial differences—some that have yet to be fully articulated and some that are already in evidence.”

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