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March 10th, 2015 13:00

Ask the Expert, EMC Business Data Lake: Fully Engineered, Simple to Configure and Run at Scale

Welcome to the Ask the Expert conversation. On this occasion we will be covering the recently announced EMC Business Data Lake. Our experts from the EMC Big Data Solutions Management team are here to answer your questions around the architecture, supported configurations of Generation 1.0, and best practices.

 

Meet Your Subject Matter Experts:

 

profile-image-display.jspa?imageID=13149&size=350 Ted Bardasz

Sr. Director of Product Management for EMC's Big Data Solutions Team.

14 years prior to EMC at various start-ups, most recently at Digital Reef, a Big Data company delivering solutions for eDiscovery and Storage Management. Prior start-ups in grid/high performance computing, enterprise software, data quality, and CAD related companies. Some of the product that Ted has experience with are:

Big Data/Unstructured Content, Distributed Computing, Strategic Planning & Growth, Bringing Products to Market, Customer Acquisition and Relationships.

 

profile-image-display.jspa?imageID=13105&size=350

Product Manager, Big Data Solutions - EMC

Matthew joined EMC in 2012 as the product manager for VPLEX Virtual Edition. In June of 2014 he joined the Big Data Solutions team. He has a B.S. in Computer Science and Math from Franklin Pierce University and an M.S. in Artificial Intelligence from The University of Georgia. Matthew has a strong technical background in computer science and analytics such as machine learning, evolutionary algorithms, neural networks and computer vision. He's had a lot of exposure to storage and compute virtualization in his current and previous roles.

 

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5 Practitioner

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274.2K Posts

April 8th, 2015 11:00

Hi Alvaro,

This is a fantastic question! We are taking three approaches similar to your ‘tiering’. Since the Federation Business Data Lake is focused on driving business value, any data we store has to be readily available for analytics. The three tiers we support are Volume, Velocity and Variety.

A Volume Business Data Lake would use NL-series Isilon nodes, making it large capacity with enough performance to still run lower-priority analytics jobs.

Variety and Velocity would focus on the X-series Isilon nodes. This offers a great performance to cost balance. For those high-throughput jobs we are also adding an XtremIO to the Velocity Business Data Lake.

3 Posts

April 10th, 2015 09:00

Indeed

100 Posts

April 22nd, 2015 15:00

Agreed

100 Posts

April 23rd, 2015 10:00

Following!

April 24th, 2015 08:00

Too late for me

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