Big Data Blog

Bloggers

Cédric CarboneBertrand DiardJean Michel FrancoYves de MontcheuilGavin TargonskiMike Tuchen

A Short Summary of Talend Big Data, Live from the Pacific Northwest BI Summit

July 29, 2014 - 11:05 - Yves de Montcheuil

Few vendors are invited by Scott Humphrey to this annual gathering of data gurus – and for the past six years, I have had the privilege to represent Talend.  As posts from previous years attest, this is an event rich in discussions and brainstorming. This is also a unique event where we get the opportunity to sit down with analysts for fireside discussions (except that there is no need for a fire in Oregon in July).

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#BigDataWithTalend: Discover Supplements ETL with Big Data

July 29, 2014 - 00:11 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this short sequence, Alex Marshall of Discover Financial Services provides insight on reducing costs with the help of big data.

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#BigDataWithTalend: Leveraging Telematics Data in the Insurance Industry

July 28, 2014 - 05:09 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this interview, Sean Creagan provides insight on big data and its business value for his insurance company.

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The Five Facets of Product Data (MDM Summer Series Part 1)

July 28, 2014 - 03:57 - Jean-Michel Franco

In this “summer series” of posts dedicated to Master Data Management for Product Data, we go across what we identified as the five most frequent use cases of MDM for product data: MDM for Material Data, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management and MDM for “Anything”.

In their market definition of Master Data Management, Gartner chose to segment the market into two main subdomains: while MDM for Customer Data deals with “party” data, such as customers, members, citizens, patients, employees, or vendors, MDM for Product Data focuses on the “management of the domain relating to products and other things”, then further defined as “finished products, parts, material, assets, services and financial instruments”.

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#BigDataWithTalend: Working with Talend for Big Data

July 25, 2014 - 14:04 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this short sequence, Hadoop Summit attendee Navaid Khan provides insight on using Talend to work with big data.

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#BigDataWithTalend: ETL in Healthcare with Big Data

July 24, 2014 - 23:00 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this short sequence, Andrew Hoblitzell from Wellpoint provides insight on using ETL to get started with big data.

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#BigDataWithTalend: Getting Big Data in the Hands of Users

July 24, 2014 - 06:10 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this short interview, Blair Krotenko from Jabil Circuits provides insight on big data strategy.

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#BigDataWithTalend: Cisco Uses Big Data to Repair Networks

July 23, 2014 - 00:12 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this short sequence, Chris Embree of Cisco provides insight on using big data analytics for the analysis of large volumes of network traffic data.

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#BigDataWithTalend: Greater Insight on Customers through Big Data

July 22, 2014 - 04:44 - Yves de Montcheuil

We asked Hadoop Summit attendees to share their big data story.

In this interview, Gordon Heinrich, Senior Director of Business Intelligence at Sandlot Solutions provides insight on big data benefits.

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Tell Talend Your Very Own Big Data Story (and Win a Prize)

July 8, 2014 - 01:55 - Yves de Montcheuil

At the recent Hadoop Summit in San Jose, California, visitors to the Talend booth were given the opportunity to tell their big data story, through a short video. Over 20 participants were interviewed including attendees from Wellcentive, Vindicia, Cisco Systems and Time Warner Cable. They shared their big data experience, their vision and expectations.

The use of Big Data in these organizations is continually expanding with more and more use cases and challenges, and the expectations from big data technologies are huge. No matter the industry, the type of data or the usage scenario, organizations are embracing big data to get the maximum value from this ever-increasing volume of data.

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