TDWI BI This Week Analysis and News TDWI

Wednesday, May 15, 2013

News Highlights

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Inside Facebook's Relational Platform

Stephen Swoyer

At TDWI's World Conference in Chicago, Ken Rudin, director of analytics for Facebook, surprised many attendees when he revealed that Facebook has built itself a conventional data warehouse.

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Outsourcing BI: Why You Need to Know Your Competitive Basis

Mike Atwood

Industries are inspired by competition. This is advantageous for organizations relying on outsourcing, with a plethora of vendors vying to provide that harmonious service you are looking for. Then again, do you need to outsource everything? Mike Atwood from Booz & Company looks at why competition has taken on a whole new meaning.

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MapReduce, Parallel Processing, and Pipelining: A Tech Primer

Stephen Swoyer

Over the last five years, many DBMS vendors have introduced native or in-database implementations of MapReduce, a popular parallel programming model for distributed computing. One key difference is that MapReduce in the data management world tends to speak a very different programming language. There are plenty of other differences, too.

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Starting the BPM Process: 10 Best Practices

Mac McConnell

A 10-point guide to getting started with business process management.

TDWI Webinar Series:

The Doctor is In: The Role of the Data Scientist for Analyzing Big Data

Speaker: David Stodder

May
21
9:00AM PT
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No profession is getting more attention these days than that of the "data scientist." Data scientists have made the covers of business magazines and are practically rock stars at online companies such as Google, Facebook, and LinkedIn.

Upcoming Webinars of Interest

Managing the Mayhem of Mobile BI

Apple defined a new category of computing with the release of the Apple iPad. It also reinvigorated the BI market with visually attractive dashboards on every tablet. Mobile BI promises to make BI more immediate and accessible for executives and field workers alike.

Speaker: Cindi Howson

May
23
9:00AM PT

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Do You Need to Be a Data Scientist to Analyze Text?

Part of the discussion and debate recently about big data, big data analytics, and the role of the data scientist revolves around the skills required to be a data scientist, who is supposed to possess statistical or quantitative model-building skills, computer science skills to deal with new and diverse technologies, business savvy and acumen, and subject matter expertise.

Speaker: Fern Halper

May
29
9:00AM PT

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Events Calendar

June 17-19, 2013

TDWI BI Symposium: Building an Analytics-Driven Organization

Toronto, ON

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August 12-15, 2013

TDWI Seminar Series: BI Essentials

New York, NY

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August 18-23, 2013

TDWI World Conference: Agile BI

San Diego, CA

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