Beginning Wednesday, Join Us at the Pivotal Blog

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The Pivotal era kicks off this Wednesday April 24th, with Pivotal: A New Platform for a New Era, a live streaming event unveiling this exciting new company. Bringing together selected technology, people and programs from EMC and VMware, Pivotal will unite Greenplum’s products and services with those from Cloud Foundry, Spring, GemFire and other products from the VMware vFabric Suite, Cetas, and Pivotal Labs.

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Making Hadoop MapReduce Work with a Redis Cluster

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Redis is a very cool open-source key-value store that can add instant value to your Hadoop installation. Since keys can contain strings, hashes, lists, sets and sorted sets, Redis can be used as a front end to serve data out of Hadoop, caching your ‘hot’ pieces of data in-memory for fast access when they are needed again.

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Pivotal, A NEW PLATFORM FOR A NEW ERA

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Just as consumer-facing web giants such as Google and Facebook have done, enterprise companies increasingly need to store and analyze massive amounts of data cost-effectively, ingest huge numbers of events in real time, reason over the data, and react rapidly. To meet this need, Pivotal will host a live streaming event on April 24th with a special announcement and an unveiling of its plans to build a platform that makes the consumer grade enterprise a reality.

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Effective Data Visualization Techniques, from Business to Social Advocacy

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No matter how much data you amass, or how ingenious your models may be, your efforts are only as effective as how you communicate the insights revealed. Data visualization is not a new art, but one which has grown significantly more important in recent years, as organizations must respond to an increasing amount of data faster than ever.

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A Robot Gave Me My Job!

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“A robot took my job!” The familiar refrain gets at a long-running cultural anxiety that machines will render human workers redundant. “My father had worked for the same firm for twelve years,” begins a memorable gag from Woody Allen’s early standup career.

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Pivotal: All Systems Go

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Pivotal, the new company uniting EMC Greenplum’s decade of big data R & D, agile development trailblazers Pivotal Labs, and VMWare’s cloud services and app framework acumen, is ready to launch. In a letter to employees sent Monday, April 1st, CEO Paul Maritz announced Pivotal as “a new and exciting company with great promise,” and outlined the Pivotal vision.

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Chorus In Action at Data Science London

Logan Lee at Data Science London. Image via Data Science London (@ds_ldn)

Over the past few years, organizations like Data Science London have sprung up in major metropolitan cities all over the world. This is yet another sign of increasing momentum behind the data science community. It’s a community capable of transformative impact, one enabled by the dramatic improvements in technologies to effectively analyze and model massive data volume.

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eBay’s Beth Axelrod: Predictive Analytics is Transforming Human Resources

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The challenges of hiring skilled data scientists is well-documented, but what of Big Data’s impact on talent recruitment within other fields? According to Beth Axelrod, eBay’s Senior Vice President of Human Resources and the co-author of the new book The War for Talent, Human Resources is the latest department to be significantly disrupted within the data-driven enterprise.

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Paul Maritz Calls for a “Consumer-Grade Enterprise” Platform

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Over the past decade, consumer-facing web giants such as Google and Facebook have invested heavily in user data — storing it, analyzing it, and using the insights revealed to rapidly iterate on products. These companies recognized early that user data is a treasure trove, and devoted significant in-house resources to reap its value.

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Finding Problem Solvers Who Provide Big Answers: An Interview with Harper Reed

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Harper Reed, CTO for the Obama 2012 Presidential Campaign, delivered the keynote speech at EMC Greenplum’s Hadoop: The Foundation for Change event on Monday, February 25. Reed delivered what he called “A Big Data intervention,” urging the audience to move the conversation beyond Big Data, toward what he called “Big Answers.” He noted that technologists are “often bad at listening when it comes to data,” and said that practitioners “should be using these insights from data to do more listening.” He stated technologists must ask themselves, “‘How do we use targeting to have a conversation?’”

Running the most data-driven Presidential campaign to date presented unique challenges.

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