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Spark Summit 2013

On the eve of the very first Spark Summit, there is a lot to be excited about. The past few months have been quite eventful for the Spark community – The Apache Software Foundation accepted Spark as an...

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ClearStory and Databricks at the Spark Summit

To follow up on the success of the Spark Summit in San Francisco this past week, I wanted to share a great conversation I had with Reynold Xin who is one of the co-founders of Databricks and the main...

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On the Meaning of Spark 1.0

The Spark 1.0 release marks some significant changes, and it is worth taking some time to consider just what this release means for users and developers of Spark and what they can now expect from the...

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ClearStory + Spark = Data Exploration Freedom

The release of Spark 1.0 marks a significant step in the move away from MapReduce based big data processing. In-memory. Distributed. Scale out. Machine Learning. 100X faster – on initial benchmarks and...

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It’s the End of the (Analytics and BI) World as We Know It

“That’s great, it starts with an earthquake, birds and snakes, an aeroplane, and Lenny Bruce is not afraid.” –REM, “It’s the End of the World as We Know It (and I Feel Fine)” REM’s famous “It’s the End...

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Ending the Era of “Look But Don’t Touch”: Introducing Interactive,...

We’re very excited to be at the Strata Conference + Hadoop World in New York City this week. Last year we chose this conference to announce our Data Intelligence platform to the world. This year we are...

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The 2+2=5 Principle and the Perils of Analytics in a Vacuum

Strategic decision making in enterprises playing in a competitive field requires collaborative information seeking (CIS). Complex situations require analysis that spans multiple sessions with multiple...

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ClearStory Data and Hortonworks: Enabling Fast-Cycle, Business-Ready...

We are excited to be working with and announcing ClearStory Data’s integration with Hortonworks Data Platform (HDP) during Strata + Hadoop World 2015. This partnership with Hortonworks is significant...

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A Little Spark to Wildfire

Open Source Project Birthed at U.C. Berkeley Takes Off in the Enterprise This week the fast-growing Apache Spark community is gathering in New York City to celebrate and collaborate on one of the most...

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Spark Speeds Towards the Next Data Processing Revolution

A mighty flame followeth a tiny spark. — Dante Alighieri If you know anything about Apache Spark, you know that its chief claim to fame is speed. With in-memory processing, Spark promises ten- or...

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