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Tagged in 'big data'

Greenplum Can Now Do Hybrid Queries Across On-Premises & AWS S3 Data

Today, Pivotal is announcing the release of Pivotal Greenplum 4.3.8. It features the ability to run one analytical query and return results for data that sits across both on-premise data warehouses and clouds, starting with AWS S3. Now business intelligence, data science, or advanced analytical workloads can run in near-real-time across hybrid clouds, breaking down silos, and opening up a new world of possibilities.

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Business Intelligence Is Dead, Long Live Business Intelligence

Is BI dead? According to some industry pundits, it seems to at least be reincarnating. The original business drivers behind BI are becoming less relevant as software and data-driven companies continue to drive competitive differentiation. At our Strata + Hadoop World keynote this Wednesday, we will explain what holds the key to these competitive advantages and how business intelligence must deliver information in context so that it drives action.

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Build Newsletter: SXSW Showcases Technology’s Impact On Culture

In this week’s Build Newsletter, we focus on all of the innovations coming out of South by Southwest, one of the world’s biggest stages for showcasing software and its incredible ability to reshape our culture. Starting off with Obama’s keynote perspective on the importance of embracing technology, we highlight some of the incredible innovations showcased at the event including apps that will feed the hungry, voice-based interactions that allow people silenced by ALS to communicate, and how big data and advanced analytics are making new waves in government.

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Apply By 3/25 For Google Summer Of Code 2016 With Pivotal And The ASF

The Apache Software Foundation (ASF) is one of the open source organizations for the Google Summer of Code 2016 (GSoC 2016) program. As a sponsor of the ASF, Pivotal is keen on supporting students looking to work in the complex and growing field of big data by developing features across a number of ASF Incubating projects that power up our data products including Apache Geode (incubating), Apache HAWQ (incubating) and Apache MADlib (incubating). For students around the world, it also offers an opportunity to pair and learn from Pivotal’s data engineers, as well as earn $5500! Deadline to apply is Friday, March 25, 2016.

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Will Intelligent Machines Replace Or Complement Human Workers?

In this perspective piece, Pivotal's big data strategist, Jeff Kelly, covers the story of Landr. The company uses machine learning to master music tracks without a human touching them. Along with many other use cases, this raises the question, "Will machines replace or complement humans?" Kelly explores the topic and offers some key considerations and conclusions.

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Four Real World Use Cases For An In-Memory Data Grid

To celebrate Apache Geode’s 1.0 release last week, this article will examine ways in-memory data grids can be leveraged to transform your customers’ experience, your decision-making capabilities, and your bottom line. Specifically, we’ve highlighted four use cases demonstrating how some of our enterprise customers use in-memory data grids, like Apache Geode (incubating) and Pivotal GemFire, to support high-performance, real-time applications, without compromising speed or safety of valuable data.

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EMC Data Computing Appliance v3 For Pivotal Greenplum Now Available

EMC and Pivotal are thrilled to announce the EMC Data Computing Appliance (DCA) v3, the industry’s first and only DW appliance with the open source-based data warehouse software, Pivotal Greenplum. DCA v3 is an integrated analytics platform that comes loaded with Pivotal Greenplum - Pivotal’s commercial release based on the open source project Greenplum Database®, optimized to run on powerful EMC hardware. DCA v3 customers can now get the advanced functionality and analytics capabilities of the market’s leading open source data warehouse in an appliance form factor delivering unrivaled time-to-insight.

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You’re Thinking About Investing In Big Data? Consider These 5 Things

While many companies have taken on big data projects with success and others have faced challenges, there are some key questions to nail down before the project turns from an idea to proposal. In this post, data market strategist, Jeff Kelly poses 5 of the most important things you can ask yourself about leadership, skills gaps, change management, and more.

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This Month in Data Science: January 2016

As 2016 kicked off, we are seeing the formation of a different perspective on data science. While some people grew weary of the over-used terms in media or suspiciously viewed the terms as the new, sexy way to say analytics, we think a corner has been turned. This post rounds up the top stories we’ve seen in the past month and lays out the importance of data science from the perspective of organizations, finance, personalization, The World Economic Forum, and more.

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Build Newsletter: CES, Robots, Drones, Devices & Cars—Jan 2016

In this month’s BUILD Newsletter, we focus new platforms that are quickly advancing in 2016—namely robotics, drones, voice recognition, NFC, wearables, smart TVs, 3D cameras, and much more. Of course, we will also update you on related Pivotal tech projects.

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