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Thread: Pivotal Software, Inc., data science, Palo Alto, San Francisco, California

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  2. #2

    The Pivotal Story

    Published on May 3, 2013

    Paul Maritz and Pivotal's executive team talk about our mission to create the world's best enterprise platform-as-a-service (PaaS).

  3. #3

    What You Can Do With Hadoop: Building Big Data Applications with Hadoop & Spring

    Published on Oct 18, 2013

    Building Big Data Applications with Hadoop & Spring

    At Pivotal we are bringing 2 open source projects together -- Hadoop and the very rapid and widely used Spring Java application development framework to help Big Data Applications.

    While Hadoop is proving to be the defacto foundation for storing and processing data, real-world scenarios require much more.

    Millions of developers are already using Spring to create high performing, easily testable, reusable code without any lock-in.

    Adding Spring into the Hadoop equation we take out the complexity of building big data applications.

    In this month's webinar we will explore how Spring XD (Xtreme Data) is addressing Big Data Application needs such as:

    High throughput distributed data ingestion into HDFS from a variety of input sources.
    Real-time analytics at ingestion time, e.g. gathering metrics and counting values.
    Hadoop workflow management via batch jobs.

    High throughput data export, e.g. from HDFS to a RDBMS or NoSQL database.
    This is a can't miss presentation for anyone wanting to understand design, configuration and deployment of Hadoop-powered applications.

  4. #4

    Top Data Science Trends for 2015

    Published on Dec 18, 2014

    With 2015 just around the corner, the Pivotal Data Science team has been challenged to point its predictive inclinations toward spotting emerging trends in Data Science. With a global team of 30, doing innovative work in almost every vertical market, Pivotal’s data scientists have a rich view into the underlying trends and shifts impacting their craft.

    In this webcast, leaders from the team – Annika Jimenez, Kaushik Das and Hulya Farinas – will share their insights on the key Data Science industry trends for the coming year. Every angle of Data Science is fair game:

    - New use cases at the vertical level
    - Analytical tool usage trends
    - Implications of the shift in focus to model operationalization
    - Meta observations about maturity of the craft
    - Ethics evolution in Data Science
    - Venture capital activity

  5. #5

    A New Approach to Big Data: Pivotal Strategy Update

    Published on Feb 17, 2015

    President and Head of Products, Scott Yara, and Head of Data Products, Sunny Madra talked about a new approach to big data and defined what it means to be data-driven in the new cloud era. Accompanying announcements in the areas of open source, big data and cloud, a number of customers spoke about Pivotal’s vision and how it supports their own enterprise transformations.

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