In part one of this blog series, Pivotal’s Gautam Muralidhar and Srivatsan Ramanujam introduced the task of edge detection, an important problem in developing computer vision algorithms. In the previous post, they demonstrated that a sample native application can be seamlessly integrated and scaled up for data parallel problems on HAWQ, Pivotal's SQL-on-Hadoop solution. In this second part of the series, Muralidhar and Ramanujam demonstrate how the same task can be achieved via the PL/C user defined function.
Deep learning has become a more popular approach to machine learning that has shown to provide significant improvements versus the manual design of features. In this post, a group of Pivotal Data Scientists explain how deep learning works and then cover how it can be implemented on Pivotal’s distributed computing platform.
“Build” is the monthly newsletter from Pivotal that provides a snapshot of the most relevant news and trends for architects and developers. This inaugural post covers containers, mobile development, app design, data, and scale. From Docker on Cloud Foundry to Mobile Retargeting to Cloud Economics, Pivotal has summarized the most important news in one spot for people creating apps at scale to stay on top of the rapidly changing technology market.
One of the challenges organizations face while adopting big data platforms is seamlessly integrating legacy applications. Fear of having to redesign and reengineer existing applications built over years leads to resistance towards adopting big data platforms such as MPP databases and Hadoop within some organizations. In this two-part blog post, we’ll demonstrate how a sample native application can be seamlessly integrated and scaled up for data parallel problems on HAWQ, Pivotal's SQL-on-Hadoop solution.
Learn how one university is using data science to understand students and identify the factors leading to student success and retention by analyzing structured and unstructured data. In this post, one of Pivotal's Senior Data Scientists explains the background, approach, solution, models, and outcomes of a recent project.
In this two-part series, one of Pivotal’s Senior Data Scientists provides an overview of how to achieve part-of-speech tagging on tweets at scale. In this second part of the series, using code examples, we dive deeper into PL/Java UDFs and write a wrapper on ArkTweetNLP to perform POS tagging at scale with Pivotal’s MPP data platform.
Mobile application development is hitting a tipping point in 2015, and most companies are planning on stepping up their development investment in the area by at least 36% next year. But spending more on mobile app development isn’t enough—the approach must be smarter. Teams tasked with building or evolving a company’s mobile app strategy should heed tips and best practices like those in Pivotal's infographic, covered in this post along with the top three ways to up your mobile game.
Many organisations are moving to a model of Continuous Deployment for their applications. This means that they want to deploy regular changes to production applications without affecting users. Getting new features into the hands of your customers sounds great, but it can be a little trickier than it looks. In this episode, we will dive more deeply into the concept of Blue/Green deployments, and the mechanism used by Pivotal CF to deploy changes into production with zero downtime and no packets dropped!
In this post, one of our Lean experts, Janice Fraser, covers two of her most valuable insights from teaching senior managers at the White House. Heading into her workshop at the Lean Startup Conference next week, the insights provide some useful lessons in applying lean principles—acting on what we learned and changing behavior.