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Spark Technology CenterThe Best Thinking On Apache Spark™
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The Best Thinking On Apache Spark™
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Spark Technology Center | spark.tc Reviews
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The Best Thinking On Apache Spark™
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Bringing Apache Spark™ Closer to SIMD and GPU
http://www.spark.tc/simd-and-gpu
Bringing Apache Spark Closer to SIMD and GPU. By Gita Koblents, Kazuaki Ishizaki, Hiroshi Inoue. Accelerating the Apache Spark execution engine has always been a focus of the Spark development community. As a result, significant performance improvements were delivered in Spark 2.0. Compared with Spark 1.6. Most of the improvements were implemented as part of Project Tungsten. The goal of Project Tungsten is to push Spark performance closer to the hardware limits by introducing:. Implicit translation of a...
Data Science Hub & the Data Science Community: Philippe Van Impe
http://www.spark.tc/data-science-hub-the-data-science-community-philippe-van-impe
Data Science Hub and the Data Science Community: Philippe Van Impe. At the recent sold-out Spark and Machine Learning Meetup. In Brussels, Philippe Van Impe of the European Data Science Academy. Delivered a lightning talk called Data Science Hub and the Data Science Community. Philippe's talk gave an introduction to the activities of the Data Science Community. Data science meetups, data science bootcamps and trainings, and a data innovation summit. Their Youtube channel. You Might Also Enjoy. In the Uni...
Improvements to the SizeEstimator class in Apache™ Spark
http://www.spark.tc/improvements-to-the-sizeestimator-class
Improvements to the SizeEstimator class in Apache Spark. By Vijay Sundaresan, Adam Roberts, and Andrew Craik. What's the SizeEstimator class and why should I care? Inaccuracies in size estimation can lead to inefficiencies in executing the Spark workload:. Overestimation = excessive spilling to disk during computation. Underestimation = insufficient memory to execute application. How important is a good size estimator for performance? Great, so what are the changes? Specifically, we looked at these JIRAs:.
Projects
http://www.spark.tc/projects
See what the community is building with Apache Spark™. PixieDust: Easy access and visualizations for Jupyter notebooks in the cloud. PixieDust is an open-source Python helper library that works as. Apache Bahir provides extensions to distributed analytic platforms such as. Apache Toree acts as a middleman between an interactive application,. Apache SystemML provides declarative large-scale machine learning (ML) that aims. We started the EclairJS project to bridge the gap between. What if you could.
Advisory Council
http://www.spark.tc/advisory-council
The Spark Technology Center Advisory Council is a non-commercial forum designed to promote the widespread adoption of Apache Spark . The Council will share existing experiences, adding new insight from members, with the wider community to create dialogue and accelerate adoption. The Council will also provide feedback to the Spark Technology Center to help guide future enhancements for use cases. Spark Technology Center Github. Reference Architectures Committee Github. Join the Advisory Council.
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Resources | Apache Spark™ Makers Build by IBM | Devpost
https://apachespark.devpost.com/details/resources
This hackathon has ended. Challenges like this one. Typically, Bluemix services are available for free for 30 days. However, if you sign up as a participant in the Apache Spark Makers Build hackathon, you’ll have access to Bluemix services from now until November 1, 2016. Request your promo code here. Note: Bluemix use is not required for participation in this hackathon.). Ready to learn more about Spark? Check out the free Spark Fundamentals online class. The Basics and Getting Started. Remember, to be ...
Kippel – No one can win against kippel.
http://www.kippel.net/blog
No one can win against kippel. Web syndication: The most useful thing nobody uses. In Alan Moore’s seminal comicbook Watchmen, the retired superhero Ozymandias (considered the smartest man in the planet), now an extremely successful businessman, is seen watching a wall of television sets, each set to a different channel. He does this in order to absorb as much information as possible in a reduced amount of time. He uses that information and his intellect to help his businesses grow. Google Chrome plainly...
jhorwitz | @JSHorwitz
http://www.joelshorwitz.com/author/jhorwitz
Open Source, Data Science, Startups, and Life. Data Needs a Platform. At IBM, we have recognized this shift by declaring our strategic initiatives as cloud computing and cognitive solutions. At the center of this shift is data. Said another way, our clients are moving their business online and in doing so creating data exhaust that can be leveraged for machine learning to build data products like customer service chat bots. As the Analytics OS. Makes analytics consumable and the Data Science Experience.
Data Science | @JSHorwitz
http://www.joelshorwitz.com/category/data-science
Open Source, Data Science, Startups, and Life. Category Archives: Data Science. Few inventions in American history have had the massive impact of the IBM System/360 on technology, on the way the world works and on the organization that created them. Jim Collins, author of Good to Great, ranks the S/360 as one of the all-time top three business accomplishments, along with Ford’s Model T and Boeing’s first jetliner, the 707. Most significantly, the S/360 ushered in an era of computer compatibility. In 2000...
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Share, Collaborate and Innovate with StrongView Experts and Enthusiasts. Spark is a vibrant community for StrongView customers. That offers a dynamic environment to easily find answers to support questions and an opportunity to connect with other StrongView customers and in-house experts. It is part of StrongView’s continued efforts to ensure our customers’ success with our products and services. In Spark you can. With peers and colleagues. And announcements and create product enhancement ideas.
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Spark Technology Center
The Best Thinking On Apache Spark. Bringing Apache Spark Closer to SIMD and GPU. Improvements to the SizeEstimator class in Apache Spark. Exploring the Apache Spark DataSource API. Data Science Hub and the Data Science Community: Philippe Van Impe. See what the community is building with Apache Spark™. The Apache Software Foundation has no affiliation with and does not endorse or review the materials provided on this website, which is managed by IBM. Apache, Apache Spark™, and Spark™.
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Health Update August 2015. August 9, 2015. It’s been a while! Now, to be fair, he’d brought up the possibility of infection early on. Unfortunately, the testing is. Expensive. I’d popped in to see Dr. Angie and she used the Bio Meridian machine which pointed out several strains of bacteria including lyme. I took those results back to Dr. K who barely looked at them, stated that he wasn’t familiar with Bio Meridian, and filed them in my chart. I left his office full of dread at telling Ben that we’d...
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