InfoQ Homepage Apache Spark Content on InfoQ
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Apache Spark 2.0 Technical Preview
Two years after the first release of Apache Spark, Databricks announced the technical preview of Apache Spark 2.0 , based on upstream branch 2.0.0-preview. The preview is not ready for production, neither in terms of stability nor API, but is a release intended to gather feedback from the community ahead of the general availability of the release.
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Databricks Integrates Spark and TensorFlow for Deep Learning
Since announcements late last year about Google open-sourcing TensorFlow, the company’s open-source library for machine learning, and previous coverage at InfoQ, the data-science community has had an opportunity to try out TensorFlow for their own projects.
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Yahoo! Benchmarks Apache Flink, Spark and Storm
Yahoo! has benchmarked three of the main stream processing frameworks: Apache Flink, Spark and Storm.
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IBM Commits to Advance Apache Spark
Earlier last month in Las Vegas, at IBM Insight 2015, IBM announced a major commitment to the Apache Spark project. Referring to it as “potentially the most significant open source project of the next decade” tells a lot about how important IBM believes Apache Spark is. With IDC reporting that 80% of cloud applications in the future will be data intensive, Apache Spark can unlock previously...
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QCon SF 2015 Update: Workshops at a glance (Nov 19-20)
At QCon San Francisco, we offer two days of workshops (Nov 19-20). Workshops focus on developing the technical skills that leverage technologies you heard about from our expert practitioners during the conference sessions. Here is a glimpse at some of the experts you can learn from QCon SF ‘15 workshops.
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Basho Data Platform Supports In-Memory Analytics, Caching, Search and Integration with NoSQL
Basho Data Platform supports integration with NoSQL databases like Redis, in-memory analytics, caching, and search. Basho Technologies, the company behind Riak NoSQL database, announced in May, the availability of the data platform that can be used to deploy and manage Big Data, IoT and hybrid cloud applications.
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Adatao Launches Full Stack Data Intelligence Platform
Adatao recently announced the general availability of its Data Intelligence platform. Its platform aims to make data analysis and predictive analytics available to everyone in large organizations. Adatao had secured an investment of $13 million last year from a group of investors including Bloomberg Beta, Lightspeed Venture Partners and Andreessen Horowitz.
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Real-time Data Analytics at Pinterest using MemSQL and Spark Streaming
Pinterest, the company behind the visual bookmarking tool that helps you discover and save creative ideas, is using real-time data analytics for data-driven decision making purposes. It’s experimenting with MemSQL and Spark technologies for real-time user engagement across the globe.
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Apache Spark 1.3 Released, Data Frames, Spark SQL, and MLlib Improvements
Apache Spark has released version 1.3 of their project. The main improvements are the addition of the DataFrames API, better maturity of the Spark SQL, as well as a number of new methods added to the machine learning library MLlib, and better integration of Spark Streaming with Apache Kafka.