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Dr. Elephant Steps Up to Cure Hadoop Cluster Pains
Getting jobs to run on Hadoop is one thing, but getting them to run well is something else entirely. With a nod to the pain that parallelism and big data diversity brings, LinkedIn unveiled a new release of Dr. Elephant Read more…
Kafka Gets Server, API Upgrades
The latest feature release from the Apache Kafka stream processing community includes server support for time-based search along with more than 200 bug fixes and other improvements. Confluent Inc., founded by the team Read more…
U.S. Visa Program Would Scan Social Media Data
Data industry groups are cautioning the government to take a middle course on a proposal to collect social media data about foreign travelers entering the U.S. under a visa waiver program. At issue is whether visitors Read more…
Concord Claims 10x Performance Edge on Spark Streaming
Organizations that are looking for a stream processing engine upon which to build fast data applications featuring high-throughput and low-latency may want to check out Concord, a new framework that emerged from the ad-t Read more…
LinkedIn Adds to Growing List of ML Tools
LinkedIn is releasing to the open source community its machine-learning tool used to train the ranking algorithm for its newsfeed, advertising and customer recommendations. The world's largest professional network (NY Read more…
LinkedIn Diagnostics Help Tune Hadoop Jobs
An open source tool released last by LinkedIn developers is intended to help Hadoop and Spark users analyze, tune and improve the performance of their workflows. The self-service performance-tuning tool for Hadoop dub Read more…
Cutting On Random Digital Mutations and Peak Hadoop
In a wide-ranging Strata + Hadoop World talk on Wednesday that reminds us why we like Doug Cutting so much, the father of Hadoop riffed on the evolution of big data tech, the power of open source, the promise of Flink, a Read more…
Distributed Computing Tops List of Hottest Job Skills
If you have cloud and distributed computing skills, your job prospects for 2016 are golden. That's because those particular job skills—which parallel the rise of Hadoop and other distributed computing frameworks--topp Read more…
The Real-Time Future of Data According to Jay Kreps
When Jay Kreps helped develop Kafka several years back, the LinkedIn engineer was just happy to replace a batch messaging process with a new data pipeline that worked in real-time. Fast forward to July 2015, and the CEO Read more…
One on One with LinkedIn’s VP of Engineering
Why are data scientists tripping over themselves to get their hands on LinkedIn’s data? What’s it like to run one of the world’s biggest social media sites, and how can machine learning algorithms contribute to the Read more…
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