Tag: Spark Streaming
Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
Kinetica got its start serving queries on fast-moving geospatial and temporal data for the Department of Defense. Now it’s moving into other industries with similar big data problems, including finance, where one large Read more…
RISELab Replaces AMPLab with Secure, Real-Time Focus
UC Berkeley AMPLab will shut its doors in December after six years of delivering major technological innovations like Apache Spark, Apache Mesos, and Alluxio. Taking its place is the RISELab, which will focus its efforts Read more…
Spark 2.0 to Introduce New ‘Structured Streaming’ Engine
The folks at Databricks last week gave a glimpse of what's to come in Spark 2.0, and among the changes that are sure to capture the attention of Spark users is the new Structured Streaming engine that leans on the Spark Read more…
Real-Time Streaming Gone ‘Bananas’
Akuda Labs is touting the throughput and power of a real-time stream data processing system it released last week. The company says the software, dubbed Bananas, runs 10 times faster that Apache Spark Streaming, with con Read more…
Meet Your Friendly Neighborhood Spark Sherpa
Apache Spark is the most popular big data project at the moment, with thousands of contributors cranking out code on a weekly basis. Keeping up with Spark releases is hard, and it's why Hadoop distributor Hortonworks vie Read more…
3 Major Things You Should Know About Apache Spark 1.6
Hundreds of fixes and new features made their way into Apache Spark 1.6, which was announced last week and is expected to ship in mid-December. But here are the three main things in Spark 1.6 that are most likely to affe Read more…
Spark Streaming: What Is It and Who’s Using It?
A recent study of over 1,400 Spark users conducted by Databricks, the company founded by the creators of Spark, showed that compared to 2014, 56 percent more Spark users globally ran Spark Streaming applications in 2015. Read more…
Taming Apache Storm for Real-Time Analytics
Apache Storm is gaining a foothold among organizations looking to do real-time analytics on streaming data. However, the difficulty in working with the distributed processing framework is proving to be a major hurdle to Read more…
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