InfoQ Homepage Data Analytics Content on InfoQ
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Spark Officially Graduates From Apache Incubator
Recently, Spark graduated from the Apache incubator. Spark claims up to 100x speed improvements over Apache Hadoop over in-memory datasets and gracefully falling back to 10x speed improvement for on-disk performance. Based on Scala, it can run SQL queries and be used directly in R. It provides Machine Learning, Graph database capabilities and other further discussed in the article.
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Spark, Storm and Real Time Analytics
Hadoop is definitely the platform of choice for Big Data analysis and computation. While data Volume, Variety and Velocity increases, Hadoop as a batch processing framework cannot cope with the requirement for real time analytics. Spark, Storm and the Lambda Architecture can help bridge the gap between batch and event based processing.
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Big Data at Netflix Drives Business Decisions
Jeff Magnusson from Netflix team gave a presentation at QCon SF 2013 Conference about their Data Platform as a Service. Following up to this presentation, we will look at the technology stack and how it helps Netflix to tackle important business decisions.
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Latest Technology Trends on the Radar
Thoughtworks recently released a new installment of their technology radar highlighting techniques enabling infrastructure as code, perimeterless enterprises, applying proven practices to areas without, and lightweight analytics.
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DNN Social Simplifies Customer Interaction with Gamification, Analytics, Ideation, Blogs and Forums
DNN Social enables customers to interact with the site interface via blogs, discussion forums, FAQ's and includes features such as gamification, analytics, ideation and activity stream, which enables site administrators to gauge the effectiveness of interaction.
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Trends in the latest Technology Radar
ThoughtWorks's latest "Technology Radar" focuses on mobile, accessible analytics, simple architectures, reproducible environments, and data persistence done right.
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Precog: Big Data Analytics as a Service
Precog has recently announced a Big Data warehousing and analysis service which takes care of the data capture, storage, transformation, analysis and visualization process and the infrastructure on which it runs, but leaving open various access points throughout the service via RESTful APIs enabling developers and data scientists to control the entire process.
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Oracle Big Data Appliance and Connectors Support Integration with Hadoop and Cloudera Manager
Oracle Big Data Appliance and Big Data Connectors support integration with Hadoop, Cloudera Manager and Oracle NoSQL Database. Oracle announced last month the availability of Big Data Appliance and Connectors as well as partnership with Cloudera. They also recently announced the Advanced Analytics for Big Data by integrating R statistical programming language into Oracle Database 11g.