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  • Glenn Tamkin on Applying Apache Hadoop to NASA's Big Climate Data

    NASA Center for Climate Simulation (NCCS) is using Apache Hadoop for high-performance data analytics. Glenn Tamkin from NASA team, recently spoke at ApacheCon Conference and shared the details of the platform they built for climate data analysis with Hadoop.

  • 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.

  • Splunk Enterprise 6.2 Supports Instant Pivot and Enhanced Event Pattern Detection

    The latest version of big data analytics tools Splunk Enterprise and Hunk support instant pivot, enhanced event pattern detection, and prebuilt dashboard panels. Splunk Inc., provider of the software platform for operational intelligence, recently announced the general availability (GA) of version 6.2 of Splunk Enterprise and Hunk: Splunk Analytics for Hadoop and NoSQL Data Stores.

  • LinkedIn Open Sources Cubert With an Eye To Big Data Analytics

    LinkedIn recently open sourced Cubert, its High Performance Computation Engine for Complex Big Data Analytics. Cubert is a framework written for analysts and data scientists in mind.Developed completely in Java and expressed as a scripting language, Cubert is designed for complex joins and aggregations that frequently arise in the reporting world.

  • Microsoft Expands Azure Machine Learning and Real Time Analytics Offering

    Microsoft recently announced new machine learning capabilities for Microsoft Azure platform. Developers can also create their own web services and publish them to Azure Marketplace. Microsoft also announced availability of Apache Storm for Azure. Azure Stream Analytics, Data Factory and Event Hubs for Azure were all announced in the past few weeks by Microsoft. In this article we explore moreabout

  • Drone Data Adds a New Horizon for Big Data Analytics

    Usage of data generated by drones is going to add a new horizon in data storage and processing. Kirk Borne, professor at George Mason University recently talked about the challenge of processing, storing and transferring this data.

  • IBM: 70% of Enterprises Are Using Big Data, Cloud, Mobile and Social

    With Raising the game - The IBM Business Tech Trends Study (PDF) IBM has evaluated the current adoption landscape of 4 key technologies in the enterprise: Big Data & Analytics, Cloud, Mobile and Social, comparing today’s adoption with 2012’s and Pacesetters against Dabblers.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

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