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  • Data Streaming Architecture with Apache Flink

    Jamie Grier recently spoke at OSCON 2016 Conference about data streaming architecture using Apache Flink. He talked about the building blocks of data streaming applications and stateful stream processing with code examples of Flink applications and monitoring.

  • Elephant in the Cloud - Hadoop as a Service

    Hadoop and other big data technologies revolutionized the way organizations run data analytics but the organizations are still facing challenges with operating costs of using these technologies for on-premise data processing. Ashish Thusoo recently spoke at Enterprise Data World Conference about Hadoop as a service offering that helps organizations bridge the gaps with these capabilities.

  • Google Cloud Machine Learning and Tensor Flow Alpha Release

    Late last month Google released an alpha version of their TensorFlow (TF) integrated cloud machine learning service as a response to a growing need to make their Tensor Flow library to run at scale on the Google Cloud Platform (GCP). Google describes several new feature sets around making TF usage scale by integrating several pieces of the GCP like Dataproc, a managed Hadoop and Spark service.

  • Microsoft Releases Power BI Embedded Preview

    Recently at the 2016 Build Event in San Francisco, Microsoft announced a change to their Power BI offering. The update comes in the form of giving customers and ISVs with the ability to embed Power BI reports within their own applications. Microsoft is calling this service Power BI Embedded and it is currently in preview.

  • Funnel Analysis at Twitter for Improving User Engagement

    Funnel analysis is used to analyze a sequence of events to help with user engagement on a website or a mobile application. Data Science team at Twitter uses this concept to learn how users interact with user interfaces during sign up or tweeting for improving user engagement with Twitter.

  • IBM Extends its Cloud Data Analytics Services

    IBM has announced four new data services: Analytics Exchange, Compose Enterprise, Graph, and Predictive Analytics. IBM’s new data services are meant to enable users to analyze their own data or get access to datasets provided by IBM. While some of the services run on Bluemix, for others the data can be deployed on other clouds, including private ones.

  • How Airbnb Uses Net Promoter Score to Predict Guest Rebooking

    Net Promoter Score (NPS) is a customer loyalty metric used to determine the likelihood that a customer will return to a company's website or use their service again. Airbnb uses NPS extensively in measuring the customer loyalty, as a more effective measurement to determine the likelihood that a customer will return to book again or recommend the company to their friends.

  • Yahoo! Benchmarks Apache Flink, Spark and Storm

    Yahoo! has benchmarked three of the main stream processing frameworks: Apache Flink, Spark and Storm.

  • IBM Brings Watson to IoT

    IBM has inaugurated the IoT Global Headquarters and will use the Watson technology to analyze and interpret IoT data.

  • 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...

  • IBM to Open Source 50 Projects

    IBM has announced a new web portal called developerWorks Open, bringing together various projects they are open sourcing. The projects cover many domains including Analytics, Cloud, IoT, Mobile, Security, Social, Watson and others. So far, IBM has open sourced about 30 projects, and they plan to increase the number up to 50 by the end of the year, and others may come in the future.

  • Q&A on New Relic Software Analytics Improvement

    New Relic has released a set of new features to its Software Analytics Platform. Service Maps is a real time visual map focused on services. Together with a tool for Docker monitoring, a database dashboard for NoSQL databases and an unified alerts platform, the company wants to reduce complexity in modern software architecture.

  • 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.

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