News

News

  • June 24, 2016 24 Jun'16

    DataStax gets graph DB and Titan gets rewrite

    DataStax Enterprise 5.0 couples a Cassandra store with a version of the open source Titan graph DB. The goal is fast analytics closely tied to fast transactions.

  • June 24, 2016 24 Jun'16

    Fifty years forward: A look at the ComputerWeekly back pages

    On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.

  • June 17, 2016 17 Jun'16

    Graph technology the beating heart of new data management tools

    Graph technology is popping up in many places, including master data management. A major data integration player has joined the quest, as seen recently at Informatica World.

  • June 09, 2016 09 Jun'16

    Databricks reveals more on Spark 2.0; IBM, Microsoft renew Spark push

    Spark 2.0, with structured streaming and SQL 2003 support, is aborning as indicated at Databricks' Spark Summit, where R-to-Spark interfaces also popped up.

  • June 03, 2016 03 Jun'16

    Kafka streaming gets a new twist

    Startup vendor Confluent is looking to place a stake in the big data ecosystem with Kafka streaming and management tools meant to reduce complexity in applications that place data in motion.

  • Sponsored News

    • How DBAs Can Drive Oracle Performance With All-Flash Storage

      Database administrators (DBAs) are under intense pressure to improve the performance of their Oracle databases. Businesses are processing more data, more transactions and larger data sets, yet they also demand faster database performance with no latency. At the same time, many organizations are embracing database consolidation to reduce costs and improve efficiencies, while still expecting improved database performance. It’s a constant theme that is unlikely to change any time soon. In fact, with the growth of big data analytics and the Internet of Things, the pressure on DBAs will become even greater. See More

    • Scale-Out Storage Simplifies Planning

      “Never run out of disk space” became the storage administrator’s prime directive because of the big difference between storage and the rest of an organization’s IT infrastructure. When the network guys slightly underestimate the bandwidth they’ll need to provide, the network gets congested and applications slow down. Similarly, if the server crew ends up running a few too many VMs on too few hosts, the VMs run slower. See More

    • Better Together: Hadoop and Your Enterprise Data Warehouse

      You’re getting started with a big data analytics project on Hadoop and are impressed by the cost savings on storage compared with your data warehouse. You’ve read that TrueCar, a company that collects vast volumes of car price data for its online car-buying business, has cut its monthly data storage cost from $19/GB to $0.23/GB. So you’re wondering, should you consider moving all your business intelligence efforts to Hadoop? See More

    • Using Information Governance to Mitigate Risk

      As greater challenges emerge in today’s data-centric business environment, organizations are placing more emphasis than ever upon risk mitigation. Not only are IT executives looking for ways to reduce their organizations’ risk profiles, but business leaders—including boards of directors—are making risk reduction an essential action item. See More

    View All Sponsored News
  • June 01, 2016 01 Jun'16

    MIT panel shares tips on how to get into the data business

    Data wrapping -- in this case, bundling data and analytics services with products -- may entice more companies to become data businesses. A panel at an MIT symposium considered some best practices for doing so.

  • May 19, 2016 19 May'16

    Oracle NoSQL: An oxymoron waiting to happen?

    New cloud apps seem ready-made for NoSQL. This may cause Oracle to put more focus on its Oracle NoSQL database, which is often overlooked amid a crush of NoSQL contenders.

  • May 16, 2016 16 May'16

    New data landscape augurs discovery-based architectures

    In an interview, consultant Lakshmi Randall foresees changes in how data management is organized and executed as the overall data landscape shifts due to the adoption of big data systems.

  • April 29, 2016 29 Apr'16

    Big data challenges traditional data modeling techniques

    Surging big data is changing data modeling techniques, including schema creation. The word from Enterprise Data World 2016: Data pros must adjust.

  • April 29, 2016 29 Apr'16

    EBay helps drive new style of data engineering

    Open source data engineering has become a way of life at e-commerce leader eBay, says the company's Debashis Saha. Kylin is one of the tools that has resulted.

  • April 22, 2016 22 Apr'16

    Data lake meets warehouse in hybrid data architectures

    A new view on hybrid data architectures, in which data lakes and warehouses coexist, emerged at EDW 2016. The hybrid approach has implications for data design, skills and planning.

  • April 19, 2016 19 Apr'16

    New tools offer a better view into managing Hadoop clusters

    Running a Hadoop cluster in the data center isn't for the weak. But several new tools aim to give IT operations teams a closer look into what's going on inside Hadoop-based big data systems.

  • April 13, 2016 13 Apr'16

    Hadoop market consolidation continues with Pivotal's exit

    Pivotal Software dropped out of the Hadoop distribution business in favor of reselling the Hortonworks version of the big data framework -- and the market consolidation moves may not be over.

  • April 01, 2016 01 Apr'16

    Streaming analytics puts data in motion at Strata + Hadoop 2016

    Moving streams of data is a must in many modern applications. As a result, streaming analytics systems with Spark Streaming, Kafka and other components are coming to the big data forefront.

  • March 31, 2016 31 Mar'16

    Deep machine learning drives Loop AI quest

    Loop AI Labs' Bart Peintner discusses the transformational impact of deep learning technology, artificial intelligence, and how these tech trends will reshape industries.

-ADS BY GOOGLE

SearchBusinessAnalytics

SearchAWS

SearchContentManagement

SearchOracle

SearchSAP

SearchSOA

SearchSQLServer

Close