SDTimes: “Businesses are failing to reach Big Data maturity, report finds”

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Enterprises have been leveraging Big Data solutions to capture, store, analyze, organize and transform their data for years; but despite the advancements made in this space, they have still not reached a transformational level of maturity, a recently released survey revealed. The 2018 Big Data Maturity survey was a three-year effort that consisted of 5,593 responses from all industries across the globe. The responses were collected in collaboration with a number of partners including  Cloudera, Hortonworks, MapR, Tableau, ODPi (a Linux Foundation Project). READ MORE

Storage Review: “News Bits: NETGEAR, NAKIVO, Dell, Linux, ODPi, Cisco, Scality, iboss, Microsemi, & More”

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This week’s News Bits we look at a number of small announcements, small in terms of the content not the impact they have. NETGEAR introduces new consumer WiFi system. NAKIVO releases version 7 with support for Hyper-V. Dell releases its lightest, smallest, and most power-efficient entry-level thin client. The Linux Foundation and ODPi launch a free intro to Apache Hadoop courseREAD MORE.

Database Trends and Applications: “Riding Two Major Apache Hadoop Trends: Cloud and Standards”

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By: Mike Maciag and John Mertic

Over the past year, we have witnessed a sea of change in how enterprises are thinking about Apache Hadoop and big data. Just 12 months ago, a majority of enterprises were still committed to building their own on-premises Apache Hadoop implementations and were agonizing over which distribution to select, weighing which constellation of applications would run with that particular distribution, since there were no standards for Apache Hadoop. Today, a majority of enterprises are thinking about the cloud first, not on-premises, and are increasingly relying on ecosystem standards to drive their Apache Hadoop distribution selection. READ MORE.

App Developer Magazine: Get a free intro to Apache Hadoop course

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The Linux Foundation, the nonprofit advancing professional open source management for mass collaboration, today announced its newest massive open online course (MOOC) is available for registration. The course, LFS103x – Introduction to Apache Hadoop, is offered through edX, the nonprofit online learning platform launched in 2012 by Harvard University and Massachusetts Institute of Technology (MIT). This free course will begin in early June. READ MORE.

Certification Magazine: New free MOOC offers nuts-and-bolt intro to Apache Hadoop

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In the not-too-distant past, all-things-to-all-surfers internet portal Yahoo! ran a marketing campaign that asked internet-savvy (and non-savvy) individuals one simple question: Do you, uh, Yahoo!? As Big Data continues to attract attention from businesses and organizations, a similar-sounding question is probably being asked of many IT professionals: Do you, uh, Hadoop? READ MORE.

insideBIGDATA: “Push to the Cloud: Five Things to Nail Down Before Making the Switch”

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In this special guest feature, John Mertic, Director of Program Management for ODPi and Open Mainframe Project at The Linux Foundation, makes the argument that “When it comes to your data in the cloud, there are certain pieces to the technology puzzle you should have nailed down with five baseline things to address – regardless of your IT, data output, cloud provider and security – before making the switch…” READ MORE.

VMblog: “ODPi 2017 Predictions: Rapidly-Growing and Ever-Evolving Big Data Landscape”

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ODPi is a nonprofit organization committed to simplification & standardization of the big data ecosystem. As the VP of Technology for the Linux Foundation project and PMC member of Apache Bigtop, Groovy, Geode, Ignite and Incubator; Committer to Apache Hadoop and Giraph; and Mentor for Apache HAWQ (incubating), Apache MADlib (incubating) and Apache Fineract (incubating)  at Apache Software Foundation, I’m well-versed in Open Source trend identification and executing on strategies that complement these developments for the benefit of our community. I’ve put my trend observations for the big data landscape into the below predictions for the coming year. READ MORE.

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