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        David Menninger's Analyst Perspectives

        I recently spent time at Strata+Hadoop World 2016 in New York. I attended this event and its predecessor, Hadoop World, off and on for the past six years. This one in New York had a different feel from previous events including the most recent event in San Jose at the end of March. Perhaps because of its location in one of the financial and commercial hubs of the world, the event had much more of a business orientation. But it’s not just location. Past events have been held in New York also,...

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        Topics: Big Data, Predictive Analytics, Strata+Hadoop

        It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging topic.

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        Topics: Big Data, Microsoft, Teradata, Business Analytics, Business Intelligence, IBM, Information Management, Operational Intelligence, Oracle, HPE, ODPI, Strata+Hadoop

        It has been more than five years since James Dixon of Pentaho coined the term “data lake.” His original post suggests, “If you think of a data mart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state.” The analogy is a simple one, but in my experience talking with many end users there is still mystery surrounding the concept. In this post I’d like to clarify what a data lake is, review the...

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        Topics: Big Data, Data Science, Predictive Analytics, Social Media, Business Analytics, Business Intelligence, Data Governance, Data Lake, Governance, Risk & Compliance (GRC), Information Management, Uncategorized, Strata+Hadoop

        On Monday, March 21, Informatica, a vendor of information management software, announced Big Data Management version 10.1. My colleague Mark Smith covered the introduction of v. 10.0 late last year, along with Informatica’s expansion from data integration to broader data management. Informatica’s Big Data Management 10.1 release offers new capabilities, including for the hot topic of self-service data preparation for Hadoop, which Informatica is calling Intelligent Data Lake. The term “data...

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        Topics: Big Data, Business Intelligence, Data Governance, Data Preparation, Informatica, Information Applications, Information Management, Uncategorized, Strata+Hadoop

        I want to share my observations from the recent annual SAS analyst briefing. SAS is a huge software company with a unique culture and a history of success. Being privately held SAS is not required to make the same financial disclosures as publicly held organizations, it released enough information to suggest another successful year, with more than $2.7 billion in revenue and 10 percent growth in its core analytics and data management businesses. Smaller segments showed even higher growth rates....

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        Topics: Big Data, Predictive Analytics, SAS, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Strata+Hadoop

        MicroStrategy, one of the largest independent vendors of business intelligence (BI) software, recently held its annual user conference, which I attended with some of my colleagues and more than 2,000 other attendees. At this year’s event, the company emphasized four key themes: mobility, cloud computing, big data and social media. In this post, I’ll assess what MicroStrategy is doing in each of the first three areas. My colleague, Mark Smith, covered MicroStrategy’s social intelligence efforts...

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        Topics: Big Data, MicroStrategy, Mobile, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, Strata+Hadoop

        Talend recently announced version 5 of its information management platform, which emphasizes unifying its various components. Through a combination of development activities, acquisitions and partnerships, Talend has been steadily building its portfolio of information management capabilities. In addition to its core data integration capabilities, it has added data quality, master data management, application integration and with this release business process management (BPM).

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        Topics: Big Data, Data Quality, Master Data Management, Talend, Business Analytics, Cloud Computing, Data Governance, Data Integration, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Strata+Hadoop

        Cloudera’s recent Hadoop World 2011 event confirmed that the world of big data is getting even bigger. As I wrote of last year’s event, Hadoop, the open source large-scale data processing technology, has gone mainstream. And while 75% of the audience attended this year for the first time and so may not have realized the breadth of Hadoop’s acceptance, statistics announced in the opening keynote show widespread use of it. Mike Olson, Cloudera CEO, reported that the event was sold out, with 1,400...

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        Topics: Big Data, Datameer, MapR, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Cloudera, Customer & Contact Center, Financial Performance, Hortonworks, Informatica HParser, Karmasphere, NetApp, Workforce Performance, Strata+Hadoop

        Informatica recently introduced HParser, an expansion of its capabilities for working with Hadoop data sources. Beginning with Version 9.1, introduced earlier this year, Informatica’s flagship product has been able to access data stored in HDFS as either a source or a target for information management processes. However, it could not manipulate or transform the data within the Hadoop environment. With this announcement, Informatica starts to bring its data transformation capabilities to Hadoop.

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        Topics: Big Data, MapReduce, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Performance, Customer & Contact Center, Data Integration, Financial Performance, Information Management, Workforce Performance, Strata+Hadoop

        Oracle made several announcements at its recent Open World event demonstrating its strengths in the business computing market but also that it is standing on the shoulders of giants. The company has developed the expertise, processes and market share to scale out the ideas and innovations of others. Don’t get me wrong: That statement is not an indictment. Large organizations often have challenges with innovation. They are not as nimble as their smaller competitors. On the other hand, small...

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        Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, NoSQL, Oracle, Workforce Performance, Strata+Hadoop, Digital Technology
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        • Ventana Research’s Analyst Perspectives are fact-based analysis and guidance on business, industry and technology vendor trends. Each Analyst Perspective presents the view of the analyst who is an established subject matter expert on new developments, business and technology trends, findings from our research, or best practice insights.

          Each is prepared and reviewed in accordance with Ventana Research’s strict standards for accuracy and objectivity and reviewed to ensure it delivers reliable and actionable insights. It is reviewed and edited by research management and is approved by the Chief Research Officer; no individual or organization outside of Ventana Research reviews any Analyst Perspective before it is published. If you have any issue with an Analyst Perspective, please email them to ChiefResearchOfficer@ventanaresearch.com

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