Month: March 2016

Category: March2016
Weekly Newsletter, Mar 25, 2016

The intent of this newsletter is to highlight some of the newsworthy developments that emerged in the Industry during the past week. Microsoft opens Big Data Factory to ease migration to Azure Microsoft states that its Copy Wizard tool, which provides an interactive interface for customers, will simplify movement of data between Azure QL, Azure … Continue reading “Weekly Newsletter, Mar 25, 2016”

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Denodo Platform 6.0 Accelerates Data Virtualization Initiatives

Data Virtualization is a growing segment of the Data Integration market. A key player, Denodo, has just announced Release 6.0 of its Denodo Platform by end of March. Key distinguishing features of this latest release are expected to push this vendor to the forefront of Data Virtualization implementation. These features (see below) include exploitation of … Continue reading “Denodo Platform 6.0 Accelerates Data Virtualization Initiatives”

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Weekly Newsletter, Mar 18, 2016

The intent of this newsletter is to highlight some of the newsworthy developments that emerged in the Industry during the past week. Talend Brings Spark Processing to iPaaS with Integration Cloud The new version of Talend’s Integration Cloud allows organizations to execute Big Data and Data Integration projects running on AWS Redshift or AWS Elastic … Continue reading “Weekly Newsletter, Mar 18, 2016”

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Data Virtualization vs. Self-service Data Preparation

Data Virtualization and Self-service Data Preparation (see definitions below) may appear to be “redundant” technologies at first glance based on their overlapping product capabilities. However, by scrutinizing their respective targeted use cases and personas, strengths and weaknesses (see Table 1 below), it becomes clear that these technologies can be complementary and thus can work in conjunction (See … Continue reading “Data Virtualization vs. Self-service Data Preparation”

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Weekly Newsletter – March 12, 2016

The intent of this newsletter is to highlight some of the newsworthy developments that emerged in the Industry during the past week. Biometric Authentication in Healthcare IVR Technology Group and CommuniGate announced ActiveAuth, a joint venture with the goal of building a HIPAA compliant application that will protect the security of a patient’s medical records … Continue reading “Weekly Newsletter – March 12, 2016”

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Syncsort Establishes a New Milestone in Exploiting Mainframe Data with Hadoop

Syncsort is a key player in mainframe data access and integration. The company’s DMX-h product enables ingestion of historical, mainframe data into Hadoop, thereby capitalizing on the power of Hadoop for processing and analyzing mainframe data in combination with other relevant data. Syncsort has taken a significant leap forward with its latest release of DMX-h … Continue reading “Syncsort Establishes a New Milestone in Exploiting Mainframe Data with Hadoop”

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Unmanaged Self-service leads to Unreliable Insights

Can “self-service” be truly autonomous? Can today’s self-service products be used to perform data unification, preparation and analysis to successfully glean relevant, unambiguous business insights in the absence of IT involvement? Enterprises today are ill-prepared for self-service initiatives that are not managed by IT. Why is self-service attractive? Self-service Data Unification, Data Preparation (SSDP), and … Continue reading “Unmanaged Self-service leads to Unreliable Insights”

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8 Challenges for the Biomedical Industry in terms of Big Data

We are anticipating an exponential growth in the availability of genomics big data, thank to Next-generation Sequencing (NGS) platforms that have reduced the time and cost for sequencing genomes. NIH data (see Figure 1) indicates a reduction in the cost of sequencing an entire genome from $100M in 2001 to around $1,000 in 2015. In a … Continue reading “8 Challenges for the Biomedical Industry in terms of Big Data”

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Why Big Data Is Still In Its Adolescence!

There exists a viewpoint that big data has achieved maturity. From my perspective, there is still room to grow. Traditional data management and data integration approaches continue to undergo changes that are disrupting and altering product offerings, or resulting in entirely new product offerings. Big data oriented analytic use cases are evolving rapidly, which will … Continue reading “Why Big Data Is Still In Its Adolescence!”

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Five important considerations when cataloging your data

Clearly define the objectives of your data catalog(s) such as: Archiving Discovery of data in support of information management and analytics initiatives Digitalization Understanding data lineage Building knowledge and increasing data stewardship Mapping of technical metadata to business metadata in order to facilitate understanding of data Control access to the Data Catalog. A good data … Continue reading “Five important considerations when cataloging your data”

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