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Enterprise data integration (EDI) software News
December 14, 2018
Third-party players looking to join Amazon Web Services' cloud data lineup tout hedges against cloud lock-in. The vendors must both compete and collaborate with the cloud leader.
August 29, 2018
Talend released software that does bulk data uploads to Microsoft's Azure SQL Data Warehouse. The goal is to streamline data integration and support real-time analytics.
March 24, 2017
Blockchain data technology disruption may be in the offing. IDC's Stewart Bond says architecture at the core of controversial bitcoin may show a new path to data integrity.
February 06, 2017
Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications.
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Customer data integration (CDI) is the process of defining, consolidating and managing customer information across an organization's business units and systems to achieve a "single version of the truth" for customer data. Continue Reading
Database replication is the frequent electronic copying of data from a database in one computer or server to a database in another so that all users share the same level of information. Continue Reading
Customer data integration is a minefield for IT teams to navigate. But incorporating a set of core technical functions into an integration architecture can ease the process. Continue Reading
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Handling diverse data sources usually consumes precious developer time. That led healthcare CRM company SymphonyRM to hand the data prep task to business analysts. Continue Reading
Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends. Continue Reading
Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications. Continue Reading
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Expert David Loshin explores the benefits and challenges of the two classes of record matching in master data management systems: deterministic matching vs. probabilistic matching. Continue Reading
Most companies don't have a shortage of data, but it's often stored in siloed systems or inconsistent formats -- problems that data integration programs need to address. Continue Reading
Today, analytics work is about speed. That means rapidly building clusters and transforming and querying data. Learn how users are streamlining digital business. Continue Reading
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Data integration processes that aren't managed properly can create inconsistent data in BI and analytics applications. Here are some steps to avoid that problem. Continue Reading
Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake. Continue Reading
Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading