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Enterprise data integration (EDI) software News
February 12, 2019
Cloud data warehouses see serious data transformation work moving cloud side. Talend's first integration with Stitch, which it recently bought, reflects the trend.
February 01, 2019
Cloud giants like AWS have adopted open source databases, causing Confluent, MongoDB and others to guard their assets the best way they know how: licensing.
December 14, 2018
Third-party vendors that offer data platforms to AWS users tout hedges against cloud lock-in. But they 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.
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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
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. Continue Reading
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Real-time data integration isn't like traditional data integration -- "it's moving, it's dirty and it's temporal," cautions one data pro. Experts offer up some best practices. Continue Reading
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
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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