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Extract transform load tools News
September 04, 2018
A graph database startup's parallel loading, processing and querying combine to deliver real-time data for fintech firms that offer fast credit evaluations online.
September 26, 2017
ETL jobs -- once the sole province of IT -- take on a new form as data wrangling and self-service gain greater traction with business users of analytics.
August 10, 2017
Information Builders has released a free developer version of its big data integration platform, which could potentially help channel companies take on Hadoop projects.
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 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
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
Storm is a free and open source (FOSS) distributed real-time computation system developed by the Apache Foundation. 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
The Neo4j graph database is poised for use in AI applications, in which understanding data can stymie efforts. Recent updates target AI needs and performance issues. 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
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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
Changes in data management processes -- including self-service data preparation, data lakes and real-time analytics -- create a new landscape in companies, according to analyst Matt Aslett. Continue Reading
The data preparation process is becoming harder to manage effectively, especially for big data analytics applications involving large amounts of data from a variety of sources. Continue Reading
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Real-time big data analytics calls for changes in the way data systems are built. Some of the pressing challenges are discussed in this edition of the Talking Data podcast. Continue Reading
Count Paxata among startups set to apply machine learning to problems of big data preparation. Continue Reading
Integration software has matured in recent years, but consultant Rick Sherman writes that many IT managers aren't aware of the increased capabilities. Continue Reading