New & Notable
Data integration technology News
June 05, 2019
AtScale 2019.1 comes with many new capabilities, including extended database support, increased security and advanced analytical query capabilities.
May 22, 2019
Google and Informatica have expanded their partnership and product integrations as enterprise customers seek to move large data sets into the cloud for processing and analytics.
May 07, 2019
Blockchain is intriguing technology, but carries with it high system overhead. ProvenDB adds blockchain to MongoDB in an effort to gain acceptable performance.
April 17, 2019
New Google Cloud boss Thomas Kurian is putting databases and data management at the forefront at Google. The vendor has forged key data deals, showing a more mature Google Cloud.
Data integration technology Get Started
Bring yourself up to speed with our introductory content
This online handbook examines data virtualization software and how organizations are deploying and using the technology as part of their data integration processes. Continue Reading
Data virtualization is an umbrella term used to describe any approach to data management that allows an application to retrieve and manipulate data without needing to know any technical details about the data such as how it is formatted or where it ... Continue Reading
Analysts walk you through the data integration strategies behind a postmodern ERP approach, while a semiconductor company explains how it undertook this type of project. Continue Reading
Evaluate Data integration technology Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Through in-place integration, data virtualization platforms can provide wider access to data and simplify security and governance. But they come with some limitations. Continue Reading
In a Q&A, Gartner analyst Mark Beyer discusses user adoption of data virtualization software and the wider data integration uses that the technology is now handling. Continue Reading
Microservices are riding a wave of user interest, leading to changes in IT operations. ThoughtWorks expert Zhamak Dehghani discusses what that means for big data. Continue Reading
Manage Data integration technology
Learn to apply best practices and optimize your operations.
Indiana University is using data virtualization to combine data from various source systems for analysis, as part of an initiative to improve strategic decision-making. Continue Reading
Applications can pull from and work with data from multiple sources, as long as the app design incorporates these five fundamental data management and mapping techniques. Continue Reading
Data modeling and curation can help businesses more efficiently use data they've collected. There are challenges, however -- beginning with ensuring data quality. Continue Reading
Problem Solve Data integration technology Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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
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