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Data integration technology News
June 23, 2020
Virgin Hyperloop turned to Databricks to horizontally scale out and speed up its processes as it works to create a new form of transportation.
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.
February 20, 2019
Google Cloud will acquire Israeli startup Alooma in a bid to add to its data migration portfolio. The move follows last year's acquisition of cloud migration vendor Velostrata.
December 28, 2004
The four levels of IT Integration are: User Interaction, Business Process, Application and Data Integration.
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EbXML (Electronic Business XML or e-business XML) is a project to use the Extensible Markup Language (XML) to standardize the secure exchange of business data. Continue Reading
Learning how to implement blockchain requires a clear understanding of the technology's decentralized ecosystem. Following these guidelines will help simplify your approach. Continue Reading
IPaaS connects enterprise applications and data, which encompasses on-premises systems to the cloud and IoT. Review these iPaaS examples to understand how it all works. Continue Reading
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Enterprise blockchain projects can easily run aground without the right navigational tools. Our in-depth guide will help ensure safe passage. Continue Reading
This guide explains all about integration platform as a service (iPaaS), a set of automated tools that integrate software applications that are deployed in different environments. Continue Reading
Blockchain and smart contracts have their own unique vulnerabilities. But poor code testing, cryptographic keys and generic network attacks will get you, too. Continue Reading
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Learning advanced SQL skills can help data scientists effectively query their databases and unlock new insights into data relationships, resulting in more useful information. 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
As companies adopt a pantheon of cloud apps, so grows the risk of having isolated bodies of data. The cloud-based integration of far-flung systems can have divine results. Continue Reading