SnapLogic Introduces Intelligent Connectors for Microsoft Azure Data Lake Store

By on

slby Angela Guess

A new press release reports, “SnapLogic, the industry’s first unified data and application integration platform as a service (iPaaS), today announced the availability of new pre-built intelligent connectors — called Snaps — for Microsoft Azure Data Lake Store. The new Snaps provide fast, self-service data ingestion and transformation from virtually any source — whether on-premises, in the cloud or in hybrid environments — to Microsoft’s highly-scalable, cloud-based repository for big data analytics workloads. This latest integration between SnapLogic and Microsoft Azure helps enterprise customers gain new insights and unlock business value from their cloud-based big data initiatives.”

The release continues, “The Microsoft Azure Data Lake Store is a hyper-scale repository for big data analytics. With SnapLogic, users can ingest data from any source and in any format to Microsoft Azure Data Lake Store for further processing on an HDInsight cluster. Timely, relevant data can then be delivered for analysis to a variety of business intelligence tools or off-cluster data stores. ‘As data gravity continues to move to the cloud, enterprises require a modern, agile platform to manage the massive volumes and varieties of data increasingly being stored and processed in data lakes,’ said Craig Stewart, vice president of product management at SnapLogic. ‘Together with Microsoft, we are making it easier and faster for our customers to turn big data in the cloud into intelligent, actionable insights that in turn deliver meaningful value to the business’.”

Read more at Marketwired.

Photo credit: SnapLogic

We use technologies such as cookies to understand how you use our site and to provide a better user experience. This includes personalizing content, using analytics and improving site operations. We may share your information about your use of our site with third parties in accordance with our Privacy Policy. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. By continuing to use our site, you agree that we can save cookies on your device, unless you have disabled cookies.
I Accept