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Teradata Debuts Open Source Kylo to Quickly Build, Manage Data Pipelines

By   /  March 28, 2017  /  No Comments

by Angela Guess

A recent press release reports, “Teradata, a leading analytics solutions company, announced a new and important contribution to the open source community that will deliver unprecedented efficiencies for companies creating data lakes. Teradata is introducing Kylo™, a data lake management software platform built using the latest open source capabilities such as Apache® Hadoop®, Apache Spark™ and Apache NiFi™. Kylo is a Teradata sponsored, open-source project that is offered under the Apache 2.0 license. Kylo evolved from code harvested from proven data lake engagements led by Think Big Analytics, a Teradata company, which will provide services and support for Kylo™.”

The release continues, “With substantive experience creating business value from data lakes, Teradata is contributing Kylo™ to help organizations address the most common challenges they face in data lake implementation efforts. These include the central problem that data lakes simply take too long to build, and in the average 6-12 month build cycle, users find that use cases can become out of date and less relevant to quickly evolving businesses. Second, despite the lower cost of software, engineering costs quickly mount. Finally, a data lake, once created, may fail to attract users who find it difficult to explore, and so little value is realized.”

It goes on, “Derived and developed from data lake deployments across industries, Kylo can easily help resolve these challenges, because it integrates and simplifies pipeline development and common data management tasks, resulting in faster time to value, greater user adoption and developer productivity. With Kylo, no coding is required, and its intuitive user interface for self-service data ingest and wrangling helps accelerate the development process. Kylo also leverages reusable templates to increase productivity.”

Read more at Newswire Today.

Photo credit: Teradata

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