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More From The Blog

24 March 2017

Data Lakes Driven by Kylo: Unparalleled Speed to Market

For many companies, working with data lakes has become a frustrating and unsuccessful experience: instead of being focused on building analytics and improving the quality of the data lake, engineering teams often spend most of their time dealing with requests to ingest new data sources or wrangle data. As a result, they have little time left to focus on data improvement and delivering value from big data analytics. Using Kylo, our open source data lake management platform, companies are able to generate valuable insight from their data lakes faster, bringing innovation via products and services to the market at unparalleled speed.

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16 March 2017

Maximizing the Value of Big Data with Kylo™: 3 Real-Life Use Cases

Think Big's enterprise-ready, open source data lake management platform, Kylo, is built on Apache Spark, NiFi and Hadoop to help organizations get the most value out of their data. Using Kylo, Think Big has been able to help customers to integrate and simplify pipeline development and data management tasks, resulting in faster time to market and greater user adoption. From data lake build struggles, to building complex transformations in just 9 weeks instead of months or even years, Kylo enables organizations to significantly reduce costs across the board.

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8 March 2017

The Open Source Community Welcomes Kylo™: A Next Generation Data Lake Management Software Platform

Hadoop is difficult to get right, and most organizations will freely admit they don’t have the in-house engineering skills to successfully implement big data solutions on the Hadoop stack. In fact, at the recent Gartner Data & Analytics Summit in Sydney, Gartner research director Nick Heudecker claimed that 70 per cent of Hadoop deployments in 2017 will either fail to deliver their estimated cost savings or their predicted revenue.

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