Thor Olavsrud

About the Author Thor Olavsrud


3 keys to keep your data lake from becoming a data swamp

For years, buoyed by technologies like Apache Hadoop, organizations have been seeking to build data lakes — enterprise-wide data management platforms that allow them to store all of their data in their native format. Data lakes promise to break down information silos by providing a single data repository the entire organization can use for everything from business analytics to data mining. Raw and ungoverned, data lakes have been pitched as a big data catch-all and cure-all.

But Avi Perez, CTO of business intelligence (BI) software specialist Pyramid Analytics says he sees many customers and prospects whose data lakes are deteriorating into data swamps — massive repositories of data that are completely inaccessible to end users.

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DataStax sets sights on customer experience

Enterprises are increasingly seeing the need for their data to generate real-time, contextually aware insights in milliseconds or even microseconds — providing personalized responsiveness every time a customer taps a screen, changes lanes in a car and so on.

Responding to this need to support what it describes as the “right-now economy,” DataStax, a specialist in database software for cloud applications built on the open source foundations of Apache Cassandra and Apache TinkerPop, last week announced its adoption of a comprehensive strategy to help enterprises design and implement Customer Experience (CX) applications.

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