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In this article from Inside Big Data, Pete Goddard, CEO and co-founder of Deephaven Data Labs, paints a new picture of data: one of a synchronized group effort rather than a relay race of individual, siloed teams. He explains how the “baton pass” method of working with data – inherently full of risks and slow-downs – has evolved but not quite met the needs of modern data teams.

Pete then outlines how de-compartmentalizing data use cases can lead to a new understanding that data is changing and exists on a continuum of time. When all data problems are viewed through the lens of how data needs to meet software, and diverse teams are brought together to work in tandem on these interesting problems, we can create one frictionless data world free from the current limits of intermediation.

Analytics Insight has engaged in an exclusive interview with Pete Goddard, CEO of Deephaven Data Labs.

Data analytics software tools enable businesses to analyze vast stores of data for great competitive advantage. These platforms can mine data that tracks a diverse array of business activity from current sales to historic inventory, based on data scientists’ queries. Deephaven, a data software company, developed its initial version of its engine as an in-house product at a quantitative hedge fund. Its newest iteration, Community Core, provides the same easy-to-use tools and high-performance in an open product.

It’s time to tune in to the Data Stack Show powered by @RudderStack as they interview our CEO, Pete Goddard, on defining real-time data.

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