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Don’t Jump Into a Data Lake Without a Boat

By   /  July 29, 2014  /  No Comments

Floating and sinkingby Angela Guess

Ben Rossi of Information Age recently wrote, “The growing hype surrounding data lakes is causing substantial confusion in the information management space, according to Gartner. Several vendors are marketing data lakes as an essential component to capitalise on big data opportunities, but there is little alignment between vendors about what comprises a data lake, or how to get value from it. ‘In broad terms, data lakes are marketed as enterprise-wide data management platforms for analysing disparate sources of data in its native format,’ said Nick Heudecker, research director at Gartner. ‘The idea is simple: instead of placing data in a purpose-built data store, you move it into a data lake in its original format. This eliminates the upfront costs of data ingestion, like transformation. Once data is placed into the lake, it’s available for analysis by everyone in the organisation’.”

Rossi continues, “However, while the marketing hype suggests audiences throughout an organisation will leverage data lakes, this positioning assumes that all those audiences are highly skilled at data manipulation and analysis, as data lakes lack semantic consistency and governed metadata. ‘The need for increased agility and accessibility for data analysis is the primary driver for data lakes,’ said Andrew White, VP and distinguished analyst at Gartner. ‘Nevertheless, while it is certainly true that data lakes can provide value to various parts of the organisation, the proposition of enterprise-wide data management has yet to be realised.’ Data lakes focus on storing disparate data and ignore how or why data is used, governed defined and secured. The concept hopes to solve two problems, one old and one new.”

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