Building a data lake can be a headache. More often than not, they end up becoming data swamps—bottomless pits that suck up development resources and obscure data transparency. But when done correctly, data lakes can be valuable wells of knowledge that transform your business. Join Etleap and the Amazon Redshift team as we take a deep dive into the issues that plague data lake creators. We give you five refreshing pointers for keeping the development workload sustainable and ensuring data usability for the long term. This presentation is brought to you by Etleap, an APN Partner.
Building a data lake can be a headache. More often than not, they end up becoming data swamps—bottomless pits that suck up development resources and obscure data transparency. But when done correctly, data lakes can be valuable wells of knowledge that transform your business. Join Etleap and the Amazon Redshift team as we take a deep dive into the issues that plague data lake creators. We give you five refreshing pointers for keeping the development workload sustainable and ensuring data usability for the long term. This presentation is brought to you by Etleap, an APN Partner.
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