
Data lakes began to emerge 10 years ago in response to the desire for analytic data platforms that could economically store and process large volumes of raw data. These platforms access data from multiple operational applications in a variety of formats to be queried by multiple business departments for a variety of analytic workloads.
Read MoreTopics: business intelligence, Cloud Computing, Data Governance, Data Management, analytic data platforms, Analytics and Data, AI and Machine Learning