Six Guiding Principles for Effective Data Lake Pipelines

Data lakes have emerged as a primary platform on which data architects can harness Big Data and enable analytics for data scientists, analysts and decision makers. Download this white paper to learn the six core principles that successful IT organizations adopt to address common data lake challenges.

Research conducted by TDWI found that approximately one quarter (23%) of organizations surveyed already have a production data lake, and another quarter (24%) expect to have a data lake in production within twelve months (source: Data Lakes: Purposes, Practices, Patterns and Platforms. TDWI, 2017). Clearly, enterprises are rapidly turning to Data Lakes – both on premises and in the cloud – as the preferred repository for storing and processing data for analytics.