A Data Lake is a central repository that allows structured and unstructured data to be stored at any scale. A Data Warehouse, by contrast, is a system that helps analyze, report, and visualize data to make better decisions.
Data has become one of the most important assets of companies in the digital age; However, the concept of “Data” is so new and broad that even experts in this field approach it with very different definitions and perspectives.
As difficult as it is for data scientists to label data and develop accurate Machine Learning Models, managing models in production can be even more daunting.
Big Data Analytics uses advanced analytical techniques against massive, diverse datasets from different sources and contains structured, semi–structured, and unstructured data of varying sizes from terabytes to zettabytes.