How California State University used DataOps Principles to Build Data Pipelines

Talk by Subash DSouza
www.socallinux...
Though we have in the past depended on traditional data warehouses to drive business intelligence from data, they were generally based on databases and structured data formats and proved insufficient for the challenges that the current data-driven world faces. Enter data lakes, which are optimized for unstructured and semistructured data, can scale to petabytes easily, and allow better integration of a wide range of tools to help businesses get the most out of their data.