Data quality control framework for enterprise data lakes
How to monitor and maintain data quality for enterprise data lakes (methods, process flow, setup). Stop your data lake from getting swamped....
Learn moreData engineering and analytics are mission-critical capabilities in any modern enterprise. At Grid Dynamics, we help our clients to develop state-of-the-art data lakes, in-stream processing pipelines, coordinate data modeling in software engineering, analyze omnichannel commerce metrics that matter at large scale, and much more. These data capabilities enable the development of customer intelligence reporting platforms, advanced supply chain pricing strategies, and many other business use cases. We present our research and case studies on these topics in this section of our Insights portal.
Discover the essential role of LLMOps in scaling GenAI solutions and how to migrate pilot projects to a robust LLMOps platform. Explore technical foundations, guardrails, and implementation insights for closed-source LLMs....