Partner – Data Engineering | Head of AWS & GCP Big Data Engineering Practice at Tiger Analytics
Muthu is a Technical Partner with Tiger Analytics and he leads the AWS & GCP Big Data Engineering practice. He has worked on numerous big data implementations for global customers that include defining cutting edge data platform architecture, building state-of-the-art data lakes, analytical data stores, real-time streaming solutions, etc. He is passionate about keeping the solution design simple and practical, thereby keeping the cost low while striving to deliver better efficiency and time to market for our clients.
"A data lake is a very fundamental solution component in the digital transformation roadmap for most companies. But, ability to get data ready and available for generating insights in a governed manner is still one of the most complex, costly and time-consuming process. While data lakes have been in practice for many years now, newer tools and technologies are evolving and a new set of capabilities are added to data lakes to make them more cost effective and improve their adoption. This presentation is to cover some of the interesting trends that we see in the industry- * Self-service based Data Ingestion/Processing & Delivery, Analytics Workbench for business teams that are fully configurable * Automated Data Classification & PII Discovery * Low/No Code approach for data modernization & migration programs * Reduce time to market with virtual Lakehouse technologies * Next generation Data Observability solution * Platform Observability to monitor data platforms in centralized manner & respond."