Modernizing ETL for Faster Cloud Data Migration
Webinar Speaker: David Stodder, Senior Director of Research for BI, TDWI
Date: Tuesday, April 5, 2022
Time: 9:00 a.m. PT, 12:00 p.m. ET
Cloud migration is a top priority for most organizations today. However, a major barrier to rapid and transformative migration is the thousands of time-consuming and costly ETL jobs. As data sources and volumes increase exponentially, the need for efficient extract, transform, and load (ETL) processes is greater than ever. Cloud data warehousing depends on fast, reliable ETL for structuring, cleansing, validating, and enriching data for analytics.
Legacy ETL platforms and processes are often brittle, slow, hard to change, expensive, and poorly documented. Conversion becomes a serious challenge when organizations must migrate data, applications, or databases to a cloud-native data warehouse. Modern ETL services and tools are designed to leverage the cloud and its unlimited compute and capacity.
Join this TDWI Webinar to learn how you can achieve faster, more consistent, and more scalable conversion and modernization of ETL for cloud migration. Our discussion will include speakers from TDWI, Wavicle Data Solutions, and AWS to discuss current trends in technologies and best practices for reducing bottlenecks and eliminating delays and errors.
- Strategies for ETL modernization for faster cloud migration and reducing costs
- Using serverless data integration services to make it easier to discover, prepare, and combine data for analytics, machine learning, and application development
- Practices for overcoming the complexity of understanding current ETL jobs, performing code conversion and mapping, and testing and validating new processes
- Automation for streamlining conversion and improving scalability
Big Data Lead
Wavicle Data Solutions
Ranjith Ramachandran, an enterprise solutions architect at Wavicle Data Solutions, has more than 17 years of experience working with complex systems, data analytics, and various cloud architectures. Ranjith is an expert in automation and integration solutions in support of customer relationship management (CRM) and other business functions. He contributes to the data, analytics, cloud, AI, and ML communities through mentoring, publications, and webinars. Ranjith holds a Master degree in Data science and is a recipient of AI business strategies and applications executive immersion program from UC Berkeley.
Shiv Narayanan is a Product Manager with AWS Glue with over 20 years of data integration and data management experience.