High-quality data is the heart of modern business. It is the essential ingredient in products and services of every type, ranging from the unstructured data needed to build and train artificial intelligence (AI) apps to the “single version of the truth” relational data that drives optimized decisions in every business context.
Robust data engineering processes ensure that data is accurate, relevant, and easily scalable to operationalize regular, ad hoc, and advanced analytics. To realize this value, organizations are implementing cloud-based pipelines that automate ingestion, transformation, cleansing, consolidation, governance, and other key data engineering processes. They are also building end-to-end data engineering pipelines that scale as workloads expand, integrate batch and streaming processes, feed both data warehouses and data lakes, and span decentralized cloud environments of increasing complexity.
Join TDWI’s senior research director James Kobielus on this webinar to explore the challenges and benefits of implementing robust data engineering “supply chains” in the cloud. Attendees will learn the following best practices for deploying robust data engineering pipelines in the next-generation cloud:
Date: May 25, 2021
Time: 9:00AM PT
Individual, Student, and Team memberships available.