In the past, an entire organization could be supported with a single data pipeline: the data warehouse. Today, organizations are building multiple pipelines to support dozens of use cases, from reporting and self-service analytics to data science, machine learning, and real-time, customer-facing applications. Managing multiple data pipelines is a complex process that is further complicated with more data sources and targets than ever before. Adding to the management challenge, the range of data technologies available to collect, transform, manage, and deliver data has exploded and continues to evolve.
Join the Bloor Group for this weinar to examine the characteristics of modern data pipelines and provides a framework for building and managing them. It explores the role of DataOps and describes methods to automate the flow of data from source to target, increasing agility, efficiency, and accuracy.