Modernizing the Analytics Data Pipeline

To make the most of their investments in analytics and data, organizations must continue to modernize these pipelines. Explore how forward-looking businesses build agile, scalable, and manageable analytics data pipelines. We discuss key strategies such as:
• Automating data engineering and data science workflows for greater scalability, repeatability, consistency, and transparency
• Accelerating data preparation, model training, and other pipeline workloads through real-time replication and change data capture
• Augmenting the productivity of data management and analytics teams through investments in data catalogs
• Migrating data to data lakehouses, distributed data meshes, virtualized data fabrics, and other cloud-based pipeline environments.
Anand Rao, Product Marketing Director for Qlik will be joined by James Kobielus, Senior Research Director, Data Management at TDWI Research.