As organizations look to perform more advanced analytics, they often struggle to build a modern infrastructure to support analytics-ready data. There are numerous reasons for this, including new data sources to integrate, more complex data, and manual pipelines that can be hard to build and fraught with error. Many organizations are looking to automate portions of their data management infrastructure, from data ingest to building a data warehouse or a data lake that supports analytics.
Sign up to attend this free Virtual Solution Spotlight. Attendees will learn what is possible with automation across the data and analytics life cycle. This includes automating the data ingestion process, automating the data warehouse, and tools that help to improve trust and productivity, such as utilizing a data catalog as part of the life cycle.
Hear from Fern Halper, Ph.D., VP and senior director of research for advanced analytics at TDWI, plus expert speakers from Qlik.
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