Wednesday, November 29 | 1:00 PM - 3:00 PM ET
Join us for a 2-hour, hands-on, on-line workshop and see how Qlik’s Data Integration platform greatly accelerates creating analytics-friendly datasets for analysts and data scientists.
Key Workshop Take-aways:
- Learn how transactional data can be streamed into Snowflake, Redshift, or Synapse easily.
- Explore how to automate the modeling and transformation of that data for real-time analytics.
- Work with our visual design environment to customize and autogenerate ELT to update your warehouse in small increments throughout the day.
- Experience how easy it is to generate on-Demand, real-time, Data Marts.
- See how these analytic ready data sets can be published within your organization with Qlik’s data cataloguing solution.
Who should attend:
Anyone familiar with Data Warehousing or Analytics looking to automate their transition to the cloud; Enterprise architects, Data Engineers, DBA’s, and Business Intelligence professionals
Suggested Materials for Pre-Reading:
Space is limited, so please register today.
Registration closed
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Agenda
Registration
The Future of the Web: and how to prepare for it now
Samantha Jonson
Founder of Creative Agency
The Future of the Web: and how to prepare for it now
Samantha Jonson
Founder of Creative Agency
Lunch Break
Workshop: The Future of the Web: and how to prepare for it now
Samantha Jonson
Founder of Creative Agency
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About Qlik
Qlik, with the recent addition of Talend, delivers an industry leading portfolio of solutions for data integration, data quality, and analytics. This includes advancements in real-time, AI, ML, and automation. The most successful organizations are investing in data to make sense of the increasing amounts and varieties of data from diverse sources. The challenge is to effectively integrate, analyze, and act on the data while ensuring its trustworthiness. With more than 40,000 active customers in over 100 countries, Qlik’s solutions work with any data source, target, architecture or methodology, to ensure customers have the data they need, whenever they need it.
