Workshop: Data Warehouse Automation

 Wednesday, January 6, 2021 | 2:00 PM - 4:00 PM EST


Join us for a 2-hour, hands-on, on-line workshop and see how Qlik’s Data Integration platform greatly accelerates your organization’s transition to cloud analytics.

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, DataMarts.
  • 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

The workshop is free, but space is limited so please register today.

Suggested Materials for Pre-Reading:

Registration is closed

Agenda


Cloud Warehouse Automation Workshop
20 minutes
QDI Platform Overview, Workshop Overview
20 minutes Stream data from OLTP to an EDW»

Configure and run a CDC streaming task from OLTP to EDW. 

25 minutes
Model and deploy your EDW »

Reverse engineer OLTP source(s) to help create an EDW Data Model and create the EDW.

15 minutes
ELT Code Generation »

Auto-generate and run ELT code to populate the EDW in batch and in small increments throughout the day. 

15 minutes
Provision real-time Data Marts »

Use a wizard to easily provision real-time DataMarts. 

10 minutes
Stream committed transactions through to your Data Mart »

Execute an OLTP transaction and follow it through to the DataMart.

5 minutes Publish Data Marts to the Qlik Data Catalogue »

Publish your DataMart to the enterprise with Qlik Catalog. 

10 minutes
Q&A

 

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Questions? Please contact Cour[email protected]