Are you a data professional wondering how to link systems together to unblock data pipelines and tap into the value of your data?
Join us for this Lunch & Learn series for the answers. We will cover a whole range of scenarios and explore how StreamSets can help you deliver production-ready data faster, consistently.
This series is by practitioners for practitioners. We’ll dive right into technologies, connectors, and processors relevant to each topic and show you how to build and operate pipelines. Sessions will be interactive so that you get all your questions answered by the experts! And best of all, you can take away a working set of data pipelines to run immediately on the free StreamSets DataOps Platform.
Session Schedule
Here’s what’s up this month. Check back for updates since we will continue adding to the schedule in the coming months!
All session times are 12:00 BST.
|
Event
|
Date |
Topic |
|
1 |
25-May |
Building ETL Pipelines on Google Cloud – feeding a Cloud Storage data lake and using Dataproc to perform ETL to feed a BigQuery warehouse |
|
2 |
1-June |
DataOps – automating Data Integration CI/CD pipelines to streamline the dev to prod lifecycle |
|
3 |
8-June |
Make light work of complex ETL and ELT processing in the Snowflake Data Warehouse with Transformer for Snowflake |
|
4 |
15-June |
Extracting CDC data from Postgres and feeding real-time data warehouses |
|
5 |
22-June |
Feeding a Lakehouse - Integration with Databricks |
|
6 |
29-June |
Identity Resolution on Spark - how to match customer records at scale |
|
7 |
6-July |
Reverse ETL - exploiting high-quality data from your data warehouse in your operational systems |
|
8 |
13-July |
Building low-code ETL pipelines on Spark |
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WYND’s DataOps Journey with StreamSets
Speaker: CDO from Thematic Groupe [WYND]
When: March 9th at 10h30
Where: TBD
[Add to calendar]
Attend StreamSets’ CEO’s keynote at the main stage
DataOps: A Paradigm Shift for Modern Data Integration
Speaker: Girish Pancha, CEO and Co-Founder, StreamSets
When: TBD
Where: Business Track Stage
[Add to calendar]
Schedule your demo at Big Data Paris today
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Lorem ipsum dolor sit amet consectetur adipisicing elit. Eveniet itaque nesciunt sit quos nostrum maiores culpa autem cupiditate. Dolore veniam repellat nemo et quod tempora dicta sunt illum alias sed!
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