Navigating Enterprise ELT towards Data Democracy and Cost Efficiency by Stellantis - dltHub Paris

Description:
Learn how Steallantis implemented data mesh approach in their complex enterprise ELT bringing data democracy and enabling Python users to be autonomous!

Speakers: Wang Chen, Joan Andre, Sebastien Clouet, Stellantis

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LLM Generated Description:

Revolutionize your data pipelines and achieve data democracy and cost efficiency with Stellantis' innovative ELT strategy using dlt and Snowflake. Discover how they streamlined a complex data environment post-merger by standardizing their data processes. This video, recorded at dltHub Paris, dives into Stellantis' integration of dlt and dbt, transforming their IT landscape for better governance, performance, and collaboration.

* Learn how Stellantis tackled diversity and complexity in their automotive data ecosystem post-merge of Fiat Chrysler and PSA, harnessing the power of dlt for seamless data extraction and loading.
* Understand the challenges of managing multiple ETLs across various regions and how dlt resolves this with its Python-first, open-source approach.
* Explore Stellantis' framework for integrating dlt with Snowflake, leading to 30-50% faster SQL extraction and significant reductions in development time.
* Dive into their Kubernetes-based deployment architecture, using GitHub Actions for CI/CD, ensuring easy integration and scalability without cloud provider lock-in.
* Discover the benefits of their unified framework for extract and load workflows, enabling rapid and cost-effective ELT pipeline deployment.
* Gain insights from real project metrics showing the impact of implementing dlt, with reduced costs and enhanced developer onboarding experiences.

For more about dlt's capabilities in integrating with Snowflake — https://dlthub.com/docs/dlt-ecosystem/destinations/snowflake and operating in production environments — https://dlthub.com/docs/running-in-production/running, explore the respective links.

*Related links*
Start here — https://dlthub.com/docs
BigQuery as a destination — https://dlthub.com/docs/dlt-ecosystem/destinations/bigquery
Transform with dbt — https://dlthub.com/docs/dlt-ecosystem/transformations/dbt
Deploy with Airflow — https://dlthub.com/docs/walkthroughs/deploy-a-pipeline/deploy-with-airflow-composer

Start using dlt today!
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