State of Data Engineering
Join us as we discuss the current impact of Data Engineering and what the future holds.
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Event Type: Meetup
Chaos Engineering – Managing Stages in a Complex Data Flow
Learn how to apply the principles of chaos engineering to make more resilient data pipelines.
Data Lifecycle Management – Applying Engineering Best Practices for Data
Learn better Data Lifecycle Management practices with lakeFS
Level Up Your Lakehouse with Data Source Control & Cross Collection Consistency
Learn how to leverage Delta Lake and LakeFS to reach cross-collection consistency when operating on multi-statement transactions.
DevOps and Drinks: Ensuring data quality in a data lake environment with lakeFS
Learn how lakeFS simplifies maintaining high-quality data lakes in two ways: 1. by providing no-copy, isolated data development environments and 2. enabling CI/CD workflows that allow for automated testing of data.
DoK Talks 103: Performant and Version-Aware Analytics With Spark & lakeFS on K8s
Learn how running lakeFS on Kubernetes can bring a new level of scalability and resilience to data pipelines.
Building a Reliable Versioned Data Lake
Tal Sofer is presenting at the Milan Data Engineering Milan Meetup how by using versioning concepts, you can experiment safely, develop faster and ingest data seamlessly.
How to Gracefully Scale a Data Lake
Paul Singman joins the Utah Data Engineering Meetup to discuss best practices for managing large-scale data lakes.
Data Product Versioning – An Overview w/ OSS Projects lakeFS and TerminusDB
Data Mesh Learning Meetup Global on data product versioning with lakeFS and TerminusDB
DoK Talks #73- Build Reproducible Experiments
Learn how to build ML workflows that are portable, scalable, and reproducible by integrating lakeFS operations into your Kubeflow pipeline components
