This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
https://www.dataengineeringpodcast.com
Gesamtlänge aller Episoden: 16 days 1 hour 36 minutes
Building A Cost Effective Data Catalog With Tree Schema
An interview about the Tree Schema data catalog platform and using it to quickly get visibility into your data assets.
Add Version Control To Your Data Lake With LakeFS
An interview with the creators of LakeFS about how it adds branching and merging capabilities to your data lake for safer and easier integration of new sources and pipelines.
Cloud Native Data Security As Code With Cyral
An interview about the Cyral platform and how it enforces data security as code for protecting databases and object storage in the cloud.
Better Data Quality Through Observability With Monte Carlo
An interview with the founders of Monte Carlo about how observability of your data platform contributes to higher data quality and reduces data downtime.
Rapid Delivery Of Business Intelligence Using Power BI
An interview with Rob Collie about his work building and supporting the Power BI platform at Microsoft and Power Pivot Pro, and why he considers it to be the best option for business intelligence today.
Self Service Real Time Data Integration Without The Headaches With Meroxa
An interview with the co-founders of Meroxa about their work to build a self service data integration platform that is easy to implement and scale for end users.
Speed Up And Simplify Your Streaming Data Workloads With Red Panda
An interview with Vectorized founder Alexander Gallego about the Red Panda streaming engine and building a drop-in replacement for Kafka with better performance and throughput.
Cutting Through The Noise And Focusing On The Fundamentals Of Data Engineering With The Data Janitor
In this episode Daniel Molnar shares his experiences as a data janitor and the foundational elements of data engineering, as well as his work to build a practical bootcamp for data engineers.
Distributed In Memory Processing And Streaming With Hazelcast
An interview about the Hazelcast in memory processing grid and the Jet streaming engine that was built on top of it and the use cases that they unlock.
Simplify Your Data Architecture With The Presto Distributed SQL Engine
An interview with Martin Traverso about how the Presto distributed SQL engine reduces complexity and increases flexibility for analytical workloads across heterogeneous data sources at scale.