Why You Should Be Using (CDC) Change Data Capture for Ingestion with Datacoral

Building the Backend: Data Solutions that Power Leading Organizations

İçerik Travis Lawrence tarafından sağlanmıştır. Bölümler, grafikler ve podcast açıklamaları dahil tüm podcast içeriği doğrudan Travis Lawrence veya podcast platform ortağı tarafından yüklenir ve sağlanır. Birinin telif hakkıyla korunan çalışmanızı izniniz olmadan kullandığını düşünüyorsanız burada https://tr.player.fm/legal özetlenen süreci takip edebilirsiniz.

3y ago 40:47

MP3•Bölüm sayfası

In this episode, we speak with Raghu Murthy. He is the founder of Datacoral, which provides serverless architectures that support data pipelines and orchestration to facilitate ELT into your Data Warehouse. Prior to founding Datacoral he was at Yahoo, Facebook and was part of the initial team that developed Hive. In this episode we will explore the best patterns for ingesting operational data into your data warehouse, creating metadata first architectures and the role Datacoral serves.

Top 3 Value Bombs:

If you're migrating relational data that supports CDC, you should be using CDC to migrate it for the majority of use cases.
ELT/ETL pipelines should be orchestrated by a metadata first style architecture.
Consumers of the DW, should be notified if data is incomplete.

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