Data Engineering Concepts

Est. audience

100

Apple rating

0 from 0

Cadence

Weekly

Latest

2026-10-29

By

Dmitrii Polovinkin

Based on

8 recent episodes

• Covers: Core data engineering concepts, database design, replication strategies, distributed systems theory, and data architecture frameworks.
• For: Data engineers, software developers, and technical architects building modern data systems.
• Best for: Data engineers looking to deepen their technical architecture and systems design knowledge.
• Skip if: Non-technical business managers or general consumers seeking basic tech overviews.

Start with

• Database Replication Explained: Types, Strategies & Trade-offs: Explains replication approaches for high availability, scaling read workloads, and resilient architectures.
• Medallion Architecture Explained: Breaks down Bronze, Silver, and Gold data layers for modern data platforms.
• Data Systems Requirements: What to Define Before You Build: Details essential technical requirements including latency, throughput, RTO/RPO, compliance, and budget.

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Summarised by AI from 8 recent episodes. Audience estimate and Apple rating from Podscan, checked 2026-11-03; treat the estimate as a guide and ask the show for its own numbers. Prices are not included. Report a mistake.