Data Engineering

87 articles tagged with "Data Engineering"

ETL vs ELT: Pros, Cons, and Use Cases

Quickly compare ETL and ELT: when to transform data, plus trade-offs in cost, security, scalability, and use cases.

July 29, 2026⦁ 8 min read

Data Engineering

AWS Data Engineer Practice Questions Explained

Matching AWS services to workload beats memorization—use access pattern, latency, and control to choose S3, Glue, Redshift, or Athena.

July 28, 2026⦁ 13 min read

Data Engineering

Ultimate Guide to Data Storytelling with Dashboards

Turn dashboards into decision tools: start with one business question, design for one audience, show the insight and next steps.

July 28, 2026⦁ 10 min read

Data Engineering

Scaling Self-Service Analytics with Databricks

Standardize Gold tables, Unity Catalog metric views, and SQL Warehouses to deliver governed, consistent self-service analytics and BI access.

July 27, 2026⦁ 10 min read

Data Engineering

Case Study: Caching with Databricks for Faster Analytics

Cut scans from 2.3TB to 8GB and reduce compute costs 73% using Disk Cache, Spark cache, SQL result cache and improved file layout.

July 25, 2026⦁ 8 min read

Data Engineering

Git Workflows for Data Teams

Use one Git branch model, short-lived branches with reviews and CI, map Dev/Stage/Prod, and keep notebooks and large files out of Git.

July 22, 2026⦁ 9 min read

Data Engineering

Top Tools for Data Lakehouse and Data Warehouse

Choose a lakehouse for unified SQL, ML, and streaming - use open formats and governance to avoid lock-in and control costs.

June 10, 2026⦁ 13 min read

Data Engineering

Caching with Redis: Best Practices for Engineers

Practical Redis caching guide: design keys, set TTLs with jitter, choose eviction policies, monitor, scale, and secure production caches.

June 10, 2026⦁ 14 min read

Data Engineering

How to Monitor Security in Databricks Lakehouses

Use Unity Catalog, system tables, SAT, and SIEM integrations to monitor lakehouse security, detect threats, and automate response.

June 9, 2026⦁ 14 min read

Data Engineering

Snowflake for Data Retention: Best Practices

Set Time Travel, Fail-safe, storage tiers and lifecycle policies to balance compliance, recovery, and storage cost in Snowflake.

June 9, 2026⦁ 10 min read

Data Engineering

ETL Pipeline Benchmarking: Metrics to Track

Measuring the right ETL metrics—throughput, freshness, quality, cost, and scalability—prevents silent failures and runaway cloud spend.

June 8, 2026⦁ 15 min read

Data Engineering

Managing Domain Events in Event-Driven Architectures

Treat domain events as versioned API contracts—design for consumers, use outbox/CDC for reliable delivery, and enforce clear ownership.

June 8, 2026⦁ 14 min read

Data Engineering