Data Compression in SQL In this post, we’ll explore: - What is Data Compression? - Benefits of Data Compression in SQL. - Types of Compression in SQL. - Comparison of SQL Compression Techniques. - When to Use Compression and When to Avoid. #databs #datasky

Explore key data modelling concepts for databases and data warehouses, including: - Normalisation vs. Denormalisation - 3NF - Dimensional Modeling - Star vs. Snowflake Schema comparisons. #databs #datasky

11 Storage Formats for Data Engineers Efficient data starts with the right storage format. Explore 11 formats every data engineer should know to match workloads and scale seamlessly. Highlights: Row & Columnar, Key-Value, Document, Graph, Time-Series, Hybrid. #databs #datasky

Week 6 of '100 Days of SQL Optimisation': Focused on DuckDB, leveraging columnar storage, sorted data, temp tables, Parquet, and optimal data types to boost efficiency. See how in-memory execution and smart structures enhance query performance! @duckdb.org #dataBS #datasky #duckdb

We are starting a 32-week Data Engineering Interview Guide program, covering everything from fundamentals to advanced topics, with sessions every Saturday. Do you think we're missing any critical topics? We're curious about your opinions😊 #dataBS #datasky

As a Data Engineer, understanding the data storage lifecycle and data retention policies is critical for designing efficient, cost-effective, and compliant data systems. @joereis.bsky.social #dataBS #datasky substack.com/@pipeline2in...

In our new post, we've covered 10 of the most popular data pipeline design patterns. We’d love to hear your thoughts. For more details, please check out the full post created by (@hgeren.bsky.social and @hopefanhe.bsky.social ): open.substack.com/pub/pipeline... #dataBS #datasky

Discover how dlt simplifies data ingestion. Learn its origins and real-world use cases. Follow a step-by-step guide to build your first pipeline and join the growing dlt community! @matthausk.bsky.social @datateam.bsky.social @hgeren.bsky.social @hopefanhe.bsky.social #dataBS #datasky

Storage is at the heart of Data Engineering. In this post, we explore the hierarchy of data storage from the ground up, drawing inspiration from Fundamentals of Data Engineering by @joereis.bsky.social and Matt Housley, as well as insights from the DE Professionals on Coursera. #dataBS #datasky

My curiosity about the data life cycle led me to explore Data Engineering.Reading Fundamentals of DE book built my foundation, while pioneers like Zach Wilson and Joe Reis inspired me. Community engagement was key to my success, enabling learning, sharing,and growth in this journey. #databs #datasky

Hey #dataBS and #datasky folks, Our new post about "how understanding Big O Notation & Execution Plans can optimize SQL queries" has just been posted. Check it out if you're interested, and we'd love to hear your thoughts! @hopefanhe.bsky.social open.substack.com/pub/pipeline...

The last step in the data engineering lifecycle is serving data, making it accessible for analytics, machine learning, and Reverse ETL. In our latest post, we break down how data engineers play a crucial role in: - Analytics - ML - Reverse ETL #databs #datasky open.substack.com/pub/pipeline...

Free 6-week Bootcamp with new video every day from November 15th to December 31st 2024 by @eczachly.bsky.social Watch the launch video here:https://www.youtube.com/watch?v=myhe0LXpCeo Don’t miss it Thank you Zach 🙏 #dataBS #datasky

Week 1 of "100 Days of SQL Optimisation" covered key techniques like column selection, multicolumn indexes, filtering, window functions, Rank, CTE and composite indexes with IMDb data. Check out the full post for more! @hgeren.bsky.social #dataBS #datasky