Connect with a global community of data experts to share and learn about data products, platforms & all things modern data!
Managed by team at @TheModernDataCo
๐ Introducing Modern Data 101
This is the beginning of the X page for Modern Data 101โyour go to community for all things modern data.
Our mission is simple: to empower data practitioners and leaders like you to extract unparalleled value from your data. Get more details ๐
๐ Two Archetypes Of Data Engineers
Kirill Bobrov explores the two main types of data engineers: the "businessy" & "techy" archetypes. Businessy focus on solving business problems, while Techy specialize in scalable infrastructure.
Read more: https://t.co/lH9BYZ4UR7
๐ Data Modelling Fundamentals: Normalisation, 3NF & Dimensional Modelling
Pipelines to Insights Managed by Erfan Hesami & Hasan Geren explains key concepts in DB & data warehouse design. They contrasts normalisation with denormalisation.
Read more: https://t.co/aOrgBLfu99
๐Boost Your Big Data Workflow
@anil_ozturkk explores leveraging Polars, a Rust-based DataFrame library, to optimize big data workflows. Polars offers multi-threaded processing, memory efficiency, & lazy evaluation.
Read more: https://t.co/gk1N7RxGJU
๐C4 Modelling for Data Teams
Andy Sawyer introduces the C4 model as a framework to simplify complex data architecture discussions. Originally developed for software systems, C4 model uses 4 layers-context, containers, components, & code.
Read more: https://t.co/OWg8SO5bB3
Discover a curated selection of top-notch data resources on the MD101 community website's resources page.
Modern data resources: https://t.co/5j6Gk7qO2F
Check the for this week's top picks!
๐ How to build scalable data lakes with Apache Iceberg
@zachly explores the transformative potential of Apache Iceberg in building scalable data lakes. He highlights Iceberg's ability to support low-latency use cases.
Read more: https://t.co/TPm2v8z4HV
๐ Let's build a data platform like Spotify!
Vu Trinh explores Spotify's approach to building a robust data platform to process over 1 trillion daily events. He highlights Spotify's transition from an on-premises infrastructure to Google Cloud
Read more: https://t.co/UsnMSehpKA
Why Should You Care About Vector Databases in the GenAI Era?
Hereโs a stat to chew on: the global Vector DB market is projected to hit $6.4B by 2030, growing at an incredible 22.3% CAGR โit's a sign of a seismic shift in how we handle data. But what's driving this growth? ๐งต
The global marketโs explosive growth reflects this reality: the future of AI innovation runs on Vector DBs. As we push the boundaries of AI, their importance will only grow. Are you ready for the vector revolution?
๐Data expert of the week: @AdiPolak๐
Adi Polak, a catalyst for innovation in data streaming, AI, and developer advocacy. Adi has spent a better part of her career turning data into solutions.
Thought Leadership - Beyond her advocacy, Adi shares her expertise through blogs, podcasts, and data conferences. With a strong presence on LinkedIn and X, she offers insights on best practices and emerging trends in data, AI, and tech.