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
Internet
Joined October 2023
- Tweets1.4K
- Following1
- Followers83
- Likes34
Pinned Tweet
🎉 Introducing Modern Data 101
This is the beginning of the X page for Modern Data 101—your 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 👇
🚀 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: tinyurl.com/bdcnc34p
🚀 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: tinyurl.com/yc48wxe6
🚀Boost 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: tinyurl.com/4zrduwj7
Discover a curated selection of top-notch data resources on the MD101 community website's resources page.
Modern data resources: moderndata101.com/resources
Check the for this week's top picks!
🚀C4 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: tinyurl.com/3f3drxjj
🚀 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: tinyurl.com/bp7cwtw3
🚀 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: tinyurl.com/yc65yxus
Why Should You Care About Vector Databases in the GenAI Era?
Here’s 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 —it's a sign of a seismic shift in how we handle data. But what's driving this growth? 🧵
The global market’s 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?
🌟Data expert of the week: @AdiPolak🌟
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.
Ready to level up your data game?
Join the community & stay ahead of the curve:
moderndata101.com/network
