Modern Data 101

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

[Modern Data 101 @ModernData101]

🎉 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 👇

[Modern Data 101 @ModernData101]

🚀 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

[Modern Data 101 @ModernData101]

🚀 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

[Modern Data 101 @ModernData101]

🚀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: https://t.co/gk1N7RxGJU

[Modern Data 101 @ModernData101]

🚀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: https://t.co/OWg8SO5bB3

[Modern Data 101 @ModernData101]

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!

[Modern Data 101 @ModernData101]

🚀 How to build scalable data lakes with Apache Iceberg

@EcZachly 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

[Modern Data 101 @ModernData101]

🚀 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

[Modern Data 101 @ModernData101]

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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? 🧵

[Modern Data 101 @ModernData101]

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?

[Modern Data 101 @ModernData101]

Ready to level up your data game?

Join the community & stay ahead of the curve:

https://t.co/cpQN0yTsLS

[Modern Data 101 @ModernData101]

🌟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.

[Modern Data 101 @ModernData101]

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.