On the Mark Data (@onthemarkdata) 's Twitter Profile
On the Mark Data

@onthemarkdata

Helping brands connect to data professionals through captivating content.

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linkhttp://onthemarkdata.com calendar_today04-10-2022 04:52:08

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On the Mark Data (@onthemarkdata) 's Twitter Profile Photo

Roses are red Violets are blue Ruin a data engineer's day With a DROP TABLE issue ❤️ #ValentinesDay #data #datascience #dataengineering #sql

On the Mark Data (@onthemarkdata) 's Twitter Profile Photo

Scaling DataOps Newsletter: SDO 015 - The Unexpected Data Challenges Faced by AI Researchers - Jazmia Henry scalingdataops.substack.com/p/sdo-015-the-…

On the Mark Data (@onthemarkdata) 's Twitter Profile Photo

Scaling DataOps Newsletter: SDO 016 - Navigating Uncertain Markets as a Data Leader - Ethan Aaron scalingdataops.substack.com/p/sdo-016-navi…

On the Mark Data (@onthemarkdata) 's Twitter Profile Photo

My interview with Matt Turck is now live on The Scaling DataOps Newsletter! In this edition we talk about: 📌 Trends in the potential down market. 📌 What he is excited to invest in. 📌 How he has grown a top data community for 10+ years. #vc #data open.substack.com/pub/scalingdat…

FeatureformML (@featureformml) 's Twitter Profile Photo

💡 What does it mean to treat #data as a product and not as an asset? On the Mark Data shares his thoughts from the MLOps Weekly Podcast in the clip below! 👇

On the Mark Data (@onthemarkdata) 's Twitter Profile Photo

Scaling DataOps Newsletter: SDO Opinion - Do we really need so many data companies? - Mark Freeman scalingdataops.substack.com/p/sdo-opinion-…

Gable Data (@gableai) 's Twitter Profile Photo

AI today is similar to the rise of "big data" a few years ago-- everyone is talking about it, but few are actually capitalizing on its power. One of the main blockers to an organization successfully using AI is their data quality. It's the classic "garbage in, garbage out"

AI today is similar to the rise of "big data" a few years ago-- everyone is talking about it, but few are actually capitalizing on its power.

One of the main blockers to an organization successfully using AI is their data quality. It's the classic "garbage in, garbage out"
Gable Data (@gableai) 's Twitter Profile Photo

Snowflake: 🗣️ APACHE ICEBERG Databricks: 🗣️ APACHE ICEBERG Data Engineers: 🫨 Wait... another technology!? It's not just generative AI that the data world is excited about. A few days ago Snowflake announced Polaris, a vendor-neutral open catalog implementation for Apache

Snowflake: 🗣️ APACHE ICEBERG
Databricks: 🗣️ APACHE ICEBERG
Data Engineers: 🫨 Wait... another technology!?

It's not just generative AI that the data world is excited about. A few days ago Snowflake announced Polaris, a vendor-neutral open catalog implementation for Apache
Gable Data (@gableai) 's Twitter Profile Photo

Downstream data teams feel the pain of upstream data quality issues immensely... but are scared of addressing it... "This is just how things are, we can't fix this." "The upstream engineering team doesn't care." "They would never allow us to additional CI/CD tests." Yet

Downstream data teams feel the pain of upstream data quality issues immensely... but are scared of addressing it...

"This is just how things are, we can't fix this."
"The upstream engineering team doesn't care."
"They would never allow us to additional CI/CD tests."

Yet
On the Mark Data (@onthemarkdata) 's Twitter Profile Photo

Been quiet lately as I've been heads down writing this book. Just the process of this endeavor has made me a much better engineer. #data #dataengineering #datascience #ai

Mark Freeman (@agent_mark_data) 's Twitter Profile Photo

Data contracts are the cornerstone of implementing a shift-left approach to data. But what are the components of this architecture? 🧵 Below... #SWE #SoftwareEngineering #DataEngineering [1/7]

Data contracts are the cornerstone of implementing a shift-left approach to data. But what are the components of this architecture?

🧵 Below...

#SWE #SoftwareEngineering #DataEngineering

[1/7]