2017, Data Governance, Experimentation and Metadata

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Sanjeev Mohan

FEBRUARY 6, 2019

I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. Fast forward to early 2017. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance.

Data Analytics

Data Analytics Analytics Data Governance Experimentation

Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. A Program Synthesis Primer ” – Aws Albarghouthi (2017-04-24). Model-Driven Data Queries.

Metadata

Metadata Machine Learning Data Science Data-driven

Data Leaders Brief

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Themes and Conferences per Pacoid, Episode 11

Webinars

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