Remove blogs reflections-on-data-literacy
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#ClouderaLife Volunteer Spotlight: Alex Campos, Principal Technical Leader, Spain

Cloudera

My goal was to create a space for data enthusiasts in Latin America to share knowledge with others.” Alex and Max teamed up with Federico to launch a big data conference chapter in Buenos Aires, Argentina, with over 400 attendees. He started delivering more content on data to local universities. It was amazing!

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How data literacy gives leaders the edge by Jessica McEvoy

Scott Logic

Over the summer, in partnership with Scott Logic, the Institute for Government (IfG) ran a series of roundtable discussions with senior civil servants and government experts on the topic of Data Sharing in Government. This is the third in a series of blog posts in which I reflect on the key themes that came out of those discussions.

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Address Organizational Issues When Weaving the Data Mesh

Snowflake

Now think of the growing demand for data and insights. Traditionally, organizations relied on central data teams, often residing within IT, to build data pipelines and deliver data—or even central analytics teams to deliver the insights themselves. The data mesh paradigm establishes guardrails.

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Why rapid collaboration needs careful preparation by Jessica McEvoy

Scott Logic

Over the summer, in partnership with Scott Logic, the Institute for Government (IfG) ran a series of roundtable discussions with senior civil servants and government experts on the topic of Data Sharing in Government. This is the fourth in a series of blog posts in which I reflect on those discussions.

Food 40
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The Future of Data Engineering as a Data Engineer

Monte Carlo

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. One of the first data engineers at Facebook and Airbnb, he wrote and open sourced the wildly popular orchestrator, Apache Airflow , followed shortly thereafter by Apache Superset , a data exploration tool that’s taking the data viz landscape by storm.

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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits.