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Low Friction Data Governance With Immuta

Data Engineering Podcast

Summary Data governance is a term that encompasses a wide range of responsibilities, both technical and process oriented. One of the more complex aspects is that of access control to the data assets that an organization is responsible for managing. What is data governance? How is the Immuta platform architected?

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Revisit The Fundamental Principles Of Working With Data To Avoid Getting Caught In The Hype Cycle

Data Engineering Podcast

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Lake 100
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The Annual State of Data Quality Survey

Monte Carlo

Respondents averaged 642 tables across their data lake, lakehouse, or warehouse environments. Respondents averaged 290 manually-written tests across their data pipelines. Check out the full report , including commentary and reactions from nearly a dozen industry-leading data executives.

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Shining A Light on Shadow IT In Data And Analytics

Data Engineering Podcast

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. Set up a demo and mention you’re a listener for a special offer!

IT 100
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Data Mesh vs. Data Fabric: Which One Is Right for You?

Ascend.io

With the monolithic architectures most organizations have today, business users are stuck, constantly waiting for new data pipelines to be built or amended based on their requests. Data engineers aren’t huge fans of this paradigm either. But they’re living in what is essentially the opposite of their fantasy.

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The Good and the Bad of Databricks Lakehouse Platform

AltexSoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64
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Improve Your Customer Data Platform with DataOS®

The Modern Data Company

Because DataOS connects to everything in the data stack, no data goes unnoticed. Leaders Can Easily Bring the CDP Under Federated Governance CDPs ingest data through both governed and ungoverned channels. As a result, CDPs may be less secure than other data stores even though they hold a lot of customer PII.