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Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. At what point does a lack of an explicit governance policy become a liability?

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Toward a Data Mesh (part 2) : Architecture & Technologies

François Nguyen

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? How do we govern all these data products and domains ? And of course, because everything is code, you have all the devops tools.

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DataOps Framework: 4 Key Components and How to Implement Them

Databand.ai

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. GDPR, HIPAA), and industry standards.

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ETL for Snowflake: Why You Need It and How to Get Started

Ascend.io

That’s what we call a data pipeline. Zero-Copy Cloning : Instantly creates data clones without duplication, allowing for rapid development, testing, and data manipulation without the overhead of data replication. that you can combine to create custom data workflows.

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Better Data Quality Through Observability With Monte Carlo

Data Engineering Podcast

Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud. What is "data downtime"?

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Big Data (Quality), Small Data Team: How Prefect Saved 20 Hours Per Week with Data Observability

Monte Carlo

Here’s how Prefect , Series B startup and creator of the popular data orchestration tool, harnessed the power of data observability to preserve headcount, improve data quality and reduce time to detection and resolution for data incidents. Scaling data governance.