article thumbnail

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 ? As you can see, this is in the code part where you are building your data pipelines, a misnomer because this is an over simplification.

article thumbnail

DataOps Architecture: 5 Key Components and How to Get Started

Databand.ai

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

DataOps Framework: 4 Key Components and How to Implement Them

Databand.ai

DataOps practices help organizations establish robust data governance policies and procedures, ensuring that data is consistently validated, cleansed, and transformed to meet the needs of various stakeholders. One key aspect of data orchestration is the automation of data pipeline tasks.

article thumbnail

How Fox Facilitates Data Trust with Governance and Monte Carlo

Monte Carlo

Factor in the advertising strategies, media production, partner programming, audience analytics…and you’re looking at an ocean of data that would fill even the deepest trench (we’d like a television show about that too, please!). So how does Fox’s data strategy support these complex data workflows? Build what you want.

article thumbnail

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.

article thumbnail

Bringing The Power Of The DataHub Real-Time Metadata Graph To Everyone At Acryl Data

Data Engineering Podcast

Your host is Tobias Macey and today I’m interviewing Shirshanka Das and Swaroop Jagadish about Acryl Data, the company driving the open source metadata project DataHub for powering data discovery, data observability and federated data governance. Can you describe what Acryl Data is and the story behind it?

Metadata 100
article thumbnail

Put Your Whole Data Team On The Same Page With Atlan

Data Engineering Podcast

What portions of the data workflow is Atlan responsible for? What components of the data stack might Atlan replace? How would you characterize Atlan’s position in the current data ecosystem? What makes Atlan stand out from other systems for data cataloguing, metadata management, or data governance?