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Webinar Summary: Data Mesh and Data Products

Webinar Summary: Data Mesh and Data Products

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes - Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more...

Only One Problem To Solve for Successful Data and Analytics

Only One Problem To Solve for Successful Data and Analytics

The real problem in data analytics is that teams need to deliver insight to their customers without error put new ideas into production rapidly minimize their ‘insight manufacturing’ expenses ... all at the same time   As former leaders of data teams, we...

Why I Chose DataKitchen for DataOps

Why I Chose DataKitchen for DataOps

Why choose DataKitchen? During my nearly seven-year tenure leading an analytics function at Celgene, our partnership with DataKitchen was a critical component of my team’s data and analytics strategy. DataKitchen preaches the message of DataOps, a philosophy they...

A Data Prediction for 2025

A Data Prediction for 2025

We’ve read many predictions for 2023 in the data field:  they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc.   Here at DataKitchen, we wanted to take a different approach: look at a three-year horizon. What will the world of...

“You Complete Me,” said Data Lineage to Data Journeys.

“You Complete Me,” said Data Lineage to Data Journeys.

What is data lineage? Data lineage traces data's origin, history, and movement through various processing, storage, and analysis stages. It is used to understand the provenance of data and how it is transformed and to identify potential errors or issues. Data lineage...

Plumbing Wisdom for Data Pipelines

Plumbing Wisdom for Data Pipelines

While you're admiring the latest cloud tech, don't forget that humans have been debugging pipelines, at least since the Romans built the aqueducts.  Any good plumber can give you some hard-won tips on managing data pipelines effectively, insights that might save your...

The Terms and Conditions of a Data Contract are Data Tests

The Terms and Conditions of a Data Contract are Data Tests

The Terms and Conditions of a Data Contract are Automated Production Data Tests A data contract is a formal agreement between two parties that defines the structure and format of data that will be exchanged between them. Data contracts are a new idea for data and...

Open Source Data Observability Software

DataOps Observability: Monitor every Data Journey in an enterprise, from source to customer value, and find errors fast! [Open Source, Enterprise]

DataOps Data Quality TestGen: Simple, Fast Data Quality Test Generation and Execution. Trust, but verify your data! [Open Source, Enterprise]

DataOps Software

DataOps Automation: Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change. [Enterprise]

recipes for dataops success

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Assessments

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Commercial Data & Analytics Platform for Pharma

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DataOps Learning and Background Resources


DataOps Journey FAQ
DataOps Observability basics
Data Journey Manifesto
Why it matters!
DataOps FAQ
All the basics of DataOps
DataOps 101 Training
Get certified in DataOps
Maturity Model Assessment
Assess your DataOps Readiness
DataOps Manifesto
Thirty thousand signatures can't be wrong!

 

DataKitchen Basics


About DataKitchen

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Monitor every Data Journey in an enterprise, from source to customer value, in development and production.

Simple, Fast Data Quality Test Generation and Execution. Your Data Journey starts with verifying that you can trust your data.

Orchestrate and automate your data toolchain to deliver insight with few errors and a high rate of change.