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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes.  We counted ten ‘standard’ ways to transform and...

Data Journey First DataOps

Data Journey First DataOps

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront   Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. This innovative approach merges the agility of Agile...

Introducing The Five Pillars Of Data Journeys

Introducing The Five Pillars Of Data Journeys

Introducing The Five Pillars Of Data Journeys “There are those who discover they can leave behind destructive reactions and become patient as the earth, unmoved by fires of anger or fear, unshaken as a pillar, unperturbed as a clear and quiet pool.”  – Gautama Buddha...

Why the Data Journey Manifesto?

Why the Data Journey Manifesto?

Why the Data Journey Manifesto? So why another manifesto in the world? Really?  Why should I care? About seven years ago, we wrote the DataOps Manifesto.  We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World...

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...

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

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