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How to Get Started with DataOps

How to Get Started with DataOps

At DataKitchen, we are believers in delivering value. We work with our customers to find a first project that can drive real benefits and meet their critical business needs. Customers use our DataKitchen technology and their experience to address a focused business...

2019 DataOps Survey .. Errors and Slow Innovation Abound

2019 DataOps Survey .. Errors and Slow Innovation Abound

Survey Finds Majority of Businesses in the U.S. and Europe are Taking Months to Deploy New Analytics; Data Plagued with Errors Upon Delivery to Customers “CAMBRIDGE, Mass.–(BUSINESS WIRE)–“DataKitchen, Inc, the first and leading DataOps platform that manages analytics...

A summary of Gartner’s Recent DataOps Report and recommendations

A summary of Gartner’s Recent DataOps Report and recommendations

A summary of Gartner’s recent DataOps report and recommendations on further reading: Gartner Research “Introducing DataOps Into Your Data Management Discipline” Published: 31 October 2019 ID: G00376495 Analyst(s): Ted Friedman, Nick Heudecker Summary “To relieve...

“The Unicorn Project” Review & DataOps Excerpt

“The Unicorn Project” Review & DataOps Excerpt

“[DataKitchen CEO] Chris [Bergh] had a huge impact on the development of "The Unicorn Project", and helped me see the parallel universe of DataOps.” -Gene Kim, Author of "The Unicorn Project™" Almost everyone in the software development world has read a...

Behind A Great Company, There is DataOps

Behind A Great Company, There is DataOps

Recently, Amgen purchased the pharmaceutical unit of Celgene responsible Otezla for $13.4 billion. Otezla is not your typical run-of-the-mill M&A blockbuster. They are a DataOps pioneer. DataKitchen is proud to count ourselves as a key partner in Otezlas DataOps...

Why Do DataOps

Why Do DataOps

Why Do DataOps If you are frustrated with your enterprise’s data analytics, you are not alone. VentureBeat reported that 87% of data science projects never make it into production. It’s no surprise then that, despite soaring investments in AI and data science, the...

Automated Efficiency and Quality with DataKitchen

Automated Efficiency and Quality with DataKitchen

As we wrote in our last blog, a pharmaceutical company faced numerous difficulties when implementing marketing automation for multiple global business units: Difficulties with database drift and database integration Lack of technical infrastructure to implement Agile...

DataOps Data Architecture

DataOps Data Architecture

The “Right to Repair” Data Architecture with DataOps We’ve been attending data conferences for over 20 years. It has been common to see presenters display a data architecture diagram like the (simplified) one below (figure 1). A data architecture diagram shows how raw...

Gartner Research Names DataKitchen “Cool Vendor”

Gartner Research Names DataKitchen “Cool Vendor”

Gartner Research Names DataKitchen “Cool Vendor” in Data Management for 2019 Gartner recently named DataKitchen a “Cool Vendor” in Data Management. Analyst Mark Beyer and others put together a list of the hottest new vendors that “offer data and analytics leaders ways...

The Best DataOps Articles Q2 2019

The Best DataOps Articles Q2 2019

The Best DataOps Articles of Q2 2019 Every quarter we sift through the media and analyst coverage of DataOps and create a list of the best articles for the most recent period. This quarter there was so much activity we couldn’t list it all. DataOps is fast becoming...

How to Get Started with DataOps

451 Group On DataKitchen

“We think DataKitchen has a compelling take on the requirements for becoming data-driven, especially as it is set up to address the cultural and process changes that come with transformational projects, and not just the tooling products or services. It is clearly...

Banking On Data (Ops) White Paper

Banking On Data (Ops) White Paper

New DataKitchen Case Study: Banking on Data to Win in Financial Services DataKitchen recently published a new banking case study. It talks about an innovative financial services company uses technology to outcompete traditional big banks and brokerage firms. With...

DataOps Data Quality TestGen:

Simple, Fast, Generative Data Quality Testing, Execution, and Scoring.

[Open Source, Enterprise]

DataOps Observability:

Monitor every data pipeline, from source to customer value, & find problems fast

[Open Source, Enterprise]

DataOps Automation:

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

[Enterprise]

recipes for dataops success

DataKitchen Consulting Services


DataOps Assessments

Identify obstacles to remove and opportunities to grow

DataOps Consulting, Coaching, and Transformation

Deliver faster and eliminate errors

DataOps Training

Educate, align, and mobilize

Commercial Data & Analytics Platform for Pharma

Get trusted data and fast changes to create a single source of truth

 

dataops-cookbook-download

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

All the basics on DataKitchen

DataKitchen Team

Who we are; Why we are the DataOps experts

Careers

Come join us!

Contact

How to connect with DataKitchen

 

DataKitchen News


Newsroom

Hear the latest from DataKitchen

Events

See DataKitchen live!

Partners

See how partners are using our Products

 

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.