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Centralize Your Data Processes With a DataOps Process Hub

Centralize Your Data Processes With a DataOps Process Hub

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization...

What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

This article was originally published in Forbes. Engineers unleashed artificial intelligence (AI) bias, and it will be engineers who design the solutions that eliminate it. Authors of an article published by McKinsey Global Institute assert that “more human vigilance...

Infographic – Data Engineers are Burned Out and Calling for DataOps

Infographic – Data Engineers are Burned Out and Calling for DataOps

A survey commissioned by data.world and DataKitchen reveals a disturbing state of affairs among data engineering professionals. The study of 600 data engineers, conducted by Wakefield Research, suggests an overwhelming majority are burned out and calling for relief....

A Day in the Life of a DataOps Engineer

A Day in the Life of a DataOps Engineer

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.” In DataOps, the definition of...

What is a DataOps Engineer?

What is a DataOps Engineer?

A DataOps Engineer owns the assembly line that's used to build a data and analytic product. Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output...

Start DataOps Today with ‘Lean DataOps’

Start DataOps Today with ‘Lean DataOps’

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development, which breaks development into incremental...

DataOps is the Factory that Supports Your Data Mesh

DataOps is the Factory that Supports Your Data Mesh

Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in...

How DataOps is Transforming Commercial Pharma Analytics

How DataOps is Transforming Commercial Pharma Analytics

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from...

Implementing a Pharma Data Mesh using DataOps

Implementing a Pharma Data Mesh using DataOps

Below is our fourth post (4 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a decentralized architecture. We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a...

Accelerating Drug Discovery and Development with DataOps

Accelerating Drug Discovery and Development with DataOps

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug...

Addressing Data Mesh Technical Challenges with DataOps

Addressing Data Mesh Technical Challenges with DataOps

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “What is a Data Mesh?”) and how...

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