Blog
The Data Quality Revolution Starts with You
Your organization’s data quality transformation is waiting for someone to take the first step. The open source tools are available, the methodologies are proven, and the need is obvious. . The revolution starts with you. What are you waiting for?
When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares
Timing is EVERYTHING. How Latency Issues Spawn Data Quality Problems
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
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...
Use DataOps With Your Data Mesh to Prevent Data Mush
In our last post, we summarized the thinking behind the data mesh design pattern. In this post (2 of 5), we will review some of the ideas behind data mesh, take a functional look at data mesh and discuss some of the challenges of decentralized enterprise architectures...
What is a Data Mesh?
The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. With an architecture comprised of numerous domains, enterprises need to manage order-of-operations issues, inter-domain...
Using DataOps to Drive Agility & Business Value
In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca Ryan Chapin, Former...
DataOps: The New Normal in Pharma
What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?
Data Observability and Monitoring with DataOps
Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal...
Forrester – Chart Your Course To Insights-Driven Business Maturity
As organizations strive to become more data-driven, Forrester recommends five actions to take to move from one stage of insights-driven business maturity to another. After establishing a solid strategy, the second phase involves planning key processes and practices...
DataOps Enables Your Data Fabric
Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Forrester relates that out of 25,000 reports published by the firm last year, the report...
The Journey to DataOps Success: Key Takeaways from Transformation Trailblazers
In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK); and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise...
The DataOps Vendor Landscape, 2021
Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate...
