Blog
Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis
A data quality crisis in data engineering is more than a mere technical hiccup; it often signals deeper systemic issues within the team and organizational processes. Let’s delve into the root causes, symptoms, and strategies for rapid intervention and long-term improvement.
How Three Small Pharma Companies Used DataKitchen to Achieve Commercial Launch Success and Skyrocket to $100 Billion in Acquisition Value
Three pharma companies recently made headlines by securing successful exits totaling $100 billion. What’s their common denominator? They all chose DataKitchen to power their pre-launch data operations. Here’s why DataKitchen stood out as their partner of choice.
Streaming Analytics with DataOps
The technical architecture that powers steaming analytics enables terabytes of data to flow through the enterprise’s data pipelines. Real-time analytics require real-time updates to data. To that end, data must be continuously integrated, cleaned, preprocessed,...
Add DataOps Tests for Error-Free Analytics
How much of your time do you spend writing tests? In a DataOps enterprise, data professionals spend 20% of their time writing tests. This may seem like a lot, but if an organization is wasting time due to errors, every hour spent on tests saves many hours in lost...
Navigating a Recession with DataOps
The Corona COVID-19 virus has completely changed the landscape for business in 2020. Strategic plans that were approved a few short months ago are being scrapped. With a recession at hand, it’s time to hit the reset button on your plans. Business thought leaders were...
Promoting Reuse with Containers and the DataKitchen DataOps Platform
DataOps places great emphasis on productivity. Team velocity can improve significantly when the data organization uses tools and methods that promote component reuse. Architecting analytics as microservices is one way to stimulate code reuse. The challenge is that the...
A Note to Our Customers on Covid-19
On behalf of DataKitchen, we hope that you, your team, and families are staying safe during this difficult time. DataKitchen’s highest priority is the health and safety of our employees, customers, partners, and their families. Over the last few weeks, we have taken...
Where Can I Learn More About DataOps?
For more information on DataOps, checkout: The DataOps Manifesto DataOps Cookbook DataOps Videos DataOps News DataOps Blog DataOps SlideShare
Orchestrating StreamSets with the DataKitchen DataOps Platform
The cacophony of tools and mission-critical deliverables are the reason behind the high complexity of modern-day data organizations. Data groups include a wide range of roles and functions that are intricately woven together by their “Data”. Teams include data...
Do You Need DataOps? Take Our 1-Minute Survey
DataOps is a hot topic these days. It's not surprising given that DataOps holds true potential for enabling enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to slash cycle times...
Gartner: “Select a DataOps Platform for 2020”
In Gartner's recent write up for technical professionals, "2020 Planning Guide for Data Management", they highlight 10 critical trends for 2020. The most exciting one for us at DataKitchen is #10, DataOps. We are most excited that Gartner is advocating the need for...
DataOps is Not Just a DAG for Data
We often hear people say that DataOps is just automating the data pipeline — using orchestration to execute directed acyclic graphs (DAGs). Enterprises may already use orchestration tools (Airflow, Control-M, etc.) and mistakenly conclude that they have DataOps...
DataOps Aphorisms
We speak to a lot of people about the ideas behind DataOps. Sometimes, the shortest phrase captures the idea the best. The dictionary defines an 'Aphorism; as aph·o·rism /ˈafəˌrizəm/ (noun):a pithy observation that contains a general truth. So we collected many of...
Iowa Caucuses, do your DataOps
Everyone has heard by now that there is an issue with counting the ballots in the Iowa Democratic presidential caucuses. It's all over the news. What we just learned is that the reporting system, not the app they created, is the source of the errors. I know we have...
