Blog
The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams
Because the real differentiator in today’s market isn’t just having data. It’s about having it simplified, integrated, trusted, and continually improving. It’s having a data team you can trust. And control.
How I Broke Our SLA and Delighted Our Customer
Failing the SLA was the price we paid for trust. And it was worth every second.
Why Not Hearing About Data Errors Should Worry Your Data Team
Why Not Hearing About Data Errors Should Worry Your Data Team In the chaotic lives of data & analytics teams, a day without hearing of any data-related errors is a blessing. Your team is on top of things, deliveries are on schedule (you think), and no major...
Your LLM Needs a Data Journey: A Comprehensive Generative AI Guide for Data Engineers
Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. LLMs have the potential...
DataKitchen Resource Guide To Data Observability & DataOps
DataKitchen Resource Guide To Data Observability & DataOps DataKitchen Open Source Data Observability Download, Install, Overview, and Quickstart Blog: Why Open Source Webinar: Introduction To Open Source Data (and Analytic) Observability & Data Journey –...
The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams
The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is "Per Alios Culpa Transfertur" (Blame is Transferred to Others). In the world of data...
ON DEMAND WEBINAR: Beyond Data Observability
Navigating the Chaos of Unruly Data: Solutions for Data Teams
The Perilous State of Today’s Data Environments Data teams often navigate a labyrinth of chaos within their databases. The core issue plaguing many organizations is the presence of out-of-control databases or data lakes characterized by: Unrestrained Data Changes:...
ON DEMAND WEBINAR: Data Observability Demo Day
The Need For Personalized Data Journeys for Your Data Consumers
In today's data-driven landscape, Data and Analytics Teams increasingly face a unique set of challenges presented by Demanding Data Consumers who require a personalized level of Data Observability. As opposed to receiving one-size-fits-all status updates, these key...
War Rooms Suck
The meeting room was spacious, adorned with charts, graphs, and several cups of hastily grabbed coffee. I distinctly remember an afternoon set to work with a promising prospect. As my team and I waited, a flurry of messages informed us that the key players from the...
Data Teams and Their Types of Data Journeys
Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. This comprehensive article delves into the complexities...
Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability
Bridging the Gap: How 'Data in Place' and 'Data in Use' Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream....
