Every organization has critical information trapped in PDFs and unstructured documents: forms, reports, records, filings. Historically, turning those files into usable data has meant manual data entr...
Establishing a trusted Continuous Integration/Continuous Deployment (CI/CD) process is crucial for effectively managing the lifecycle of your data and AI workloads in Azure Databricks. However, with n...
If you work in infrastructure or data engineering, there is a good chance syslog-ng is already somewhere in your stack. It is one of the most widely deployed open source log management tools in the wo...
Every system you run generates a constant stream of signals: traces that show how a request travelled through your service, logs that capture what happened and why, and metrics that measure the overal...
I think the base is the best bit of a cheesecake, always have and always will, and when I started looking at geospatial data in Databricks, I was eating a cheesecake. Government agencies dealing with...
Author: @shwetav1407 Tags: #workflows, #orchestration, #jobs Welcome to the blog series exploring Databricks Workflows, a powerful product for orchestrating data processing, machine learning, and an...
Your notebooks deserve better than plain markdown. Markdown documentation can be dull and boring (and ignored in some cases...), the same used to apply to markdown content in notebook cells. What i...
In October 2024, TD Bank agreed to pay over $3 billion in penalties for systemic failures in its anti-money laundering program. Largest penalty of its kind ever imposed on a U.S. bank. But the number ...
This is the first installment in a multi-part blog series on governing Databricks Apps as a platform admin. In this series, we cover everything from architecture and access control to cost management,...
Introduction: Modern Data Engineering has a Location Problem In the world of data engineering, the "What" and "When" are often handled with ease. We know what was bought and when it was delivered. But...
