Beyond LDA: State-of-the-art Topic Models With BigARTM
This post follows up on the series of posts in Topic Modeling for text analytics. Previously , we looked at the LDA (Latent...
A Breakup Letter to Data Warehouses
Dear Data Warehouse, We have been trying to make it work for a long time, some would say too long, and it’s just...
Top Four Characteristics of Successful Data and AI-driven Companies
At Databricks, we have had the opportunity to help thousands of organizations modernize their data architectures to be cloud-first and extract value from...
Understanding New Years Trends: A Simple, Unified Pipeline on the Databricks Lakehouse
Try the notebooks referenced throughout this post. Overview , Tweet Ingestion , Tweet Categorization & Result Population For many people, the start of...
Why Scale Matters in Modern Financial Compliance
Let’s talk regulation. While not the sexiest topic for banks to deal with, working with regulations and compliance are critical to financial institutions’...
100 Years of Horror Films: An Analysis Using Databricks SQL
When it comes to the history of film, perhaps no genre says more about us as humans than horror, which taps into our...
5 Key Steps to Successfully Migrate From Hadoop to the Lakehouse Architecture
The decision to migrate from Hadoop to a modern cloud-based architecture like the lakehouse architecture is a business decision, not a technology decision...
Top Considerations When Migrating Off of Hadoop
Apache Hadoop was created more than 15 years ago as an open source, distributed storage and compute platform designed for large data sets...
The Three Things CXOs Prioritize in Their Data and AI Strategy
Leveraging data (internal and external) and customer analytics to innovate and create competitive advantages is more powerful than it has ever been. This...
The Modern Chief Data Officer: Transitioning From Defense to Offense
The Chief Data Officer (CDO) is not a new position – Capital One reportedly had a CDO all the way back in 2002...