Demystifying Gen AI and Data Science
Watch our exclusive on-demand webinar featuring experts from LumenData and Databricks. Hear from about the difference between LLM and Data Science.
Databricks
Market Better: Why Clustering is Important for Data Science & AI
The blog is your technical guide to understanding how machine learning and K-Means clustering unlock high-value customer segments to enable targeted marketing and personalized recommendations.
A Quick Introduction to Medallion Architecture
Read the blog to gain a quick understanding of medallion architecture and why it’s important for your business in 2024 and beyond.
What is Data Science? Best Advantages to Know in 2024
Read the blog to explore the best benefits of data science for your organization and its importance in the age of generative AI.
LumenData Introduces Databricks-Powered Chatbot Solution to Enable Interactive Insights
Check out our data sheet to learn about LumenData’s Databricks-Powered Chatbot Solution! Get dynamic, personalized insights and enable real-time data processing & analysis.
A Quick Technical Guide to Delta Lake
Read our Data Sheet on Delta Lake, an open-source storage layer brings ACID (Atomicity, Consistency, Isolation, Durability) transactions to Apache Spark & big data workloads.
Informatica IDMC for Delta Lake on Databricks
Discover the potential of integrated data solutions from Informatica and Databricks. Watch our expert, Andrew Crider, Director of Analytics at LumenData for a quick demo.
Join LumenData at Databricks Data+AI Summit 2024
Meet our team at Databricks Data+AI Summit & learn how we help customers enable generative AI capabilities at scale with the Databricks platform.
Leverage AI at Scale with Informatica & Databricks
Watch our Exclusive webinar: Discover how Informatica and Databricks can work together can optimize your data for successful AI initiatives.
The Guide to Building a Custom Databricks Notification System
This data sheet talks about solutions that can create a more informative
notification system for Databricks workloads.
