Intel Granulate blogs: Databricks
KubeCon Session Recap: American Airlines Lifts Off with Kubernetes Optimization
KubeCon session recap: How American Airlines increased velocity by leveraging Kubernetes at scale with Intel Granulate app-level optimization.
Cloudera vs. Databricks: 6 Key Differences and How to Choose
Cloudera offers a platform for data analytics and machine learning, while Databricks provides a cloud-based data analytics platform, using...
Cloudera vs Databricks vs Snowflake: Choosing the Right Data Management Platform for Your Needs
Dive into the world of three major players in data management: Cloudera, Databricks, and Snowflake, and discover which one is right for your...
Optimizing AI: Large-Scale Data Processing and Analytics
The second in Intel Granulate’s series, Optimizing AI, a deep dive into optimizing Large-scale Data Processing and Analytics applications for...
The American Airlines Journey to Contain Data Lakes Costs
Find out how American Airlines reduced the number of utilized nodes and saved an average of 23% on Databricks data lakes costs.
Optimizing AI: Machine Learning and Predictive Modeling
The first in Intel Granulate’s series, Optimizing AI, a deep dive into optimizing Machine Learning applications for improved performance.
Intel Granulate and Databricks Team up to Optimize Data Management Operations
Intel Granulate customers can now continuously optimize Databricks data management operations and cut cloud costs with no code changes.
Azure Databricks: Spark on Steroids in the Azure Cloud
Azure Databricks is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform.
Discovering Databricks: A Glossary for Data Engineers
Here's a short glossary that not only clarifies what Databricks supports but also can improve your proficiency in this dynamic environment.