How Organizations Can Extract the Full Potential of SAP Data with a Lakehouse
With the backdrop of intense global competition, opaque supply chains, and inflation, manufacturers of all types need to address high degrees of volatility...
Using Enhanced Security Monitoring to Detect & Alert for Suspicious Activity on Your Databricks Clusters
Databricks on AWS relies on custom machine images, AMIs, deployed as EC2 instances in the customer’s account. These EC2 instances provide the elastic...
Near Real-Time Anomaly Detection with Delta Live Tables and Databricks Machine Learning
Why is Anomaly Detection Important? Whether in retail, finance, cyber security, or any other industry, spotting anomalous behavior as soon as it happens...
Disaster Recovery Automation and Tooling for a Databricks Workspace
This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment blog. Introduction A broad ecosystem of tooling exists to implement...
Data Warehousing Modeling Techniques and Their Implementation on the Databricks Lakehouse Platform
The lakehouse is a new data platform paradigm that combines the best features of data lakes and data warehouses. It is designed as...
Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform
There are many different data models that you can use when designing an analytical system, such as industry-specific domain models, Kimball, Inmon, and...
High Scale Geospatial Processing With Mosaic
Breaking through the scale barrier (discussing existing challenges) At Databricks, we are hyper-focused on supporting users along their data modernization journeys. A growing...
Implementing More Effective FAIR Scientific Data Management With a Lakehouse
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
How Incremental ETL Makes Life Simpler With Data Lakes
Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Incremental ETL (Extract, Transform...
How to Manage End-to-end Deep Learning Pipelines with Databricks
Deep Learning (DL) models are being applied to use cases across all industries -- fraud detection in financial services, personalization in media, image...