Skip to main content
<
Page 8
>

Fine Grained Forecasting With R

October 17, 2022 by Divya Saini and Bryan Smith in
Demand forecasting is foundational to most organizations' planning functions. By anticipating consumer demand for goods and services, activities across marketing and up and...

Creating a Community of Industry Practitioners With Databricks Solutions Accelerators

Photosynthesis is the process that transforms carbon dioxide, water and energy into sugars and oxygen. Harmful on its own, CO2 is transformed into...

How Organizations Can Extract the Full Potential of SAP Data with a Lakehouse

September 19, 2022 by Shiv Trisal and Samir Patel in
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

September 1, 2022 by Silvio Fiorito in
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

June 24, 2022 by Soham Bhatt and Deepak Sekar in
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

September 7, 2021 by Greg Wood and Amir Kermany in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...