MLflow v0.7.0 Features New R API by RStudio
Today, we’re excited to announce MLflow v0.7.0, released with new features, including a new MLflow R client API contributed by RStudio. A testament to MLflow’s design goal of an open platform with adoption in the community, RStudio’s contribution extends the MLflow platform to a larger R community of data scientists who use RStudio and R...
Introduction to Neural Networks: On-Demand Webinar and FAQ Now Available!
On September 27th, we hosted a live webinar—Introduction to Neural Networks—with Denny Lee, Technical Product Marketing Manager at Databricks. This is the first webinar of a free deep learning fundamental series from Databricks. In this webinar, we covered the fundamentals of deep learning to better understand what gives neural networks their expressive power: the potential...
What’s New for Apache Spark on Kubernetes in the Upcoming Apache Spark 2.4 Release
This is a community blog from Yinan Li, a software engineer at Google, working in the Kubernetes Engine team. He is part of the group of companies that have contributed to Kubernetes support in the upcoming Apache Spark 2.4. Since the Kubernetes cluster scheduler backend was initially introduced in Apache Spark 2.3, the community has...
MLflow On-Demand Webinar and FAQ Now Available!
On August 30th, our team hosted a live webinar—Introducing MLflow: Infrastructure for a complete Machine Learning lifecycle—with Matei Zaharia, Co-Founder and Chief Technologist at Databricks. In this webinar, we walked you through MLflow, a new open source project from Databricks that aims to design an open ML platform where organizations can use any ML library...
By Customer Demand: Databricks and Snowflake Integration
Today, we are proud to announce a partnership between Snowflake and Databricks that will help our customers further unify Big Data and AI by providing an optimized, production-grade integration between Snowflake’s built for the cloud-built data warehouse and Databricks’ Unified Analytics Platform. Over the course of the last year, our joint customers such as Rue...
Building a Real-Time Attribution Pipeline with Databricks Delta
In digital advertising, one of the most important things to be able to deliver to clients is information about how their advertising spend drove results. The more quickly we can provide this, the better. To tie conversions or engagements to the impressions served in an advertising campaign, companies must perform attribution. Attribution can be a...
Loan Risk Analysis with XGBoost and Databricks Runtime for Machine Learning
For companies that make money off of interest on loans held by their customer, it’s always about increasing the bottom line. Being able to assess the risk of loan applications can save a lender the cost of holding too many risky assets. It is the data scientist’s job to run analysis on your customer data...
Simplify Advertising Analytics Click Prediction with Databricks Unified Analytics Platform
Advertising teams want to analyze their immense stores and varieties of data requiring a scalable, extensible, and elastic platform. Advanced analytics, including but not limited to classification, clustering, recognition, prediction, and recommendations allow these organizations to gain deeper insights from their data and drive business outcomes. As data of various types grow in volume, Apache...
Simplify Streaming Stock Data Analysis Using Databricks Delta
Traditionally, real-time analysis of stock data was a complicated endeavor due to the complexities of maintaining a streaming system and ensuring transactional consistency of legacy and streaming data concurrently. Databricks Delta helps solve many of the pain points of building a streaming system to analyze stock data in real-time. In the following diagram, we provide...
Make Your Oil and Gas Assets Smarter by Implementing Predictive Maintenance with Databricks
How to build an end-to-end predictive data pipeline with Databricks Delta and Spark Streaming Maintaining assets such as compressors is an extremely complex endeavor: they are used in everything from small drilling rigs to deep-water platforms, the assets are located across the globe, and they generate terabytes of data daily. A failure for just one...
