Processing Petabytes of Data in Seconds with Databricks Delta
Introduction Databricks Delta is a unified data management system that brings data reliability and fast analytics to cloud data lakes. In this blog post, we take a peek under the hood to examine what makes Databricks Delta capable of sifting through petabytes of data within seconds. In particular, we discuss Data Skipping and ZORDER Clustering....
rquery: Practical Big Data Transforms for R-Spark Users
This is a guest community blog from Nina Zumel and John Mount, data scientists and consultants at Win-Vector. They share how to use rquery with Apache Spark on Databricks Introduction In this blog, we will introduce rquery, a powerful query tool that allows R users to implement powerful data transformations using Apache Spark on Databricks....
Bay Area Apache Spark Meetup Summary @ Databricks HQ
On July 19, we held our monthly Bay Area Spark Meetup (BASM) at Databricks, HQ in San Francisco. At the Spark + AI Summit in June, we announced two open-source projects: Project Hydrogen and MLflow. Partly to continue sharing the progress of these open-source projects with the community and partly to encourage community contributions, two...
MLflow v0.3.0 Released
Today, we’re excited to announce MLflow v0.3.0, which we released last week with some of the requested features from internal clients and open source users. MLflow 0.3.0 is already available on PyPI and docs are updated. If you do pip install mlflow as described in the MLflow quickstart guide, you will get the recent release....
A Guide to AI, Machine Learning, and Deep Learning Talks at Spark + AI Summit Europe
Within a couple of years of its release as an open-source machine learning and deep learning framework, TensorFlow has seen an amazing rate of adoption. Consider the number of stars on its github page: over 105K; look at the number of contributors: 1500+; and observe its growing penetration and pervasiveness in verticals: from medical imaging...
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...
Announcing Databricks Runtime 4.2!
We’re excited to announce Databricks Runtime 4.2, powered by Apache Spark™. Version 4.2 includes updated Spark internals, new features, and major performance upgrades to Databricks Delta, as well as general quality improvements to the platform. We are moving quickly toward the Databricks Delta general availability (GA) release and we recommend you upgrade to Databricks Runtime...
Apache Spark™ Clusters in Autopilot Mode
Apache Spark™ is a unified analytics engine that helps users use a single distributed computing framework for various use cases. With the advent of cloud computing, setting up your own platform using Apache Spark is relatively easy. There are also tools / services that cloud providers provide to make setup easier. However, the real hard...
