Databricks Delta: A Unified Data Management System for Real-time Big Data
Combining the best of data warehouses, data lakes and streaming For an in-depth look and demo, join the webinar . Today we are...
Introducing the Natural Language Processing Library for Apache Spark
This is a community blog and effort from the engineering team at John Snow Labs, explaining their contribution to an open-source Apache Spark...
Using Databricks to Democratize Big Data and Machine Learning at McGraw-Hill Education
This is a guest post from Matt Hogan, Sr. Director of Engineering, Analytics and Reporting at McGraw-Hill Education. McGraw-Hill Education is a 129-year-old...
Arbitrary Stateful Processing in Apache Spark’s Structured Streaming
This is the seventh post in a multi-part series about how you can perform complex streaming analytics using Apache Spark and Structured Streaming...
Benchmarking Structured Streaming on Databricks Runtime Against State-of-the-Art Streaming Systems
Update Dec 14, 2017 : As a result of a fix in the toolkit’s data generator, Apache Flink's performance on a cluster of...
Accelerating R Workflows on Databricks
At Databricks we strive to make our Unified Analytics Platform the best place to run big data analytics. For big data, Apache Spark...
Building Complex Data Pipelines with Unified Analytics Platform
Introduction Big data practitioners often post recurring questions on Quora: What is data engineering? How to become a data scientist? What’s a data...
Do your Streaming ETL at Scale with Apache Spark’s Structured Streaming
At the Spark Summit in San Francisco in June , we announced that Apache Spark’s Structured Streaming is marked as production-ready and shared...
Cost Based Optimizer in Apache Spark 2.2
This is a joint engineering effort between Databricks’ Apache Spark engineering team (Sameer Agarwal and Wenchen Fan) and Huawei’s engineering team (Ron Hu...
Developing Custom Machine Learning Algorithms in PySpark
Developing custom Machine Learning (ML) algorithms in PySpark—the Python API for Apache Spark—can be challenging and laborious. In this blog post, we describe...