Announcing Apache Spark 1.3!
Today I’m excited to announce the general availability of Apache Spark 1.3! Apache Spark 1.3 introduces the widely anticipated DataFrame API, an evolution...
Introducing DataFrames in Apache Spark for Large Scale Data Science
Today, we are excited to announce a new DataFrame API designed to make big data processing even easier for a wider audience. When...
Apache Spark: A review of 2014 and looking ahead to 2015 priorities
2014 has been a year of tremendous growth for Apache Spark. It became the most active open source project in the Big Data...
An introduction to JSON support in Spark SQL
Note: Starting Spark 1.3, SchemaRDD will be renamed to DataFrame. In this blog post, we introduce Spark SQL’s JSON support, a feature we have been working on at Databricks to make it dramatically easier to query and create JSON data in Spark. With the prevalence of web and mobile applications, JSON has become the de-facto interchange format for web service API’s as well as long-term storage. With existing tools, users often engineer complex pipelines to read
Introducing Streaming k-means in Apache Spark 1.2
Many real world data are acquired sequentially over time, whether messages from social media users, time series from wearable sensors, or — in...
Random Forests and Boosting in MLlib
This is a post written together with Manish Amde from Origami Logic. Apache Spark 1.2 introduces Random Forests and Gradient-Boosted Trees (GBTs) into...
Improved Fault-tolerance and Zero Data Loss in Apache Spark Streaming
Real-time stream processing systems must be operational 24/7, which requires them to recover from all kinds of failures in the system. Since its...
Spark SQL Data Sources API: Unified Data Access for the Apache Spark Platform
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...
ML Pipelines: A New High-Level API for MLlib
MLlib’s goal is to make practical machine learning (ML) scalable and easy. Besides new algorithms and performance improvements that we have seen in...
Announcing Apache Spark Packages
Today, we are happy to announce Apache Spark Packages ( http://spark-packages.org ), a community package index to track the growing number of open source packages and libraries that work with Apache Spark. Spark Packages makes it easy for users to find, discuss, rate, and install packages for any version of Spark, and makes it easy for developers to contribute packages.