These instructions will assume you’re using Fedora 25.
Apache Spark 2.1 is just around the corner: the community is going through voting process for the release candidates.
This year's re:Invent showed Amazon isn't taking anything for granted.
Learn about the ease with which you can migrate your MLlib RDD-based workloads to Spark 2.x MLlib DataFrame-based APIs.
A practice that is still followed today for all of Pixar’s films.
The Internet evolution has achieved the level when it is simply here for us at all times.
This is one of a series of blogs on integrating Databricks with commonly used software packages.
Tokata Iron Eyes is beaming.
The way of programatically manipulating the data from Kafka.
What are the big and small moves that will mark IoT in 2017?
New Big Data streaming capabilities in its latest Ecosystem Pack.
Notebooks are perfect for situations where you want to combine plain text with rich text elements.
Investments in cloud computing will continue aggressively in 2017. But many organizations will opt for multi-cloud environments in their data centers.
Practical best practices and tools to evaluate and compare the most popular cloud-based Spark solutions.
2 great presentations lined up for you on Apache Kafka and Apache Ignite.
Opponents of the Dakota Access pipeline are taking to the streets.
The key to making good decisions is having good information.
Databricks Sets New World Record for CloudSort Benchmark.
Architecting the most efficient cloud data processing platform.
How to use Spark machine learning library to create our own music recommendation service.
Unlike other blueprints it is not focused on technology. It is based on four common big data platform design patterns.
Learn about a new online guide for Databricks and Apache Spark.
Apache Spark has quickly become the de-facto big data engine in data-driven companies for its performance.
What are some of the various ways the project is being used for business and how can the community meet those needs?
Azure Container Service (ACS) allows developers to orchestrate applications using Apache Mesos or Docker Swarm.
The growth of data volumes in industry and research poses tremendous opportunities. And tremendous computational challenges too.
Learn about developing applications using Apache Calcite's advanced query planning capabilities.
The tools and techniques used to analyse that data gain extra importance.
Try these Twitter accounts for regular updates on data.
Spark is a credible complement to existing Hadoop deployments.
Join us again this year in Las Vegas for our biggest, most comprehensive, and most vibrant event in cloud computing.
This technology event is for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.
Join the first-ever data streaming industry event at Current 2022: The Next Generation of Kafka Summit. You’ll be able to immerse yourself in all things real-time data with peers.
OSCON covers FLOSS in its entirety. Not just one language, tool, or philosophy, but all the moving parts integrated and working together.
The goal of the 99U Conference is to shift the focus from idea generation to idea execution. Providing road-tested insights
Consensus 2016 will define what is “real” in blockchain technology and focus on how to mainstream real-world applications for consumers.