Esports matches are easier to follow with Major League Gaming’s EVE tech
The main goal for EVE is to provide a richer esports-specific viewing experience for fans.
DBMS 2 : Rapid analytics
Is rapid analytics a legitimate area for technology advancement and growth
Think Managing Big Data Is Much Too Complex? Just Wait
The most common theme is that big data today is about much more than just Hadoop.
This app wants to be the SoundCloud of podcasting
The iOS app lets anyone record a podcast using only the app.
DRIVING VALUE WITH DATA SCIENCE
Time devoted to data wrangling and DevOps is a dead loss; it reduces the amount of time data scientists can spend delivering real value to clients.
7 Tips to Debug Apache Spark Code Faster with Databricks
These tips can help you to expose any corner cases with your code.
Apache Kafka for Item Setup
The shift to Kafka enabled fast processing but has also introduced new challenges.
The Final Frontier of the Internet of Things: Machine to Machine Action
The full potential of the Internet of Things (IoT) is realized with the sort of machine to machine responses.
Many Firms Struggle to Access Data Quickly and Efficiently
Why do many firms find it difficult to access data from different parts of the organization in a quick and efficient manner.
Using AWS Lambda with Databricks for ETL Automation and ML Model Serving
Learn how to leverage AWS Lambda and Databricks together to tackle two use cases.
Cloudera tells bright Sparks: Go teach yourselves Hadoop
Online DIY courses gotta be less tedious than teaching GCHQ's finest.
Microsoft and the ubiquity of data intelligence
Microsoft's got so much going on with data and analytics.
Shortages of Data Pros, Reliable Applications Still Haunt Many Organizations
The shortage of skilled data professionals continues to get plenty of press.
Data Lakes Hold Great Promise, But Huge Challenges for Many Firms
"Our aim is to be an agnostic layer that is the foundation for any big data sources and applications to integrate."
Strata HadoopWorld Fall 2016 postmortem: Maybe AI’s the future, but can we make the data science work?
Just because you have a Hadoop cluster doesn't mean that your ML models are going to run.
Stream Processing with Kafka Streams
This post intends to demonstrate how easy can be to build a stream processing application with Kafka Streams.
Databricks Completes SOC 2 Type 1 Certification
Databricks has been partnering with enterprises and government agencies to securely process mission-critical workloads with Spark.
Databricks Bi-Weekly Apache Spark Digest – 10/3/16
See what’s happened with Apache Spark in the last couple of weeks
Voice from CERN: Apache Spark 2.0 Performance Improvements Investigated With Flame Graphs
Luca Canali of CERN investigates performance improvements in Apache Spark 2.0 from whole-stage code generation using flame graphs.
Getting Going With Hadoop and Spark, the ClusterGX Option
The marketing message was all about huge scalability and the potential for big data.
SAP allots $2 billion for IoT investments, buys software firm Plat.One
The funds will support SAP's creation of IoT development labs around the world and the launch of a new product line.
How to Evaluate a Cloud-based Apache Spark Platform
A Buyer’s Guide from ESG Global
Apache Spark Survey 2016 Results Now Available
The results show that the Spark community is still growing fast.
Cloud Machine Learning Platforms vs. Apache Spark Solutions
For machine learning - they say their cloud products will free data scientists and developers from implementation details so they can focus on business logic.
Teradata (re)embarks on a solutions journey
The journey will be a balancing act for avoiding conflict with the analytics software partners that have been pillars of its ecosystem.
Infobright and Data Lake Survival
It is a transcript of a conversation between Dr. Robin Bloor and Rick Glick.
What is hardcore data science—in practice?
Data science has early roots in scientists efforts to understand human intelligence and create artificial intelligence.
Data architectures for streaming applications
The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications and cloud computing.
How to Achieve Reliable Customer Data
Reliable customer data is crucial for the success of any business.
Apache Spark Earns Datanami Readers’ and Editors’ Choice Awards for Machine Learning, Real-time Analytics, and More
The Datanami Readers’ and Editors’ Choice Awards recognized the sweeping changes Apache Spark is bringing to the Big Data landscape with four awards.
Featured Content
Events
AWS re:Invent
Join us again this year in Las Vegas for our biggest, most comprehensive, and most vibrant event in cloud computing.
AI & Big Data Expo 2022
This technology event is for the ambitious enterprise technology professional, seeking to explore the latest innovations, implementations and strategies to drive businesses forward.
Current 2022: The Next Generation of Kafka Summit
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.
O’Reilly Open Source Convention
OSCON covers FLOSS in its entirety. Not just one language, tool, or philosophy, but all the moving parts integrated and working together.
99U 2016
The goal of the 99U Conference is to shift the focus from idea generation to idea execution. Providing road-tested insights
Consensus 2016: Making Blockchain Real
Consensus 2016 will define what is “real” in blockchain technology and focus on how to mainstream real-world applications for consumers.