We continue to learn about Big Data through successful trial and error followed by production implementation.
Open-source software is one of those overnight successes that's been a decade and more in the making.
Today’s DBA may feel somewhat like Dr. Who—traversing alternate application “universes” in which different rules and demands weigh on their decisions.
What is the purpose of connecting all these devices and gathering the data if we are not going to do anything about it?
The Databricks cloud implementation of Apache Spark simplifies the use of the open-source big data processing engine
how Hadoop fits in the industry and what other tools work well for big data streaming and batch processing
NoSQL movement will ultimately dominate the world of analytical systems.
Enterprises have started to evaluate Hadoop - a technology that makes processing and analysis of modern day big data workloads possible.
Analytics is no longer only about better insights -- it’s now the foundation for digital transformation and innovation.
Hadoop’s capabilities make it one of the most sought after data platforms for successful businesses all over the world.
The most important thing that you first need to understand is: What problems is Big Data helping to solve.
2016 could go down as a record year for M&A activity in the sector and concerns about security and execution remain.
So what is the cause for the difficulties in getting big data and Hadoop to perform?
They’re going to need to be trained and that training is going to be complex.
Companies want new applications that incorporate low-latency processing to impact events as they happen.
Here you can find full explanations of the key terms one encounters when working with Apache Spark.
Think of the real value and invest in solutions and partners that can help you deliver that value.
MapR is making cluster management and upgrades easier. Microsoft will be showing its enterprise database on Red Hat's Enterprise Linux.
Being able to connect things without physically moving the data is a really important technology.
What challenges do Malaysian companies face in getting value from big data?
Recap of highlighted talks from Spark Summit 2016
An insightful analysis of forthcoming changes Big Data triggers
The list is growing...Top of the line Big Data companies
Emerging data analytics tools that are worth exploring
Don’t miss out on Spark Summit 2016 by viewing real-time video stream
Splice Machine has joined the mainstream
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.