The use of Hadoop-based open source big-data technology continues to grow among enterprises.
Predictions on the future of Big Data
Potential of Big Data in the Indian Market
Get ready for Europe’s largest big data community gathering dedicated to Apache Spark!
This award is unique because the nominees are submitted and the winners are chosen by the experts—the readers.
Apache Spark 2.0 adds the first version of a new higher-level API (Structured Streaming) for building continuous applications.
Spark Streaming has become one of the most widely used distributed streaming engines.
Which of the two data analytics engines is the better performer when it comes to applications in business.
We’re excited to announce the general availability of Apache Spark 2.0 on Databricks.
We continue to learn about Big Data through successful trial and error followed by production implementation.
Apache Spark 2.0 has become easier and faster and accessible to all.
The Connector provides a more natural development experience for Spark users.
Kafka is working really well for lots of companies. But it still has some rough edges.
Open-source software is one of those overnight successes that's been a decade and more in the making.
Cassandra's use of "TABLE" takes some getting used to if you're coming from the relational world.
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
DSSTNE is used to train neural networks and generate recommendations that power various personalized experiences on the retail website and Amazon devices.
NoSQL movement will ultimately dominate the world of analytical systems.
With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.
So what is the cause for the difficulties in getting big data and Hadoop to perform?
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.
How to secure Big Data in modern enterprise
Recap of highlighted talks from Spark Summit 2016
Emerging data analytics tools that are worth exploring
Don’t miss out on Spark Summit 2016 by viewing real-time video stream
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