- April 22, 2016
A new view on hybrid data architectures, in which data lakes and warehouses coexist, emerged at EDW 2016. The hybrid approach has implications for data design, skills and planning.
- April 19, 2016
Running a Hadoop cluster in the data center isn't for the weak. But several new tools aim to give IT operations teams a closer look into what's going on inside Hadoop-based big data systems.
- April 13, 2016
Pivotal Software dropped out of the Hadoop distribution business in favor of reselling the Hortonworks version of the big data framework -- and the market consolidation moves may not be over.
- April 01, 2016
Moving streams of data is a must in many modern applications. As a result, streaming analytics systems with Spark Streaming, Kafka and other components are coming to the big data forefront.
- March 31, 2016
At Strata + Hadoop World 2016, Hadoop co-creator Doug Cutting said the core of the distributed processing framework is likely to see its position at the center of big data systems diminish.
Sponsored by Intel - Businesses are excited about artificial intelligence (AI) and the benefits it offers, but like so many new technologies, that potential can be wasted if you don’t know where to begin the journey to production-ready AI. See More
Sponsored by Intel - The cloud is a natural fit for CIOs that wish to evaluate artificial intelligence (AI) because it lends itself to proof of concept (POC) and experimentation without the need for buying hardware that might ultimately not be required. See More
Sponsored by Intel - Artificial intelligence (AI) and machine learning are generating interest from IT leaders eager to discover how the technologies can help their business meet the constant demands of driving down costs, achieving growth, deriving insights from data, making decisions faster and improving efficiency. See More
Sponsored by Intel - Hyperconverged infrastructure promises to make organisations more agile and cost-effective, with new storage technologies replacing legacy systems within a high-performance software-defined IT architecture. See More
- March 25, 2016
Nowadays, the term unstructured data pops up everywhere. It owes its popularity for a large part to the success of big data, to successful technologies such as NoSQL and Hadoop, and to formats such ...
- March 24, 2016
The Strata + Hadoop World conference focuses on big data management and analytics technologies, in particular the Hadoop distributed processing framework and Spark processing engine.
- March 16, 2016
Because of growing data demands, and the need to nimbly scale up and down, a startup social networking platform chose a Redis Labs NoSQL database management system running on AWS.
- March 02, 2016
Looking to better balance system stability and innovation, Hadoop distribution provider Hortonworks will follow two release 'cadences' for different component sets in its HDP package.
- February 29, 2016
Its collection of big-data processing features is priming the Apache Spark architecture for wider deployment. One key trait: Spark performance outpaces MapReduce in many Hadoop use cases.
- February 24, 2016
Numerous SQL-on-Hadoop engines are available for accessing data stored in HDFS using the familiar SQL language. They all look promising, they all support a rich SQL dialect, but which ones is the ...
- February 24, 2016
Amid the buzz at Spark Summit East 2016 in New York was word that the Spark data processing engine's stream processing architecture will be overhauled in the upcoming version 2.0 of the open source software.
- February 04, 2016
HR personnel oversee many of the perks that come with a job, such as paychecks and benefits; the elements that most people would rather avoid, such as firings and employee conflicts; and all things in between, such as education and training. Now, ...
- February 04, 2016
Hadoop has been slowly plodding through the big data jungle, but SQL's integration may put a spring in the elephant's step.
- February 03, 2016
Attention's been placed on Spark running on Hadoop, but there are Spark connectors for NoSQL that usher in a new class of operational analytics.