Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here's how to choose between them
d e v o n
Not today Justin

No title available

祝日 / Permanent Vacation

Love Begins
will byers stan first human second

Janaina Medeiros
Stranger Things
dirt enthusiast

Kaledo Art

No title available
NASA
TVSTRANGERTHINGS
todays bird

Kiana Khansmith

Product Placement
$LAYYYTER
Sade Olutola
occasionally subtle
almost home

seen from Malaysia
seen from United States

seen from Australia

seen from Malaysia

seen from Germany

seen from United States

seen from United States
seen from Chile
seen from United States
seen from United States
seen from United States

seen from Australia

seen from United States
seen from United States
seen from Italy

seen from United States
seen from United States

seen from Netherlands
seen from United States

seen from Japan
@drthomaslee
Real-time business intelligence is going mainstream, thanks in part to the Storm and Spark open source projects. Here's how to choose between them
A look on three major scala web frameworks.
During last few evenings I have evaluated two of the well known frameworks: Spray REST/HTTP framework developed in Scala on top of Akka AND Scalatra - Web application framework developed in Scala...
An open-source toolkit for REST/HTTP and low-level network IO on top of Scala and Akka
English 日本語 Getting Started with Apache Spark and Cassandra What is Apache Spark? The standard description of Apache Spark is that it’s ‘an open source data analytics cluster computing framework’. Another way to define Spark is as a VERY fast in-memory, data-processing framework – like lightning fast. 100x faster than Hadoop fast. As the volume and velocity of data collected from web and mobile apps rapidly increases, it’s critical that the speed of data processing and analysis stay at least a step ahead in order to support today’s Big Data applications and end user expectations. Spark offers the competitive advantage of high velocity analytics by way of stream processing large volumes of data, versus what has been traditionally a more heavily “batch-oriented” approach to data processing as seen with Hadoop. Spark also provides a more inclusive framework allowing for multiple analytics processing options including: fast interactive queries, streaming analytics, graph anal
Gregor Roth Software Architect at United Internet Gregor is a software architect at United Internet, a leading European internet specialist. He has
We recently introduced acceptance test driven development (ATDD) at a client. The idea was for the product owners, developers, and testers to work as a team to come up with the acceptance criteria ...
If you want your Business Analyst to provide some acceptance tests for your implementation it would be best to make sure you get it in some form your …
Documentation for developers and administrators on installing, configuring, and using the features and capabilities of Apache Cassandra scalable open source NoSQL database.
Install using Yum repositories on RHEL, CentOS, and Oracle Linux.
This article explores some of Java 8’s new features, using both Java’s proposed syntax and Scala. We cover lambda expressions, higher-order functions, parallel collections and virtual extension methods aka traits. Besides this, we will provide insights into the new paradigms integrated in Java 8, such as functional programming.