"Using State in Actors" is new to Akka in Action + 45% off
Grails in Action, Second Edition MEAP Update + 44% off
CoffeeScript in Action, has been updated with a new Ch 11 and a new TOC + 44%
So we thought we’d get to know more about the man behind the book itself!
We thought we'd get to know a little more about the author!
What is SPARQL?
by David Wood, Marsha Zaidman, Luke Ruth, and Michael Hausenblas, authors of Linked Data
SPARQL is the query language for RDF and Linked Data. SPARQL is to RDF data as the Structured Query Language (SQL) is to a relational database. SPARQL's name is nicely pronounceable and sounds interesting and fresh. SPARQL is interesting and fresh. This article, based on chapter 5 from...
Spring is most popular Java framework and has the Spring Data plug-in, its goal is do a high level layer among Java application and information center such SQL, NOSQL, bigdata, etc. Know more how it works Spring Data on Cassandra.
Cassandra is an open source column oriented nosql database. It was born to solve problems with persistence and high performance. Cassandra has been used by many companies in many industries for a wide variety of use cases. In addition it has a strong and thriving community supporting it.
We will be having a special series of events throughout Brazil in the first week of September. Each day...
One of the first things we did as we began to learn about Java was to create our own library of Java books.
Every member of the development team was given the chance (and funding) to build their own collection of books.
In time, these book collections became a sort of "comfort blanket" for the developers.
In addition to being a valuable source of reference material,
these collections act as a...
According to research, most complex report development work can be simplified by performing the data source computation in advance. For example, find out the clients who bought all products in the given list, and then present the details of these clients.
In developing such reports, it is the “computation” part and not the “presentation” part that brings about major difficulties. In which stage...
In report development, we may need to present the data from multiple databases in one report, such as data from MSSQL database for CRM and Oracle database for ERP. If the reporting tool like iReport only supports single data source, then we need to consolidate the multiple data sources into a single data source.
The Crystal, BIRT, and other so-called reporting tools for multiple data source can...
In the process of Java development, programmers will come across data computation. But Java alone is not convenient to handle such computation. SQL has limited impact on improving the computational efficiency for Java. In this case, a new way is needed.
In the process of Java development, programmers may come across complex set operations and Java alone is not powerful enough to easily handle such problem. Dynamic calculation script is good solution. In this post, I'll introduce how to conduct such computation in a simple way.
Acteur is a pattern for pipelining work - a little DI functional goodness for Java. I might have been speaking Swahili when I wrote about Acteur last month. So here's a simple explanation of the design pattern behind it, with a simple sample project.
Atlassian has made some seriously great products, for example the project tracker JIRA. We recently upgraded our rather archaic version of JIRA at Magnolia to the latest and greatest offering. Everyone in the team found something in this upgrade. Some of us were desperate to use GreenHopper, others were looking forward to a better LDAP integration, and my personal favourite was the new REST API...
The data computation layer of Java aims to reduce the coupling between data persistent layer and the application layer and shift the computational workload from them. In this survey, 5 data computation layers of Hibernate, esProc, SQL, iBATIS, and R language are tested and compared on the basis of the below metrics: maturity, low coupling, scripting, integration, UI friendliness, performance, complex computation, support for big data, non-database computation, cross-database computation, and convenience for debugging.
Big data will fall into the pitfall of failure. But why big data will fall into the pitfall of failure? It is because the current big data only provides the solution for data storage and query. It lacks a good solution for business analysis to enhance the competitiveness, which is the most crucial. How to avoid the pitfall?
In this blog entry I outline the steps necessary to deploy JAX-RS (JSR 311) RESTful web services to the Oracle Cloud. We'll be using Jersey, which is the reference implementation for JAX-RS, and JDeveloper, which is my primary Java IDE.
A quick, hopefully readable analysis of this week's security exploit and fix over at my new blog