Top 21 Java based Content Management Systems

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21 Escenic



Customers of escenic include News of the World, The Sun, The Times, the Independent titles. It’s a closed source Java  framework.

Both Atex and Escenic are found to be highly popular in Sweden. Some of the biggest sites in Sweden use both these CMS. idg.se uses Atex and Aftonbladet.se uses Escenic

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22) Adobe Experience Manager/ CQ5  



Best CMS list cannot be completed without including adobe experience manager. It is an all-round CMS which offers all kinds of agility and flexibility an organization may want. It helps deliver unique customer experience by delivering different content on different channels.

Adobe Experience Manager was recently named a leader in web content management by Garnters magic quadrant. Earlier it was known as CQ5 but later was acquire by Adobe in 2010

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23) SDL Tridion



Again a well known CMS and highly recommended by industry experts. Its simple intuitive UI makes it simple to manage the content and deliver it uniformly across all channels. It recently received top score in overall content management experience according to an independent research firm - Forrester Research, Inc.,

This completes the list 23 top Java-based content management system. Hope after reading about all the CMS, you have got enough inferences and insight as to which CMS would be best for your website development project.

Published at DZone with permission of its author, Boni Satani.

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Report for Johnny Zhang - Christmas 2013
Subject        Teacher        Level        %        Place        Grade        Comment
  Religious Education             Mr. Killian O'Domhnaill                         95          1/18            A1           A most impressive result. Excellent detail and precise knowledge displayed.
  English             Mr. Shane Heslin                         78          5/18            B2           Johnny is a diligent student who is making pleasing progress in all aspects of his English work.
  Mathematics             Ms. Edith Kearney                         90          4/19            A1           This is an excellent result. Johnny is hardworking and diligent which is evident in this grade.
  History             Mr. Brendan Shalvey                         91          5/18            A1           Such a positive contribution made by Johnny - he works hard and is always willing to ask questions and debate ideas in class.
  French             Ms. Siobhan Barry                         77          7/18            B2           A good result. Johnny is a nice student who participates well in class.
  Business Studies             Mr. Denis A. Gibbons                         86          14/22            A2           An excellent result which is richly deserved. Well done Johnny.
  Geography             Mr. Eamon Jackman                         84          3/18            B1           An excellent result for Johnny. Has made a very diligent start to the subject and work is always to a high standard.
  CSPE             Ms. Helen Hickson                         82          6/17            B1           Johnny is obviously a very capable student and therefore should make more of an effort to participate in class.
  Science             Ms. Edith Kearney                         84          11/57            B1           This is a great start for Johnny. He is doing well in all three science subjects. Keep up the good work.
  Physical Education             Mr. Noel Murray                                  1/37                      Is a very competent athlete and has participated to a very high standard this term, well done.
  SPHE             Ms. Siobhan Barry                                  1/17                      
Academic Year Head   Ms. Derval Dooley

Johnny has set and maintained very high standards for himself - congratulations. This is a fine set of results and comments from all his teachers - fine testament to his hard work and diligence. Great to see that he makes such a fine contribution to History class, perhaps next term he will extend that participation to CSPE class as well? It is a very good sign of his diligence that he achieved study marks of 8 and 9 respectively in the 2 sets of HMR results. Congratulations on a super first term and have a very Happy Christmas! E. Keighary AAYH A most impressive set of results from a very capable young man. Keep up the excellent work in the new year. I am delighted that Johnny's hard work has paid off! Keep up the good work! Happy Christmas and best wishes for 2014! Ms Derval Dooley AYH
  Average this time             85.22  

Explanation of Headmaster's Reports
The system of Headmaster's reports has recently been reviewed by the Academic Year Heads. The following is an explanation of the scoring system which teachers will attempt to apply uniformly across all subjects.
9-10 - excellent
7-8 - very good
5-6 - good
3-4 - fair
1-2 - not working
The attainment grades are based on the scoring system used in the public exam system:
A means over 85%
B means 70-84%
C means 55-69%
D means 40-54% etc.
When calculating scores for diligence and grades for attainment, teachers will take into account:
Class-work (including participation, attentiveness etc.)
Homework/themes
Class tests
Discipline/behaviour
A student's scores will not be based on results of class tests alone although they may form an important part of the scoring.
M. Nugent
(Assistant Headmaster)

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Spark is a framework for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and inbuilt tools for interactive query analysis (Shark), large-scale graph processing and analysis (Bagel), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big data sets.

Fast Data Processing with Spark covers how to write distributed map reduce style programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API, to deploying your job to the cluster, and tuning it for your purposes.

Fast Data Processing with Spark covers everything from setting up your Spark cluster in a variety of situations (stand-alone, EC2, and so on), to how to use the interactive shell to write distributed code interactively. From there, we move on to cover how to write and deploy distributed jobs in Java, Scala, and Python.

We then examine how to use the interactive shell to quickly prototype distributed programs and explore the Spark API. We also look at how to use Hive with Spark to use a SQL-like query syntax with Shark, as well as manipulating resilient distributed datasets (RDDs).

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Table of Contents

Preface
Chapter 1: Installing Spark and Setting Up Your Cluster
Chapter 2: Using the Spark Shell
Chapter 3: Building and Running a Spark Application
Chapter 4: Creating a SparkContext
Chapter 5: Loading and Saving Data in Spark
Chapter 6: Manipulating Your RDD
Chapter 7: Shark – Using Spark with Hive
Chapter 8: Testing
Chapter 9: Tips and Tricks
Index
Preface
Up
Chapter 1: Installing Spark and Setting Up Your Cluster
Running Spark on a single machine
Running Spark on EC2
Running Spark on EC2 with the scripts
Deploying Spark on Elastic MapReduce
Deploying Spark with Chef (opscode)
Deploying Spark on Mesos
Deploying Spark on YARN
Deploying set of machines over SSH
Links and references
Summary
Up
Chapter 2: Using the Spark Shell
Loading a simple text file
Using the Spark shell to run logistic regression
Interactively loading data from S3
Summary
Up
Chapter 3: Building and Running a Spark Application
Building your Spark project with sbt
Building your Spark job with Maven
Building your Spark job with something else
Summary
Up
Chapter 4: Creating a SparkContext
Scala
Java
Shared Java and Scala APIs
Python
Links and references
Summary
Up
Chapter 5: Loading and Saving Data in Spark
RDDs
Loading data into an RDD
Saving your data
Links and references
Summary
Up
Chapter 6: Manipulating Your RDD
Manipulating your RDD in Scala and Java
Scala RDD functions
Functions for joining PairRDD functions
Other PairRDD functions
DoubleRDD functions
General RDD functions
Java RDD functions
Spark Java function classes
Common Java RDD functions
Methods for combining JavaPairRDD functions
JavaPairRDD functions
Manipulating your RDD in Python
Standard RDD functions
PairRDD functions
Links and references
Summary
Up
Chapter 7: Shark – Using Spark with Hive
Why Hive/Shark?
Installing Shark
Running Shark
Loading data
Using Hive queries in a Spark program
Links and references
Summary
Up
Chapter 8: Testing
Testing in Java and Scala
Refactoring your code for testability
Testing interactions with SparkContext
Testing in Python
Links and references
Summary
Up
Chapter 9: Tips and Tricks
Where to find logs?
Concurrency limitations
Memory usage and garbage collection
Serialization
IDE integration
Using Spark with other languages
A quick note on security
Mailing lists
Links and references
Summary
Up
Index

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Holden Karau is a transgendered software developer from Canada currently living in San Francisco. Holden graduated from the University of Waterloo in 2009 with a Bachelors of Mathematics in Computer Science. She currently works as a Software Development Engineer at Google. She has worked at Foursquare, where she was introduced to Scala. She worked on search and classification problems at Amazon. Open Source development has been a passion of Holden's from a very young age, and a number of her projects have been covered on Slashdot. Outside of programming, she enjoys playing with fire, welding, and dancing. You can learn more at her website ( http://www.holdenkarau.com), blog (http://blog.holdenkarau.com), and github (https://github.com/holdenk).

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Drupal is one of the most respected and widely used open source content management frameworks.  Small, medium, and large-scale websites are built using Drupal and the framework supports ecommerce, CRM, multisite and web service integrations.

Once you get your Drupal site installed and up and running, you will be concerned with site performance and how fast you can make your Drupal site run.  This book will focus on implementing performance modules and solutions to help speed up your Drupal website.

We will look at introductory topics such as upgrading your Drupal site, maintaining your site, and enabling core Drupal page compression and caching.

Then we will turn to an advanced look at some contributed modules that help speed up performance, including Development, Boost, Authcache, Advanced Cache, and the Memcache API and Integration module.

Finally, we’ll look at how best to implement a Drupal multisite environment and run it with high-speed performance in mind.

This book is designed for Drupal developers and webmasters who want to increase their Drupal site’s speed and performance.  You will take your Drupal site to the next level by not only displaying relevant and newsworthy content, but also running a powerful and high-speed website.

Vastly improve Drupal 6 performance through upgrades, caching, configuring and optimization using core and contributed modules. This title is a must-have for new Drupal users, developers, webmasters, system administrators, and even themers.