DataVision Home. ApatarForge - Apatar Open Source Data Integration Community. JMagallanes. Welcome to Magallanes.
The open source project JMagallanes is an end user application for Olap and Dynamic Reports written in Java/J2EE. It combines static reports (based on JasperReports), a Swing pivot table for OLAP analysis, and charts (based on JFreeChart). It reads from many data sources as SQL, Excel, XML, and others, and produces many outputs as PDF, XML, and application specific files for later off-line visualization of reports. Watch the demo video here.
Take advantage of the introductory offer of JMagallanes Products! Complete the new survey! With this initial deploy it is possible to use all the features offered by the tool, also making your own reports. J2EE support, with an EJB based release, and its corresponding client tool. To know more about the functionality, go to Features. If you want to see organizations that successfully implement JMagallanes, enter here. Talend. Sparklines for Excel® Open Studio: Improve Data Integration. Talend Open Studio for Data Integration helps you get your data to the right place, in the right form, at the right time.
The leading open source ETL solution for data warehousing and business intelligence, Talend Open Studio for Data Integration is: Powerful and versatile - Transform, move, and synchronize data across all your heterogeneous sources and targets.Easy to use - Start productive work right away with an intuitive interface rich in modeling tools, job-building components, and more than 450 data connectors, including the Cloud.Proven in the field - Hundreds of thousands of users manage their critical data with Talend Open Studio for Data Integration, from SMBs to some of the largest corporations in the world.Ready to start today - Talend Open Studio for Data Integration is free to download and use, for as long as you want.
CloverETL Designer Overview. Visualize data flows Place a sequence of components into the transformation graph and connect them with edges that channel data from one component to another.
Variety of flexible components Choose from a variety of highly configurable components to build your transformations. Manage assets Easily manage your assests like input data, shared metadata, connections, scripts, Java sources in CloverETL projects either in your local workspace or remotely on the CloverETL Server. BIRT Home. Jasperreports : JasperForge. Software Search.
File Reader and variable. Hi everyone, When I use the reader nodes (text, csv, SDF, etc...)
More and more I have to use the path or the name of the input file. But for the moment the ouput port of the reader nodes do not permit to obtain the URL or Location variable. So I use the List Files node to obtain the Location of the File. Reading multiple files. Hello, I am new to KNIME and I must say it is extremely useful.
I would appreciate any help for a problem I am facing. I have multiple SD files I would like to read in. Instead of using multiple "SDF Reader" nodes, I thought of using "List Files" and then "Iterate list of file" nodes. When I run the "List Files" node, I get a table with location and file names. Thanks in advance, Writing multiple files.
Hi all, I am trying to read multiple files, extraxt some data and write SD files.
I first use the nodes List Files and Iterate List of Files, then do the desired modifications. This works fine. I want now to give different names of the output files and relate them to the original file, e.g., if the original filename is 'filename1'.smi i want to have an output file 'filename1'.sdf. I tried the filename options in the SDF Writer and I either overwrite the original files or I get file names without the desired 'sdf' extension.
Thanks in advance for your hints. Predictive Analytics: When Big Data and Predictive Analytics Collide. Big Data is usually defined in terms of Volume, Variety and Velocity (the so called 3 Vs).
Volume implies breadth and depth, while variety is simply the nature of the beast: on-line transactions, tweets, text, video, sound, ... Velocity, on the other hand, implies that data is being produced amazingly fast (according to IBM, 90% of the data that exists today was generated in the last 2 years), but that it also gets old pretty fast. In fact, a few data varieties tend to age quicker than others. To be able to tackle Big Data, systems and platforms need to be robust, scalable, and agile.
It is in this context that IntelliFest 2012 came to be. Dr. Abstract: Predictive analytics has been used for many years to learn patterns from historical data to literally predict the future. Big data involves large amounts of structured and unstructured data that are captured from people (e.g., on-line transactions, tweets, ... ) as well as sensors (e.g., GPS signals in mobile devices). Resources: Automate reading csv files.