Birt Job Business Intelligence Software – Business intelligence tools provide analytics and visualization capabilities that allow end users to analyze their data. They can vary in complexity, ease of use, and feature sets, but all are designed to help reveal insights visually.
For those interested in open source BI tools, they fall into two general categories: software projects developed and maintained by a community and those created by a software company. In the latter case, an open source or community version may be a more limited version of another commercial product, or additional additional tools may be purchased.
Birt Job Business Intelligence Software
The Eclipse Business Intelligence Reporting Tool (BIRT) is an open source project to provide a platform for reporting functionality and data visualization. It includes a visual report designer and a chart engine. The designs you create can be used across multiple data sources.
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Apache Superset is a “modern data exploration and visualization platform. It’s an open source project with options including built-in visualizations, charts, and interactive dashboards. It is lightweight, flexible to connect to any SQL-based data source, and highly scalable.
Seal Report is an open source project framework for daily reporting from any database, providing basic queries, tables and web reports. It differs from other tools in that it was developed for the Microsoft .Net Framework.
Jaspersoft Business Intelligence Suite Community Edition is a platform that consists of different parts. JasperReports is the report server, which can generate analyzes for embedding or other sharing. The BI Suite also includes Jaspersoft Studio, an Eclipse-based report designer with a visual report design interface that lets you create complex layouts and preview your data. Jaspersoft BI Suite Commercial Edition includes additional functionality, including ad hoc and dashboard design.
Metabase is a software vendor that offers stripped-down, free open source software with intuitive, user-friendly charts, dashboards, visualizations, and scheduling. They also offer a variety of paid tiers that can be used from the cloud or on-premises with additional functionality.
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ReportServer Community allows you to access a variety of tools within a single platform interface. Within ReportServer, you can use some of the different reporting tools listed above, such as Eclipse BIRT or JasperReport, as well as other reporting tools and an OLAP server. The ReportServer Enterprise edition provides additional functionality for a fee.
The KNIME Analytics Platform is a leading platform that provides ease of use for beginners and powerful tools for more experienced professionals. It uses a visual workflow and a low-code/no-code interface while offering the ability to code or use ML libraries for advanced practitioners. KNIME Hub is business software that can be added for additional capabilities.
Helical Insight Community Edition is a simplified version of their BI platform, with basic reporting and scheduling. The Premium Enterprise Edition provides access to user-driven designers, search-driven analytics, and custom reports.
Powered by Apache Superset, Preset Cloud is a fully managed service for creating custom, interactive analytics, with visual or SQL-based queries, dashboards and visualizations. The free version allows up to 5 users.
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FineReport is a reporting tool that allows users to design and create reports and publish them to a report server for viewing on a variety of devices, including mobile apps or large presentation screens. The fully functional application is free for personal use; pricing is available for commercial use.
SQL Power Wabit prioritizes simplicity and ease of use, while offering tools that meet the needs of everyday analysis: reports, custom dashboards, ad-hoc queries. Users do not need SQL knowledge and can use the drag and drop interface instead.
Pentaho Community Edition is a downgraded version of Hitachi Vantara’s Pentaho Enterprise Edition. The community version allows you to create a variety of data visualizations using the report designer.
Some of the best data teams are investing in data visibility before using an open BI tool. Data comes in fast and messy, and it only takes one instance of conflicting or fake data to lose confidence in your BI reports.
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Deploying a data analytics solution first like Monte Carlo provides insight into the health, usage and lineage of your data, leading to insights that help you unlock the most value from your data.
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Data validation vs. data quality monitoring vs. Data Visibility: What’s Right for Your Team? In the fight against bad data and broken pipelines, there are several popular options. But what makes the most sense for your data quality needs? We’ve got the answers. More information Eclipse’s Business Intelligence and Reporting Tools (BIRT) project is an open source project based on the popular Eclipse IDE and is used to build and deploy reports in a Java/J2EE environment. Some of the main downloads available with the project are:
The BIRT project was first released in the summer of 2005 and has had over a million downloads since its inception. To learn more about the BIRT project, see http://www.eclipse.org/birt, which includes an introduction, tutorials, downloads, and examples of using BIRT.
We begin by first describing the BIRT Designer, which is used to build report designs, and finish by discussing the example BIRT Viewer, which is used to deploy the designs and generate finished reports.
At the heart of BIRT is the Report Designer, which is a set of Eclipse plug-ins that form a designer’s perspective that provide drag-and-drop capabilities for quickly designing reports. The report design is created and stored in XML format.
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This Eclipse perspective contains multiple Eclipse Views that provide functionality to create a report. These considerations are outlined below.
The report editor is used to build the report and acts as a canvas for positioning and formatting report elements. Within this view are tabs for Layout, Main Page, Script, XML Source, and Preview.
Before generating a report, data sources usually need to be set up. To facilitate this task, BIRT offers the Data Explorer View.
This Eclipse view allows the designer to add data sources and datasets to the report design. Essentially, a data source is just the connection. The data set can be thought of as an executed query and the specific columns it returns.
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BIRT provides drivers for JDBC, XML, flat files, and scripting data sources. With the release of BIRT 2.2, BIRT also offers a data source web service and an improved flat file driver that now supports CSV, TSV, SSV and PSV file formats.
BIRT also provides a special data set called a Joint Data Set that allows existing data sets to be joined using inner and outer joins. This feature is very useful when you combine datasets from different data sources. In addition, BIRT data sources now support the ability to link or import locally stored connection profiles to allow sharing of connection credentials between reports.
Report parameters can be static or dynamic. Static parameters are parameters that allow the user to select from predefined values or enter a desired value, for example, in a text box. Dynamic parameters are parameters that can be data bound to the current BIRT data set. For example, a user can select a customer from a list of customers provided by a dataset.
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In addition, BIRT supports function parameters that allow multiple lists/combo boxes to be displayed with each subsequent picklist modified with previously selected values. For example, a function variable might present a customer list in the first list box and orders for a specific customer in a second list box.
With BIRT 2.2, dynamic parameters now support the use of Java Script expressions for the parameter’s text and value. This enhancement allows the parameter list to be presented to the end user in a much more logical manner. For example, when developing an order detail report, you might want to present a dynamic parameter list of all orders. The expression would allow you to add a customer name for each order. Figure 5 shows a dynamic parameter list.
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