Business Intelligence Stating Tools Birt

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Business Intelligence Stating Tools Birt – Table of Contents Introduction The Sample Code Calling the BIRT Engine from MVC Accessing Beans from the BIRT Viewer Using Remoting to Access Beans from a BIRT Report Conclusion Attachments Downloads andBirtCoreJar.zip BirtArticleSamples.zip

Introduction Eclipse’s Business Intelligence and Reporting Tools (BIRT) project is an open-source project based on the popular Eclipse IDE. The BIRT project had its first major release in the summer of 2005 and has garnered over ten million downloads since its inception. The project was started by Actuate Corporation which uses BIRT as the basis for many of its commercial products. The BIRT project site contains an introduction, tutorials, downloads and examples of using BIRT.

Business Intelligence Stating Tools Birt

Developers use BIRT to build and deploy reports in a Java/Java EE environment. A new POJO-based runtime environment is available in BIRT 3.7, which makes deployment of the BIRT engine much easier. This article discusses various BIRT integration scenarios that use components from the framework.

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The framework is a popular collection of architectural and implementation approaches that make enterprise Java development easier. Core parts of this framework are Dependency Injection and Aspect Oriented Programming. These are exploited to reduce the coupling between the infrastructure-specific parts of an application and the business functionality that is its primary purpose. The framework is developed in an open source manner by the Source business unit within VMware (the original SpingSource company was acquired by VMware in 2009). It is in very wide use in the Java developer community and runs on all platforms, including VMware’s supported Tomcat flavor, called tcServer.

While the framework provides many useful features, most questions regarding integration with BIRT revolve around MVC and bean access within a report. This article covers three scenarios:

This article assumes that the reader has programming knowledge of both BIRT and the Framework. To learn more about the framework, check out the Green Beans blog series.

Each scenario has an associated example attached to this article that was built and tested using the following components:

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Throughout this article, the various integration scenarios refer to a generic bean that provides data to a BIRT report. The framework contains many sophisticated data access components, but this simple example is a useful learning tool for more complicated scenarios. In the example code there are two packages:

. The example package contains simple code that can be replaced with your own data access objects. The core package contains a view for running and rendering BIRT reports, a parameter converter class that converts report parameters entered in the URL to the appropriate BIRT report parameter type, and a BIRT Engine Factory that provides the Report Engine to other beans delivers. The example classes are shown below and will be used throughout this article. The core classes are described in the next section.

We’ll start with a simple POJO that will be used in our BIRT reports. It is named Car and contains simple properties for describing a car. You need to make sense of your data, and you need a budget-friendly way to do that, then an open-source business intelligence tool is obviously your top of mind.

But before you try out a bunch of open-source BI tools (which can be time-consuming, even with articles like this one defining pros and cons), let’s take a step back and dive into the categorization of the BI space.

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We insist that, because a taxonomy is useful for the business intelligence space, it allows you to quickly place the tool in the first minutes after browsing the website of a vendor. The business intelligence landscape can be incredibly confusing, as tools from previous paradigms remain for a long, long time, so a categorization scheme in your head needs to cut through all that noise.

Explaining the differences between SQL and non-SQL BI, or modeling vs. non-modeling BI would make a wall of text, so we’ll have to make a dedicated blog post for that. Check out: Navigating the Business Intelligence Space – a complete guide.

Preset is a fully hosted BI tool for Apache Superset. Apache Superset is an open source software application for data exploration and data visualization capable of handling data on a petabyte scale. Preset was launched as a hackathon project at Airbnb in the summer of 2015.

Lightdash is a relatively new open-source business intelligence solution that can connect to a user’s dbt project and allow them to add metrics directly at the data transformation layer, then create and share insights with the entire team.

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Comes with a code-based modeling layer with self-service data exploration. is 100% cloud-based, provides a centralized data modeling approach for BI teams, and enables business users who don’t know SQL can do

Similar to Lightdash and Looker, is also dev-friendly: you can write code (DSL) to define your analytics logic, and check it in Git version control for better governance, or synchronize your logic with dbt integration. Plus, it has a pay-as-you-go pricing model so it’s risk-free.

Helical Insights is an open-source BI tool that has a very unique approach to self-service analysis by introducing a BI platform that allows end users to leverage API to add any functionality as per requirement.

On Capterra, Helica Insights has a rating of 5.0. Most users love its clean design and visual appeal. Customer support was also cited as one of Helica’s forte.

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BIRT, which stands for “Business Intelligence Reporting Tool”, is an open-source and top-level software project within the Eclipse Foundation. BIRT pulls data from various data sources that can be used for reporting and visualization.

Reviews on Capterra reveal that while BIRT is functionally adequate for report generation, its analytics capabilities and customer service often fall short of expectation and there is a steep learning curve.

Jaspersoft is a customizable and developer-friendly business intelligence platform that allows developers to build analytical solutions that meet business requirements.

On Capterra, Jaspersift has a 4.3 rating. Many users praised the tool for being highly customizable and generally great for Java developers. On the other hand, some a lack of support in the community for specific problems as well as an unintuitive design interface Jaspersift the weakness.

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KNIME is a scalable enterprise-level software focused on empowering data science teams to create real business value. Knime provides powerful tools that enable data teams to collect data, model and deploy and manage the results through to visualization and insight generation.

On review platforms, KNIME has a rating of 4.6/5. The most favorable review the variety of native tools for data processing, user-friendly UI and machine learning capabilities. Limited visualization options and high memory usage are cited as the biggest turn offs for users.

Related articles: Top Best Reporting Tools for Microsoft SQL Top Analytics and BI Tools for Snowflake BI and Reporting Tools For Amazon Redshift: An Analysis Best Open-Source & Affordable Alternatives To Looker 07. SpagoBI

SpagoBI is an open source BI tool that allows users to combine and distill traditional data and big data sources into actionable insights on data exploration, data preparation, self-service data, ad-hoc reporting, and much more.

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On review platforms like Capterra or G2, users generally like Spago’s accessibility because it allows organizations with tight budgets to access a powerful BI tool with tons of features. The biggest drawback stated by its users is the difficulty of configuring various BI elements as they require scripting knowledge.

ReportServer is a free BI platform that operates under a GPL license. This means that anyone can use ReportServer in their organizations for free. However, offers for service and support as well as commercial licensing options are also available.

On G2, the report server has a 4.2 rating. Most users favor the integration with various reporting engines as well as the ability to use scripts for automation. At the same time, expensive license and incomplete documentation are mentioned as disadvantages of this platform.

Tableau Public is the free version of Tableau that allows users to share and explore public data visualizations online. Users can create visualizations using either Tableau Desktop Professional Edition or the free Public Edition.

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On G2, Tableau Public has a 4.4 rating. Many have praised its variety of visualization options and ease of use, while complaints are mostly about the limited connectors available.

Abixen is a microservices-based software platform for creating enterprise applications. Abixen allows users to implement a new, separate microservice by creating new functionalities. Abixen’s organizational division consists of pages and modules and one of the functional modules is the Business Intelligence Service.

FineReport is a free BI tool that enables users to query, analyze, manage and visualize data from various data sources.

On Capterra, FineReport has an overall rating of 5.0. Most users like its ease of use, strong data connectivity, and interactive visualizations. The downside, according to users, is the lack of self-service reporting.

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