Guide Open Source Data Warehousing and Business Intelligence

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  1. Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies
  2. Data Warehousing + Business Intelligence - Talend
  3. What is a Data Warehouse and Why Does It Matter To Your Business?
  4. Data Warehousing Software
  5. Data Warehousing and Business Intelligence: Benchmark Project for the Platform Selection

However the design of a robust data model is still a challenge:. Most practitioners never get to work on greenfield projects and to evaluate the alternative approaches, and are more familiar with the bad experiences of working with inelegant or expensive solutions. Texuna's extensive experience of building and engineering the right solution for any given situation gives us deep, unbiased expertise that can help you. Since then, we have worked with numerous major clients across the UK and Ireland. Our primary area of expertise is the delivery of data warehouses and management applications for non-profit Education and corporate sectors.

Our history shows our commitment to the big data, warehousing and Business Intelligence space while ensuring solutions are low risk, fit for purpose and reuse existing tools and expertise. Our agile methods and cloud-linked data pipeline design have been deployed and thoroughly tested on an industrial scale with huge amounts of sensitive data in secure environments. The foundations for all of our solutions are business drivers, governance and data quality improvements. Agile methods and user engagement ensures projects "keep it real" with continually meaningful increments to a warehouse over the life of the project.

Financial benefits: Huge savings are created through infrastructure as software, just-in-time resources, and the elimination of capital expenditure in favour of operating expenses. We work with customers to standardise their data pipelines and cleanse sources. This in turn drastically reduces troubleshooting time, while also speeding up productivity. Self-service facilities reduce the time to value for users, with a conformed warehouse providing a single accurate version of the truth, eliminating any debates over the meaning or location of data.

Cloud flexibility and Texuna metadata driven frameworks give simple support to changing business needs and changes in data pipelines.

Development of a Business Intelligence Environment for e-Gov Using Open Source Technologies

Software as a Service SaaS infrastructure provides ease of configuration, maintenance and scalability for changing demands. Data Warehousing.

What is Business Intelligence (BI)?

Top 5 BI Tools for Startups. This gives it a lot of options for a team with a mix of comfort levels with writing code, so power users can jump right in and write complex queries, while less-technical team members can still explore your data, generate visualizations and create dashboards. Chartio comes with over 20 pre-built data connectors for common sources like Google data, Azure, Amazon Redshift and social media data sources. If you want a speedy web-based interface that lets you build dashboards and visualizations with GUI and code-based options, Chartio might be the choice for you.

Chartio is also known for its documentation and tutorials, so if you have people on your team that might need a bit of extra studying to get up to speed, this could also be a differentiator for you.

What is a Data Warehouse?

Mode Analytics offers a web-based business intelligence suite aimed more at data scientists than business-minded analysts, but it has a strong focus on collaboration and sharing. In terms of data visualization, Mode makes it easy to make auto-updating dashboards whose styles and themes can be tailored on the fly, with a wide variety of built-in chart types.

Periscope Data by Sisense includes a full suite of charts and dashboard capabilities and also merges the analytics code trifecta of SQL, Python, and R making it a good bet for bridging an organization between traditional BI and data science. Whereas Mode really shines with collaboration, Periscope Data takes the edge with overall data management and data governance. If your organization needs to manage access to data both at the table level and the visualization level, Periscope has got you covered.

In addition to that, the Periscope Data Git integration adds another layer of trust and integrity to the whole data workflow. The company also recently merged with Sisense, meaning customers can expect to see the product grow rapidly and become a powerful tool for all departments, technical or otherwise.

Data Warehousing + Business Intelligence - Talend

Tableau also offers a set of over built-in functions for calculations and data analysis and a wide range of pre-built data connectors. Tableau shines on reporting and shareability, allowing users to share analyses easily within their organization while maintaining control over who has access. Tableau has one of the most robust mobile experiences of any of the data analytics tools on this list, so if your business intelligence team does a lot of its work on the go, Tableau might be the tool for you. Where other business intelligence tools put data visualization at the forefront of their offerings, Looker is more interested in letting its users explore their data in any way they want.

That may mean writing a lot of SQL queries for some users, but those interested in generating dashboards and visualizations will still find plenty to work with here as well.

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In general, Looker is geared toward a slightly more tech-savvy audience than some of the other tools here, with a built-in data modeling language LookML and git integration to extend and enhance SQL-based analysis. With its streamlined ELT, data management and analysis flow, Panoply offers a great platform for whatever business intelligence tools you use in your data workflow. Panoply offers more than native data integrations for a whole suite of data sources, including flat files, remote data sources and 3rd parties like MongoDB, ElasticSearch, Facebook, Instagram, Google Analytics, YouTube and others.

If data visualization and point-and-click business intelligence analysis is more your speed, Panoply offers seamless integration with Tableau, Looker and many other common BI tools. Zoho offers Zoho Analytics previously Zoho Reports , a self-service business intelligence tool that puts an emphasis on usability and automation. Those two things come together best in Zoho Analytics automated reporting function: after collecting and automatically checking your data for errors, gaps and other issues, the package will give you the option of automatically generating reports--without the user having to construct a single query.

This is a particularly good tool for a team with a democratized BI approach , where multiple approaches and levels of technical sophistication might come into play.

What is a Data Warehouse and Why Does It Matter To Your Business?

AnswerDock also applies its machine learning expertise to analysing your data directly, offering automated insight generation and trendspotting. Infragistics really did put an emphasis on usability in their development process, working closely with UX designers on every aspect of the interface. You can set ReportPlus up in either an on-premise or cloud-based deployment. SAP, which offers SAP Analytics Cloud , has been in the data world for decades and is in step with the move toward data democratization. As a business intelligence tool, Analytics Cloud offers a number of features that make it easier to use for general business users, starting with the way it talks about itself.

On the other hand, its low price point makes it more attractive than it would be otherwise. Yellowfin is another end-to-end business intelligence tool, offering a web-based ETL tool, storage solution and data visualization options all in one package.

As a business intelligence tool, Yellowfin offers an easy point-and-click interface for all levels of the process. The report generation workflow is highly automated, offering the possibility of making easy AI-powered dashboards that can alert you to signals and patterns in your data automatically. Power BI is a no-code platform, and offers both desktop and web clients.

Data Warehousing Software

Its library of pre-built connectors is not nearly as extensive as some of the other offerings here, but Power BI will be a great add-on for any Windows-centric data workflow, especially in combination with Azure. However, performance tends to lag on very large data sets, so you may want to look elsewhere if your data is really big. Domo offers a user-friendly, no-code interface for doing self-serve business intelligence tasks. Domo offers hundreds of native data connectors, making it easy to pull together data from multiple sources for analysis for processing in the cloud.

Domo really excels at data visualization, with over 85 different styles of visualization to choose from.

Data Warehousing and Business Intelligence: Benchmark Project for the Platform Selection

Sisense is a relatively new offering in the drag-and-drop analytics space that aims to offer an end-to-end solution for business intelligence. Sisense uses an in-chip as opposed to in-memory architecture to speed up data tasks from ingestion and cleaning to visualization and dashboard construction, making it easy to work with large datasets that might choke other data analytics platforms.

Sisense offers both on-premise and in-cloud installation options, and reviews indicate that installation is quick and simple, though the application can be somewhat heavy for certain on-premise deployments. Sisense could be a great option for you if your organization deals with large, evolving datasets, but its web-only reporting can make delivery of reports in other formats somewhat difficult. Datapine offers a two-in-one data integration and business intelligence tool, though it may shine more on the business intelligence side than on the data integration side.

With a set of over 50 pre-defined dashboard styles categorized by aesthetics, industry and function, Datapine makes the process of dashboard creation very simple and straightforward--if everything goes right, you can have a dashboard built on newly ingested data in just a few clicks. Probably the only one worth using, as far as many in the analyst community are concerned.

If you want a straightforward, sheet-based visual interface that will allow you to manually alter every single data point in your data set by clicking and typing, this is your tool.