Business Intelligence Tools For Linux

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Business Intelligence Tools For Linux

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Functionality cookies allow websites to remember the user’s website preferences and choices they make on the website including username, region and language. This allows the site to provide customized features such as local news and weather if you share your location. BigQuery is one of the most popular data warehouses on the market. Because BigQuery is part of the Google Cloud Platform, in addition to scalability and cost-effectiveness, BigQuery customers are also generously endowed with many other advantages relative to other Google products.

High adoption of Google BigQuery is leading to many BI vendors optimizing their products to be compatible with this serverless, multi-cloud platform. Data analysts are gradually finding it harder to make heads or tails of the best fit for their companies.

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This post will help show the strengths and weaknesses of some of the most popular BI tools on the market that work well with BigQuery. Although careful testing is always recommended in the end, I hope this post will help you narrow down the scope of choice and thus save time and human resources trying all the tools.

If one talks about Google BigQuery, they would most likely mention Google Data Studio as the perfect complementary BI tool.

Since the two products belong to the same ecosystem, setting up their integration is a matter of seconds, which gives GDS a superior edge over its competitor.

Google Data Studio seems to target a set of semi-technical users who work with numbers and know Excel very well. They might even know some scripting language (Python, JS), but not technical enough to work on data infrastructure or build full reports from scratch, or build complex analysis that requires some SQL acrobatics.

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Next to Google Data Studio is , a powerful self-service BI tool. In addition to providing a powerful visualization layer that is easy to use for non-technical users, it also comes with a modeling layer that lets data analysts model and transform data in BigQuery and many other SQL data warehouses.

Offers a free version to start with and it only charges when your team’s needs grow (need to ask more questions, use more advanced analytics features).

Compared to other freemium products in the same BI landscape such as PowerBI, Tableau or Looker, ‘pricing is the most attractive and predictable. You may want to refer to our prices here.

PowerBI is quite well known in the BI industry, especially for businesses that adopt the Microsoft ecosystem. It supports an impressive number of data sources, giving companies the power to centralize their data in one place.

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PowerBI has a user-friendly interface with amazing data visualization capabilities. It will work best if you are already familiar with Microsoft products.

Another Google Cloud Platform product, Looker is a powerful BI tool that provides an innovative approach for real-time data exploration and analysis.

If you’re looking for a tool to centralize your business data, look no further because Looker, with its semantic modeling layer, can help you apply business logic to your data and create a single source of truth for every team to use.

For a more detailed list and analysis of BI tools, check out: Best Reporting Tools for Microsoft SQL Best PostgreSQL BI & Data Visualization Tools Top 10+ Best Built-in BI Tools Open Source BI and Reporting Tools For Your Analytics Stack 5 .Table

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When it comes to data visualization, Tableau is the champion of my heart. Although the setup process might be quite overwhelming for newbies, once you get used to it, you will find that there is a long way for other tools in the market to compete with Tableau in this aspect.

This is simply because Tableau has dominated the market with their highly interactive dashboards, along with their huge library of images and supported metadata (check out their built-in map data!)

When trying out any of the above tools, remember to use real-world usage to see if the tool can really match your day-to-day requirements. Some features might sound impressive, which can lure you into the trap of rationalizing its usefulness in the future by inventing edge cases that rarely happen in real life. This is also my mistake when you try those tools, and I hope you never reinvent the wheel.

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“I’m shocked to tell you: I read a free ebook from a company and actually loved it.” – Mark, Data Engineer @wefoxBusiness Intelligence, commonly known as BI, is the process of collecting, analyzing and presenting data to make informed business decisions. BI helps organizations transform their raw data into meaningful insights that can drive their business strategies. BI provides a range of benefits to organizations, including improved decision making, increased efficiency and better resource utilization.

BI Dashboards are an essential part of BI tools that provide a visual representation of complex data. A BI dashboard is a data visualizer that displays KPIs, metrics and other data points in an easy-to-understand format. Dashboards help organizations track

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