Perform advanced dashboard, visualization and analytical techniques with Tableau Desktop, Tableau Prep, and Tableau ServerAbout This Book
- Explore Tableau's latest offerings using the recipe-based approach
- Build visualizations that go beyond the default styles by leveraging advanced features and processing your data.
- Unique problem-solution approach to create powerful business intelligence dashboards to aid effective decision-making.
This book is for data analysts, data visualization and BI users who are looking for quick solutions to common and not-so-common problems faced while using Tableau. Put each recipe into practice by bringing the latest offerings of Tableau 2018.x to solve real-world analytics and business intelligence challenges. Some understanding of BI concepts and Tableau is requiredWhat You Will Learn
- Understanding the basic and advanced skills of Tableau Desktop
- Implement best practices of visualization, dashboard, and storytelling
- Learning advanced analytics with use of build in statistics
- Deploying the multi-node server on Linux and Windows
- Using Tableau with big data sources such as Hadoop, Athena, and Spectrum
- Cover Tableau built-in functions for forecasting using R packages
- Combine, shape, and clean the data for analysis using Tableau Prep
Tableau has been one of the most popular business intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This comprehensive book is full of useful recipes from industry experts that will help you master Tableau skills and learn each aspect of the Tableau's 2018.x offerings.
This book is enriched with features such as extracts, Tableau advanced calculations, geospatial analysis, building dashboards and many more. It will guide readers to exciting techniques of data manipulation, storytelling, advanced filtering, expert visualization, and forecasting using real-world examples. It will help readers from basic functionalities of Tableau, all the way to complex deployment on Linux. Moreover, the readers will learn advanced features of Tableau by using R, Python, and various APIs. The complexity of tasks increases gradually, and the reader is guided all the way to mastering advanced functionalities through bite-sized, detailed recipes. Moreover, the book is packed with troubleshooting techniques to optimize your business intelligence tasks.
You will learn how to prepare data for analysis using the latest Tableau Prep. By the end of the book, readers will be all ready to tackle business intelligence challenges using Tableau's features.
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About the Author
Dmitry Anoshin is an expert in DW/BI area with 10 years of experience in Analytics area. Start using Tableau as primary BI tool in 2011 as a BI consultant in Teradata and since it is the favorite and the most power BI tool. Currently, Dmitry works as BI/Data Engineer at Amazon and leads probably the biggest Tableau user community with more than 2000 active users - ATUG. This community has 2-3 Tableau Talks every month leading by the top Tableau experts, Tableau Zen Masters, Viz Champions and etc. In addition, Dmitry previously has written 3 BI books with Packt and reviewed more than 7 books. Finally, he is an active speaker at Analytics conferences.
Teodora Matic is data analyst with a strong background in statistics and more than 5 years of experience in data analytics and reporting. She has been using Tableau since 2014. She has been working as a project manager and data analyst for leading market research companies, such as Ipsos and EyeSee Research, levering the power of Tableau to bring business insights to clients. She currently does data analysis and reporting at International Committee of Red Cross.
Slaven Bogdanovic is a researcher with 10 years experience within both business and academic research. His expertise covers complex statistical analysis and insight communication. He has been using Tableau since 2013. He currently works as senior researcher executive in Ipsos. Also, Slaven is a Ph.D. candidate and member of a laboratory for research of individual differences at the University of Belgrade. In addition, Slaven is the author of 6 articles published in academic and professional journals.
Tania has over 12 years of development experience in business intelligence and data analytics domain, She has strong SQL, visualization, and analytics skill set and demonstrated the ability to mentor others on new technologies and process improvements. She is also experienced in taking a product from ideation to launch and manage post-launch growth
Kunal Arora is a Data Engineer who works on managing the big volumes of data and to evolve business insights out of the data. He deduces the architecture for managing the solutions, makes it scalable, uses the latest technologies so as to ensure we isolate and utilize the distributed environments. He completed his Bachelors in Technology in Electronics and Communication branch at Rajasthan Technical University. His area of research focuses on deducing the architecture of the software solutions, building the automated reporting solutions. He is an open source contributor and loves answering questions on Stack Overflow or Tableau Community.