Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record of implementing business and digital intelligence projects across retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in data integration and is proficient in various data warehousing methodologies. Dmitry has consistently exceeded project expectations across the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relational databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics. Jean-Charles (JC) Gillet is a seasoned business analyst with over 7 years of experience with SQL at both a large-scale multinational company in the United Kingdom and a smaller firm in the United States, and 5 years of Tableau experience. He has been working with Tableau and SQL for multiple years to share his expertise with his colleagues, as well as delivering SQL training. A French national, JC holds a master's degree in executive engineering from Mines ParisTech and is a Tableau Desktop Certified Associate.In his free time, he enjoys spending time with his wife and daughter (to whom he dedicates his work on this book) and playing team handball, having competed in national championships. Fabian Peri's interest in decision analysis started after joining his first fantasy basketball league in 2006. His love for data analysis led him to pursue an MBA in information systems at the University of Tulsa, and then an MSc in predictive analytics from Northwestern University. Since graduating, he has primarily worked in risk analysis and management for companies such as Amazon, GE Capital, and Wells Fargo. He is currently focused on using visualization to explore and interpret vast quantities of data. Radhika Biyani is currently working as a recruitment insights analyst with Amazon. Before this, she worked as an analytics consultant with Version 1, where she consulted on several large-scale BI and analytics projects with clients across various industry verticals such as HR, finance, utility, supply chain, and more. She holds a master's degree in business analytics and has many certifications, including Tableau Qualified Associate. She enjoys attending meetups and is an active member of many meetup groups, including Tableau User Group Dublin. Gleb Makarenko began using Tableau in 2018 and quickly fell in love with how intuitive and easy to use the software was. He was able to easily adapt to its interface and create powerful visualizations. That is when he decided to get certified on Tableau software in order to receive proper credentials that he could use on his resume, as well as learn about the intricacies of the software that he wasn't using at the time. With a bit of effort and research, Gleb was able to complete the examination. And he recommends the same to anyone who is serious about working with Tableau.

• Table of ContentsBuilding Your Data ModelWorking with WorksheetsAnalyzing Data Using ChartsVisualizing Geographic DataUnderstanding Simple Calculations in TableauTableau Table CalculationsLevel of Detail ExpressionsLeveraging Analytics CapabilitiesBuilding Your Dashboards

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record of implementing business and digital intelligence projects across retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in data integration and is proficient in various data warehousing methodologies. Dmitry has consistently exceeded project expectations across the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relational databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics. Jean-Charles (JC) Gillet is a seasoned business analyst with over 7 years of experience with SQL at both a large-scale multinational company in the United Kingdom and a smaller firm in the United States, and 5 years of Tableau experience. He has been working with Tableau and SQL for multiple years to share his expertise with his colleagues, as well as delivering SQL training. A French national, JC holds a master's degree in executive engineering from Mines ParisTech and is a Tableau Desktop Certified Associate.In his free time, he enjoys spending time with his wife and daughter (to whom he dedicates his work on this book) and playing team handball, having competed in national championships. Fabian Peri's interest in decision analysis started after joining his first fantasy basketball league in 2006. His love for data analysis led him to pursue an MBA in information systems at the University of Tulsa, and then an MSc in predictive analytics from Northwestern University. Since graduating, he has primarily worked in risk analysis and management for companies such as Amazon, GE Capital, and Wells Fargo. He is currently focused on using visualization to explore and interpret vast quantities of data. Radhika Biyani is currently working as a recruitment insights analyst with Amazon. Before this, she worked as an analytics consultant with Version 1, where she consulted on several large-scale BI and analytics projects with clients across various industry verticals such as HR, finance, utility, supply chain, and more. She holds a master's degree in business analytics and has many certifications, including Tableau Qualified Associate. She enjoys attending meetups and is an active member of many meetup groups, including Tableau User Group Dublin. Gleb Makarenko began using Tableau in 2018 and quickly fell in love with how intuitive and easy to use the software was. He was able to easily adapt to its interface and create powerful visualizations. That is when he decided to get certified on Tableau software in order to receive proper credentials that he could use on his resume, as well as learn about the intricacies of the software that he wasn't using at the time. With a bit of effort and research, Gleb was able to complete the examination. And he recommends the same to anyone who is serious about working with Tableau.

• Table of ContentsBuilding Your Data ModelWorking with WorksheetsAnalyzing Data Using ChartsVisualizing Geographic DataUnderstanding Simple Calculations in TableauTableau Table CalculationsLevel of Detail ExpressionsLeveraging Analytics CapabilitiesBuilding Your Dashboards

Dmitry Anoshin is a data-centric technologist and a recognized expert in building and implementing big data and analytics solutions. He has a successful track record of implementing business and digital intelligence projects across retail, finance, marketing, and e-commerce. Dmitry possesses in-depth knowledge of digital/business intelligence, ETL, data warehousing, and big data technologies. He has extensive experience in data integration and is proficient in various data warehousing methodologies. Dmitry has consistently exceeded project expectations across the financial, machine tool, and retail industries. He has completed a number of multinational full BI/DI solution life cycle implementation projects. With expertise in data modeling, Dmitry also has a background and business experience in multiple relational databases, OLAP systems, and NoSQL databases. He is also an active speaker at data conferences and helps people to adopt cloud analytics. Jean-Charles (JC) Gillet is a seasoned business analyst with over 7 years of experience with SQL at both a large-scale multinational company in the United Kingdom and a smaller firm in the United States, and 5 years of Tableau experience. He has been working with Tableau and SQL for multiple years to share his expertise with his colleagues, as well as delivering SQL training. A French national, JC holds a master's degree in executive engineering from Mines ParisTech and is a Tableau Desktop Certified Associate.In his free time, he enjoys spending time with his wife and daughter (to whom he dedicates his work on this book) and playing team handball, having competed in national championships. Fabian Peri's interest in decision analysis started after joining his first fantasy basketball league in 2006. His love for data analysis led him to pursue an MBA in information systems at the University of Tulsa, and then an MSc in predictive analytics from Northwestern University. Since graduating, he has primarily worked in risk analysis and management for companies such as Amazon, GE Capital, and Wells Fargo. He is currently focused on using visualization to explore and interpret vast quantities of data. Radhika Biyani is currently working as a recruitment insights analyst with Amazon. Before this, she worked as an analytics consultant with Version 1, where she consulted on several large-scale BI and analytics projects with clients across various industry verticals such as HR, finance, utility, supply chain, and more. She holds a master's degree in business analytics and has many certifications, including Tableau Qualified Associate. She enjoys attending meetups and is an active member of many meetup groups, including Tableau User Group Dublin. Gleb Makarenko began using Tableau in 2018 and quickly fell in love with how intuitive and easy to use the software was. He was able to easily adapt to its interface and create powerful visualizations. That is when he decided to get certified on Tableau software in order to receive proper credentials that he could use on his resume, as well as learn about the intricacies of the software that he wasn't using at the time. With a bit of effort and research, Gleb was able to complete the examination. And he recommends the same to anyone who is serious about working with Tableau.

• Table of ContentsBuilding Your Data ModelWorking with WorksheetsAnalyzing Data Using ChartsVisualizing Geographic DataUnderstanding Simple Calculations in TableauTableau Table CalculationsLevel of Detail ExpressionsLeveraging Analytics CapabilitiesBuilding Your Dashboards