Acharya / Chellappan

Pro Tableau

A Step-by-Step Guide
1st ed. 2016. Buch. xxiii, 845 S.: 31 s/w-Abbildungen, 1032 Farbabbildungen, Bibliographien. Softcover
Apress ISBN 978-1-4842-2351-2
Format (B x L): 17,8 x 25,4 cm
Gewicht: 1628 g
In englischer Sprache
Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert.

Pro Tableau demonstrates the power of visual analytics and teaches you how to:

- Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc.

- Write your own custom SQL, etc.

- Perform statistical analysis in Tableau using R

- Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.)

What you’ll learn

- Connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc.

- Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc.

- Integrate Tableau with R

- Tell a compelling story with data by creating highly interactive dashboards

Who this book is for

All levels of IT professionals, from executives responsible for determining IT strategies to systems administrators, to data analysts, to decision makers responsible for driving strategic initiatives, etc. The book will help those familiar with Tableau software chart their journey to a visualization expert.
lieferbar (3-5 Tage)
ca. 53,49 €
inkl. MwSt.
Showcases the connectivity of tableau to different Big Data sources such as Hadoop and various NoSQL databases as well as to multi-dimensional data structures such as SSAS cube, PowerPivot etc Our book will have in its scope the implementation of data mining algorithms such as association rule mining, clustering, etc. leveraging the integration of Tableau with R Focuses on topics as required from a developer perspective and share industry best tips and techniques