MARC details
000 -LEADER |
fixed length control field |
04271cam a2200373Ii 4500 |
001 - CONTROL NUMBER |
control field |
1142307611 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20220204154145.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200227s2020 caua o 001 0 eng d |
019 ## - |
-- |
1142520137 |
-- |
1143645809 |
-- |
1148794863 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1484256204 |
Qualifying information |
(electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781484256206 |
Qualifying information |
(electronic bk.) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
Canceled/invalid ISBN |
9781484256190 |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4842-5 |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(OCoLC)1142307611 |
Canceled/invalid control number |
(OCoLC)1142520137 |
-- |
(OCoLC)1143645809 |
-- |
(OCoLC)1148794863 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
LQU |
Language of cataloging |
eng |
Description conventions |
rda |
-- |
pn |
Transcribing agency |
LQU |
Modifying agency |
GW5XE |
-- |
BNG |
-- |
OCLCQ |
-- |
EBLCP |
-- |
YDX |
-- |
MiTN |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HD38.7 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.165 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Clark, Dan, |
245 10 - TITLE STATEMENT |
Title |
Beginning Microsoft Power BI : |
Remainder of title |
a practical guide to self-service data analytics / |
Statement of responsibility, etc. |
by Dan Clark |
250 ## - EDITION STATEMENT |
Edition statement |
Third edition |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Berkeley, CA : |
Name of producer, publisher, distributor, manufacturer |
APress, |
Date of production, publication, distribution, manufacture, or copyright notice |
2020 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xv, 411 pages : |
Other physical details |
illustrations |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent. |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
Media type code |
n |
Source |
rdamedia. |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
Carrier type code |
nc |
Source |
rdacarrier. |
500 ## - GENERAL NOTE |
General note |
Includes index |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Chapter 1: Introducing Power BI -- Chapter 2: Importing Data into Power BI Desktop -- Chapter 3: Data Munging with Power Query -- Chapter 4: Creating the Data Model -- Chapter 5: Creating Calculations with DAX -- Chapter 6: Creating Measures with DAX -- Chapter 7: Incorporating Time Intelligence -- Chapter 8: Creating Reports with Power BI Desktop -- Chapter 9: Publishing Reports and Creating Dashboards in the Power BI Portal -- Chapter 10: Introducing Power Pivot in Excel. Chapter 11: Data Analysis with Pivot Tables and Charts -- Chapter 12: Creating a Complete Solution -- Chapter 13: Advanced Topics in Power Query -- Chapter 14: Advanced Topics in Power BI Desktop -- Chapter 15: Advanced Topics in Power BI Data Modeling |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Analyze company data quickly and easily using Microsofts powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals. Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsofts self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues. Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight. What You Will Learn: Simplify data discovery, association, and cleansing Build solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Dan Clark is a senior business intelligence (BI) and programming consultant specializing in Microsoft technologies. He is focused on learning new BI and data technologies and training others on how to best implement the technology. Dan has published several books and numerous articles on .NET programming and BI development. He is a regular spea ker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities. In a previous life, Dan was a physics teacher. He is still inspired by the wonder and awe of studying the universe and figuring out why things behave the way they do |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Business intelligence |
General subdivision |
Computer programs. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Business |
General subdivision |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Information visualization |
General subdivision |
Computer programs. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Visual analytics. |