Autore	Leblanc Patrick
Edizione	[1st edition]
Pubbl/distr/stampa	Indianapolis, Indiana : , : Wiley, , 2015
Descrizione fisica	1 online resource (432 p.)
Disciplina	658.47028
Soggetto topico	Business intelligence - Computer programs Business planning
ISBN	1-118-96178-1 1-118-96179-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Cover; Title Page; Copyright; Contents; Introduction; Part I Overview of the Microsoft Business Intelligence Toolset; Chapter 1 Which Analysis and Reporting Tools Do You Need?; Selecting a SQL Server Database Engine; Building a Data Warehouse; Selecting an RDBMS; Selecting SQL Server Analysis Services; Working with SQL Server Reporting Services; Understanding Operational Reports; Understanding Ad Hoc Reporting; Working with SharePoint; Working with Performance Point; Using Excel for Business Intelligence; What Is Power Query?; What Is Power Pivot?; What Is Power View?; Power Map Which Development Tools Do You Need?Using SQL Server Data Tools; Using SQL Management Studio; Using Dashboard Designer; Using Report Builder; Summary; Chapter 2 Designing an Effective Business Intelligence Architecture; Identifying the Audience and Goal of the Business Intelligence Solution; Who's the Audience?; What Is the Goal(s)?; What Are the Data Sources?; Using Internal Data Sources; Using External Data Sources; Using a Data Warehouse (or Not); Implementing and Enforcing Data Governance; Planning an Analytical Model; Planning the Business Intelligence Delivery Solution Considering Performance Considering Availability; Summary; Chapter 3 Selecting the Data Architecture that Fits Your Organization; Why Is Data Architecture Selection Important?; Challenges; Benefits; How Do You Pick the Right Data Architecture?; Understanding Architecture Options; Understanding Research Selection Factors; Interviewing Key Stakeholders; Completing the Selection Form; Finalizing and Approving the Architecture; Summary; Part II Business Intelligence for Analysis; Chapter 4 Searching and Combining Data with Power Query; Downloading and Installing Power Query; Importing Data Importing from a Database Importing from the Web; Importing from a File; Transforming Data; Combining Data from Multiple Sources; Splitting Data; Aggregating Data; Introducing M Programming; A Glance at the M Language; Adding and Removing Columns Using M; Summary; Chapter 5 Choosing the Right Business Intelligence Semantic Model; Understanding the Business Intelligence Semantic Model Architecture; Understanding the Data Access Layer; Using Power Pivot; Using the Multidimensional Model; Using the Tabular Model; Implementing Query Languages and the Business Logic Layer Data Analytics Expressions (DAX)Multidimensional Expressions (MDX); Direct Query and ROLAP; Data Model Layer; Comparing the Different Types of Models; Which Model Fits Your Organization?; Departmental; Team; Organizational; Summary; Chapter 6 Discovering and Analyzing Data with Power Pivot; Understanding Hardware and Software Requirements; Enabling Power Pivot; Designing an Optimal Power Pivot Model; Importing Only What You Need; Understanding Why Data Types Matter; Working with Columns or DAX Calculated Measures; Optimizing the Power Pivot Model for Reporting Understanding Power Pivot Model Basics
Record Nr.	UNINA-9910131265603321

Autore	Mohanty Soumendra
Edizione	[1st ed. 2013.]
Pubbl/distr/stampa	Berkeley, CA, : Apress, 2013
Descrizione fisica	1 online resource (xxii, 296 pages) : illustrations (chiefly color)
Disciplina	004 005.7 005.74
Altri autori (Persone)	JagadeeshMadhu SrivatsaHarsha
Collana	The expert's voice in big data Big data imperatives
Soggetto topico	Database management Business intelligence - Computer programs
ISBN	9781430248736 1430248734
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	""Contents at a Glance""; ""Contents""; ""Preface""; ""About the Authors""; ""About the Technical Reviewer""; ""Acknowledgments""; ""Introduction""; ""Chapter 1: â€œBig Dataâ€? in the Enterprise""; ""Search at Scale""; ""Multimedia Content""; ""Sentiment Analysis""; ""Enriching and Contextualizing Data""; ""Data Discovery or Exploratory Analytics""; ""Operational Analytics or Embedded Analytics""; ""Realizing Opportunities from Big Data""; ""Innovation""; ""Acceleration""; ""Collaboration""; ""New Business Models""; ""New Revenue Growth Opportunities""; ""Taming the â€œBig Dataâ€?"" ""Where Will Big Data and Analytics Create Advantages for the Company?""""How Should You Organize to Capture the Benefits of Big Data and Analytics?""; ""What Technology Investments Can Enable the Analytics Capabilities?""; ""How Do You Get Started on the Big Data Journey?""; ""End Points""; ""References""; ""Chapter 2: The New Information Management Paradigm""; ""What Is Enterprise Information Management?""; ""New Approach to Enterprise Information Management for Big Data""; ""New capabilities needed for big data"" ""Leading practices of enterprise information management for big data platforms""""Implications of Big Data to Enterprise IT?""; ""Map-reduce""; ""Storage""; ""Query""; ""End Points""; ""References""; ""Chapter 3: Big Data Implications for Industry""; ""The Opportunity""; ""Big Data Use Cases by Industry Vertical""; ""Big Data Analytics for Telecom""; ""Big Data Analytics for Banking""; ""Big Data Analytics for Insurance""; ""Analytics Domains in Insurance""; ""Big Data Analytics for Retail""; ""Big Data Analytics for Health Care""; ""Big Data Analytics for IT/Operations""; ""End Points"" ""References""""Chapter 4: Emerging Database Landscapeimages ""; ""The Database Evolution""; ""The Scale-Out Architecture""; ""The Relational Database and the Non-Relational Database""; ""OldSQL, NewSQL, and the Emerging NoSQL""; ""The Influence of Map-Reduce and Hadoop""; ""Key Value Stores and Distributed Hash Tables""; ""XML Defined Data""; ""Unstructured Data as Un-modeled Data""; ""Database Workloads""; ""Workload Characteristics""; ""Implication of Big Data Scale on Data Processing""; ""Database Technologies for Managing the Workloads""; ""Hardware Architectures and Databases"" ""Columnar Databases""""Combination/Workload Challenges""; ""Requirements for the Next Generation Data Warehouses""; ""Polyglot Persistence: The Next Generation Database Architecture""; ""How Digg is Built Using Polyglot Persistence""; ""Use Case: E-commerce Retail Application""; ""End Points""; ""References""; ""Chapter 5: Application Architectures for Big Data and Analytics""; ""Big Data Warehouse and Analytics""; ""Data Design Principles for Big Data Solutions""; ""Big Data Warehouse System Requirements and Hybrid Architectures""; ""Enterprise Data Platform Ecosystem â€? BDW and EDW"" ""How does Traditional Data Warehouse processes map to tools in Hadoop Environment?""
Altri titoli varianti	Enterprise big data warehouse, BI implementations and analytics Enterprise big data warehouse, business intelligence implementations and analytics
Record Nr.	UNINA-9910735395503321

Autore	Silvers Fon
Edizione	[1st edition]
Pubbl/distr/stampa	Boca Raton, Fla. : , : CRC Press, , 2012
Descrizione fisica	1 online resource (286 p.)
Disciplina	005.74 005.745
Soggetto topico	Business intelligence - Computer programs Data warehousing
Soggetto genere / forma	Electronic books.
ISBN	0-429-10803-6 1-4665-1666-6 1-283-59614-8 9786613908599 1-4398-7077-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front Cover; Dedication; Contents; Preface; Acknowledgments; The Author; Chapter 1: Data Warehouse ROI; Chapter 2: What Is Market Basket Analysis?; Chapter 3: How Does Market Basket Analysis Produce ROI?; Chapter 4: Why Is Market Basket Analysis Difficult?; Chapter 5: Market Basket Analysis Solution Definition; Chapter 6: Market Basket Architecture and Database Design; Chapter 7: ETL into a Market Basket Datamart; Chapter 8: What Is Time Variance?; Chapter 9: How Does Time Variance Produce ROI?; Chapter 10: Why Is Time Variance Difficult?; Chapter 11: Time Variant Solution Definition Chapter 12: Time Variant Database DefinitionChapter 13: ETL into a Time Variant Data Warehouse; Chapter 14: Market Basket Analysis in a Time Variant Data Warehouse; References
Record Nr.	UNINA-9910457444503321

Autore	Collie Rob
Pubbl/distr/stampa	Uniontown, OH, : Holy Macro! Books, c2013
Descrizione fisica	1 online resource (255 p.)
Soggetto topico	Business intelligence - Computer programs
Soggetto genere / forma	Electronic books.
ISBN	1-61547-112-X 1-61547-212-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910453819303321

Autore	Agarwal Abhishek
Edizione	[1st edition]
Pubbl/distr/stampa	Birmingham ; ; Mumbai : , : Packt Publishing Ltd, , 2019
Descrizione fisica	1 online resource (147 pages)
Disciplina	658.4038011
Soggetto topico	Business intelligence - Computer programs
Soggetto genere / forma	Electronic books.
ISBN	1-83864-499-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910493665403321