Author: MicroStrategy University
Publisher: MicroStrategy Inc.
ISBN: 1937418499
Category : Computers
Languages : en
Pages : 219
Book Description
The MicroStrategy Freeform SQL Essentials course covers how to use Freeform SQL reports in a design concepts as well as knowledge of SQL. You will learn how to create and use Freeform SQL reports, including working with managed objects, incorporating prompts, using derived and common table expressions and stored procedures, accessing non-relational data sources, and configuring security.MicroStrategy project. The course assumes an understanding of basic report development and project
Freeform SQL Essentials
Author: MicroStrategy University
Publisher: MicroStrategy Inc.
ISBN: 1937418499
Category : Computers
Languages : en
Pages : 219
Book Description
The MicroStrategy Freeform SQL Essentials course covers how to use Freeform SQL reports in a design concepts as well as knowledge of SQL. You will learn how to create and use Freeform SQL reports, including working with managed objects, incorporating prompts, using derived and common table expressions and stored procedures, accessing non-relational data sources, and configuring security.MicroStrategy project. The course assumes an understanding of basic report development and project
Publisher: MicroStrategy Inc.
ISBN: 1937418499
Category : Computers
Languages : en
Pages : 219
Book Description
The MicroStrategy Freeform SQL Essentials course covers how to use Freeform SQL reports in a design concepts as well as knowledge of SQL. You will learn how to create and use Freeform SQL reports, including working with managed objects, incorporating prompts, using derived and common table expressions and stored procedures, accessing non-relational data sources, and configuring security.MicroStrategy project. The course assumes an understanding of basic report development and project
Financial Statement Analysis
Author: Martin S. Fridson
Publisher: John Wiley & Sons
ISBN: 0471264601
Category : Business & Economics
Languages : en
Pages : 414
Book Description
Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP
Publisher: John Wiley & Sons
ISBN: 0471264601
Category : Business & Economics
Languages : en
Pages : 414
Book Description
Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP
Implementing MicroStrategy
Author: MicroStrategy University
Publisher: MicroStrategy Inc.
ISBN: 1937418502
Category : Computers
Languages : en
Pages : 377
Book Description
The Implementing MicroStrategy: Development and Deployment course provides an overview of the stages involved in developing, implementing, and maintaining a business intelligence project. You will first get an intensive, yet high-level overview of the project design and report creation processes, followed by the document and dashboard creation basics. The course also covers deployment to MicroStrategy Web™ and MicroStrategy Mobile™, as well as administration and maintenance of MicroStrategy environment.
Publisher: MicroStrategy Inc.
ISBN: 1937418502
Category : Computers
Languages : en
Pages : 377
Book Description
The Implementing MicroStrategy: Development and Deployment course provides an overview of the stages involved in developing, implementing, and maintaining a business intelligence project. You will first get an intensive, yet high-level overview of the project design and report creation processes, followed by the document and dashboard creation basics. The course also covers deployment to MicroStrategy Web™ and MicroStrategy Mobile™, as well as administration and maintenance of MicroStrategy environment.
Analytics, Data Science, and Artificial Intelligence
Author: Ramesh Sharda
Publisher:
ISBN: 9781292341552
Category : Business intelligence
Languages : en
Pages : 832
Book Description
For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.
Publisher:
ISBN: 9781292341552
Category : Business intelligence
Languages : en
Pages : 832
Book Description
For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.
AWS Certified Data Analytics Study Guide with Online Labs
Author: Asif Abbasi
Publisher: John Wiley & Sons
ISBN: 1119819458
Category : Computers
Languages : en
Pages : 416
Book Description
Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Data Analytics Study Guide to give you the same experience working in these labs as you prepare for the Certified Data Analytics Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Data Analyst. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is intended for individuals who perform in a data analytics-focused role. This UPDATED exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It assesses an examinee's ability to define AWS data analytics services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization. The book focuses on the following domains: • Collection • Storage and Data Management • Processing • Analysis and Visualization • Data Security This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Data Analytics Study Guide: Specialty exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Written by an AWS subject-matter expert, this study guide covers exam concepts, and provides key review on exam topics. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, a glossary of key terms, and electronic flashcards. And included with this version of the book, XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months of unlimited access to XtremeLabs AWS Certified Data Analytics Labs with 3 unique lab modules based on the book.
Publisher: John Wiley & Sons
ISBN: 1119819458
Category : Computers
Languages : en
Pages : 416
Book Description
Virtual, hands-on learning labs allow you to apply your technical skills in realistic environments. So Sybex has bundled AWS labs from XtremeLabs with our popular AWS Certified Data Analytics Study Guide to give you the same experience working in these labs as you prepare for the Certified Data Analytics Exam that you would face in a real-life application. These labs in addition to the book are a proven way to prepare for the certification and for work as an AWS Data Analyst. AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam is intended for individuals who perform in a data analytics-focused role. This UPDATED exam validates an examinee's comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It assesses an examinee's ability to define AWS data analytics services and understand how they integrate with each other; and explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization. The book focuses on the following domains: • Collection • Storage and Data Management • Processing • Analysis and Visualization • Data Security This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Data Analytics Study Guide: Specialty exam will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Written by an AWS subject-matter expert, this study guide covers exam concepts, and provides key review on exam topics. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including chapter tests, practice exams, a glossary of key terms, and electronic flashcards. And included with this version of the book, XtremeLabs virtual labs that run from your browser. The registration code is included with the book and gives you 6 months of unlimited access to XtremeLabs AWS Certified Data Analytics Labs with 3 unique lab modules based on the book.
Big Data Beyond the Hype
Author: Zikopoulos
Publisher: McGraw-Hill/Osborne Media
ISBN: 9780071844659
Category : Big data
Languages : en
Pages : 392
Book Description
Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today's data resides. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world's fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
Publisher: McGraw-Hill/Osborne Media
ISBN: 9780071844659
Category : Big data
Languages : en
Pages : 392
Book Description
Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today's data resides. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world's fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
A Beginner’s Guide to Learning Analytics
Author: Srinivasa K G
Publisher: Springer Nature
ISBN: 3030702588
Category : Education
Languages : en
Pages : 326
Book Description
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
Publisher: Springer Nature
ISBN: 3030702588
Category : Education
Languages : en
Pages : 326
Book Description
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
Open Source Intelligence Tools and Resources Handbook
Author: i-intelligence
Publisher:
ISBN: 9781686887482
Category :
Languages : en
Pages : 325
Book Description
2018 version of the OSINT Tools and Resources Handbook. This version is almost three times the size of the last public release in 2016. It reflects the changing intelligence needs of our clients in both the public and private sector, as well as the many areas we have been active in over the past two years.
Publisher:
ISBN: 9781686887482
Category :
Languages : en
Pages : 325
Book Description
2018 version of the OSINT Tools and Resources Handbook. This version is almost three times the size of the last public release in 2016. It reflects the changing intelligence needs of our clients in both the public and private sector, as well as the many areas we have been active in over the past two years.
Dimensional Modeling: In a Business Intelligence Environment
Author: Chuck Ballard
Publisher: IBM Redbooks
ISBN: 0738496448
Category : Computers
Languages : en
Pages : 670
Book Description
In this IBM Redbooks publication we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.
Publisher: IBM Redbooks
ISBN: 0738496448
Category : Computers
Languages : en
Pages : 670
Book Description
In this IBM Redbooks publication we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.
Strategy Without Design
Author: Robert C. H. Chia
Publisher: Cambridge University Press
ISBN: 0521895502
Category : Business & Economics
Languages : en
Pages : 261
Book Description
A unique analysis of strategy in organizations that shows how successful strategies may result without planning or design.
Publisher: Cambridge University Press
ISBN: 0521895502
Category : Business & Economics
Languages : en
Pages : 261
Book Description
A unique analysis of strategy in organizations that shows how successful strategies may result without planning or design.