Author: Diane Schlichting & Miranda Palmer
Publisher: On The Mark Press
ISBN: 177072141X
Category : Education
Languages : en
Pages : 93
Book Description
You can teach all levels of learners, simultaneously. Teach techniques of interpreting and managing data through graphing and probability studies. The use of surveys, board games, and games of chance will help to reinforce basic skills in addition, subtraction, multiplication, and division. 96 pages.
Data Management Gr. 4-6
Author: Diane Schlichting & Miranda Palmer
Publisher: On The Mark Press
ISBN: 177072141X
Category : Education
Languages : en
Pages : 93
Book Description
You can teach all levels of learners, simultaneously. Teach techniques of interpreting and managing data through graphing and probability studies. The use of surveys, board games, and games of chance will help to reinforce basic skills in addition, subtraction, multiplication, and division. 96 pages.
Publisher: On The Mark Press
ISBN: 177072141X
Category : Education
Languages : en
Pages : 93
Book Description
You can teach all levels of learners, simultaneously. Teach techniques of interpreting and managing data through graphing and probability studies. The use of surveys, board games, and games of chance will help to reinforce basic skills in addition, subtraction, multiplication, and division. 96 pages.
Grade 6 Math Test - Parent Guide
Author:
Publisher: On The Mark Press
ISBN: 1770726640
Category : Education
Languages : en
Pages :
Book Description
Publisher: On The Mark Press
ISBN: 1770726640
Category : Education
Languages : en
Pages :
Book Description
Grade 6 Math/Language Test - Teacher Guide
Author:
Publisher: On The Mark Press
ISBN: 1770726675
Category : Education
Languages : en
Pages : 129
Book Description
Publisher: On The Mark Press
ISBN: 1770726675
Category : Education
Languages : en
Pages : 129
Book Description
Data Management: a gentle introduction
Author: Bas van Gils
Publisher: Van Haren
ISBN: 9401805555
Category : Architecture
Languages : en
Pages : 355
Book Description
The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.
Publisher: Van Haren
ISBN: 9401805555
Category : Architecture
Languages : en
Pages : 355
Book Description
The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.
Principles of Data Management and Presentation
Author: Dr. John P. Hoffmann
Publisher: Univ of California Press
ISBN: 0520964322
Category : Social Science
Languages : en
Pages : 283
Book Description
The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses—introductory statistics and research methods—does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: • how to narrow a research topic to a specific research question • how to access and organize data that are useful for answering a research question • how to use software such as Stata, SPSS, and SAS to manage data • how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience—specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.
Publisher: Univ of California Press
ISBN: 0520964322
Category : Social Science
Languages : en
Pages : 283
Book Description
The world is saturated with data. We are regularly presented with data in words, tables, and graphics. Students from many academic fields are now expected to be educated about data in one form or another. Yet the typical sequence of courses—introductory statistics and research methods—does not provide sufficient information about how to focus in on a research question, how to access data and work with datasets, or how to present data to various audiences. Principles of Data Management and Presentation addresses this gap. Assuming only that students have some familiarity with basic statistics and research methods, it provides a comprehensive set of principles for understanding and using data as part of a research project, including: • how to narrow a research topic to a specific research question • how to access and organize data that are useful for answering a research question • how to use software such as Stata, SPSS, and SAS to manage data • how to present data so that they convey a clear and effective message A companion website includes material to enhance the learning experience—specifically statistical software code and the datasets used in the examples, in text format as well as Stata, SPSS, and SAS formats. Visit www.ucpress.edu/go/datamanagement, Downloads tab.
A Graph for All Seasons Gr. 1-3
Author: Cathy Sheridan & Susan Cowan
Publisher: On The Mark Press
ISBN: 1770725385
Category : Education
Languages : en
Pages : 44
Book Description
Here is an easy to use resource that supports and extends any mathematics program. These activities can be used to teach and reinforce graphing skills for every month of the school year. Includes suggestions for different ways to make large and small graphs, and weather graphing ideas. 43 pages
Publisher: On The Mark Press
ISBN: 1770725385
Category : Education
Languages : en
Pages : 44
Book Description
Here is an easy to use resource that supports and extends any mathematics program. These activities can be used to teach and reinforce graphing skills for every month of the school year. Includes suggestions for different ways to make large and small graphs, and weather graphing ideas. 43 pages
C is for Carnival
Author: Yolanda T. Marshall
Publisher:
ISBN: 9781771055833
Category : Alphabet books
Languages : en
Pages : 0
Book Description
An alphabet book that celebrates Canada's Caribbean Carnival.
Publisher:
ISBN: 9781771055833
Category : Alphabet books
Languages : en
Pages : 0
Book Description
An alphabet book that celebrates Canada's Caribbean Carnival.
Mastering Grade 4 Math: Concepts and Skills CDN Version
Author: Silver, Anastasia
Publisher: On The Mark Press
ISBN: 1771583150
Category : Education
Languages : en
Pages : 98
Book Description
Adheres to Canadian Curriculum! This Mastering Math book is a complete, condensed course of instruction or review for Grade Four Mathematics. It is 100% Canadian content following the elementary mathematics curriculum guidelines. Each Mastering Math book is organized according to these five general curriculum threads: Number Sense & Numeration, Measurement, Geometry & Spatial Sense, Patterning & Algebra, and Data Management & Probability. Each topic area contains individual skills and concepts that match the learning expectations of the curriculum. Mastering Math can be used to support the standard classroom curriculum as every learning expectation in the year's curriculum is included. Mastering Math is also an excellent framework for reviewing the full curriculum at home for students who need extra practise. 97 Pages
Publisher: On The Mark Press
ISBN: 1771583150
Category : Education
Languages : en
Pages : 98
Book Description
Adheres to Canadian Curriculum! This Mastering Math book is a complete, condensed course of instruction or review for Grade Four Mathematics. It is 100% Canadian content following the elementary mathematics curriculum guidelines. Each Mastering Math book is organized according to these five general curriculum threads: Number Sense & Numeration, Measurement, Geometry & Spatial Sense, Patterning & Algebra, and Data Management & Probability. Each topic area contains individual skills and concepts that match the learning expectations of the curriculum. Mastering Math can be used to support the standard classroom curriculum as every learning expectation in the year's curriculum is included. Mastering Math is also an excellent framework for reviewing the full curriculum at home for students who need extra practise. 97 Pages
Probability & Inheritance Gr. 7-10
Author: John Collins
Publisher: On The Mark Press
ISBN: 1770721401
Category : Education
Languages : en
Pages : 65
Book Description
This resource is designed to support and extend any mathematics program by providing activities and worksheets that can be used for independent or group practice. Students are introduced to the concepts of probability and inheritance. In the probability section, they will become familiar with the laws of chance, and learn to make choices by predicting outcomes. The inheritance section promotes decision making skills, and develops ability in graphing, spatial concepts and scale. 64 pages
Publisher: On The Mark Press
ISBN: 1770721401
Category : Education
Languages : en
Pages : 65
Book Description
This resource is designed to support and extend any mathematics program by providing activities and worksheets that can be used for independent or group practice. Students are introduced to the concepts of probability and inheritance. In the probability section, they will become familiar with the laws of chance, and learn to make choices by predicting outcomes. The inheritance section promotes decision making skills, and develops ability in graphing, spatial concepts and scale. 64 pages
Enterprise Master Data Management
Author: Allen Dreibelbis
Publisher: Pearson Education
ISBN: 0132704277
Category : Business & Economics
Languages : en
Pages : 833
Book Description
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
Publisher: Pearson Education
ISBN: 0132704277
Category : Business & Economics
Languages : en
Pages : 833
Book Description
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration