Data Modeling Master Class Training Manual
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Data Modeling Master Class Training Manual
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Author : Steve Hoberman
language : en
Publisher:
Release Date : 2008-10
Data Modeling Master Class Training Manual written by Steve Hoberman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10 with categories.
This is the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, see Steve Hoberman's website, www.stevehoberman.com for more.
Data Modeling Master Class Training Manual
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Author : Steve Hoberman
language : en
Publisher:
Release Date : 2015-07
Data Modeling Master Class Training Manual written by Steve Hoberman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07 with categories.
This is the sixth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard. You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Top 10 Objectives 1.Explain data modeling components and identify them on your projects by following a question-driven approach 2.Demonstrate reading a data model of any size and complexity with the same confidence as reading a book 3.Validate any data model with key "settings" (scope, abstraction, timeframe, function, and format) as well as through the Data Model Scorecard 4.Apply requirements elicitation techniques including interviewing, artifact analysis, prototyping, and job shadowing 5.Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions 6.Practice finding structural soundness issues and standards violations 7.Recognize when to use abstraction and where patterns and industry data models can give us a great head start 8.Use a series of templates for capturing and validating requirements, and for data profiling 9.Evaluate definitions for clarity, completeness, and correctness 10.Leverage the Data Vault and enterprise data model for a successful
Data Modeling Master Class Training Manual
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Author : Steve Hoberman
language : en
Publisher:
Release Date : 2019-05-14
Data Modeling Master Class Training Manual written by Steve Hoberman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-14 with categories.
This is the eighth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(R). You will know not just how to build a data model, but how to build a data model well. Three case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Top 5 Objectives Determine how and when to use each data modeling component Apply techniques to elicit data requirements as a prerequisite to building a data model Build relational and dimensional conceptual, logical, and physical data models Incorporate supportability and extensibility features into the data model Assess the quality of a data model.
Data Modeling Master Class Training Manual 5th Edition
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Author : Steve Hoberman
language : en
Publisher: Technics Publications, LLC
Release Date : 2014
Data Modeling Master Class Training Manual 5th Edition written by Steve Hoberman and has been published by Technics Publications, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Data structures (Computer science) categories.
This is the fifth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard . You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects.
Data Modeling Master Class Training Manual 2nd Edition
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Author : Steve Hoberman
language : en
Publisher: Technics Publications LLC
Release Date : 2011
Data Modeling Master Class Training Manual 2nd Edition written by Steve Hoberman and has been published by Technics Publications LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Data structures (Computer science) categories.
A training manual for the Data Modelling Master Class. It includes a course on requirements gathering and data modelling, containing four days of practical techniques for producing solid relational and dimensional data models.
Data Modeling Master Class Training Manual 7th Edition
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Author : Steve Hoberman
language : en
Publisher:
Release Date : 2017-06
Data Modeling Master Class Training Manual 7th Edition written by Steve Hoberman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06 with Computers categories.
This is the seventh edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com. The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(R). You will know not just how to build a data model, but how to build a data model well. Two case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects. Top 10 Objectives 1. Explain data modeling components and identify them on your projects by following a question-driven approach 2. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book 3. Validate any data model with key "settings" (scope, abstraction, timeframe, function, and format) as well as through the Data Model Scorecard(R) 4. Apply requirements elicitation techniques including interviewing, artifact analysis, prototyping, and job shadowing 5. Build relational and dimensional conceptual and logical data models, and know the tradeoffs on the physical side for both RDBMS and NoSQL solutions 6. Practice finding structural soundness issues and standards violations 7. Recognize when to use abstraction and where patterns and industry data models can give us a great head start 8. Use a series of templates for capturing and validating requirements, and for data profiling 9. Evaluate definitions for clarity, completeness, and correctness 10. Leverage the Data Vault and enterprise data model for a successful enterprise architecture.
Data Modeling Master Class Training Manual 9th Edition
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Author : Steve Hoberman
language : en
Publisher:
Release Date : 2021
Data Modeling Master Class Training Manual 9th Edition written by Steve Hoberman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
This is the ninth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com.
Data Modeling Fundamentals
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Author : Steve Hoberman
language : en
Publisher:
Release Date : 2018
Data Modeling Fundamentals written by Steve Hoberman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
"The Data Modeling Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. This video contains a majority of the content from the first module in this course. For more on the Data Modeling Master Class, please visit SteveHoberman.com. This video provides an introduction into the field of data modeling by defining data model concepts and terms, along with why the data modeling process is so important and warnings of pitfalls to avoid. Shortly after the video starts, you will complete a very important exercise illustrating the four important gaps filled by data models. Next, we will explain data modeling concepts and terminology including entities, attributes, relationships, candidate keys, and subtypes, and provide you with a set of questions you can ask to quickly and precisely build a data model. Demonstrate reading a data model of any size and complexity with the same confidence as reading a book. We will complete several exercises, including one on creating a data model based upon an existing set of data."--Resource description page.
Ace The It Interview
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Author : Paula Moreira
language : en
Publisher: McGraw Hill Professional
Release Date : 2008-01-01
Ace The It Interview written by Paula Moreira and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-01 with Computers categories.
Proven strategies for getting hired as an IT professional This practical guide for developing winning interviewing skills has been fully updated and revised to focus on today's most sought-after IT jobs. Go behind the scenes of the IT interview process and get inside the mind of potential employers. You'll find out how to make a great first impression and stand out from the competition. Ace the IT Interview features hundreds of questions that are likely to come up on your next technical interview along with key points to include in your answers so you can practice your responses based on your strengths and experience. Present yourself as a truly valuable IT professional and get a great job with help from this real-world guide. Understand the hiring manager's perspective Create a first-rate resume that highlights your skills Get past gatekeepers and get the interviews you want Make a great first impression and stand out in the crowd Master sticky questions about your work history Prepare for different types of interview settings, including telephone and video-conference interviews Ask intelligent, relevant questions Ace the interview follow-up Evaluate your offers, negotiate salary, and close the deal
Ace The It Resume Resumes And Cover Letters To Get You Hired
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Author : Paula Moreira
language : en
Publisher: McGraw Hill Professional
Release Date : 2007-06-22
Ace The It Resume Resumes And Cover Letters To Get You Hired written by Paula Moreira and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-22 with Business & Economics categories.
Create a first-rate resume that will get you hired in IT Stand out in a crowd of IT job applicants by creating and submitting a winning resume and cover letter with help from this practical guide. Fully revised and updated for the latest trends, technologies, and in-demand jobs, Ace the IT Resume, Second Edition reveals how to best showcase your IT skills and experience. You'll get tips for adapting your resume for different formats, using the right keywords, and getting your resume in the hands of the hiring manager. With an encyclopedia of sample resumes, job descriptions, and resume strategies, this is your must-have guide to landing a great IT job. Present your skills, experience, and education in the most effective format Optimize your online resume Customize your resume based on the job you're seeking Write compelling and relevant cover letters Avoid common pitfalls and analyze your resume for errors Discover ways to quickly get hands-on experience Network with IT professionals to make connections