Data Modeling - Simple Steps to Win, Insights and Opportunities for Maxing Out Success
Nonfiction, Reference & Language, Reference, Business & Finance
| Author: | Gerard Blokdijk | ISBN: | 9781488847608 |
| Publisher: | Emereo Publishing | Publication: | October 5, 2015 |
| Imprint: | Complete Publishing | Language: | English |
| Author: | Gerard Blokdijk |
| ISBN: | 9781488847608 |
| Publisher: | Emereo Publishing |
| Publication: | October 5, 2015 |
| Imprint: | Complete Publishing |
| Language: | English |
Based on extensive research, this lays out the thinking of the most successful Data Modeling knowledge experts, those who are adept at continually innovating and seeing opportunities.
This is the first place to go for Data Modeling innovation - INCLUDED are numerous real-world Data Modeling blueprints, presentations and templates ready for you to access and use.
Also, if you are looking for answers to one or more of these questions then THIS is the title for you:
What are the new approaches for data modeling? Data Modeling: When should we not use a relational database? How to measure lookalike-ness or sameness in data modeling? What are some easy to use data modeling/data mining tools? How does someone start learning about data modeling? Are there any good resources to help practice data-modeling in Rails? What are the recent trends in data modeling (conceptual and physical) in startups? Data Modeling: What are the best resources on data modelling principles? What are some good beginner level data modeling/analytics approaches to kick start a data science/analytics team? How can I improve my data modeling skills? Does anyone knows how to do predictive data modeling and calculation of LTV? What is the evaluation phase in data modeling? Data Modeling: What is an example of a true 1-to-1 data modeling relationship? What is the best Open Source data modeling tool for relational databases currently available? Data Modeling: What are some of the good books and online resources on learning ABM using netlogo? Is there any point in NoSQL data modeling tools since many NoSQL solutions are schema-less? Is there any (good) software for data modeling (entity relationship diagrams, UML, etc.) in 3D? What are the most ideal books to learn about advanced data modeling? ...and much more…
Based on extensive research, this lays out the thinking of the most successful Data Modeling knowledge experts, those who are adept at continually innovating and seeing opportunities.
This is the first place to go for Data Modeling innovation - INCLUDED are numerous real-world Data Modeling blueprints, presentations and templates ready for you to access and use.
Also, if you are looking for answers to one or more of these questions then THIS is the title for you:
What are the new approaches for data modeling? Data Modeling: When should we not use a relational database? How to measure lookalike-ness or sameness in data modeling? What are some easy to use data modeling/data mining tools? How does someone start learning about data modeling? Are there any good resources to help practice data-modeling in Rails? What are the recent trends in data modeling (conceptual and physical) in startups? Data Modeling: What are the best resources on data modelling principles? What are some good beginner level data modeling/analytics approaches to kick start a data science/analytics team? How can I improve my data modeling skills? Does anyone knows how to do predictive data modeling and calculation of LTV? What is the evaluation phase in data modeling? Data Modeling: What is an example of a true 1-to-1 data modeling relationship? What is the best Open Source data modeling tool for relational databases currently available? Data Modeling: What are some of the good books and online resources on learning ABM using netlogo? Is there any point in NoSQL data modeling tools since many NoSQL solutions are schema-less? Is there any (good) software for data modeling (entity relationship diagrams, UML, etc.) in 3D? What are the most ideal books to learn about advanced data modeling? ...and much more…
