DataArchitect is an IT consultant specializing in database
TEL. 045-777-6055
〒230-0021 Tsurumi Ward, Yokohama, Kanagawa
EDUCATION
SEMINARS
DataArchitect conducts following seminars(Japanese language only).
Outlines of seminars
Hands on to Data Modeling
- Outlines
- Use "Self-Learning of DB Design"（Publishued by Shoueisha）as a textbook.
- You will learn the data modeling process from conceptual modeling, logical modeling to implementing to physical RDB
- You will learn the both modeling methods of top-down and bottom-up through the hands-on activities.
- Assuming to use free software as the modeling tool, but we will respond to your request.
- You will be able to apply the outcome to your real project.
- Please prepare the PC.
- Contents
- Learning the basic mannars of the data modeling
- Understanding the modeling process
- Top-down modeling method
- Main keys and code definitions
- Naming rules and domains
- Bottom-up modeling method
- Conversion to the physical data model
- Designing the physical database
- Hands-on
- Reservation system for circuration of a library
- Basic operations of the modeling tool(profile confirmation)
- Top-down modeling
- Bottom-up modeling
- Absorption of the models
- Conversion to the physical data model
- Vrtual implementation
Introduction to Big Data Analysis
- Outlines
- Starting from defining what is Big Data, then explain about the procedure of analysing and utilizing Big Data, and about the outlines of analysing methods.
- IT engineer will learn basic knowledge for executing his jobs with a data scientist.
- You will learn the methodology and the procedure for analysing Big Data that exists internal and esternal.
- You will learn the data comprehension, analysing method, and the evaluation method of analysing results through the practice.
- Contents
- What is Big Data
- Procedure of analysing and utilizing of Big Data
- Methods of constructing and utilizing
- Constructing method of DWH and data mart
- Data modeling
- Data quality
- MDM(Master Data Management)
- Data masking
- Data analysing scenario
- BI tools
- Each analysing method
- SQL
- Multidimensional analysis
- Data minig method
- Statistics analysis
- Applying section of analysing methods
- Approach for improvement of analytical ability
- Staging
- Credencials of data analysts
- Practice
Relating Our Service
To DMBOK
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