DataArchitect is an IT consultant specializing in database

TEL. 045-777-6055

〒230-0021 Tsurumi Ward, Yokohama, Kanagawa



  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