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MIS Consulting, Tang

MANAGEMENT OF INFORMATION SYSTEMS

Services

Domains: Management, Financial and Banking Software Development, WebSite Development
Software Analysis, Design and Implementation & Database Modeling and Development & Enterprise Reporting & Datawarehouse/ETL
Client/Server, Web, Mainframe, Desktop & Mobile Development
Mobile Web Development : HTML5, CSS3, Javascript, jQuery, jQuery Mobile, AngularJS, Firebase, Ionic, MEAN Stack
Database Development : Access, MySQL, Sybase, Ms SQL Server, Oracle PL/SQL, Natural-Adabas
Flex, Visual Basic, Lotus Notes, SharePoint, Informatica (knowledge), Actuate Reporting, Crystal Report
Java, JSP, Javascript, ASP, PHP, VB.NET, C#.NET, ASP.NET
Web Design : Dreamweaver, Fireworks, Flash
WebSite Development : WordPress, DIVI (examples: https://fleursdestyle.ch/)

Ecole Polytechnique Fédérale de Lausanne (EPFL) Engineer, MBA University of Lausanne

Route d’Hermance 178
CH-1245 COLLONGE-BELLERIVE
Mobile: +41 79 353 79 26
E-mail: cttang@misconsulting.ch

Contact: Cong-Thien TANG (Development Manager)

Conseils & Réalisation en informatique

Clients

Banking: Pictet Cie (PWM), Unigestion Bank, ING Bank, JP Morgan Chase
Morgan Stanley Capital International (MSCII), Bank Edouard Constant S.A., Unicible
GSI – Générale de Service Informatique (Suisse) S.A., COGEBA – Compagnie de Gestion et de Banque GONET S.A.
NGO: AGA KHAN Development Network
Insurances: La Genevoise Assurances, Symphony – Courtagest S.A. & GM-Conseils S.A.
Industry: EIS – Electronic Industrial System, Charmilles Technologies S.A., BOBST S.A.
WebSites: FLEURS & STYLE SARL https://fleursdestyle.ch/

Last Certifications & Trainings & Seminars:


Mobile Web Development (2013)
(HTML5, CSS3, Javascript, jQuery, jQuery Mobile, AngularJS, Firebase, Ionic, MEAN Stack)

Implementing Data Models and Reports (SSRS) with Microsoft SQL Server 2012
Business Intelligence (BI) with Microsoft SQL Server2012

Microsoft Certified Professional Developer  with WEB option (MCPD)– including:
– Microsoft .NET Framework – Application Development Foundation (Exam 70-536)
– Microsoft .NET Framework 3.5 – ASP.NET Application Development (Exam 70-562)
– Designing and Developing Web-Based Applications using Microsoft .NET Framework (Exam 70-547)

Implementing and Maintaining MS SQL Server 2008 Integration Services (SSIS)
Using SharePoint Services 3.0 and Office SharePoint Server 2007

Microsoft SQL Server / SYBASE Transact-SQL & Administration (10 days) (Shodan System)

ORACLE : Administration & Pogramming PL/SQL (5 days) (Shodan System)

Sun Certified Programmer for the Java Platform (CX-310-055) (2010)
Sun Certified Web Component Developer for the Java Platform Enterprise (CX-310-083) (2010)

 BI Tools Comparison (Microsoft, Tableau, Qlick, SAP BusinessObjects, …)

Big Data Computing – Hadoop – Concepts

 

Big Data Computing – KEY TERMS AND DEFINITIONS

BDRA: Big Data Reference Architecture.
Big Data Analytics: It is the process of inspecting huge amount of varied data to uncover
hidden patterns, unknown correlations and to extract valuable information
using advanced analytic techniques and business intelligence tools.
Big Data: Big data is a general term used to describe the voluminous amount of
unstructured and semi-structured data a company creates,
data that would take too much time and cost to load into a relational Database for analysis.
Cloud Analytics: any analytics initiative in which one or more of the following elements is implemented in the “cloud”
qualifies as Cloud Analytics: Data Sources, Data Models, Processing Applications, Computing Power, Analytic Models, and Sharing or Storage of Results.
Hadoop: It is an open source apache framework for crunching database, made of two main components: HDFS and MapReduce.
HDFS: HDFS is an important part of Hadoop and is an abbreviation of Hadoop Distributed File System (HDFS),
which stores data in files on a cluster of servers.
Map Reducing: Map Reducing is an important part of Hadoop and it is a programming framework
for building parallel applications that run on HDFS.
NoSQL Database: is also called as “Not Only SQL” Database.
NoSQL is the name given to a broad set of Databases whose only common thread is that they don’t require SQL to process data,
although some support both SQL and non-SQL forms of data processing.

 

Datawarehouse Concepts

Some realizations or mockups:

 Mobile Development

 

Reporting with SharePoint, Microsoft SQL Server,
Microsoft SQL Server Reporting Services (SSRS), Flex
Dashboard

 

Report

 

Absence Request Management (Flex, Ms SQL Server)

 

Consultant Management (Flex, Ms SQL Server)

 

 SharePoint Realization

 

 Realization with Flex, Google Map

 

 

 

 

 

 

 

 

 BI – Business Intelligence

Scorecard Web Portal

 

Source to Datawarehouse to OLAP to Users Flow

 

Snowflake Design

 

Product Hierarchy Drilldown

Scorecard / Dashboard – High-level Architecture

 Data Clusters – Data Mining

Data Mining (segmentation, association, regression,… ) – High-level Architecture

The Kimball Lifecycle Diagram

 UML / UP – RUP

The 2 dimensions of UP according to RUP

Web Application Modeling

A Forrester Report states that users rank Ease of Use higher than Content
as the reason they prefer interactive features in their browsers

RIA Technologies Comparison Quick Look

 HERMES – Project Management

1. The phase model

2. Two project types

3. Submodels for the transverse functions

* project management  * quality assurance  * risk management
* configuration management  * project marketing.

4. Three views

 CMMI – Capability Maturity Model Integration – Levels

 SCRUM Agile Development Methodology

 Business Intelligence – Big Data

 Asset Management – Financial Performance Calculation Contribution Attribution

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