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/)
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MIS Consulting, Tang
Route d’Hermance 178
CH-1245 COLLONGE-BELLERIVE
Conseils & Réalisation en informatique
Contact :
Cong-Thien TANG (Development Manager)
Engineer of Ecole Polytechnique Fédérale de Lausanne (EPFL)
MBA of University of Lausanne
Mobile: +41 79 353 79 26
E-mail: cttang@misconsulting.ch
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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 – 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.
Some realizations or mockups:
Microsoft SQL Server Reporting Services (SSRS), Flex
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
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
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
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