Training – LearnDataModeling.com

Data Modeling Interview Question and Answer Videos

May 19, 2020 learndmdwbi Leave a comment

Video Tutorial 1:

What is a Data Model and Data Modeler Responsibilities?

What’s in it: Data Model, High Level Data Modeler Responsibilities along with images of a conceptual data model, logical data model and physical Data Model is explained using Erwin Data Modeling Tool.

Video Tutorial 2:

Explain Data Modeling Development Life Cycle?

What’s in it: This question is asked by the Interviewers. Our video explains step by step process in Data Modeling Development Life Cycle. This life cycle is common for RDMS Data Modeling and Dimensional Data Modeling.

Video Tutorial 3:

What is an ER Diagram?

What’s in it: ER Diagram also know as Erwin Relationship Diagram is explained with a data model created by using Erwin Data Modeling Tool. Primary Key Constraint, Composite Primary Key Constraint, Foreign Key Constraint, Composite Foreign Key Constraint are explained here in this Data Modeling Video Tutorial.

Video Tutorial 4:

What is a Conceptual Data Model?

What’s in it: This is the first phase in designing the data model in the Data Modeling Development Life and is explained in Detail with image of Erwin Data Model.

Video Tutorial 5:

What is a Logical Data Model?

What’s in it: The is second phase in designing the data model in the Data Modeling Development Life Cycle and is explained in details

Video Tutorial 6:

What is the difference between a Logical Data Model and Physical Data Model?

What’s in it: The differences between Logical Data Model and Physical Data Model is tabulated and explained with the help of a data model created from the Erwin Tool.

Video Tutorial 7:

What is an Entity and Attribute?

What’s in it: Entity and Attribute are explained with a Diagram.

Video Tutorial 8:

What is Identifying and Non-Identifying Relationship?

What’s in it: Identifying and Non-Identifying Relationship are explained with the help of a small data model drawn from Erwin Data Modeling Tool. Difference between those two are also explained.

Video Tutorial 9:

What is Forward Engineering & What is Reverse Engineering?

What’s in it: Forward Engineering, Reverse Engineering, SuperType and SubType are explained.

Video Tutorial 10:

What is Data Model Meta Data & Data Model Repository

What’s in it: Data Model Meta Data & Data Model Repository are explained in this video tutorial.

Video Tutorial 11:

What is the process to create a Data WareHouse Schema and What are the steps involved in designing the data mart?

What’s in it: This video explains important points in designing the Data Mart and Data Warehouse Schema.

Video Tutorial 12:

What is Dimensional Data Model and a Star Schema?

What’s in it: This video explains the basics of Dimensional Data Model and Schema with OLA use case as the example.

Video Tutorial 13:

What is ETL? / What is Datawarehouse? / What is DataMart?

What’s in it: Basics of ETL, Datawarehouse and Datamart are explained in this Data Modeling Video Tutorial.

Video Tutorial 14:

What is Check Constraint? / What is a Sequence? / What is an Index?

What’s in it: Brief explanation of Check Constraint, Sequence, and Index is explained. Also NULL values in Unique constraint are explained. The above topic is an important question in the Data Modeling Interview..

Video Tutorial 15:

What is OLTP Data Modeling? / What are the different types of constraints? / What is an Unique Constraint?

What’s in it: Brief explanation about OLTP data modeling and constraint. This is an important question in Data Modeling Interview.

Video Tutorial 16:

What is a Foreign Key Constraint? / What is a composite Foreign Key constraint?

What’s in it: Foreign Key Constraint is explained in a detailed manner by taking an example from IBM.

Video Tutorial 17:

Erwin Data Modeling Interview Questions – Part 1

What’s in it:

This video helps with the list of interview questions that can be asked in creating :
Conceptual data model by Erwin.
Logical data model by Erwin.
Physical data model by Erwin.

Video Tutorial 18:

Dimensional Data Modeling Interview Questions – Part 1

What’s in it:

These Dimensional Data Modeling Questions are related to Data Warehouse and Data Mart.
When you work as an ETL developer or BI developer, these questions will be asked in the interview.

Online NoSQL Data Modeling Training

August 21, 2019 learndmdwbi Leave a comment

Course Details:

Course Syllabus:

What is nosql.
About MongoDB
CRUD – create, insert, delete, update operations
JSON
Three Data Model samples in MongoDB
Introduction to Hadoop Hotonworks Big Data environment
How MongoDB is used in Big Data environment – Example
Compare RDBMS Data Model with MongoDB Data Model
Compare important CRUD statements with RDBMS and MongoDB

Training

SQL Server – Online training course, Classes, Practical sessions

March 11, 2019 learndmdwbi Leave a comment

SQL Server’s T-SQL Training with Agile and Data Modeling

Online Training Start Date : 9th January, 2023

Course Start Date: Training will be provided as per your convenient time slots! Please call us at 91-9080157239 for more details!

Email: AntonysTrainingandSolution@gmail.com

Chapter 1: Introduction about Data, Column, Datatype, Record, PK, FK

How to install SQL Server Management Studio?
How to install SQL Server Express Edition?
What is a database?
How to Backup / Delete / Recover a SQL Server Database?
How to Export / Import Data from SQL server?
How to Detach / Attach a Database?
What is Server Login / Database User / Schema / Role / Privileges?
What is Data?
What is a column?
What is a datatype?
What is a record?
What is a table?
What is primary key?
What is composite primary key?
What is a foreign key?
What is composite foreign key?
What is a schema?

Chapter 2: Introduction to SDLC, Waterfall Methodology, Agile Methodology

Introduction to Software Development Life Cycle.
What is Waterfall methodology?
What is Agile methodology?
- Scrum Model
- What is Product Catalog?
- What is Sprint Catalog?
- What is Project Team?
- Who is Product Owner?
- Scrum Development Team
- Scrum Master
- What is Sprint Planning?
- What is Daily Scrum?
- What is Sprint Review?
- What is Sprint Retrospective?
- What is Product Backlog Refinement?

Chapter 3: Introduction to Database and Application:

What is a Server?
Introduction to SQL Databases
What is a Client?
What is an Application?
What is a Desktop Application?
What is a Browser Based Application?
What is a Mobile Based Application?
What is Client Server Architecture?

Chapter 4: Data Analysis:

Introduction to Data Analysis from RDBMS perspective
Introduction to Data Profiling from RDBMS perspective

Chapter 5: Introduction to SQL Server Environment:

Basic Features, Components and Tools
How to start and stop SQL Server Instances and Services
Introduction to Management Studio
Types of System Databases in SQL
How to create a database?

Chapter 6: Data Definition Language (DDL):

Datatype:

What is a datatype?
Different types of datatypes

Table:

How to Create / Alter / Drop Table (column, datatype)
How to truncate a Table?

Constraint:

How to Create / DROP NULL and NOT NULL?
How to Create / Drop Primary Keys and Composite Primary Keys?
How to Create / Drop Foreign key Constraints?
How to Create / Drop Unique Constraint and Composite Unique Constraint?
How to Create / Drop Check Constraints?

Chapter 7: Data Manipulation Language (DML):

How to insert, delete and update date in a table?

Chapter 8: Data Query Language (DQL):

What is ANSI SQL?
What is T-SQL?

How Select Statements are used in OLTP and OLAP environment:

How to frame a Select Statement on all columns?
How to frame a Select Statement on few columns?
What is WHERE clause? How to select all records and few records?
How to use different conditions in where clause?
How to sort and unsort the data?
How to use Boolean operators in where clause?
How to use Arithmetic operators in where clause?
How to use IN operator in where clause?
How to use comparison operator in where clause?
How to use NULL and NOT NULL in the where clause?
How to use predefined (default) functions?
How to use set operators like UNIION and Intersect?
How to use Mathematical Functions?
How to use Character Functions?
How to use Advanced Functions?
How to use Date Functions?

Group Functions:

What is Grouping the data? And where it will be useful?
How to use group function MIN, MAX, SUM, AVG, COUNT
What is HAVING clause?
How to combine GROUP by and HAVING?

Queries:

What is a Sub Query?
What is a Nested Query?
What is Inner Query?
What is Outer Query?
What is co-related Sub Query?

Joins:

Inner Join or Simple Join
Right Outer Join
Left Outer Join
Full Outer Join

Chapter 9: NOSQL Databases:

Introduction to NoSQL Databases

Chapter 10: Normalization and E/R Diagram through Oracle’s SQL Developer Data Modeler:

What is Normalization?
What is Denormalization?
How to analyze the requirement?
How to find out entities and relationships through Normalization Techniques (1NF, 2NF, 3NF)?
How to draw E-R (Entity Relationship Diagram)? – One to One, One to many, Many to Many, Self-Referential Integrity (Recursive), Cardinality and Optionality.

Chapter 11: About Data Model:

Explanation of a Logical Data Model
Explanation of a Physical Data Model
How ER data (Normalized Data) is converted into Tables?
Explanation of Dimensional Data Model
What is OLTP environment?
What is OLAP environment?

Chapter 12: Duties and Responsibilities of a SQL Developer:

What is Role?
What is Level?
What is a duty?
What is a responsibility?
What are the duties and responsibilities of a SQL Developer?

Chapter 13: Introduction to Big Data:

HDFS
MapReduce
Hadoop
Hive
Pig Script
Yarn
ZooKeeper
Tez
Spark
Storm
MongoDB
HBase
MySQL
Cassandra

Training

Data Modeling Training with SAP PowerDesigner

July 11, 2018 learndmdwbi Leave a comment

Logical Data Modeling Training with SAP PowerDesigner 16.5:

How to normalize the logical data model?
Clinic, Students, Order Form Model Examples
How to group entities?
How to add data item, entity attributes to entities?
How to add identifier? (Key group in Erwin)
How to add inheritance link? (subtype relationship in Erwin)
How to add inheritance? (subtype category in Erwin)
How to create relationships?
What is cardinality? How to connect different entities with relationship lines?
How to add diagram? (stored display and subject area in Erwin)
How to add annotations? (notes in Erwin)
How to add text block (text symbol in Erwin)
How to add text symbol? (text block in Erwin)
How to compare different versions of a Logical Data Model?
Banking, Mortgage, Staffing, Insurance, and Training Data Models

Physical Data Modeling Training with SAP PowerDesigner 16.5:

Understanding the technical requirements/specifications from Database Administrator.
How to add those requirements/specifications in a physical data model?
How to add check constraints?
How to add Reference (Relationship in Erwin)?
How to convert logical data model to physical data model?
How to implement the physical data model in different database (forward engineering?
What is reverse engineering?
How to compare the different versions of a physical data model?
How to compare the physical data model and a Current DBMS (Current DBMS)?
Banking, Mortgage, Staffing, Insurance, and Training Data Model Examples
Comparison between Erwin and PowerDesigner

Dimensional Data Modeling training with SAP PowerDesigner 16.5?

Why do you need a data warehouse in SAP PowerDesigner Data Modeling?
What is the reason for a data mart?
Why is star schema? How is that different from dimensional data modeling?
Why customers prefer dimensional data modeling or snow flake modeling?
What are slowly changing dimensions?
Point of Sales Data Model, Banking, Mortgage, and Clinic Examples

If you need more information on this SAP PowerDesigner Data Modeling Training, please contact: Training@LearnDataModeling.com or 91-9080157239.

Online Training Course Start Date: 9th January, 2023.

Training

Online Data Modeling Job Support for OLTP & Dimensional Data Modeling

June 13, 2018 learndmdwbi 2 comments

CPT/OPT EAD/L2 EAD/H4 EAD holders:

If a new opportunity is provided and you are facing difficult challenges in understanding the business requirements to derive data models.

Data Modelers, Data Analyst, ETL Developers and BI Developers:

Interview:

If you face tough scenario based interview questions and not able to answer.

Less Productivity:

If the duties and responsibilities are changed by the client for no reasons and if you are one among those who find it difficult to cope up with puzzling scenarios.

In Between Projects:

If your roles and responsibilities must be updated in near future
If you are finding difficulties in data modeling (designing RDBMS database or Data Warehouse or Data Mart), you want to take your knowledge and understanding of the Database design to the next level.

If you are the one who got struck in the above-mentioned scenarios or if you are finding difficulties in data modeling (designing RDBMS database or Data Warehouse or Data Mart), please approach Training@LearnDataModeling.com or 91-90801 57239.

What we can offer through ONLINE:

Our consultants have more than 15 plus years of experience in Data Modeling in normalized databases, Data Warehouses and Data Marts.
Has hands on with OLTP / Dimensional Data Modeling, OLAP Cubes, Informatica, Oracle Warehouse Builder, Cognos, Brio and SQL/PLSQL.
Provide solutions on data modeling.
Provide solutions on data analysis, business analysis, user expectations related to data modeling.
Share knowledge to implement complicated Data Modeling scenarios.
Will meet your deadlines on each individual task or group of tasks.
Can sign agreement on a daily basis/weekly basis/monthly basis.

Training

Online Dimensional Data Modeling Training

June 2, 2018 learndmdwbi 3 comments

Online Dimensional Data Modeling Training | Data Warehouse Training | Data Mart Training

Data Modeling Course Syllabus & Feedback:

https://youtu.be/Pk341pqGW4c

Data Modeling Course Feedback & Testimonials:

Training Testimonials

Course Description:

The dimensional data modeling training explains how to design Data Ware House and Data Marts from OLTP data models using Erwin (OR) Power Designer (OR) Oracle SQL Data Modeler!

To get more information about this training program, send an email to AntonysTrainingAndSolution@gmail.com or call us @ 91-9080157239.

Course Information:

We offer Training at your convenient time slots! Please call us at 91-9080157239 for more details!
Mode of Training: Online Through GotoMeeting.
Mode of Payment: To USA Savings Account or India Savings Account or through www.Xoom.com
Total no. of theoretical/Practical classes: At least 10 Hours (Will be extended if required)
Course Materials: Course Material will be Provided
Instructor: Neelesh (US Employee) & Antony (Owner of LearnDataModeling.com)
Office: USA and Chennai

Course Requirements:

Internet connection
Lap Top or Desk Top

Training Certificates:

Will be provided.

Course Syllabus

Training Data Model Samples:

POS (Point of Sales Data Model)
Banking Data Model
Mortgage Data Model

Part 1 – Dimensional Data Modeling (OLAP):

Need for Strategic Information
Examples of Business Objectives
Characteristics of Information
Operational Systems – OLTP
Examples of Operational Systems
Decision Support Systems – OLAP
Operational VS Decision Support

Part 2 – Introduction to Data Warehouse:

Data Warehouse Definition
Data Marts
Data Warehouse and Data Mart
Pioneer of Data Warehousing (Inmon)
Bill Inmon’s Approach (HUB and Spoke Architecture)
Pros and Cons of Inmon’s Approach
Pioneer of Data WareHousing (Ralph Kimball)
Ralph Kimball’s Approach (Bus Architecture)
Pros and Cons of Kimball’s Approach
What is ETL?
Things to learn for mapping/Data mapping

Part 3 – Business Intelligence:

OLAP
Dimensional Modeling

Part 4 – Different types of Fact Tables:

Transactional Facts
Snapshot or inventory
Factless Facts
Semi Additive and Non Additive Facts

Part 5 – Dimension Tables:

Dimension Types
Degenerate Dimensions
Denormalized Flattened Dimensions
Snowflaked Dimensions
What is Causal Dimension?
What is Junk Dimension?
What is Outrigger Dimension?

Part 6 – Designing Star Schema:

Building Blocks Together
Dimensional Model
Dimensional (Star) Schema
Declare the grain of Business Process
4 Steps Dimensional Model Design Process
- Identify Business Process
- Identify Grain
- Identify Dimensions
- Identify Facts

Part 7 – Slowly Changing Dimension Techniques:

Type 1
Type 2
Type 3

Part 8 – Big Data Data Modeling:

Design data model of large volumes of Data (Large Volumes of Data) with RDBMS structure

To get more information about this training program, send an email to Training@LearnDataModeling.Com 0r call us @ 91-9080157239.

Popular/Top Data Modeling Tools in the Market:

Erwin
E/R Studio
SAP PowerDesigner
Toad Data Modeler
Oracle SQL Developer Data Modeler
MySQL Workbench
IBM InfoSphere Data Architect

Interview Question & Answer Videos:

Data Modeling Interview Question & Answer Videos

Online Training Start Date: 9th January, 2023.

Training

Online Data Modeling Training – Crash Course

February 8, 2018 learndmdwbi Leave a comment

Crash Course on Data Modeling Training using ERWIN Tool

Course Description:

This training course explains in detail about database, data warehouse, data modeling concepts, data modeling types and how these are used in OLTP environments and Data warehouse / Datamart Environments using Erwin, Power Designer & Oracle SQL Data Modeler.

To get more information about this training program, send an email to Training@LearnDataModeling.Com 0r call us @ 91-9884675745.

Course Brochure:

Course Syllabus

Part 1 – Career Path of a Data Modeler

What is a Data Modeling?
Explanation of Data Modeler duties in brief
Certifications in Data Modeling
Career Path of a Data Modeler
Salary of a Data Modeler

Part 2 – Data Modeling Concepts

Who is a data modeler?
What are the other alternative titles for a Data Modeler?
What are the duties and responsibilities of a Data Modeler?
What is the difference between duty and responsibility?
What is a Data Model?
Who needs Data Modeling?
Different Data Modeling Tools
IDEF1X and IE Methodology

Part 3 – Data Modeling Types

Logical Data Model
Physical Data Model
Dimensional Data Model
Conceptual Data Model
Enterprise Data Model
Data Modeling Development Life Cycle

Part 4– Data Model Standards

Naming standards of objects
Abbreviating column names
Consistency in Column Names
Why it is important

Part 5 – Database Explanation from Data Modeling Perspective

Main object: Table, Column, Datatype
Constraints: NULL, NOT NULL, Primary Key, Unique, Check, Default Value
Other objects: Database, Schema, Tablespace, Segment, Extent, Privileges, Index, View, Synonym
DDL Statements: CREATE, ALTER, DROP
DML Statements: INSERT, UPDATE, DELETE

Part 6– How to create a logical Data Model

Entity, Attribute, Primary Key, Alternate Key, Inversion Key Entry, Rule, Relationship, Definition, Index, Unique Index

Part 7– Relationships

Identifying, Non-Identifying, Many to Many
Cardinality
One to One Relationship
One to many relationship
Many to many relationship
Whether Zero option is required or not
Resolving Many to Many Relationship
Self-Referential Integrity Relationship
Normalization process
Supertypes and Subtypes

Part 8 – How to create a Physical data model:

Table, Column
Primary Key Constraint, Unique Constraint Check Constraint, Foreign Key Constraint, Comment
Default Value
Unique Index, Non-Unique Index,
Difference between a logical data model and Physical Data Model

Part 9 – Physical Data Model, Database & Scripts:

What is Forward Engineering?
How to generate scripts from a data model and share it with DBA?
What is Reverse Engineering?
How to create a data model from a database?
How to create a data model from a script?
How to compare data models?
How to compare database and a data model?
What is subject area?
Why do we need so many subject areas?
How to implement Physical data model in a database?
How to generate SQL Code?
How to implement it in Database?

Part 10 – Concepts: Dimensional Data Modeling, Data Warehouse and Data Mart

What is a Lookup?
How to maintain data in Lookups?
What is a Data Warehouse?
What is a Data Mart?
What is a Dimension?
What is Snow Flake Modeling?
What is Star Schema Modeling?
What is Slowly Changing Dimensions?
What is Dimensional Data Modeling?
How to create a data model for Data Warehouse and Data Mart?

Data Modeling Demo Videos:

Online Training Course Start Date: 9th January, 2023.

Training

Online Data Modeling Training Syllabus

August 22, 2017 learndmdwbi 9 comments

Online Data Modeling Training Course on

OLTP, Data Warehouse, Datamart, Dimensional and Snow Flake Data Modeling and Normalization

Data Modeling Course Syllabus & Feedback:

https://youtu.be/Pk341pqGW4c

Data Modeling Course Feedback & Testimonials:

Training Testimonials

Course Description:

This online training course is Job focused and explains in detail about database, data warehouse, data modeling concepts, data modeling types and how these are used in OLTP environments and Data warehouse / Datamart Environments using Erwin.

To get more information about this training program, send an email to AntonysTrainingandSolution@gmail.com or call us @ 91-9080157239.

Course Information:

Course Start Date: 12th December, 2022 (8.30 A.M IST)
We offer Training at your convenient time frames. Please call us at 91-9080157239 for more details!
Course Name: Advanced Data Modeling Training through GotoMeeting.
Mode of Payment: To USA Savings Account or India Savings Account or through www.Xoom.com
Total no. of theoretical/Practical classes: 20 Hours (Will be extended if required!)
Mode of Teaching: Online through GoToMeeting
Instructor: Neelesh (US Employee) & Antony (Trainer of LearnDataModeling.com)
Office: USA and Chennai

Course Requirements:

Internet connection
Lap Top or Desk Top

Training Certificates:

Will be provided.

Course Syllabus

Part 1 – Career Path of a Data Modeler

What is a Data Modeling?
Explanation of Data Modeler duties in brief
Certifications in Data Modeling
Career Path of a Data Modeler
Salary of a Data Modeler

Part 2 – Data Modeling Concepts

Who is a data modeler?
What are the other alternative titles for a Data Modeler?
What are the duties and responsibilities of a Data Modeler?
What is the difference between duty and responsibility?
What is a Data Model?
Who needs Data Modeling?
Different Data Modeling Tools
IDEF1X and IE Methodology

Part 3 – Data Modeling Types

Logical Data Model
Physical Data Model
Dimensional Data Model
Conceptual Data Model
Enterprise Data Model
Data Modeling Development Life Cycle

Part 4 – Data Model Standards

Naming standards of objects
Abbreviating column names
Consistency in Column Names
Why it is important

Part 5 – Database Explanation from Data Modeling Perspective

Main object: Table, Column, Datatype
Constraints: NULL, NOT NULL, Primary Key, Unique, Check, Default Value
Other objects: Database, Schema, Tablespace, Segment, Extent, Privileges, Index, View, Synonym
DDL Statements: CREATE, ALTER, DROP
DML Statements: INSERT, UPDATE, DELETE

Part 6– How to create a logical Data Model

Entity, Attribute, Primary Key, Alternate Key, Inversion Key Entry, Rule, Relationship, Definition, Index, Unique Index

Part 7– Relationships

Identifying, Non-Identifying, Many to Many
Cardinality
One to One Relationship
One to many relationship
Many to many relationship
Whether Zero option is required or not
Resolving Many to Many Relationship
Self-Referential Integrity Relationship
Normalization process – 1NF, 2NF, 3NF
Supertypes and Subtypes

Part 8 – How to create a Physical data model:

Table, Column
Primary Key Constraint, Unique Constraint Check Constraint, Foreign Key Constraint, Comment
Default Value
Unique Index, Non-Unique Index,
Difference between a logical data model and Physical Data Model

Part 9 – Physical Data Model, Database & Scripts:

What is Forward Engineering?
How to generate scripts from a data model and share it with DBA?
What is Reverse Engineering?
How to create a data model from a database?
How to create a data model from a script?
How to compare data models?
How to compare database and a data model?
What is subject area?
Why do we need so many subject areas?
How to implement Physical data model in a database?
How to generate SQL Code?
How to implement it in Database?

Part 10 – Concepts: Dimensional Data Modeling, Data Warehouse and Data Mart

What is a Lookup?
How to maintain data in Lookups?
What is a Data Warehouse?
What is a Data Mart?
How to design Data Warehouse & Data Mart?
Difference Between OLAP Modeling & OLTP Modeling
How to resolve the problems found in OLTP & OLAP Modeling?
How to design the Dimension & the Fact Tables?
What is a Grain Statement & Granularity?
Designing using Inmon’s or Kimball’s approach.
What is Snow Flake Modeling?
What is Star Schema Modeling?
Slowly Changing Dimensions – Type I, Type II & Type III
What is a Degenerate Dimension?
What is Causal Dimension?
What is Junk Dimension?
What is Outrigger Dimension?
What is Dimensional Data Modeling?
How to create a data model for Data Warehouse and Data Mart?
What is ETL?
Things to learn for mapping/Data mapping
What is Factless Fact?
What is Accumulation Fact?
What is Snapshot Fact?
What are Additive & Non-Additive and Semi-Additive Measures?
Importance of Surrogate Key

Part 11 – Repository, Meta Data and Maintenance of the Data Model

What is a Repository?
What is Meta Data?
How to maintain the data model?
How to work in a multi-user environment

Part 12 – Introduction to NoSQL Data Modeling

Explanation of JSON
Explanation of Document Database

Part 13: Introduction to Big Data:

HDFS
MapReduce
Hadoop
Hive
Pig Script
Yarn
ZooKeeper
Tez
Spark
Storm
MongoDB
HBase
MySQL
Cassandra

Interview Question & Answer Videos:

Data Modeling Interview Question & Answer Videos

Data Modeling Demo Videos:

Popular/Top Data Modeling Tools in the Market:

Erwin
E/R Studio
SAP PowerDesigner
Toad Data Modeler
Oracle SQL Developer Data Modeler
MySQL Workbench
IBM InfoSphere Data Architect

Training