Online NoSQL Data Modeling Training

Course Details:

  • Start Date: 7th September 2019
  • Days: Saturday and Sunday 
  • Duration : 6 hours to 10 hours
  • Session duration: 1.5 hours per day 
  • Training Fees: 100 dollars for course and 25 dollars for videos
  • Time: 6.00 P.M to 7.30 P.M Indian Standard Time

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

SQL Server – Online training course, Classes, Practical sessions

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

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

Advanced Data Modeling Training with SAP PowerDesigner

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.

Data Modeling Demo Videos

01. Data Modeling Development Life Cycle

 

02. Data Warehouse Training – Table and PK

 

03. Simple Select Statement and Alter Statements

 

04. Data Warehouse Training ETL Tools

 

05. Demo Data Modeling and Data Warehouse Training Normalization

 

06 Demo Data Modeling and Data Warehouse Training – Cardinality and Optionality

 

 

Online Data Modeling Job Support for OLTP & Dimensional Data Modeling

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.

 

Online Dimensional Data Modeling Training

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

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:
  • Weekday Batch Starts On: 14th October, 2019.
  • We also offer Training at your convenient time slots! Please call us at 91-9080157239 for more details!
  • Mode of Training: Online Through GotoMeeting.
  • Course Fee: $150 (One hundred and fifty US Dollars) or (10,500 Rs) per person
  • 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.

Case Study:

  • How to capture Driver, Rider and Ride Information in OLAP Data Model for UBER/OLA?
  • How to create OLAP/SaaS Data Model for Microsoft Office 365 or similar Software Product?
  • How to create Clinic OLAP Data Model from a Receipt?
  • How to create OLAP Data Model for Point of Sales (POS) transactions?

Case Study – Exercise:

  • How to create OLAP Data Model for 1003 URLA Form?
  • How to create OLAP Data Model for Banking/Debit Card Transactions?

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.

Online Data Modeling Training – Crash Course

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 Data Modeling Training Syllabus

Online Advanced Data Modeling Training on

OLTP, Data Warehouse, Datamart, Dimensional and Snow Flake Data Modeling and Normalization. 
Course Description:

This online 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.

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

Course Information:

Start Date:
  • Starts on 14th October, 2019.
  • Course Duration: 20 Hours; 1.5 Hours per Session; Alternate days.
  • We also offer Training at your convenient time frames. Please call us at 91-9080157239 for more details!
  • Course Name: Advanced Data Modeling Training through GotoMeeting.
  • Course Fee: $195 (One Hundred and Ninety Five US Dollars) or (14,000 Rs) per person in a Batch.
  • Videos: Recorded class videos $50 (3,500 Rs)
  • 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 (Owner of LearnDataModeling.com)
  • Office: USA and Chennai
Course Requirements:
  • Internet connection
  • Lap Top or Desk Top
Training Certificates:
  • Will be provided.

Case Study:

  • How to capture Driver, Rider and Ride Information in OLTP/OLAP Data Model for UBER/OLA?
  • How to create OLTP/OLAP/SaaS Data Model for Microsoft Office 365 or similar Software Product?
  • How to create Training Center Data Model for Online/Classroom and Recorded Video Sales?
  • How to create Clinic OLTP/OLAP Data Model from a Receipt?
  • How to create OLTP/OLAP Data Model for Point of Sales (POS) transactions?

Case Study – Exercise:

  • How to create OLTP/OLAP Data Model for 1003 URLA Form?
  • How to create OLTP/OLAP Data Model for Banking/Debit Card Transactions?

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

Data Modeling Demo Videos: