DASVM’s Data Warehousing Training will cover concepts like DW Architecture, Data Modeling, Data integration, ERwin, ETL fundamentals, Business Reporting and Data Visualisation. This Data Warehousing & BI Certification Training will help you become a expert in Data Warehousing and Business Intelligence techniques.
Data warehousing is the process of centralising, cleaning, and transforming data from multiple sources into a unified repository for analytical purposes It plays a pivotal role in collecting, storing, and managing vast amounts of data, enabling organisations to make informed decisions. This course provides delegates with a comprehensive understanding of data warehousing, including its significance in data analytics, business intelligence, and decision-making processes.
Course Objectives:
At the end of the Data Warehousing Training the participants should be able to:
- To understand the core concepts and principles of data warehousing
- To learn how to design and implement an effective data warehousing system
- To explore data modelling techniques for data warehousing
- To gain proficiency in ETL processes and tools
- To acquire knowledge of data warehouse management and maintenance
- To analyse real-world case studies to apply data warehousing principles
- To collaborate with peers to solve practical data warehousing challenges
- To prepare for real-world data warehousing scenarios and challenges
- Understand Data Warehousing and Business Intelligence concepts
- Use ERwin r9 for developing the Data Warehouse and Data Marts building with Staging Area
- Create Dimensions and Facts tables with Granularity
- Use ETL Tool Talend 5.x for loading the data into staging and warehouse/data marts for various Data Migration, Replication and Integration Projects
- Use BI Tool Tableau 9.x for building and managing the operational and Analytical reports with dashboards
Course content
Introduction to Data Warehouse
- What is Data Warehousing?
- Features of Data Warehouse
- Types of Data Warehouse
- Components of Data Warehouse
- Use of Data Warehouse
- Advantages of Data Warehouse
- Disadvantages of Data Warehouse
- Data Warehouse Tools
- Data Warehouse Applications
- Integrating Heterogeneous Databases
Terminologies
- Metadata
- Metadata Repository
- Data Cube
- Data Mart
- Virtual Warehouse
Architecture of Data Warehouse
- Understanding the Data Warehousing Architecture
- System used for Reporting and Business Intelligence
- Three-Tier Data Warehouse Architecture
- Data Warehouse Models
- Load, Warehouse, and Query Manager
- Understanding OLAP vs. OLTP
- Introduction to Cubes
Dimensions and Facts
- Facts
- Dimensions
Data Modelling
- Data Warehouse Modelling Overview
- ER Diagram
- The various stages from Conceptual Model
- Logical Model to Physical Schema
- Understanding the Cubes
- Benefits of Cube
- Working with OLAP multidimensional Cube
- Creating Report using a Cube
Data Normalization
- What is Data Normalization?
- Data Normalization Rules – 1NF, 2NF, 3NF, Data De-Normalization
- Dimensional Modeling – What is DM?, Principles, Benefits, Type and Technique.
- Understanding the process of Data Normalization
- Rules of normalization for first, second and third normal, BCNF, deploying Erwin for generating SQL scripts
Delivery Process
- Delivery Method
- IT Strategy
- Education and Prototyping
- Technical Blueprint
System Processes
- Process Flow in Data Warehouse
- Extract and Load Process
- Clean and Transform Process
- Backup and Archive the Data
SQL Parsing, Cubes & OLAP
- SQL parsing
- Compilation and optimization
- Understanding types and scope of cubes
- Data Warehousing Vs. Cubes
- Limitations of Cubes and evolution of in-memory analytics
Data Warehouse OLAP
- Types of OLAP Servers
- OLAP Operations
- OLAP Vs OLTP
Relational and Multidimensional OLAP
- Relational OLAP
- Multidimensional OLAP
- Three-Tier Data Warehouse Architecture
Data Warehouse Schemas
- Star Schema
- Snowflake Schema
- Fact Constellation Schema
- Schema Definition
Horizontal and Vertical Partitioning
- Introduction to Partitioning
- Horizontal Partitioning
- Vertical Partitioning
Metadata Concepts
- Metadata Categories
- Role of Metadata
System and Process Managers
- System Managers
- Process Managers
Security and Backup
- Security Requirements
- User Access
- Impact of Security on Design
- Hardware and Software Backup
Tuning and Testing
- Tuning
- Testing
Building Data Warehouse with ERwin
- Source System Understanding
- Future Data Requirement and Understanding
- Designing and Developing Dimension Table
- Designing and Developing Fact Table Designing and Developing ER Model With Erwin
- Designing and Developing Entity Relationship Modeling
Building ETL Project With Talend DI Open Studio 5.x
- Building ETL Project Talend DI Open Studio
- Understanding the Data Source System which will be a future Data Requirement
- Identify Business Requirement Gathering
- Building the ETL Talend Technical Design Document
- Building an ETL Project
Introduction to Data Visualization BI Tool Tableau 9.x
- Data Visualization BI Tool : Tableau 9.x-Introduction to Data Visualization with Tableau
- Exploring Data Visualization with Tableau
- What is Data Visualization?
- Exporting Data and Working With Tableau
Building Data Visualization BI Project With Tableau 9.x
- Building Data Visualization BI Project With Tableau 9.x
- BI Reporting Understanding
- Report and Dashboard Template Document
- Tableau Design and Development Database Source Connection
An Integrated Data Warehousing & BI Project
- An Integrated Data Warehousing & BI Project
- Developing a Data Warehouse and BI Project
- Source System understanding today’s data that will be the future data requirement
- Identify the Business Requirement Gathering
- Report and Dashboard Template Document
- Designing and Developing Models
- Designing and Developing the Staging Area
- Finalizing the Dimension Modeling Type
- Designing and Developing Dimension Modeling
To see the full course content Download now
Course Prerequisites
- There are no formal prerequisites for this Data Warehousing Training Course. However, a basic understanding of basic database concepts would be beneficial for delegates.
Who can attend
The following professionals can go for this Data Warehousing Certification course:
- Data warehousing enthusiasts
- Analytics Managers
- Data Modelers
- ETL Developers and BI Developers
- Data Professionals
- Business Analysts
- IT Managers
- Software Developers
- Business Intelligence Professionals
- Project Managers
- Database Professionals
Number of Hours: 40hrs
Certification
- IBM Data Warehouse Engineer Professional Certificate
- Data Warehousing for Business Intelligence Specialization by Coursera
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Materials
- Preparing for Certification
Call now: +91-99003 49889 and know the exciting offers available for you!
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