English | Size: 2.74 GB
Genre: eLearning
What you’ll learn
Design a data warehouse
Implement a data warehouse
Create ETL Solution with SSIS
Troubleshoot and Debug SSIS package
Deploying SSIS Solution
Enforce Data Quality
Cleanse data
Exploring Data Sources
Extracting modified data
Loading and modifying data
Consuming data in Data Warehouse
Generate Reports using SSRS
Analyse data with SSAS
Interact with Data using T-SQL
This course describes how to design and implement a data warehouse solution.
students will learn how to create a data warehouse with Microsoft SQL Server implement ETL with SQL Server Integration Services, and validate and cleanse data with SQL Server Data Quality Services and SQL Server Master Data Services.
The Primary responsibilities of a data warehouse developer include:
Implementing a data warehouse.
Developing SSIS packages for data extraction, transformation, and loading.
Enforcing data integrity by using Master Data Services.
Cleansing data by using Data Quality Services.
Prerequisites :
Experience of working with relational databases, including:
Designing a normalized database.
Creating tables and relationships.
Querying with Transact-SQL.
Some exposure to basic programming constructs (such as looping and branching).
An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
Students will learn how to :
••Deploy and Configure SSIS packages.
••Download and installing SQL Server
••Download and attaching AdventureworksDW database
••Download and installing SSDT
••Download and installing Visual studio
••Describe data warehouse concepts and architecture considerations.
••Select an appropriate hardware platform for a data warehouse.
••Design and implement a data warehouse.
••Implement Data Flow in an SSIS Package.
••Implement Control Flow in an SSIS Package.
••Debug and Troubleshoot SSIS packages.
••Implement an ETL solution that supports incremental data extraction.
••Implement an ETL solution that supports incremental data loading.
••Implement data cleansing by using Microsoft Data Quality Services.
••Implement Master Data Services to enforce data integrity.
••Extend SSIS with custom scripts and components.
••Databases vs. Data warehouses
••Choose between star and snowflake design schemas
••Explore source data
••Implement data flow
••Debug an SSIS package
••Extract and load modified data
••Enforce data quality
••Consume data in a data warehouse
The volume of data available is huge and increasing daily. Structured Query Language -SQL (pronounced as sequel) is the standard language used to communicate and interact with data stored in relational management database systems like Microsoft SQL Server Oracle, PostgreSQL,MySQL etc.
Different database management systems have their own proprietary version of the SQL language but they all conform to using some commands in SQL the same way. Microsoft SQL Server’s version of SQL is known as Transact-SQL (T-SQL).
You will learn the basics of the SQL language and Transact-SQL since both use certain commands in the same way.
What You will learn includes:
Installing SQL Server
Install SSMS
Basic Database Concepts
Creating Database
Creating Table
Creating Views
Creating stored procedures
Reading data from a database
Updating database records
Backing up database
Deleting Records
Truncating Table
Dropping Table
Dropping Database
Restore Database
Who this course is for:
Beginner Data Analyst
Beginner Data Warehouse Engineers
Beginner Data Scientist
Beginner Data Engineers
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