Data Warehouse Developer-SQL Server/ETL/SSIS/SSAS/SSRS/T-SQL

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

Requirements

A computer and internet access required

The course will guide you .

Description

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.

and installing SQL Server

and attaching AdventureworksDW database

and installing SSDT

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:

Bner Data Analyst

Bner Data Warehouse Eeers

Bner Data Scientist

Bner Data Eeers



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