Data Warehouse Developer-SQL ServerETLSSISSSASSSRST-SQL

Data Warehouse Developer-SQL Server/ETL/SSIS/SSAS/SSRS/T-SQL, available at $79.99, has an average rating of 4.19, with 84 lectures, based on 1770 reviews, and has 27709 subscribers.

You will learn about 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 is ideal for individuals who are Beginner Data Analyst or Beginner Data Warehouse Engineers or Beginner Data Scientist or Beginner Data Engineers It is particularly useful for Beginner Data Analyst or Beginner Data Warehouse Engineers or Beginner Data Scientist or Beginner Data Engineers.

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

Summary

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

Price: $79.99

Average Rating: 4.19

Number of Lectures: 84

Number of Published Lectures: 83

Number of Curriculum Items: 84

Number of Published Curriculum Objects: 83

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Beginner Data Analyst

Beginner Data Warehouse Engineers

Beginner Data Scientist

Beginner Data Engineers

Target Audiences

Beginner Data Analyst

Beginner Data Warehouse Engineers

Beginner Data Scientist

Beginner Data Engineers

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

Course Curriculum

Chapter 1: SQL Server Setup

Lecture 1: Introduction

Lecture 2: What is SQL Server

Lecture 3: Please Read

Lecture 4: Minimum SQL Server installation requirements

Lecture 5: SQL Server Download

Lecture 6: Install SQL Server

Lecture 7: Install SSMS

Lecture 8: Connecting SSMS to SQL Server

Lecture 9: Please Read

Lecture 10: Install adventureworksDW database

Chapter 2: Visual Studio Setup

Lecture 1: What is Visual Studio

Lecture 2: Minimum Visual Studio Installation Requirements

Lecture 3: Installing SQL Data Tools with Visual Studio

Lecture 4: Download and install Visual Studio

Lecture 5: Install SQL Server Data Tools – SSDT

Lecture 6: Install SSDT Designer Templates

Chapter 3: Designing a Data Warehouse

Lecture 1: What is data warehouse

Lecture 2: Database vs Data Warehouse

Lecture 3: Data Warehouse Vs Enterprise Data Warehouse

Lecture 4: Hardware requirements for Data Warehouse

Lecture 5: Enabling SQL Server Agent

Lecture 6: Configure Database Settings for Data Warehouse

Lecture 7: FTDW Sizing Tool

Lecture 8: Logical Design of Data Warehouse

Lecture 9: Physical Design of Data Warehouse: Part 1

Lecture 10: Physical Design of Data Warehouse: Part 2

Lecture 11: Designing Dimension Tables

Chapter 4: Creating an ETL Solution with SSIS

Lecture 1: What is ETL

Lecture 2: What is SSIS

Lecture 3: Introduction to ETL with SSIS

Lecture 4: Creating a new SSIS Project

Lecture 5: Exploring data source: Part 1

Lecture 6: Exploring data source: Part 2

Lecture 7: Introduction to control flow: Part 1

Lecture 8: Introduction to control flow: Part 2

Lecture 9: Implementing data flow: Part 1

Lecture 10: Implementing data flow: Part 2

Lecture 11: Debugging SSIS Package : Part 1

Lecture 12: Debugging SSIS Package : Part 2

Lecture 13: Logging SSIS Package Events

Lecture 14: Handling errors in an SSIS Package

Chapter 5: Implementing an Incremental ETL Process

Lecture 1: Introduction to incremental ETL Process

Lecture 2: Extracting modified data: Part 1

Lecture 3: Extracting modified data: Part 2

Lecture 4: Extracting modified data: Part 3

Lecture 5: Extracting modified data: Part 4

Lecture 6: Loading modified data: Part 1

Lecture 7: Loading modified data: Part 2

Lecture 8: Working with changing dimensions

Chapter 6: Deploying and Configuring SSIS

Lecture 1: Integration services catalogs

Lecture 2: Deploying SSIS Solutions

Lecture 3: Execute a package with SQL Server Agent

Lecture 4: Configuring advanced SSIS Settings

Chapter 7: Enforcing Data Quality in Data Warehouse

Lecture 1: Installing Data Quality Services

Lecture 2: Cleansing data with data quality services

Lecture 3: Find duplicate data : Part 1

Lecture 4: Find duplicate data : Part 2

Lecture 5: Using data quality services in SSIS data flow

Chapter 8: Consuming Data in a Data Warehouse

Lecture 1: Introduction to Business Intelligence

Lecture 2: Creating a new SSRS Project in VS 2019

Lecture 3: Using SSRS in Data Warehouse: Part1

Lecture 4: Using SSRS in Data Warehouse: Part2

Lecture 5: Creating a new SSAS Project

Lecture 6: Data Analysis with SSAS : Part 1

Lecture 7: Data Analysis with SSAS : Part 2

Chapter 9: Transact -SQL (T-SQL)

Lecture 1: What is T-SQL

Lecture 2: Basic Database Concepts

Lecture 3: CRUD Operations

Lecture 4: SQL Server Data Types

Lecture 5: Creating a new database

Lecture 6: Creating a new table

Lecture 7: Inserting data into table

Lecture 8: Reading data from table

Lecture 9: Creating Views

Lecture 10: Creating a stored procedure

Lecture 11: Updating Data

Lecture 12: Backing up database

Lecture 13: Deleting Data

Lecture 14: Truncating Table

Lecture 15: Dropping Table

Lecture 16: Dropping Database

Lecture 17: Restoring database

Lecture 18: Thank You

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 33 votes

2 stars: 45 votes

3 stars: 284 votes

4 stars: 610 votes

5 stars: 798 votes

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