Become A Data Warehouse Engineer - (Dw,Sql,Etl/Ssis,Azure)
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Become A Data Warehouse Engineer - (Dw,Sql,Etl/Ssis,Azure)
Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.57 GB | Duration: 7h 28m
Practical Data Warehousing: Data Warehouse Design,Azure Synapse, ETL, Ingesting and Consuming Data in a Data Warehouse
What you'll learn
Provision a dedicated SQL Pool for data warehouse
Provision Azure Synapse Analytics workspace
Ingest data with a pipeline
Use a Serverless SQL Pool to analyse data
Visualize data with Synapse Studio
Data Warehouse Design
Configure Database Settings for Data Warehouse
Designing Dimension Tables
Create an ETL Solutions with SSIS
Implement data flow
Debug SSIS Package
Implement Incremental ETL Process
SSIS Configuration and Deployment
Enforce Data Quality in a Data Warehouse
Consume Data in a Data Warehouse
Requirements
Basic knowledge of Database Concepts advised
Required Software will be covered in the course.
Description
This course is designed to equip you with an understanding of Data Warehousing concepts and practices, SQL programming, ETL processes using SQL Server Integration Services (SSIS), and Azure Synapse Analytics. This course aims to provide you with both theoretical knowledge and practical skills to become a proficient Data Warehouse Engineer.As a part of this course, you will learn how to provision a dedicated SQL Pool for data warehouse use, critical for managing and running large scale analytical processing. You will also get hands-on experience in provisioning Azure Synapse Analytics workspace, Microsoft's integrated analytics service that accelerates your time to insight across data warehouses and big data systems.The course will guide you through designing and building data ingestion systems using a pipeline. You will acquire practical skills on using a Serverless SQL Pool to analyze data, providing you the ability to query data on-demand with no infrastructure setup.You will learn to effectively structure your data warehouse for optimal data retrieval and analysis. This includes learning how to configure database settings for a data warehouse and designing dimension tables - crucial aspects of building a functional, efficient data warehouse.You will also dive deep into creating robust ETL solutions with SSIS, allowing you to manage and automate your data transformation processes. This includes learning to implement data flows, debug SSIS packages, and understand how to implement an incremental ETL process, keeping your data warehouse up-to-date without overloading your systems.The course covers SSIS configuration and deployment, enabling you to effectively manage your ETL solutions in different environments. Ensuring data quality is a crucial aspect of any data warehouse system. You will learn strategies to enforce data quality in a data warehouse, ensuring reliable and accurate insights from your data.Lastly, the course will also train you on how to consume data in a data warehouse. This involves not just extracting data, but also transforming it into useful insights and visualizations, which you will learn to create using Synapse Studio.By the end of this course, you will have a solid foundation in data warehouse engineering, and be ready to take on roles in this exciting and growing field.
Overview
Section 1: Introduction to Data Warehouse
Lecture 1 Introduction
Lecture 2 What is a Data Warehouse
Lecture 3 Database vs Data Warehouse
Lecture 4 Standard Data Warehouse Vs Enterprise Data Warehouse
Lecture 5 Pro and cons of an SQL Server Data Warehouse
Lecture 6 Data warehousing concepts
Lecture 7 Data Warehousing Architecture
Lecture 8 Data Warehousing Tools
Lecture 9 Data Warehouse best practices
Section 2: Microsoft SQL Server Setup
Lecture 10 What is SQL Server
Lecture 11 SQL Server Editions
Lecture 12 Please Read
Lecture 13 Microsoft SQL Server Installation Requirements
Lecture 14 Download SQL Server
Lecture 15 Install SQL Server
Lecture 16 Install SQL Server Management Studio - SSMS
Lecture 17 Connect SSMS to SQL Server
Lecture 18 Note on Databases
Lecture 19 Restoring Sample Data Warehouse Database
Section 3: SQL Server Data Warehouse Configurations
Lecture 20 Hardware requirements for Data Warehouse
Lecture 21 Enable SQL Server Agent
Lecture 22 Configure Database Settings for Data Warehouse
Section 4: Data Warehouse Design
Lecture 23 Logical Data Warehouse Design
Lecture 24 Physical Data Warehouse Design - Part 1
Lecture 25 Physical Data Warehouse Design - Part 2
Lecture 26 Designing Dimension Tables
Section 5: Visual Studio Setup
Lecture 27 What is Visual Studio
Lecture 28 Visual Studio Installation Requirements
Lecture 29 Installing Visual Studio
Lecture 30 Download SQL Server Data Tools (SSDT) for Visual Studio
Lecture 31 Installing SQL Server Data Tools - SSDT
Lecture 32 Install SSDT Extensions
Section 6: Creating an ETL Solutions with SSIS
Lecture 33 What is ETL
Lecture 34 What is SSIS
Lecture 35 Introduction to ETL with SSIS
Lecture 36 Creating a new SSIS Project
Lecture 37 Exploring data source: Part 1
Lecture 38 Exploring data source: Part 2
Lecture 39 Introduction to control flow - Part 1
Lecture 40 Introduction to control flow - Part 2
Lecture 41 Implementing data flow - Part 1
Lecture 42 Implementing data flow - Part 2
Lecture 43 Debugging SSIS Package - Part 1
Lecture 44 Debugging SSIS Package - Part 2
Lecture 45 Logging SSIS Package Events
Lecture 46 Handling errors in an SSIS Package
Section 7: Implementing Incremental ETL Process
Lecture 47 Introduction to incremental ETL Process
Lecture 48 Extracting modified data - Part 1
Lecture 49 Extracting modified data - Part 2
Lecture 50 Extracting modified data - Part 3
Lecture 51 Extracting modified data - Part 4
Lecture 52 Loading modified data - Part 1
Lecture 53 Loading modified data - Part 2
Lecture 54 Working with changing dimensions
Section 8: SSIS Configuration and Deployment
Lecture 55 Integration services catalogs
Lecture 56 Deploying SSIS Solutions
Lecture 57 Execute a package with SQL Server Agent
Lecture 58 Configuring advanced SSIS Settings
Section 9: Enforcing Data Quality in a Data Warehouse
Lecture 59 Enforcing Data Quality
Lecture 60 Installing Data Quality Services
Lecture 61 Cleansing data with data quality services
Lecture 62 Detecting duplicate data: Part 1
Lecture 63 Detecting duplicate data: Part 2
Lecture 64 Using Data Quality Services in SSIS Data Flow
Section 10: Consuming Data in a Data Warehouse
Lecture 65 Consuming Data
Lecture 66 Introduction to Business Intelligence
Lecture 67 Creating a new SSRS Project
Lecture 68 Using SSRS in Data Warehouse - Part 1
Lecture 69 Using SSRS in Data Warehouse - Part 2
Lecture 70 Creating a new SSAS Project
Lecture 71 Data Analysis with SSAS - Part 1
Lecture 72 Data Analysis with SSAS - Part 2
Lecture 73 Using Ad-hoc SQL/T-SQL Queries
Section 11: Azure Data Warehouse
Lecture 74 What is Azure
Lecture 75 Create a free Azure Subscription Account
Lecture 76 How to access Azure Services
Lecture 77 What is Azure Synapse Analytics
Lecture 78 When to use Azure Synapse Analytics
Lecture 79 Common types of analytical techniques
Lecture 80 What is a dedicated SQL Pool
Lecture 81 Provision a dedicated SQL Pool for data warehouse
Lecture 82 Provision Azure Synapse Analytics workspace
Lecture 83 Explore Synapse Studio
Lecture 84 Ingest data with a pipeline
Lecture 85 Use a Serverless SQL Pool to analyse data
Lecture 86 Visualizing data with Synapse Studio
Beginner Data Warehouse Engineers,Beginner Data Warehouse Developers,Beginner Data Analyst,Beginner Data Engineers,Beginner Data Science
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