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دسته بندی دوره ها

Become a Data Warehouse Engineer – (DW,SQL,ETL/SSIS,Azure)

سرفصل های دوره

Practical Data Warehousing: Data Warehouse Design,Azure Synapse, ETL, Ingesting and Consuming Data in a Data Warehouse


1 - Introduction to Data Warehouse
  • 1 - Introduction
  • 2 - What is a Data Warehouse
  • 3 - Database vs Data Warehouse
  • 4 - Standard Data Warehouse Vs Enterprise Data Warehouse
  • 5 - Pro and cons of an SQL Server Data Warehouse.html
  • 6 - Data warehousing concepts.html
  • 7 - Data Warehousing Architecture.html
  • 8 - Data Warehousing Tools.html
  • 9 - Data Warehouse best practices.html

  • 2 - Microsoft SQL Server Setup
  • 10 - What is SQL Server
  • 11 - SQL Server Editions
  • 12 - Please Read.html
  • 13 - Microsoft SQL Server Installation Requirements.html
  • 14 - Download SQL Server
  • 15 - Install SQL Server
  • 16 - Install SQL Server Management Studio SSMS
  • 17 - Connect SSMS to SQL Server
  • 18 - Note on Databases.html
  • 19 - Restoring Sample Data Warehouse Database

  • 3 - SQL Server Data Warehouse Configurations
  • 20 - Hardware requirements for Data Warehouse.html
  • 21 - Enable SQL Server Agent
  • 22 - Configure Database Settings for Data Warehouse

  • 4 - Data Warehouse Design
  • 23 - Logical Data Warehouse Design
  • 24 - Physical Data Warehouse Design Part 1
  • 25 - Physical Data Warehouse Design Part 2
  • 26 - Designing Dimension Tables

  • 5 - Visual Studio Setup
  • 27 - What is Visual Studio.html
  • 28 - Visual Studio Installation Requirements.html
  • 29 - Installing Visual Studio
  • 30 - Download SQL Server Data Tools SSDT for Visual Studio.html
  • 31 - Installing SQL Server Data Tools SSDT
  • 32 - Install SSDT Extensions

  • 6 - Creating an ETL Solutions with SSIS
  • 33 - What is ETL.html
  • 34 - What is SSIS.html
  • 35 - Introduction to ETL with SSIS
  • 36 - Creating a new SSIS Project.html
  • 37 - Exploring data source Part 1.html
  • 38 - Exploring data source Part 2
  • 39 - Introduction to control flow Part 1
  • 40 - Introduction to control flow Part 2
  • 41 - Implementing data flow Part 1
  • 42 - Implementing data flow Part 2
  • 43 - Debugging SSIS Package Part 1
  • 44 - Debugging SSIS Package Part 2
  • 45 - Logging SSIS Package Events
  • 46 - Handling errors in an SSIS Package

  • 7 - Implementing Incremental ETL Process
  • 47 - Introduction to incremental ETL Process
  • 48 - Extracting modified data Part 1
  • 49 - Extracting modified data Part 2
  • 50 - Extracting modified data Part 3
  • 51 - Extracting modified data Part 4
  • 52 - Loading modified data Part 1
  • 53 - Loading modified data Part 2
  • 54 - Working with changing dimensions

  • 8 - SSIS Configuration and Deployment
  • 55 - Integration services catalogs
  • 56 - Deploying SSIS Solutions
  • 57 - Execute a package with SQL Server Agent
  • 58 - Configuring advanced SSIS Settings

  • 9 - Enforcing Data Quality in a Data Warehouse
  • 59 - Enforcing Data Quality.html
  • 60 - Installing Data Quality Services
  • 61 - Cleansing data with data quality services
  • 62 - Detecting duplicate data Part 1
  • 63 - Detecting duplicate data Part 2
  • 64 - Using Data Quality Services in SSIS Data Flow

  • 10 - Consuming Data in a Data Warehouse
  • 65 - Consuming Data.html
  • 66 - Introduction to Business Intelligence
  • 67 - Creating a new SSRS Project
  • 68 - Using SSRS in Data Warehouse Part 1
  • 69 - Using SSRS in Data Warehouse Part 2
  • 70 - Creating a new SSAS Project
  • 71 - Data Analysis with SSAS Part 1
  • 72 - Data Analysis with SSAS Part 2
  • 73 - Using Adhoc SQLTSQL Queries.html

  • 11 - Azure Data Warehouse
  • 74 - What is Azure
  • 75 - Create a free Azure Subscription Account
  • 76 - How to access Azure Services
  • 77 - What is Azure Synapse Analytics
  • 78 - When to use Azure Synapse Analytics.html
  • 79 - Common types of analytical techniques.html
  • 80 - What is a dedicated SQL Pool
  • 81 - Provision a dedicated SQL Pool for data warehouse
  • 82 - Provision Azure Synapse Analytics workspace
  • 83 - Explore Synapse Studio
  • 84 - Ingest data with a pipeline
  • 85 - Use a Serverless SQL Pool to analyse data
  • 86 - Visualizing data with Synapse Studio
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    تاریخ انتشار: ۲۵ تیر ۱۴۰۲
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