[Udemy] SQL Server Integration Services (SSIS) A Practical Approach [2024, ENG]

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Post 10-Oct-2024 21:40

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SQL Server Integration Services (SSIS) A Practical Approach
Год выпуска: 2024
Производитель: Udemy
Сайт производителя: https://www.udemy.com
Автор: Uplatz Training
Продолжительность: 18ч 30м
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: Просьба не уходить с раздачи,я не смогу поддерживать раздачу вечно.
Поделись халявой с другими людьми,не уходи с раздачи.
Призывай других людей переходить на рутрекер.
Курс на английском языке. Добавлены английские субтитры.
A warm welcome to the SQL Server Integration Services: A Practical Approach course by Uplatz.
SQL Server Integration Services (SSIS) is a powerful data integration and workflow tool in Microsoft SQL Server. It is designed to handle data migration, transformation, and integration tasks. Here’s a detailed description of SSIS and how it works:
Overview of SSIS
SSIS is part of Microsoft SQL Server and is used for building high-performance data integration and workflow solutions. It supports a wide range of data integration scenarios, including data warehousing, data migration, and data synchronization between different data sources.
Key Components of SSIS
Control Flow
Tasks: These are the basic units of work in SSIS. They can perform a wide range of operations, such as executing SQL statements, sending emails, or transferring files.
Containers: These provide structure to the control flow by grouping tasks together. Common containers include Sequence Containers, For Loop Containers, and Foreach Loop Containers.
Precedence Constraints: These define the workflow logic by controlling the order in which tasks and containers are executed based on the success, failure, or completion of preceding tasks.
Data Flow
Data Flow Tasks: These handle the actual data movement and transformation. They are part of the control flow but focus specifically on the ETL process.
Sources: These are the starting points for data in the data flow. They can connect to various data sources such as SQL Server, Oracle, Excel files, and more.
Transformations: These operations modify and clean the data. Common transformations include sorting, aggregating, merging, and data conversion.
Destinations: These are the endpoints for data in the data flow. Data is loaded into destinations such as databases, files, or other data stores.
Event Handlers
These allow you to define custom actions in response to events raised during package execution, such as OnError, OnWarning, OnPreExecute, and OnPostExecute events.
Parameters and Variables
Parameters are used to pass values into packages at runtime, making them dynamic and configurable. Variables are used to store values that packages can use during execution.
Expressions
Expressions enable dynamic property values based on conditions or variable values, allowing packages to adapt to changing conditions.

Содержание

Chapter 1-Introduction to SSIS
Chapter 2-SSIS Terminologies
Chapter 3-SSIS Features
Chapter 4-SSIS Architecture
Chapter 5-Import CSV File to SSIS
Chapter 6-SSIS Tasks
Chapter 7-Data Flow Task
Chapter 8-Excel Connection Manager
Chapter 9-SSIS Demo
Chapter 10-SSIS Installation and Configuration
Chapter 11-SSIS Components
Chapter 12-Export Data to Excel File
Chapter 13-Execute SQL Task
Chapter 14-Export SQL Server Table to Flat File
Chapter 15-Load Flat File Data to SQL Server
Chapter 16-For Loop Container
Chapter 17-For Each Loop Container
Chapter 18-Bulk Insert Task
Chapter 19-Import Fixed Width File
Chapter 20-Import XML File
Chapter 21-Load Excel Data into SQL Server
Chapter 22-SSIS Merge Transformations
Chapter 23-Remove Quotes from Data
Chapter 24-Sequence Container
Chapter 25-SSIS Execute SQL Task
Chapter 26-Libary Stored Procedure
Chapter 27-Functions in SSIS
Chapter 28-Relationships in SSIS
Chapter 29-SSIS Interview Questions
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Формат видео: MP4
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