Implementing Lookup Logic in SQL Server Integration Services

Implementing Lookup Logic in SQL Server Integration Services, available at $19.99, has an average rating of 4, with 24 lectures, based on 4 reviews, and has 1008 subscribers.

You will learn about Implementing Lookup Logic in SQL Server Integration Services Create SSIS Package Create data flow task Write Data to a Cache Performing Lookups from Cached Data Running Your SSIS Package This course is ideal for individuals who are Beginner Data Analyst or Beginner Data Engineer or Beginner Data Scientist or Beginner Data Warehouse developer or Beginner ETL developer It is particularly useful for Beginner Data Analyst or Beginner Data Engineer or Beginner Data Scientist or Beginner Data Warehouse developer or Beginner ETL developer.

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Summary

Title: Implementing Lookup Logic in SQL Server Integration Services

Price: $19.99

Average Rating: 4

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Implementing Lookup Logic in SQL Server Integration Services

Create SSIS Package

Create data flow task

Write Data to a Cache

Performing Lookups from Cached Data

Running Your SSIS Package

Who Should Attend

Beginner Data Analyst

Beginner Data Engineer

Beginner Data Scientist

Beginner Data Warehouse developer

Beginner ETL developer

Target Audiences

Beginner Data Analyst

Beginner Data Engineer

Beginner Data Scientist

Beginner Data Warehouse developer

Beginner ETL developer

SQL Server Integration Services is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading.

With SSIS, you can perform a lookup on data in the course of a task, using referenced data from any OLE DB source. It is a useful feature that enables you to check on the validity of data, or interpret it before proceeding.

There might be times when developing a SQL Server Integration Services (SSIS) package that you want to perform a lookup in order to supplement or validate the data in your data flow. A lookup lets you access data related to your current dataset without having to create a special structure to support that access.

To facilitate the ability to perform lookups, SSIS includes the Lookup transformation, which provides the mechanism necessary to access and retrieve data from a secondary dataset. The transformation works by joining the primary dataset (the input data) to the secondary dataset (the referenced data). SSIS attempts to perform an equi-join based on one or more matching columns in the input and referenced datasets, just like you would join two tables in in a SQL Server database.

Because SSIS uses an equi-join, each row of the input dataset must match at least one row in the referenced dataset. The rows are considered matching if the values in the joined columns are equal. By default, if an input row cannot be joined to a referenced row, the Lookup transformation treats the row as an error. However, you can override the default behaviour by configuring the transformation to instead redirect any rows without a match to a specific output. If an input row matches multiple rows in the referenced dataset, the transformation uses only the first row. The way in which the other rows are treated depends on how the transformation is configured.

The Lookup transformation lets you access a referenced dataset either through an OLE DB connection manager or through a Cache connection manager. The Cache connection manager accesses the dataset held in an in-memory cache store throughout the duration of the package execution. You can also persist the cache to a cache file (.caw) so it can be available to multiple packages or be deployed to several computers.

Course Curriculum

Chapter 1: Microsoft SQL Server Setup

Lecture 1: Overview of implementing lookup logic in SQL Server Integration Services

Lecture 2: Introduction

Lecture 3: What is SQL Server

Lecture 4: Download SQL Server

Lecture 5: Install SQL Server

Lecture 6: Install SSMS

Lecture 7: Connect SSMS to SQL server

Lecture 8: Please Read

Lecture 9: Install Sample Database

Chapter 2: Visual Studio Setup

Lecture 1: What is Visual Studio

Lecture 2: Visual studio workload

Lecture 3: Install Visual Studio

Lecture 4: Install SQL Server Data Tools – SSDT

Lecture 5: Install SSDT Templates

Chapter 3: Implement Lookup Transformation with SSIS

Lecture 1: What is ETL

Lecture 2: What is Lookup in SSIS

Lecture 3: Create new SSIS Package with SQL Server 2019

Lecture 4: Create new SSIS Package with SQL Server 2014

Lecture 5: Write data to cache – Part 1

Lecture 6: Write data to cache – Part 2

Lecture 7: Performing lookups from cached data – Part1

Lecture 8: Performing lookups from cached data – Part2

Lecture 9: Running Your SSIS Package

Lecture 10: Conclusion

Instructors

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