SSIS Tutorial For Beginners | SQL Server Integration Services (SSIS) | MSBI Training Video | Edureka

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https://www.edureka.co/micorsoft-biEDUREKA MICROSOFT BI CERTIFICATION TRAINING

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❖ Why do we Need Data Integration?
❖ What is Data Integration?
❖ Why SSIS?
❖ What is SSIS?
❖ ETL
❖ Data Warehousing
❖ Installation
❖ What is SSIS Package?
❖ Demo
Agenda For Today

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Why do we Need Data Integration?

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Why do we Need Data Integration?
Every company these days have to process large sets of data from varied sources. This data needs to be processed to
give insightful information for making business decisions.

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What is Data Integration?

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What is Data Integration?
Data integration is a process in which
heterogeneous data is retrieved and combined as an
incorporated form and structure.

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Advantages of Data Integration
Easy data collaboration
Reduce data complexity
Smarter business decisions
Data integrity

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Data Integration Tools
Some of the well known integration tools are :

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Data Integration Tools
Some of the well known integration tools are :
SSIS

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Why SSIS?

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Why SSIS?
 Data can be loaded in parallel to many varied destinations.
 SSIS removes the need of hard core programmers.
 Tight integration with other products of Microsoft.
 SSIS is cheaper than most other ETL Tools.

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What is SSIS?

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What is SSIS?
Data Integration
Workflow
It combines the data residing in different sources and provides
users with a unified view of these data
It can also be used to automate maintenance of SQL Server
databases and updates to multidimensional analytical data
SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that
can be used to perform a broad range of data integration and data transformation tasks.

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How it works?
These tasks of data transformation and workflow creation is carried out using ‘SSIS Package’.
Operational Data ETL DataWarehouse

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Operational Data
• An operational data store (ODS) is a database designed
to integrate data from multiple sources for additional
operations on the data.
• This is the place where most of the data used in current
operation is housed before it's transferred to the data
warehouse for longer term storage or archiving.Operational Data

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ETL Process
ETL is a process to Extract, Transform and Load the data.
Operational Data ETL DataWarehouse

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ETL Process
Extract, Transform and Load (ETL) is the process of extracting the data from various sources, transforming this data
to meet your requirement and then loading into a target data warehouse.

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ETL Process – Step 1
Capture
Scrub Transform
Load and Index
Source System Enterprise Data Warehouse
Data Reconciliation
 Capture : Extract – Obtaining a snapshot of the chosen subset of source data for loading into the data warehouse.

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Capture
Scrub Transform
Load and Index
Data Reconciliation
 Scrub or Clean : Using Pattern recognition and AI techniques to upgrade the quality of the data.

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Capture
Scrub Transform
Load and Index
Data Reconciliation
 Transformation: Converting the data format from that of the Source System to that of the Data Warehouse.

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Capture
Scrub Transform
Load and Index
Data Reconciliation
 Load and Index: Loading the transformed data into the target Data Warehouse and creating an index for this data.

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Datawarehouse
Datawarehouse captures the data from diverse sources for useful analysis and access.
Operational Data ETL Datawarehouse

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Datawarehousing
Datawarehousing is a large set of data accumulated which is used for assembling and managing data from various
sources for the purpose of answering business questions. Hence, helps in making decisions.

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Installation

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Installation of SQL Server 2016
1
Download SQL Server 20162
Go to
https://www.microsoft.c
om/en-us/sql-
server/sql-server-2016

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Installation of Data Tools
1 Go to
https://docs.microsoft.co
m/en-
us/sql/ssdt/download-sql-
server-data-tools-ssdt
Download SQL Server data
Tools 17.1 and install on
your system
2

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What is SSIS Package?

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What is SSIS Package?
Control Flow
Elements
(Handles
workflow)
Data Flow
Elements
(Handles Data
Transformation)
Package
It is an object that implements Integration Services functionality to extract, transform, and load data. A package
is composed of:
• Connections
• Control flow elements
• Data flow elements

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Demo

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Demo
Perform ETL using SSIS package
Student Data Transformation Updated Product
Database
SSIS Package

SSIS Tutorial For Beginners | SQL Server Integration Services (SSIS) | MSBI Training Video | Edureka

SSIS Tutorial For Beginners | SQL Server Integration Services (SSIS) | MSBI Training Video | Edureka

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