What experience level is required for Extracting and Transforming Data in SSIS?

This course is aimed at the Intermediate level. Having some basic understanding of the topic will help you get the most out of the curriculum.

How long does it take to complete Extracting and Transforming Data in SSIS?

The total duration of the course is approximately 2 hour 46 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science

Extracting and Transforming Data in SSIS

Name: Extracting and Transforming Data in SSIS
Availability: InStock
Rating: 5 (63 reviews)

SSIS is the main on-premises ETL (Extract, Transform, and Load) tool from Microsoft, and it's heavily utilized for data engineering on SQL Server. In this course, you'll learn how to install and configure SSIS, and develop ETL packages with it.

5|Reviews (63)

radio_button_checked

Core Tech

₹10,563/yr

radio_button_unchecked

Core Tech

₹1,254/mo

Pluralsight Teams₹4,166.75 per user/month, billed annually

₹50,004

CompleteBilled Monthly

₹2,370/mo

Why choose Core Tech?

check

3,900+ Courses

check

Software Development

check

IT Operations

check

Product & UX

check

Business Skills

Compare all plansarrow_forward

verifiedGet this course for free with the Coursera Plus subscription.

✓ Compare courses before making a decision

Check Latest Price →

Price may vary. Check latest price on provider site.

Course Insight

Suitable for intermediate learners. Works well as a continuation after mastering Data Science fundamentals. It bridges the gap toward advanced, production-level engineering.

Intermediate FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Data Scientist, Data Analyst, Machine Learning Engineer.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

2 hour 46 minutes

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Course Overview : 1min.
Understanding the SSIS Interface : 17mins.
Building Your First SSIS Package : 17mins.
Defining Common Control Flow Operations : 35mins.
Integrating Advanced Control Flow Operations : 30mins.
Transforming Data with Data Flow Operations : 45mins.
Piping Data with Data Flow Operations : 19mins.

See side-by-side differences in what you’ll learn

Description

Data engineering is in the backbone of advanced analytics, business intelligence, and machine learning activities, and is also one of the most exciting and rewarding professions in the IT industry today. SSIS is the main SQL Server tool for achieving ETL (Extract, Transform, and Load) goals, whether you are: Building a data warehouseRansforming unstructured or semi-structured files into valuable insights, orLoading massive amounts of information for data sciences operationsIn this SSIS tutorial, Extracting and Transforming Data in SSIS, you'll learn how to use SSIS to create and execute ETL Packages. First, you'll discover how to use conditional logic and loops to control your data flow. Next, you'll delve into integrating data from sources other than databases. Then, you'll explore additional processes, scripts, and packages to expand your ETL capabilities beyond SSIS. Finally, you'll learn how to transform data using Data Flow operations, and pipe data by Split, Merge, and Union operations. By the end of this tutorial, you'll be able to use SSIS to execute fundamental ETL processes.

See how this course compares with alternatives