Microsoft SQL Server 2012 Course for Implementing a Data Warehouse

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Implementing a Data Warehouse with Microsoft SQL Server 2012 Course Overview

New version Implementing a Data Warehouse with Microsoft SQL Server 2014 is now available.

This Implementing a Data Warehouse with Microsoft SQL Server 2012 course is designed to teach students how to implement a Data Warehouse with Microsoft SQL Server. This course is suitable for Database Administrators, System Analysts, and IT professionals, who have some basic knowledge of SQL Server and who want to learn how to design and implement a successful Data Warehouse using Microsoft SQL Server 2012.
The course provides students with a fundamental understanding of data warehouse design and architecture. Through the course, students will learn how to design and create data warehouses, ETL packages and data modeling. Topics covered include basic T-SQL programming and data warehouse design, creating OLAP cubes, and designing and implementing star schemas.
This course is highly recommended for anyone who wants to acquire the knowledge and confidence to design and implement a data warehouse using Microsoft SQL Server 2012.It is an ideal first step for anyone looking to enter the job market as a Data Warehouse Developer or ETL Developer.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage
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Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

Destination Training
(Dubai/London/Sydney
New York/Delhi/Goa
Singapore)

Flexi
(On Demand Videos)

You will learn:

Module 1: Introduction to Data Warehousing
  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution
  • Lab 1: Exploring a Data Warehousing Solution
  • Considerations for Building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances
  • Logical Design for a Data Warehouse
  • Physical Design for a Data Warehouse
  • Lab 3: Implementing a Data Warehouse Schema
  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow
  • Lab 4: Implementing Data Flow in an SSIS Package
  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Lab 5A: Implementing Control Flow in an SSIS Package
  • Managing Consistency
  • Lab 5B: Using Transactions and Checkpoints
  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package
  • Lab 6: Debugging and Troubleshooting an SSIS Package
  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Lab 7A: Extracting Modified Data
  • Loading Modified Data
  • Lab 7B: Loading Incremental Changes
  • Overview of Cloud Data Sources
  • SQL Azure
  • The Windows Azure Marketplace DataMarket
  • Lab: Using Cloud Data in a Data Warehouse Solution
  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Lab 9A: Cleansing Data
  • Using Data Quality Services to Match Data
  • Lab 9B: Deduplicating Data
  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub
  • Lab 10: Implementing Master Data Services
  • Using Custom Components in SSIS
  • Using Scripts in SSIS
  • Lab 11: Using Custom Components and Scripts
  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution
  • Lab 12: Deploying and Configuring SSIS Packages
  • Introduction to Business Intelligence
  • Introduction to Reporting
  • Introduction to Data Analysis
  • Lab 13: Using Business Intelligence Tools
Live Online Training (Duration : 40 Hours) 1500 + If you accept merging of other students. Per Participant
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

There are no specific prerequisites required to take a Implementing a Data Warehouse with Microsoft SQL Server 2012 Training course. However, some prior knowledge or experience with the following concepts will be highly beneficial:
- Database Concepts
- Relational databases
- Structured Query Language (SQL)
- Microsoft SQL Server 2012
- T-SQL Programming
- Data Warehousing Concepts
- ETL (Extract-Transform-Load) Processes
- Business Intelligence Concepts
- Star and Snowflake Schema Design
- Dimensional Modeling

Target Audience


The primary target audience for Implementing a Data Warehouse with Microsoft SQL Server 2012 training are IT professionals who want to gain in-depth knowledge on using Microsoft SQL Server 2012 for developing and implementing data warehouses
This includes database administrators, database developers, IT managers, system architects, and business intelligence developers
The training is also beneficial for software developers, system engineers, and IT consultants looking to develop their skills
Participants should have a basic knowledge of SQL Server, relational databases, and basic data warehouse concepts, prior to taking this course

Learning Objectives of Implementing a Data Warehouse with Microsoft SQL Server 2012


1. Learn to design and implement a data warehouse solution.
2. Understand how to use Microsoft SQL Server 2012 to create, manage and maintain a data warehouse.
3. Understand the importance of proper data modelling, Star & Snowflake schemas, and ETL methodology.
4. Be able to implement, test, and monitor recovery strategies for the data warehouse.
5. Learn how to integrate data from disparate disparate sources with SQL Server Integration Services (SSIS).
6. Learn how to load, transform, and merge data with SSIS, and use SQL Server Analysis Services (SSAS) to create cubes.
7. Understand how to implement security in the data warehouse with SQL Server 2012.
8. Gain an understanding of data warehousing best practices, data cleansing, and reporting services.
9. Leverage the flexibility of data warehouses to efficiently store and analyze large amounts of data.
10. Learn to troubleshoot and optimize the performance of the data warehouse.

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Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?
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United States
A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker
United States
A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson
United States
A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad
United States
A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam
United States
A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
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United States
A1. Exceptional... recommend to everyone!
Shyam Vaddakapett
United States
A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
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A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani
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A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous
United States
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FAQ's

1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
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The Fee includes:
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
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