Microsoft/Implementing a SQL 2016 Data Warehouse (SSIS)

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Implementing a SQL 2016 Data Warehouse (SSIS) Course Overview

New version 55321AC - SQL Server Integration Services is now available.

As every business is different, creating bespoke data warehousing solutions is critical. Using the SQL language and the right skillset, professionals are able to craft these custom data warehousing solutions and help organizations derive strong and consistent value from the influx of large data volumes.

Implementing a SQL 2016 Data Warehouse (SSIS) training teaches professionals the necessary skills to develop dynamic and easy-to-use data warehouses allowing for a more efficient and effective approach to data management. Check out the dates below to enroll in this Implementing a SQL 2016 Data Warehouse course today.

The 1-on-1 Advantage
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  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

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

Flexi
(On Demand Videos)

You will learn:

Module 1: Introduction to Data Warehousing
  • Lesson 1: Overview of Data Warehousing
  • Lesson 2: Considerations for a Data Warehouse Solution
  • Lab: Exploring a Data Warehousing Solution
  • Lesson 1: Considerations for Data Warehouse Infrastructure
  • Lesson 2: Planning Data Warehouse Hardware
  • Lab: Planning Data Warehouse Infrastructure
  • Lesson 1: Data Warehouse Design Overview
  • Lesson 2: Designing Dimension Tables
  • Lesson 3: Designing Fact Tables
  • Lesson 4: Physical Design for a Data Warehouse
  • Lab: Implementing a Data Warehouse
  • Lesson 1: Introduction to Columnstore Indexes
  • Lesson 2: Creating Columnstore Indexes
  • Lesson 3: Working with Columnstore Indexes
  • Lab: Using Columnstore Indexes
  • Lesson 1: Advantages of Azure SQL Data Warehouse
  • Lesson 2: Implementing an Azure SQL Data Warehouse Database
  • Lesson 3: Developing an Azure SQL Data Warehouse
  • Lesson 4: Migrating to an Azure SQL Data Warehouse
  • Lesson 5: Copying Data with the Azure Data Factory
  • Lab: Implement an Azure SQL Data Warehouse
  • Lesson 1: Introduction to ETL with SSIS
  • Lesson 2: Exploring Source Data
  • Lesson 3: Implementing Data Flow
  • Lab: Implementing Data Flow in an SSIS Package
  • Lesson 1: Introduction to Control Flow
  • Lesson 2: Creating Dynamic Packages
  • Lesson 3: Using Containers
  • Lab A: Implementing Control Flow in an SSIS Package
  • Lesson 4: Managing Consistency
  • Lab B: Using Transactions and Checkpoints
  • Lesson 1: Debugging an SSIS Package
  • Lesson 2: Logging SSIS Package Events
  • Lesson 3: Handling Errors in an SSIS Package
  • Lab: Debugging and Troubleshooting an SSIS Package
  • Lesson 1: Introduction to Incremental ETL
  • Lesson 2: Extracting Modified Data
  • Lab A: Extracting Modified Data
  • Lesson 3: Loading Modified Data
  • Lesson 4: Temporal Tables
  • Lab B: Loading a Data Warehouse
  • Lesson 1: Introduction to Data Quality
  • Lesson 2: Using Data Quality Services to Cleanse Data
  • Lab A: Cleansing Data
  • Lesson 3: Using Data Quality Services to Match Data
  • Lab B: Deduplicating Data
  • Lesson 1: Introduction to Master Data Services
  • Lesson 2: Implementing a Master Data Services Mode
  • Lesson 3: Hierarchies and Collections
  • Lesson 4: Creating a Master Data Hub
  • Lab: Implementing Master Data Services Model
  • Lesson 1: Using Scripts in SSIS
  • Lesson 2: Using Custom Components in SSIS
  • Lab: Using Custom Scripts
  • Lesson 1: Overview of SSIS Development 13-2
  • Lesson 2: Deploying SSIS Projects 13-5
  • Lesson 3: Planning SSIS Package Execution 13-14
  • Lab: Deploying and Configuring SSIS Packages
  • Lesson 1: Introduction to Business Intelligence
  • Lesson 2: Introduction to Data Analysis
  • Lesson 3: Introduction to Reporting
  • Lesson 4: Analyzing Data with Azure SQL Data Warehouse
  • Lab: Using a Data Warehouse
Live Online Training (Duration : 40 Hours)
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.

1950 + If you accept merging of other students.
4 Hours
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Week Days
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Start Time : At any time

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1-On-1 Training is Guaranteed to Run (GTR)
Group Training
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Following courses are similar to Implementing a SQL 2016 Data Warehouse (SSIS)

  • 1. Oracle Data Integrator 12c: Integration and Administration Ed 3 Implementing a SQL 2016 Data Warehouse (SSIS) and Oracle Data Integrator 12c: Integration and Administration Ed 3 are courses focused on data integration and administration Read More

Course Prerequisites

In order to sit this Implementing a SQL 2016 Data Warehouse course, participants must have;

  • Basic knowledge of RDBMS
  • Understanding of querying with Transact-SQL
  • Some exposure to basic programming constructs, including looping and branching

Implementing a SQL 2016 Data Warehouse (SSIS) training and certification course offers students an opportunity to comprehensively familiarize themselves with SQL Server Data tools, features, workflow applications, ETL, and other important aspects.

Implementing a SQL 2016 Data Warehouse course allows students to develop in-depth knowledge around developing packages using a variety of tasks while providing ETL solutions based on varied requirements. This SSIS online course also equips students with the skills needed to efficiently work with SQL Server Integration Services for business intelligence while making students proficient in gathering data from flat files, XML, and relational data sources.

Key Features of Implementing a SQL 2016 Data Warehouse (SSIS) Certification Training Course

  • 5-day Instructor-led Implementing a SQL 2016 Data Warehouse Training
  • Get access to a free 1-hour Implementing a SQL 2016 Data Warehouse course preview
  • Expert SQL Data Warehouse trainers across the globe
  • Accredited Implementing a SQL 2016 Data Warehouse course material prepared by SMEs
  • Get real-life experience through Microsoft lab sessions
  • Industry-recognized Implementing a SQL 2016 Data Warehouse Course Completion certificate provided
  • Implementing a SQL 2016 Data Warehouse training provided across 100+ locations globally

Who can take up Implementing a SQL 2016 Data Warehouse Training?

Job roles that can take up Implementing a SQL 2016 Data Warehouse online training include, but are not limited to:

  • Database Administrators
  • Data Warehouse Professionals
  • Server Administrators
  • Business Intelligence Developers
  • Data Cleansing Professionals
  • Data Implementation Specialists
  • Data Security Professionals
  • Data Management Specialists
  • Data Quality Professionals
  • Programming Professionals
  • Professionals who want a complete understanding of Implementing a Data Warehouse in an organization
  • Professionals looking to clear their Microsoft 70-767: Implementing a Data Warehouse using SQL certification exam

Learning Objectives of Implementing a SQL 2016 Data Warehouse Training

This comprehensive SSIS course features fourteen modules with interlaced labs. The modules cover topics including "Introduction to Data Warehousing," "Extending SQL Server Integration Services," and "Consuming Data in a Data Warehouse." The labs offer students an opportunity to demonstrate the information learned in a practical capacity.

After completing this Implementing a SQL 2016 Data Warehouse course, students are able to;

  • Acknowledge the significance of the data integration process
  • Comprehend the components of a data warehousing solution
  • Connect to a particular data source with connection managers
  • Create dynamic packages using parameters and variables
  • Construct SSIS packages and package configuration
  • Implementing a logical and physical design to create a data warehouse
  • Implementing business intelligence and its common scenarios
  • Perform basic ETL (i.e., Extract, Transform, Load) tasks at work
  • Automate the SSIS object model to expand the tasks that can be completed

Benefits of taking up Implementing a SQL 2016 Data Warehouse Training

  • SQL and database management plays a vital role in many organizations' technology stacks. Getting SQL data warehousing certified allows professionals to develop new skills and showcase certification that demonstrates SQL knowledge around the best possible practices.
  • While certifications are not necessary to land a job with SQL-related professions, it definitely offers stronger prospects of securing the position while offering a better position to negotiate for stronger benefits, better salaries, and more responsibilities.
  • SQL developers can earn as much as USD 149,500, with Data Warehouse Developers earning as much as USD 147,000.
  • The prospects for a stable career path with this certification are transparent.

Implementing a SQL 2016 Data Warehouse Exam Format

Upon completion of this Implementing a SQL 2016 Data Warehouse course, students are able to sit the 70-767: Implementing a Data Warehouse using SQL. The SSIS exam is best suited for professionals pursuing a data warehouse developer or ETL (extract, transform and load) developer career path while trying to create business intelligence solutions. The examination measures the following skills;

  • Ability to design, implement and maintain a data warehouse (35-40%)
  • Ability to extract, transform and load data (40-45%)
  • Ability to build data quality solutions (15-20%)

Exam Code 70-767
Exam Name Implementing a SQL 2016 Data Warehouse
Exam Type Multiple-choice and Multiple response questions
Exam Cost USD 165
Total Questions 40 – 60 Questions
Exam Duration 120 Minutes
Passing Score 700 or more
Languages English

 

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  • Oracle Data Integrator 12c: Integration and Administration Ed 3

Microsoft SSIS (SQL Server Integration Services) is a business intelligence tool that is designed to make data migration easier. The main objective of SSIS is to analyze and cleanse data and run extract, transform and load (ETL) processes for data warehousing.

SSIS package configuration is referred to the settings that help us modify a property without opening the package. This is possible due to the fact that the configuration is stored somewhere outside the code that makes up the SSIS package.

Some of the prominent differences between SSIS and SSRS are:

  • SSIS refers to SQL Server Integration Services while SSRS stands for SQL Server Reporting Services.
  • The main feature of SSIS is data holding which includes components such as Import and Export Wizard, SSIS API programming and SSIS Designer. On the other hand, SSRS is mainly used for reporting with components such as Report Designer, Report Builder, Report Server and Report Manager.

An SQL Server Data Warehouse is a kind of central repository used for storing heterogeneous data related to the purposes of analysis and reporting. It consolidates, standardizes and organizes the data for better decision making.

There are 7 important steps that one follow to build a robust data warehouse:

  • Determining the objectives of the company
  • Collecting and analyzing information
  • Identifying major or core business processes
  • Constructing a conceptual data model
  • Locating data sources and planning data transformations
  • Tracking the warehouse storage duration
  • Implementing the plan

A database is an organized collection of data. On the other hand, a data warehouse is a kind of database (or group of databases) created to store, filter, retrieve and analyze huge volumes of data. The basic approach these days is to store data from all the databases into a data warehouse which enables one time analysis and visualization on the complete bulk of data.

A data warehouse is a repository of large volume of operational and customer-related data imported from other databases. This ensures analysis of data in a more holistic way. For example, from a business point of few, a data warehouse might include customer information, website details, mailing lists, comment cards and employee information including time cards, demographic data and salary information.

The major benefits of a data warehouse include:

  • Enhanced system performance
  • Timely data access
  • Increased consistency and quality
  • High Return on Investment (ROI)
  • Access to historical data
  • Cost-effective decision making

The features of a data warehouse include:

  • Subject Oriented
  • Integrated
  • Time Variant
  • Non-Volatile
  • Data Granuality

Data warehousing is applicable to a whole lot of sectors including banking, finance, consumer goods, government and education, healthcare, hospitality, insurance, services, telephone and transportation, among many others.

The data warehouse tools help build enterprise data solutions to fetch information from the data easily and quickly in the cloud. Here is a list of the most popular data warehouse tools:

  • Amazon Redshift
  • Teradata
  • Oracle 12c
  • Informatica
  • IBM Infosphere
  • Ab Initio Software
  • ParAccel
  • Cloudera
  • AnalytiX DS
  • MarkLogic

This Implementing a SQL 2016 Data Warehouse online course is intended for;

  • Database professionals looking to fulfill a business intelligence developer role focused on hands-on work. This includes professionals looking to create BI solutions that include data warehouse implementation, ETL, and data cleansing
  • Software and ETL developers
  • Students with a basic knowledge of SQL are looking to start a career in Business Intelligence
  • Database professionals who are responsible for implementing a data warehouse, enforcing data integrity using Microsoft Data Services, developing SSIS packages for data ETL, and cleansing data using Data Quality Services

Big data is a critical component of businesses today. Comprehensive data warehousing and management practices can churn out meaningful business insights allowing companies to optimize their internal processes for a better outcome. In such a scenario, professionals with the right skill set will be all the more valuable, especially with data warehousing skills. Hence, Implementing SQL 2016 Data Warehouse training is all the more critical for professionals as it helps them to stay relevant and helps organizations utilize their data and deliver improved customer services across various verticals. The average salary of a certified Data Warehouse professional may range anywhere between USD 88,000 to USD 132,000 per annum.

The cost of Implementing a SQL 2016 Data Warehouse (SSIS) training course at Koenig Solutions is USD 1050. This depends on the choice of learning format and location of the student. The cost for the Microsoft 70-765 examination remains the same at USD 165 across the globe. This SSIS certification exam can be taken at the Pearson Vue test center either in person or through web-proctored mode.

The average duration of this Implementing a SQL 2016 Data Warehouse course is five days. At Koenig Solutions, we provide two different options to take up this SSIS training either as a 4 hours / day (10 Days) or 8 hours / day (5 days) training.

Participants who enroll for the Implementing a SQL 2016 Data Warehouse certification training will get:

  • A copy of the Implementing a SQL 2016 Data Warehouse course material
  • Microsoft 70-767 Sample Papers
  • Hands-on exercises developed by an expert trainer
  • Implementing a SQL 2016 Data Warehouse course completion certificate from a Microsoft Gold Partner

Yes, Koenig Solutions is a Microsoft Gold Partner to deliver Implementing a SQL 2016 Data Warehouse Certification Training across the globe.

You can take up this Implementing a SQL 2016 Data Warehouse certification training course in five different delivery modes that include:

  • Instructor-led classroom training
  • Instructor-led Live online training
  • 1-on-1 training
  • Fly-me-a-Trainer
  • Corporate/on-site training

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Travel and Visa

Yes we do after your registration for course.

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Others

Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
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