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DATA ENGINEERING WITH MICROSOFT AZURE


NANODEGREE PROGRAM

Master the job-ready skills you need to succeed as a Microsoft Azure data
engineer like designing data models and utilizing other in-demand components of
the cloud computing service.

Enroll Now
Download Syllabus

01Days11Hrs03Min45Sec

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 * ESTIMATED TIME
   
   4 MONTHS
   
   At 5-10 hours/week

 * ENROLL BY
   
   OCTOBER 26, 2022
   
   Get access to the classroom immediately upon enrollment

 * PREREQUISITES
   
   EXPERIENCE WITH SQL, PYTHON, AZURE, AND GITHUB
   
   See prerequisites in detail


WHAT YOU WILL LEARN


 1. DATA ENGINEERING WITH MICROSOFT AZURE
    
    Estimated 4 months to complete
    
    Learners will acquire the skills needed to design data models, create data
    pipelines, and navigate large datasets on the Azure platform. Additionally,
    they will learn to build data warehouses, data lakes, and lakehouse
    architecture.
    
    Download Syllabus
    Related Nanodegree programs
    
    PREREQUISITE KNOWLEDGE
    
    Experience with SQL, Python, Azure, and Github.
    
    See detailed requirements
    
     1. DATA MODELING
        
        In this course, you will find out how to create relational and NoSQL
        data models to fit the diverse needs of data consumers. Additionally,
        you’ll understand the differences between different data models and how
        to choose the appropriate data model for a given situation. Lastly,
        you’ll build fluency in PostgreSQL and Apache Cassandra.
        
        * Data Modeling with Postgres
        * Data Modeling with Apache Cassandra
    
     2. CLOUD DATA WAREHOUSES WITH AZURE
        
        Learn to create cloud-based data warehouses, sharpen data warehousing
        skills, deepen knowledge of data infrastructure, and understand data
        engineering on the cloud using Azure.
        
        * Building an Azure Data Warehouse for Bikeshare Data Analytics
    
     3. DATA LAKES AND LAKEHOUSE WITH SPARK AND AZURE DATABRICKS
        
        Learn about the big data ecosystem and how to use Spark to work with
        massive datasets. You will also store big data in a data lake and
        develop lakehouse architecture on the Azure Databricks platform.
        
        * Building an Azure Data Lake for Bikeshare Data Analytics
    
     4. DATA PIPELINES WITH AZURE
        
        Learn to build, orchestrate, automate, and monitor data pipelines in
        Azure using Azure Data Factory and pipelines in Azure Synapse Analytics.
        Run data transformations, optimize data flows, and interact with data
        pipelines in production.
        
        * Data Integration Pipelines for NYC Payroll Data Analytics
    
     * The average salary for a data engineer is $131,769 per year in the United
       States.


ALL OUR PROGRAMS INCLUDE:


 * REAL-WORLD PROJECTS FROM INDUSTRY EXPERTS
   
   With real-world projects and immersive content built in partnership with
   top-tier companies, you’ll master the tech skills companies want.


 * TECHNICAL MENTOR SUPPORT
   
   Our knowledgeable mentors guide your learning and are focused on answering
   your questions, motivating you, and keeping you on track.


 * CAREER SERVICES
   
   You’ll have access to Github portfolio review and LinkedIn profile
   optimization to help you advance your career and land a high-paying role.


 * FLEXIBLE LEARNING PROGRAM
   
   Tailor a learning plan that fits your busy life. Learn at your own pace and
   reach your personal goals on the schedule that works best for you.


PROGRAM OFFERINGS


 * CLASS CONTENT
   
    * Real-world projects
    * Project reviews
    * Project feedback from experienced reviewers


 * STUDENT SERVICES
   
    * Technical mentor support
    * Student community


 * CAREER SERVICES
   
    * Github review
    * LinkedIn profile optimization




SUCCEED WITH PERSONALIZED SERVICES.

We provide services customized for your needs at every step of your learning
journey to ensure your success.

 * Experienced Project Reviewers
 * Technical Mentor Support


GET TIMELY FEEDBACK ON YOUR PROJECTS.

 * Personalized feedback
 * Unlimited submissions and feedback loops
 * Practical tips and industry best practices
 * Additional suggested resources to improve

 * 1,400+
   
   project reviewers

 * 2.7M
   
   projects reviewed

 * 88/100
   
   reviewer rating

 * 1.1 hours
   
   avg project review turnaround time




LEARN WITH THE BEST.


LEARN WITH THE BEST.


 * MATT SWAFFER, PHD
   
   Data Science Practice Lead at Cognitell
   
   Matt is a data science professional whose career has spanned software
   development, user experience design, and data visualization. He earned his
   PhD in the research area of cognitive psychology in human learning and is an
   adjunct professor teaching software design courses.


 * AMANDA MORAN
   
   Developer Advocate at DataStax
   
   Amanda is a developer advocate for DataStax after spending the last 6 years
   as a software engineer on 4 different distributed databases. Her passion is
   bridging the gap between customers and engineering. She has degrees from the
   University of Washington and Santa Clara University.


 * VISHNU (LUCKY) PAMULA
   
   Sr. Cloud Solution Architect at Microsoft
   
   Lucky is a data & AI evangelist with a track record of successfully helping
   organizations build analytics solutions. Besides his day job, he teaches as
   an adjunct professor, delivers lunch & learns, mentors students, and
   evangelizes Azure Quantum as an ambassador.




DATA ENGINEERING WITH MICROSOFT AZURE


GET STARTED TODAY


 * MONTHLY ACCESS
   
   Pay as you go
   
   €359
   per month
   
   €359/month
   
   €359/month
   
   Enroll now
    * Maximum flexibility to learn at your own pace.
    * Cancel anytime.


 * 4-MONTH ACCESS
   
   Pay upfront and save an extra 13%
   
   €1236 €1436
   for 4-Month access
   
   Enroll now
    * Save an extra 13% vs. pay as you go.
    * 4 months is the average time to complete this course.
    * Switch to monthly price after if more time is needed.
    * Cancel anytime.
   
   Best Value


 * LEARN
   
   Learn to design data models and perform other tasks by utilizing Microsoft
   Azure data engineering principles.


 * AVERAGE TIME
   
   On average, successful students take 4 months to complete this program.


 * BENEFITS INCLUDE
   
    * Real-world projects from industry experts
    * Technical mentor support
    * Career services


RELATED PROGRAMS


 * CLOUD DEVELOPER USING MICROSOFT AZURE
   
   NANODEGREE
   
   Learn to build cloud-based applications on Microsoft Azure, the cloud
   services platform used by 95% of Fortune 500 companies.
   
   Intermediate
   Learn More


 * CLOUD ARCHITECT USING MICROSOFT AZURE
   
   NANODEGREE
   
   Meet the growing demand for Azure cloud architects and learn the skills to
   translate business requirements into technical specifications for reliable,
   scalable, and secure cloud infrastructure using Microsoft Azure.
   
   Advanced
   Learn More

PROGRAM DETAILS

PROGRAM OVERVIEW: WHY SHOULD I TAKE THIS PROGRAM?

 * WHY SHOULD I ENROLL?
   
   This program is designed to help you take advantage of the growing need for
   skilled Microsoft Azure data engineers. Companies everywhere are struggling
   to hire digital talent with the right skills to empower innovation. Thus, now
   is the best time to transform your career.

 * WHAT JOBS WILL THIS PROGRAM PREPARE ME FOR?
   
   The skills you will gain from this Azure data engineering training will
   qualify you for jobs in several industries, as countless companies are trying
   to design data models and perform other tasks using Microsoft Azure.

 * HOW DO I KNOW IF THIS PROGRAM IS RIGHT FOR ME?
   
   The program is for individuals who are looking to advance their Microsoft
   Azure data engineering careers with skills in a burgeoning field.

ENROLLMENT AND ADMISSION

 * DO I NEED TO APPLY? WHAT ARE THE ADMISSION CRITERIA?
   
   No. This Nanodegree program accepts all applicants regardless of experience
   and specific background.

 * WHAT ARE THE PREREQUISITES FOR ENROLLMENT?
   
   To succeed in this program, you should have:
   
    * Intermediate SQL programming skills
    * Intermediate Python programming skills
    * Familiarity with the Azure cloud platform
    * Experience with Github

 * IF I DO NOT MEET THE REQUIREMENTS TO ENROLL, WHAT SHOULD I DO?
   
   We have a number of Nanodegree programs and free courses that can help you
   prepare, including:
   
    * SQL Nanodegree program
    * Programming for Data Science with Python Nanodegree program

TUITION AND TERM OF PROGRAM

 * HOW IS THIS NANODEGREE PROGRAM STRUCTURED?
   
   This Microsoft Azure training program is comprised of content and curriculum
   to support 5 projects. We estimate that students can complete the program in
   4 months, working 5-10 hours per week.
   
   Each project will be reviewed by the Udacity reviewer network and platform.
   Feedback will be provided and if you do not pass the project, you will be
   asked to resubmit the project until it passes.

 * HOW LONG IS THIS NANODEGREE PROGRAM?
   
   Access to this Nanodegree program runs for the length of time specified
   above. If you do not graduate within that time period, you will continue
   learning with month-to-month payments. See the Terms of Use and FAQs for
   other policies regarding the terms of access to our Nanodegree programs.

 * CAN I SWITCH MY START DATE? CAN I GET A REFUND?
   
   Please see the Udacity Program FAQs for policies on enrollment in our
   programs.

SOFTWARE AND HARDWARE: WHAT DO I NEED FOR THIS PROGRAM?

 * WHAT SOFTWARE AND VERSIONS WILL I NEED IN THIS PROGRAM?
   
   There are no software and version requirements to complete this Nanodegree
   program. All coursework and projects can be completed via Student Workspaces
   in the Udacity online classroom.

Show more


DATA ENGINEERING WITH MICROSOFT AZURE



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