Help
Product Image

Delivering a Data Warehouse in the Cloud

In this course of software engineering, you will figure out how to deploy, plan, and load information using Azure SQL Data Warehouse of Microsoft or SQL DW.

Self-Paced

Learning Style

Microsoft

Provider

Intermediate

Difficulty

18 Hours

Course Duration

Course Info

Download PDF

Certificate

See Sample

tab
About Individual Course:
  • Individual course plan gives you access to this course
$99.00
/ Each

When you subscribe, you get:
Lite Subscription plan gives you access to this course and over 34 other popular courses
On Sale!
$0.00
$0.00
/ Month

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240

In this course of software engineering, you will figure out how to deploy, plan, and load information using Azure SQL Data Warehouse of Microsoft or SQL DW.

Course Information

About this course:

At the point when you have to scale your data warehouse processing and storage abilities in minutes, not months, you need a cloud-based enormously equal processing arrangement.

In this course of software engineering, you will figure out how to deploy, plan, and load information using Azure SQL Data Warehouse of Microsoft or SQL DW. You'll find out about compressed in-memory indexes, data distribution, elastic scale, and PolyBase for Big Data.

Note: To finish the hands-on components in this course, you will require an Azure membership. You can pursue a free Azure preliminary membership (a legitimate credit card is required for confirmation, yet you won't be charged for Azure services). Note that the free preliminary isn't accessible in all locations. It is conceivable to finish the course and gain credentials without completing the hands-on practices.

Course Objective:

  • Choosing an enormously equal processing design for a cloud-based data warehouse.
  • Designing indexes and tables to productively distribute information in tables across numerous nodes.
  • Loading information from an assortment of sources, querying using PolyBase, integrating into Big Data situations, and securing and recovering information.

Audience:

Data Analyst

Programmers

Prerequisite:

Awareness of database ideas and fundamental SQL inquiry syntax Familiarity with the analytics and reporting needs of the users a willingness to adapt effectively and continue on while troubleshooting specialized issues is basic.

Career & Salary Insight

Outline

More Information

More Information
Brand Microsoft
Subjects Cloud Computing
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Intermediate
Course Duration 18 Hours
Language English

Acclaim Badge

Financing

Monthly Payments With Affirm

QuickStart and Affirm have teamed up to offer you financing, allowing you to pay off your purchase over time, on your own terms. Simply select Affirm in checkout, and you will need to take a few moments to fill out some information for a real-time decision. Checking your eligibility and terms won't affect your credit score. Once you are qualified, you will have the option to choose from 3, 6, 12, 18 or 26-month financing terms*, with each term clearly showing your monthly payment. No hidden fees or costs! it's that simple!


Rates are between 0-30% APR. As an example, a $700 purchase might cost $63.24/mo for 12 months at 15% APR. A down payment may be required. Subject to eligibility check and approval. Payment options depend on your purchase amount. Estimated payment excluded taxes and shipping fees. Paid interest is nonrefundable. Actual terms may vary. Payment options through Affirm are provided by these lending partners: affirm.com/lenders. Visit affirm.com/help for more info.

Reviews

Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Course Expert:

Author

Tom Robertson
(Data Science Enthusiast)

Tom is an innovator first, and then a Data Scientist & Software Architect. He has integrated expertise in business, product, technology and management. Tom has been involved in creating category defining new products in AI and big data for different industries, which generated more than hundred million revenue cumulatively, and served more than 10 million users.
As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

click here