The Role of the Data ONTAP Storage System within Windows Environments
In this course that has a time duration of one hour, a certified instructor of NetApp Alicia Townsend covers the job of the Data ONTAP framework of storage inside the environment of Windows.
Self-Paced
Learning Style
NetApp
Provider
Beginner
Difficulty
1 Hour
Course Duration
Course Info
Certificate
{{startDate}}
9:00 AM - 5:00 PM CST
Duration - 0 Days -
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 that has a time duration of one hour, a certified instructor of NetApp Alicia Townsend covers the job of the Data ONTAP framework of storage inside the environment of Windows.
Course Information
About this course:
In this course that has a time duration of one hour, a certified instructor of NetApp Alicia Townsend covers the job of the Data ONTAP framework of storage inside the environment of Windows. Reasonable for individuals who work with the technologies of NetApp and hybrid cloud environments.
Course Objective:
To have a point by point conversation on the job of Data ONTAP storage frameworks in an environment of MS Windows.
Audience:
NetApp Administrators
Individuals who work with hybrid cloud environments and NetApp technologies.
Prerequisite:
Should be aware of the technologies of NetApp.
Outline
More Information
| Brand | NetApp |
|---|---|
| Subjects | IT Ops & Management |
| Lab Access | No |
| Technology | NetApp |
| Learning Style | Self-Paced Learning |
| Learning Type | Course |
| Difficulty | Beginner |
| Course Duration | 1 Hour |
| Language | English |
Reviews
Write Your Own Review
Related Courses
Sale
![Microsoft 365 - Security and Compliance]()
Microsoft 365 - Security and Compliance
- Self-Paced Learning
- 3 Hours
Now Only
$25.00
Regular Price
$50.00
Course Expert:
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.
