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Accelerated NCDA Boot Camp Data ONTAP 7-Mode (ANCDABC87)

This online course is designed for those individuals who aspire to train and become qualified Data ONTAP 7-mode professionals.

Virtual

Learning Style

NetApp

Provider

Intermediate

Difficulty

5 Days

Course Duration

60 Units

NATU

Course Info

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  • Individual course plan gives you access to this course
$4,500.00
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This online course is designed for those individuals who aspire to train and become qualified Data ONTAP 7-mode professionals.

Course Information

About this Course:

This online course is designed for those individuals who aspire to train and become qualified Data ONTAP 7-mode professionals. Those who attend this course, will be exposed to multiple practice exercises so as to prep for the NetApp Certified Data Administrator (NCDA) EXAM. This course also includes a range of online sessions designed by experts . The main idea is to build the capacity of students who are  aiming to appear in the NetApp Certified Data Administrator (NCDA) EXAM.  Primarily this course hopes to fully and completely prep you for the aforementioned exam in order for you to successfully clear it.

Course Objectives:

By the end of this course, the students should be have learnt the following skills and be able to;

  • Acquire the skills needed to configure a Data ONTAP storage system in an NFS environment
  • Learn the methodologies necessary to configure and administer a storage system for an efficient functionality of CIFS
  • Gain a comprehensive understanding and be able to explain  how to configure a storage system for a SAN FC environment
  • Learn how to configure and administer a storage system in a SAN iSCSI environment
  • Elucidate and put into practice the backup and recovery methods that are available in the Data ONTAP operating system
  • Learn and effectively work with the business continuance techniques that are available in the Data ONTAP operating system

Audience:

This course is targeted towards the following audience;

  • Those who are Net App customers, partners and/or employees

Prerequisites:

These are the prerequisites which are an absolute requirement for attending this course.

  • A minimum of three years of experience working in a storage related function, for exaample as a storage administrator or field engineer
  • A minimum of six months experience working  with Net App storage solutions
  • Data ONTAP 7-Mode Administration (D7ADM)

NOTE:  Those who have experience working in a Net App ONTAP Operating System can also be a part of this intense boot camp. The web-based version of Data ONTAP 7-Mode will not help with sufficient preparation for those aiming to be NCDA certified after attending of this course.

Suggested prerequisite course:

The following courses are suggested to be taken prior to attending this course

  • Those who are interested in attending this course must have completed the D7ADM learning program prior to beginning this course. This is so because this course is completely based on the D7ADM learning program.

Outline

More Information

More Information
Brand NetApp
Subjects IT Ops & Management
Lab Access Yes
Technology NetApp
Learning Style Virtual Classroom
Learning Type Course
Difficulty Intermediate
Course Duration 5 Days
Language English
NATU 60 Units

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Course Prerequisites
Data ONTAP 7-Mode Administration (D7ADM)
Data ONTAP 7-Mode Administration (D7ADM)
100%
  • Multi-Location Classroom
  • 5 Days
$4,500.00
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.

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