CD210 Couchbase NoSQL Data Modeling, Querying, and Tuning Using N1QL on Apr 18 VIRTUAL Class - Pacific / Mountain Time
CD210 Couchbase NoSQL Data Modeling, Querying, and Tuning Using N1QL
April 18, 2017
VIRTUAL Class - Pacific / Mountain Time
Please click "Register" below to Enroll in CD210 Couchbase NoSQL Data Modeling, Querying, and Tuning Using N1QL on April 18.
This class is no longer accepting new registrations. We encourage you to view other dates on our public schedule.
When is this training taking place?
This class is scheduled to run over the following day(s):
Tuesday, April 18, 2017 9:00 AM - 5:00 PM
Wednesday, April 19, 2017 9:00 AM - 5:00 PM
Thursday, April 20, 2017 9:00 AM - 5:00 PM
All times are based on the following time-zone: Pacific Daylight Time
Is this class confirmed to run?
This class is not yet confirmed but it will most likely run. Your registration may help us confirm this class.
Where is this training taking place?
This training is taking place in VIRTUAL Class - Pacific / Mountain Time.
What is the price for this training?
This training is priced at $ 2295.00 USD per participant.
We accept payment by credit card (VISA, MasterCard, American Express, Discover) with immediate confirmation.
Enrollment via Purchase Order is an Enrollment Request only and is unconfirmed until order and payment process is completed via Enterprise Sales. You will be contacted to complete the purchase.
All Couchbase training purchased subject to Learning Services Terms and Conditions.
Who is providing this training?
This class is delivered by Couchbase.
How is this training usually structured?
On-line training is typically structured into one-hour-long sessions with 10-minute breaks between them.
Who are your instructors?
Our instructors have superb hands-on experience with the technology they teach and many of them are published authors. This gives them the ability to go beyond the curriculum and to illustrate examples inspired by your specific project goals.
What is the maximum class size?
This class allows up to 16 participants.
In general, we strive to have an optimal class size, such that:
- Instructor(s) can provide adequate attention to participants' questions and concerns as well as assist with the lab-work.
- There are enough participants in the class to create an engaging group-dynamic, which facilitates learning.