MongoDB Developer

Course code: MONGOD

MongoDB is a very popular open source NoSQL database. When scalability and speed are required, this database shines.

885 EUR

1 071 EUR including VAT

The earliest date from 20.02.2023

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Course dates

Starting date: 20.02.2023

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting date: 27.03.2023

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting date: 29.05.2023

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting date: 17.07.2023

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting date: 04.09.2023

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting date: 06.11.2023

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting date: Individual

Type: In-person/Virtual

Course duration: 3 days

Language: en/cz

Price without VAT: 885 EUR

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Starting
date
Place
Type Course
duration
Language Price without VAT
20.02.2023 In-person/Virtual 3 days en/cz 885 EUR Register
27.03.2023 In-person/Virtual 3 days en/cz 885 EUR Register
29.05.2023 In-person/Virtual 3 days en/cz 885 EUR Register
17.07.2023 In-person/Virtual 3 days en/cz 885 EUR Register
04.09.2023 In-person/Virtual 3 days en/cz 885 EUR Register
06.11.2023 In-person/Virtual 3 days en/cz 885 EUR Register
Individual In-person/Virtual 3 days en/cz 885 EUR Register
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Course description

MongoDB is a very popular open source NoSQL database. When scalability and speed are required, this database shines. It is a document database which imposes very little and has drivers for many programming languages. This course will teach you how to get mongo running, manipulate and query data, index for speed, and arm you with the essential skills required to start using Mongo.

Course structure

Document manipulation -Insert,Update, Remove, Query
Data types, references, IDs, keys, sequence
Nested documents
Tree structures
Course courses
Two-phase commit
Aggregation
Pipelines
Map-reduce
MongoDB indices and optimization

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