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Learning MongoDB Schema, Indexes and Queries. Implementing good design ensures consistent performance at scale!
Autor:
Micheal Shallop
Długość
liczba lekcji: 36, czas trwania: 06:26:55
Ocena

Kup kurs 0,00 zł

Kup kurs 0,00 zł

Kup kurs 0,00 zł

Kup kurs 0,00 zł

Kup kurs 0,00 zł

Kup kurs 0,00 zł

Kup kurs 0,00 zł

Kup kurs 599,00 zł

Kurs video

Learning MongoDB Schema, Indexes and Queries. Implementing good design ensures consistent performance at scale!

(ebook) (audiobook) (audiobook) Książka w języku 1
  • Poziom początkujący
Learning MongoDB Schema, Indexes and Queries. Implementing good design ensures consistent performance at scale! Micheal Shallop - okladka książki

Learning MongoDB Schema, Indexes and Queries. Implementing good design ensures consistent performance at scale! Micheal Shallop - okladka książki

Learning MongoDB Schema, Indexes and Queries. Implementing good design ensures consistent performance at scale! Micheal Shallop - audiobook MP3

Learning MongoDB Schema, Indexes and Queries. Implementing good design ensures consistent performance at scale! Micheal Shallop - audiobook CD

Wydawnictwo:
Packt Publishing
Wersja:
Online
Czas trwania:
6 godz. 26 min.
Ocena:
Bądź pierwszym, który oceni ten kurs
  1. 1. Imposing Schema on a Schema-Less System 00:45:23

  2. 2. Indexes - The Keys to Speed 01:01:34

  3. 3. CRUD 03:03:11

  4. 4. Administration of Your Database 01:36:47

MongoDB makes it possible to store and process large sets of data in ways that increase business value. The flexibility of unstructured, schema-less, storage, combined with robust querying and post-processing functionality, make MongoDB a compelling solution for enterprise big data needs.

We need to discuss database schemas. Yes, MongoDB is touted as schema-less but here's where we show that proper design is what allows our collections to scale. Indexing is something everyone talks about, but few understand. We'll explain MongoDB indexing, and index properties because a successful indexing strategy is a key to performance and scaling. Finally, we'll talk about CRUD commands from the MongoDB client and how to write effective queries.

Taking this course will help you understand supported standards and data types in MongoDB, and best practices to design collections to scale and index them. Also, you will learn some basic CRUD commands.

Wybrane bestsellery

O autorze książki

Micheal Shallop started programming in 1981 on a Tandy TRS-80 Model 1 and hasnt stopped since. He graduated in 1991 from Oklahoma State University with an Honors degree in Computer Science. In his career, hes coded in many programming languages and has used a variety of databases, relational and otherwise. He was the technical author of a patent awarded in 2011 for his work on real-time data collection, aggregation, and forecasting in a conventional (automotive) business.
He is currently working for givingassistant.org, designing and writing a back-end, event-driven, object-oriented, data-agnostic framework utilizing AMQP as the data transport vector and PHP 7.1 as the primary language. He has been programming in PHP for MongoDB since 2010 and has been the architect of several systems, mostly back-end frameworks.
Micheal is interested in anything with a programming language behind it. Most recently, he has been experimenting with Arduino programming on the Raspberry Pi, and writing a social media site in Python. He is also technically skilled in RabbitMQ, general database tech, Python, C/C++, Linux

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