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 Database EngineerDBA - (MySQL, MongoDB, SQLite)

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Database  EngineerDBA - (MySQL, MongoDB, SQLite) Empty
MensajeTema: Database EngineerDBA - (MySQL, MongoDB, SQLite)   Database  EngineerDBA - (MySQL, MongoDB, SQLite) EmptyMar Mayo 18, 2021 3:09 am

Database  EngineerDBA - (MySQL, MongoDB, SQLite) 9fcc5af07f831163701c483c372ce138
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 193 lectures (17h 30m) | Size: 4 GB
Practical Database Administration and Engineering Step by Step

What you'll learn:
Creating Databases
Creating Tables
Creating Views
Creating Stored Procedures
Using subqueries
Managing users and privileges
Performing backups and restore
Perform table joins
Perform aggregate functions
Attaching Sample Database
Querying data from all columns in a table
Querying data from specific columns in a table
Sorting data using ORDER BY clause
Removing duplicate records
Identifying NULL values
Filtering data
Inserting data unto database
Updating existing records inside database
Deleting records from database

Requirements
Basic knowledge of excel will give you and idea of databases.

Description
The MySQL is the world's most popular open source database.This course will teach you a lot to start using this incredibly popular MySQL database and gain useful skills in the process. In learning about MySQL you will also gain an understanding of relational databases in general. Furthermore, you will harness that power by learning SQL and using it to build databases, populate them with data and query that data through extensive hands-on practices.

MongoDB is a document-oriented DBMS, with JSON-like objects comprising the data model, rather than RDBMS tables. MongoDB does not support joins nor transactions. However, it features secondary indexes, an expressive query language,atomic writes on a per-document level, and fully-consistent reads. MongoDB uses JSON, a binary object format similar to, but more expressive than JSON.
.
MongoDB uses dynamic schema. We can create collections without defining the structure,i.e. the fields or the types of their values, of the documents. You can change the structure of documents simply by adding new fields or deleting existing ones. Documents in a collection need unique set of fields.

MongoDB database stores its data in collections not in tables The collections are the rough equivalent of RDBMS tables.
A collection holds one or more documents, which corresponds to a record or a row in a relational database table, and each document has one or more fields, which corresponds to a column in a relational database table.

SQLite is a software library that provides a relational database management system. The lite in SQLite means light weight in terms of setup, database administration, and required resource. SQLite does NOT require a server to run.

Because of the serverless architecture, you don't need to "install" SQLite before using it. There is no server process that needs to be configured, started, and stopped. SQLite uses dynamic types for tables. It means you can store any value in any column, regardless of the data type.

SQLite is self-contained means it requires minimal support from the operating system or external library. This makes SQLite usable in any environments especially in embedded devices like iPhones, Android phones, game consoles, handheld media players, etc.

SQLite is capable of creating in-memory databases which are very fast to work with.

SQLite database is integrated with the application that accesses the database. The applications interact with the SQLite database read and write directly from the database files stored on disk.

Who this course is for
Beginners to database administration and engineering

Database  EngineerDBA - (MySQL, MongoDB, SQLite) Ea249c78c2264969095b861b2009241e

DOWNLOAD:
Citación :

https://rapidgator.net/file/c6e57944ddbf65adaaa62d40e40b4a53/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part1.rar.html
https://rapidgator.net/file/448cbe8653b284f7d824af91c4de3e67/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part2.rar.html
https://rapidgator.net/file/65eece2f901d32e9df17dce84c6bb6e6/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part3.rar.html
https://rapidgator.net/file/53d438c173bc0c3baa45b6d38fe1dfbd/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part4.rar.html
https://rapidgator.net/file/2ef4dbf0a93f560b82fe77221b9900f7/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part5.rar.html


https://uploadgig.com/file/download/7fa140873d6D5Da0/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part1.rar
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https://uploadgig.com/file/download/c33e27fad1d616e6/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part4.rar
https://uploadgig.com/file/download/1C6BE26d41f6fb85/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part5.rar


https://nitroflare.com/view/120E7AC3AC7C9EE/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part1.rar
https://nitroflare.com/view/CD8AD51D4DC2D2B/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part2.rar
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https://nitroflare.com/view/68052538BB12CA2/qmcan.Database.EngineerDBA..MySQL.MongoDB.SQLite.part5.rar

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