Udemy – GCP: Complete Google Data Engineer and Cloud Architect Guide 2018-7

Description

GCP: Complete Google Data Engineer and Cloud Architect Guide, is the name of a video training suite in the field of software testing and in the Google Cloud platform branch. This video tutorial can serve as a complete and comprehensive guide to Google Information Engineering and Cloud Architect. By watching this training course, you will learn about great information technologies such as BigTable, Dataflow, Apache Beam and Pub / Sub, and you will understand their benefits.

Also, by watching this training course, you will learn how to build deep learning models on cloud databases using TensorFlow. On the other hand, when you watch this course, you can make informed decisions about Containers, VMs and AppEngine. Also, the course ahead of you will be the right and useful choice for anyone looking to use the Google Cloud Platform.

GCP Course Features: Complete Google Data Engineer and Cloud Architect Guide:

Dear students, by observing and learning the tutorials in this training course, you will be fully acquainted with the Google Cloud platform and you will know its advantages and disadvantages. Dear students, you will also see 226 video training sessions in front of you to complete this training course.

Course specifications

Publisher: Udemy

Instructor: Loony Corn

Level: Basic to Advanced

Duration: 27:51:50

Number of lessons: 226 lessons

English language

GCP topics: Complete Google Data Engineer and Cloud Architect Guide

Course content 226 lectures 27:51:50

You, This Course and Us 2 lectures 02:11

Introduction 4 lectures 23:46

Compute 14 lectures 01:32:29

Storage 15 lectures 01:33:02

Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS 9 lectures 55:21

Hadoop Pre-reqs and Context 1 lecture 00:18

BigTable ~ HBase = Columnar Store 9 lectures 55:10

Datastore ~ Document Database 3 lectures 21:06

BigQuery ~ Hive ~ OLAP 12 lectures 01:31:10

Dataflow ~ Apache Beam 11 lectures 01:35:36

Dataproc ~ Managed Hadoop 8 lectures 51:59

Pub/Sub for Streaming 10 lectures 01:03:25

Datalab ~ Jupyter 5 lectures 26:01

TensorFlow and Machine Learning 28 lectures 03:49:04

Regression in TensorFlow 17 lectures 02:25:52

Vision, Translate, NLP and Speech: Trained ML APIs 5 lectures 43:55

Virtual Machines and Images 8 lectures 46:27

VPCs and Interconnecting Networks 20 lectures 03:07:34

Managed Instance Groups and Load Balancing 15 lectures 01:56:26

Ops and Security 13 lectures 01:39:54

Appendix: Hadoop Ecosystem 17 lectures 02:10:44

Prerequisites

Basic understanding of technology – superficial exposure to Hadoop is enough

Installation

After Extract, watch with your favorite Player.

This tutorial has English subtitles.