Description
GCP: The Complete Google Data Engineer and Cloud Architect Guide is the name of a software testing suite in the Google Cloud Platform directory. This set of video tutorials can be called a comprehensive guide to information engineering of Google and cloud architects. By watching this course, you will learn about great information technologies like BigTable, Dataflow, Apache Beam, and Pub/Sub and understand their benefits.
You will also learn how to build deep learning models on cloud databases using TensorFlow. On the other hand, when watching this course, you can make informed decisions about containers, VMs, and AppEngine. Also the further course would be the right choice for anyone looking to use the Google Cloud Platform.
Features of GCP Course: The Complete Google Data Engineer & Cloud Architect Guide:
Dear students, by watching and learning the tutorials available in this course you will become fully familiar with the Google Cloud Platform and learn about its advantages and disadvantages. Dear students, you will also have access to 226 video tutorials to complete this course.
Course Specification:
- Publisher: Udemy
- Lecturer: Looney Corn
- Level: Basic to advanced
- Duration: 27:51:50
- Number of lessons: 226 lessons
- English Language
GCP Headlines: The Complete Google Data Engineer and Cloud Architect Guide:
course content
226 Lecture 27:51:50
You, this course and we
2 Lecture 02:11
Introduction
4 Lecture 23:46
to compute
14 Lecture 01:32:29
storage
15 Lecture 01:33:02
Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS
Lecture 9 55:21
Hadoop pre-request and context
1 Lecture 00:18
BigTable ~ HBase = Columnar Store
Lecture 9 55:10
Datastore ~ Document Database
Lecture 3 21:06
BigQuery ~ Hive ~ OLAP
12 Lecture 01:31:10
Dataflow ~ Apache Beam
Lecture 11 01:35:36
Dataproc for Managed Hadoop
Lecture 8 51:59
Pub/Sub for Streaming
10 Lecture 01:03:25
DataLab ~ Jupiter
Lecture 5 26:01
TensorFlow and Machine Learning
28 Lecture 03:49:04
Regression in TensorFlow
17 Lecture 02:25:52
Vision, Translation, NLP and Speech: Trained ML APIs
Lecture 5 43:55
Virtual Machines and Images
Lecture 8 46:27
VPC and Interconnecting Networks
20 Lecture 03:07:34
Managed Instance Groups and Load Balancing
15 Lecture 01:56:26
Operation and safety
13 Lecture 01:39:54
Appendix: The Hadoop Ecosystem
17 Lecture 02:10:44
Prerequisites:
Basic understanding of technology – a superficial experience of Hadoop is enough
Pictures
Sample Film
installation Guide
After extract watch it with your favorite player.
This tutorial has English subtitles.
download link
File Password: free download software
size
2.52 GB