Description
GCP: Complete Google Data Engineer and Cloud Architect Guide is the name of the video training collection in the field of software testing and in the Google Cloud platform branch. This video training series can be called as a complete and comprehensive guide regarding Google information engineering and Cloud Architect. By watching this training course, you will be aware of big 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 training course, you can make informed decisions about Containers, VMs and AppEngine. Also, the course in front of you will be a correct and useful choice for anyone looking to use Google Cloud Platform.
Features of the GCP course: Complete Google Data Engineer and Cloud Architect Guide:
You, dear students, by watching and learning the tutorials in this training course, you will get to know the Google Cloud platform completely and you will get to know its advantages and disadvantages. Also, dear students, to finish this training course, you will see 226 video training sessions in front of you.
Details of the training course:
- Publisher: Udemy
- Instructor: Loony Corn
- Level: Introductory to Advanced
- Duration: 27:51:50
- Number of lessons: 226 lessons
- English language
Headlines of GCP: 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
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
This tutorial has English subtitles.
download link
Password file(s): www.downloadly.ir
Size
2.52 GB
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