课程描述
GCP: The Complete Google Data Engineer and Cloud Architect Guide is the name of the software testing suite in the Google Cloud Platform directory. This set of video tutorials can be termed as a comprehensive guide to Google and Cloud Architect\\\’s information engineering. By watching this course you will learn about the great information technologies such as BigTable, Dataflow, Apache Beam and Pub / Sub and understand their benefits.
GCP：The Complete Google Data Engineer and Cloud Architect Guide 是 Google Cloud Platform 目录中软件测试套件的名称。这套视频教程堪称是Google和Cloud Architect信息工程的综合指南。通过观看本课程，您将了解 BigTable、Dataflow、Apache Beam 和 Pub/Sub 等伟大的信息技术，并了解它们的好处。
You will also learn how to build deep learning models on cloud databases using TensorFlow. On the other hand, when viewing this course, you can make informed decisions about Containers, VMs, and AppEngine. Also the course ahead for anyone looking to use Google Cloud Platform will be the right choice.
您还将学习如何使用 TensorFlow 在云数据库上构建深度学习模型。另一方面，在观看本课程时，您可以就容器、VM 和 AppEngine 做出明智的决定。此外，对于任何希望使用 Google Cloud Platform 的人来说，未来的课程将是正确的选择。
GCP course features: Complete Google Data Engineer and Cloud Architect Guide:
; GCP 课程特色：完整的 Google 数据工程师和云架构师指南：
Dear students, you will be thoroughly acquainted with the Google Cloud Platform by viewing and learning the tutorials available in this course and will learn about its advantages and disadvantages. Honorable students, you will also have 226 video tutorials to complete this course.
亲爱的学生们，通过查看和学习本课程中提供的教程，您将彻底熟悉 Google Cloud Platform，并了解其优缺点。尊敬的同学们，你们还将有226个视频教程来完成这门课程。
Course specification:; 课程规格：
- Publisher: Udemy
- 出版商：乌迪米
- Lecturer: Loony Corn
- 讲师：疯玉米
- Level: Basic to Advanced
- 级别：基础到高级
- Duration: 27:51:50
- 时长：27:51:50
- Number of lessons: 226 lessons
- 课时数：226课
- English language
- 英语
GCP Headlines: Complete Google Data Engineer and Cloud Architect Guide:; GCP 头条新闻：完整的 Google 数据工程师和云架构师指南：
Course content
226 lectures 27:51:50
课程内容 226讲 27:51:50
You, This Course and Us
2 lectures 02:11
你、这门课程和我们 2 讲座 02:11
Introduction
4 lectures 23:46
介绍 4 讲座 23:46
Compute
14 lectures 01:32:29
计算 14 节课 01:32:29
Storage
15 lectures 01:33:02
存储 15讲 01:33:02
Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS
9 lectures 55:21
Cloud SQL、Cloud Spanner ~ OLTP ~ RDBMS 9 讲 55:21
Hadoop Pre-reqs and Context
1 lecture 00:18
Hadoop 先决条件和上下文 1 讲座 00:18
BigTable ~ HBase = Columnar Store
9 lectures 55:10
BigTable ~ HBase = Columnar Store 9讲 55:10
Datastore ~ Document Database
3 lectures 21:06
Datastore~文档数据库3讲21:06
BigQuery ~ Hive ~ OLAP
12 lectures 01:31:10
BigQuery ~ Hive ~ OLAP 12 讲座 01:31:10
Dataflow ~ Apache Beam
11 lectures 01:35:36
数据流 ~ Apache Beam 11 个讲座 01:35:36
Dataproc ~ Managed Hadoop
8 lectures 51:59
Dataproc ~ 托管 Hadoop 8 个讲座 51:59
Pub / Sub for Streaming
10 lectures 01:03:25
用于流媒体的发布/订阅 10 个讲座 01:03:25
Datalab ~ Jupyter
5 lectures 26:01
Datalab ~ Jupyter 5 个讲座 26:01
TensorFlow and Machine Learning
28 lectures 03:49:04
TensorFlow 与机器学习 28 讲 03:49:04
Regression in TensorFlow
17 lectures 02:25:52
TensorFlow 中的回归 17 个讲座 02:25:52
Vision, Translate, NLP and Speech: Trained ML APIs
5 lectures 43:55
视觉、翻译、NLP 和语音：经过训练的 ML API 5 个讲座 43:55
Virtual Machines and Images
8 lectures 46:27
虚拟机和图像 8 个讲座 46:27
VPCs and Interconnecting Networks
20 lectures 03:07:34
VPC 和互连网络 20 个讲座 03:07:34
Managed Instance Groups and Load Balancing
15 lectures 01:56:26
托管实例组和负载均衡 15 个讲座 01:56:26
Ops and Security
13 lectures 01:39:54
操作与安全 13 个讲座 01:39:54
Appendix: Hadoop Ecosystem
17 lectures 02:10:44
附录：Hadoop生态系统17讲02:10:44
prerequisites:; 先决条件：
Basic understanding of technology – superficial exposure to Hadoop is enough
对技术的基本了解——对 Hadoop 有粗浅的了解就足够了
Pictures; 图片
Sample movie; 样片
Installation guide; 安装指南
View with your favorite Player after Extract.
Extract 后与您最喜欢的播放器一起观看。
This tutorial has English subtitles.
本教程有英文字幕。
