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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hands-on-google-cloud-platformgcp-data-engineer/
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课程名称：Google云平台（GCP）实战 - 数据工程师 课程概述： 本课程由NoTEZ精心设计，旨在以最简单的方式教会学员Google云平台（GCP）的相关知识。之前参加我们GCP课程的学生请求更多此系列的课程，因此本课程现已上线。如果您还没有报名参加我们的其他课程，赶快报名，开始探索更多内容！本课程不仅仅是关于Google数据工程师认证的介绍，它还将为您提供关于GCP各个组成部分的深入实用知识。立即报名，开始您的探索之旅！ 课程模块： - 第一模块：介绍 包含Google认证的所有信息，数据工程师认证概览，云计算的定义及其重要性。 - 第二模块：GCP实操实验 - 第三模块：Hadoop 包括Hadoop的基本介绍、整体架构、详细信息以及HIVE、HBASE、PIG等相关技术。 - 第四模块：计算 介绍计算的基础知识，Google计算引擎（GCE）、抢占式虚拟机、Google应用引擎（GAE）、Google容器引擎、Kubernetes（GKE）及其比较和实验。 - 第五模块：存储 包含云存储简介、BigQuery、数据存储、云存储的深入使用、传输服务以及Cloud SQL和Cloud Spanner相关内容。 - 第六模块：Big Table Big Table介绍，包括列式存储、非规范化存储、CRUD操作等。 - 第七模块：Datalab - 第八模块：Pub/Sub - 第九模块：Dataflow - 第十模块：BigQuery 涉及BigQuery的数据模型和查询及查看。 - 第十一模块：机器学习与TensorFlow 介绍机器学习的基本概念、典型应用、深度学习与神经网络、TensorFlow的理解及其相关实验。 - 第十二模块：操作与安全 包括Stack driver、Stack driver日志、云部署管理器、云端点、云IAM、API密钥等及其相关实验。 该课程适用于希望深入学习GCP的学生，并为未来的职业发展打下坚实基础。立即报名，与我们一起深入探索Google云平台的世界！
This course is exclusively designed by NoTEZ to teach about GCP in most simplest way possible. Students who enrolled for our previous courses on GCP had requested more in the series and hence this course is live. If you havn't enrolled for our Other courses, enroll today n start exploring more. This course is designed to give idea about Google' s data engineer certification But Not limited to just that. This course will give you indepth practical knowledge on various components of GCP. Enroll today & explore moreCourse Overview Module 1- Introduction All about Google certification, Overview -Data Engineer Certification, What is and why to use CLOUD? Module 2 - Hands on GCP Labs Module 3 -Hadoop Introduction to,Hadoop, Hadoop-bigger picture, Hadoop- In detail, HIVE, HBASE,PIG Module 4- Compute Introduction to Computing, Google compute engine(GCE), Preemptible Virtual Machine, Google APP engine (G A E), Google container engine ,Kubernetes ( GKE),Comparison,Labs Module 5- Storage Introduction, Cloud Storage, BIGQUERY, Data Store, More on cloud storage, Working with cloud storage, Transfer service, Cloud SQL, Cloud SQL - PROXY, Cloud Spanner, Hot Spotting, Data Types, Transactions , Staleness, Labs Module 6-Big Table Big Table Introduction, Columnar store, Denormalized Storage, CRUD Operations, Column families, Choice of BigTable Module 7-Datalab Module 8-Pub/Sub Module 9- Dataflow Module 10-BigQuery BigQuery Data Model, Querying & Viewing,Labs Module 11-Machine Learning & Tensorflow Introduction to Machine Learning, Typical usage of Mechine Learning, Types, The Mechine Learning block diagram, Deep learning & Neural Networks, Labels, Understanding Tenser Flow, Computational Graphs, Tensors, Linear regression , Placeholders & variables, Image processing in Tensor Flow, Image as tensors, M-NIST - Introduction, K-nearest neighbors Algorithm, L1 distance, Steps in K- nearest neighbour implementation, Neural Networks in Real Time, Learning regression and learning XOR Linear Regression, Gradient descent, Logistic Regression, Logit, Activation function,Softmax, Cost function -Cross entropy,Labs Module 12-Operation & Security Stack driver, Stack driver Logging, Cloud Deployment Manager, Cloud Endpoints, Cloud IAM ,API keys, Cloud IAM- Extended, Labs,
