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Hands-on Google Cloud Platform(GCP) - Data Engineer

Video Description

Data Engineer Certification

About This Video

  • This course will give you in-depth practical knowledge of various components of GCP.

In Detail

Students who have enrolled for our previous courses on GCP had requested more in the series and hence this course is live. If you haven't enrolled for our other courses, enroll today and start exploring more. This course is designed to give information about Google' s Data Engineer certification but is not limited to just that. This course will give you in depth practical knowledge on various components of GCP. Enroll today and explore more

Table of Contents

  1. Chapter 1 : Introduction
    1. Introduction 00:01:09
    2. Details on Google certification 00:01:01
    3. Overview of Data engineer certification 00:02:06
    4. Why cloud? 00:01:34
  2. Chapter 2 : Dive into practicals
    1. Lab 1: Creating a Google cloud account 00:07:26
    2. Working with cloud Shell 00:07:54
  3. Chapter 3 : The Mighty 'HADOOP'
    1. Hello Hadoop 00:02:38
    2. Hadoop-2 00:01:08
    3. Hadoop -3 00:02:20
    4. Hadoop ecosystem and GCP equivalent 00:05:28
  4. Chapter 4 : Cloud compute engine
    1. Introduction 00:03:31
    2. preemtible VMs 00:02:32
    3. Google App Engine (GAE) 00:02:02
    4. Lab 1: Creating VM instance 00:09:19
    5. Lab 2: Dealing with VM 00:05:06
    6. Lab 3: VM Instance via Command Line 00:07:39
  5. Chapter 5 : Let's Explore Storage
    1. Get introduced to cloud storage 00:07:52
    2. A bit more about storage 00:05:14
    3. All about datastore 00:04:41
    4. Cloud SQL 00:03:37
    5. Cloud Spanner 00:05:48
    6. Lab: Cloud Spanner 00:10:56
    7. Lab: Storage buckets 00:01:40
    8. Lab: Cloud SQL 00:03:14
  6. Chapter 6 : Big Table- columnar store
    1. Big Table introduction 00:06:08
    2. CRUD operations & choice of Big Table 00:06:12
  7. Chapter 7 : Cloud Datalab
    1. Datalab 00:01:58
  8. Chapter 8 : PUB/SUB
    1. Streaming Data -PUB/SUB 00:02:10
  9. Chapter 9 : Dataflow
    1. Dataflow 00:03:50
  10. Chapter 10 : BigQuery
    1. More GCP – BigQuery 00:04:52
    2. Lab: BigQuery - Loading CSV data 00:11:42
    3. Lab: Querying Table 00:04:32
  11. Chapter 11 : Machine Learning & Tensorflow
    1. Hello Machine learning 00:06:05
    2. The ML block diagram, Deep learning & neural networks 00:03:16
    3. Lab: simple Math in Tensorflow 00:09:48
    4. Understanding Tensorflow 00:04:08
    5. Tensors 00:01:42
    6. Lab: Tensors 00:04:55
    7. Linear regression basics 00:03:22
    8. Lab: Simple regression example 00:06:16
    9. Placeholders & variables 00:03:20
    10. Lab: simple math with placeholders 00:06:08
    11. Lab: Dealing with variables 00:07:57
    12. Image processing in TensorFlow 00:04:19
    13. Lab: work with images 00:09:51
    14. Image as Tensors 00:04:16
    15. Lab: work with images- part 2 00:05:16
    16. MNIST & KNN 00:05:18
    17. L1 Distance 00:04:36
    18. Neural Network in Real Time, Learning regression and XOR 00:05:54
    19. Gradient descent 00:03:45
    20. A bit on logistic regression 00:04:40
  12. Chapter 12 : Add on: operations & security
    1. Stack Driver 00:07:30
    2. Cloud IAM 00:07:05