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The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop Training Course
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The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop Certification Video Training Course

The complete solution to prepare for for your exam with The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop certification video training course. The The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop certification video training course contains a complete set of videos that will provide you with thorough knowledge to understand the key concepts. Top notch prep including Software Testing Courses The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop exam dumps, study guide & practice test questions and answers.

140 Students Enrolled
164 Lectures
22:39:37 Hours

The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop Certification Video Training Course Exam Curriculum

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1

Introduction

7 Lectures
Time 01:05:34
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2

Compute Choices

13 Lectures
Time 01:32:14
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3

Storage

9 Lectures
Time 01:06:16
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4

Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS

7 Lectures
Time 00:54:46
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5

BigTable ~ HBase = Columnar Store

6 Lectures
Time 00:54:18
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6

Datastore ~ Document Database

2 Lectures
Time 00:20:52
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7

BigQuery ~ Hive ~ OLAP

11 Lectures
Time 01:30:56
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8

Dataflow ~ Apache Beam

10 Lectures
Time 01:35:33
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9

Dataproc ~ Managed Hadoop

7 Lectures
Time 00:51:56
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10

Pub/Sub for Streaming

9 Lectures
Time 01:03:22
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11

Datalab ~ Jupyter

4 Lectures
Time 00:32:26
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12

TensorFlow and Machine Learning

27 Lectures
Time 03:49:01
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13

Regression in TensorFlow

16 Lectures
Time 02:25:49
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14

Vision, Translate, NLP and Speech: Trained ML APIs

4 Lectures
Time 00:43:52
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15

Networking

7 Lectures
Time 00:55:31
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16

Ops and Security

8 Lectures
Time 01:06:27
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17

Appendix: Hadoop Ecosystem

17 Lectures
Time 02:10:44

Introduction

  • 10:26
  • 09:43
  • 09:01
  • 10:05
  • 13:20
  • 07:00
  • 06:01

Compute Choices

  • 09:16
  • 07:38
  • 08:12
  • 05:59
  • 04:45
  • 04:43
  • 04:00
  • 10:33
  • 09:54
  • 06:55
  • 06:48
  • 06:03
  • 07:29

Storage

  • 09:48
  • 13:41
  • 10:37
  • 05:25
  • 03:52
  • 05:06
  • 07:09
  • 05:07
  • 05:33

Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS

  • 07:40
  • 07:55
  • 06:31
  • 09:09
  • 07:25
  • 09:18
  • 06:50

BigTable ~ HBase = Columnar Store

  • 07:57
  • 08:12
  • 09:02
  • 08:10
  • 13:19
  • 07:39

Datastore ~ Document Database

  • 14:10
  • 06:42

BigQuery ~ Hive ~ OLAP

  • 11:03
  • 10:00
  • 09:04
  • 05:26
  • 07:28
  • 08:16
  • 07:45
  • 09:51
  • 05:44
  • 05:36
  • 10:45

Dataflow ~ Apache Beam

  • 11:04
  • 03:42
  • 12:56
  • 13:42
  • 11:18
  • 04:37
  • 09:50
  • 06:08
  • 15:50
  • 06:28

Dataproc ~ Managed Hadoop

  • 08:28
  • 08:11
  • 08:25
  • 07:39
  • 08:44
  • 02:10
  • 08:19

Pub/Sub for Streaming

  • 08:23
  • 05:35
  • 04:40
  • 05:52
  • 04:08
  • 08:18
  • 10:14
  • 05:54
  • 10:20

Datalab ~ Jupyter

  • 03:00
  • 10:30
  • 12:14
  • 06:43

TensorFlow and Machine Learning

  • 08:04
  • 10:27
  • 07:35
  • 07:16
  • 08:46
  • 10:17
  • 09:02
  • 05:03
  • 09:57
  • 08:44
  • 06:37
  • 07:49
  • 04:52
  • 08:06
  • 08:16
  • 08:06
  • 06:37
  • 04:13
  • 07:43
  • 07:31
  • 09:32
  • 14:14
  • 10:59
  • 09:52
  • 07:51
  • 10:27
  • 11:11

Regression in TensorFlow

  • 02:49
  • 08:05
  • 11:19
  • 09:57
  • 14:42
  • 09:16
  • 10:16
  • 05:25
  • 07:33
  • 08:33
  • 11:55
  • 12:13
  • 16:56
  • 04:10
  • 07:49
  • 04:54

Vision, Translate, NLP and Speech: Trained ML APIs

  • 14:38
  • 11:22
  • 10:54
  • 07:00

Networking

  • 07:04
  • 09:26
  • 07:39
  • 08:49
  • 06:46
  • 09:49
  • 06:02

Ops and Security

  • 12:08
  • 07:39
  • 06:06
  • 03:48
  • 07:44
  • 08:31
  • 08:31
  • 12:02

Appendix: Hadoop Ecosystem

  • 01:35
  • 09:43
  • 10:55
  • 10:34
  • 05:29
  • 07:19
  • 07:10
  • 07:36
  • 07:34
  • 08:22
  • 08:04
  • 06:38
  • 08:55
  • 11:45
  • 07:44
  • 05:41
  • 05:46
examvideo-11

About The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop Certification Video Training Course

The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop certification video training course by prepaway along with practice test questions and answers, study guide and exam dumps provides the ultimate training package to help you pass.

Are you looking for the course to learn the Google Cloud Platform? Look no further because this video training guide is exhaustive. First of all, it will prepare you for the Google exams in data engineering and Cloud architecture. The tutorial covers storage and compute, including AppEngine, Compute Engine, and Container Engine. It explains Big Data and Managed Hadoop, DevOps, security, TensorFlow on Cloud, Dadoop foundations. Besides, it teaches networking aspects, such as shared VPCs, Virtual Private Clouds, transport and HTTP layer.

The course is completed with 164 lectures. It contains 17 sections, which are the main topics. After the introduction, the training teaches compute choices. Then, you will go to storage, Cloud SQL, Big Table, and data store. The training gives a detailed information regarding such topics as BigQuery, Dataflow, Dataproc, Pub/Sub for Streaming, Data lab, and etc. During 27 lectures, you will learn TensorFlow and Machine Learning. Security and networking are also covered.

What will you able to do? You will be focused on using TensorFlow to build deep learning models on cloud. You will be trained for deploying Managed Hadoop apps on the Google Cloud. The tasks related to VMs and AppEngine, containers, big data technologies will not be impracticable for you any longer.

The course involves many labs, and you will see how everything works in a real environment. Thus, the content is well-balanced. You will obtain many skills, which is so valuable in a modern world. Take the training now!

Prepaway's The Google Cloud for ML with TensorFlow Big Data with Managed Hadoop: The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop video training course for passing certification exams is the only solution which you need.

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