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Professional Data Engineer: Professional Data Engineer on Google Cloud Platform Training Course
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Professional Data Engineer: Professional Data Engineer on Google Cloud Platform

PDFs and exam guides are not so efficient, right? Prepare for your Google examination with our training course. The Professional Data Engineer course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Google certification exam. Pass the Google Professional Data Engineer test with flying colors.
100 Students Enrolled 201 Lectures 03:47:10 Hours

Curriculum For This Course

1
You, This Course and Us
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1Lectures
Time 00:02:01
2
Introduction
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3Lectures
Time 00:23:26
3
Compute
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13Lectures
Time 01:32:14
4
Storage
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12Lectures
Time 01:32:13
5
Cloud SQL, Cloud Spanner ~ OLTP ~ RDBMS
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7Lectures
Time 00:54:46
6
BigTable ~ HBase = Columnar Store
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6Lectures
Time 00:54:18
7
Datastore ~ Document Database
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2Lectures
Time 00:20:52
8
BigQuery ~ Hive ~ OLAP
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11Lectures
Time 01:30:56
9
Dataflow ~ Apache Beam
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10Lectures
Time 01:35:33
10
Dataproc ~ Managed Hadoop
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7Lectures
Time 00:51:56
11
Pub/Sub for Streaming
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9Lectures
Time 01:03:22
12
Datalab ~ Jupyter
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4Lectures
Time 00:25:58
13
TensorFlow and Machine Learning
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27Lectures
Time 03:49:01
14
Regression in TensorFlow
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16Lectures
Time 02:25:49
15
Vision, Translate, NLP and Speech: Trained ML APIs
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4Lectures
Time 00:43:52
16
Virtual Machines and Images
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7Lectures
Time 00:46:24
17
VPCs and Interconnecting Networks
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19Lectures
Time 03:07:31
18
Managed Instance Groups and Load Balancing
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14Lectures
Time 01:56:23
19
Ops and Security
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12Lectures
Time 01:39:51
20
Appendix: Hadoop Ecosystem
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17Lectures
Time 02:10:44

About This Course

A good course can make a difference between failing and passing your exam. A professional course is also designed to make sure that you get the requisite skills and knowledge. That’s what this Google Professional Cloud Data Engineer training is all about. It will take you through a number of topics covering what data engineering on the Google Cloud Platform is. Once you complete this tutorial, you will have a better chance of passing your Google exam. Passing the test will lead you to the Google Professional Data Engineer certification.

Description

This course consisting of a series of video lectures, practice tests, transcripts, case studies, labs, and other study resources prepares you to pass your Google Professional Data Engineer exam. It takes you through a number of topics and concepts that include designing, building, maintaining, and troubleshooting data related processing systems. The emphasis of all this is being placed on the security, scalability, fault-tolerance, reliability, fidelity, as well as efficiency of these systems. You will learn how to design and manage systems used to collect, transform, and visualize data. In this training, you will also learn how to analyze data for the purpose of gaining insight into various business outcomes, the process of building statistical models supporting decision-making, and creating models of machine learning to automate and simplify core business processes.

The course topics are broken down into easy-to-understand modules. It is recommended that you organise your own labs for the purpose of practicing what you learn. This is the only way you can get the much needed hands-on experience. It goes beyond just theory or memorizing. The skills that you obtain here are supposed to help you carry out these tasks in a real-world scenario.

Prerequisites
  • Basic knowledge in relational databases and NoSQL
  • SQL basics
  • Knowledge of VMs would be an added advantage
Course objectives
  • Building and maintaining data structures and databases
  • Designing data-based processing systems
  • Analysing data and enabling machine learning
  • Modelling of business processes to be used in analysing and optimizing data
  • Designing for reliability
  • Visualizing data and advocating policy
  • Designing for security and compliance
Exam details
  • Type of questions: multiple choice
  • Duration: 2 hours
  • Languages: English, Spanish, Japanese, Portuguese
  • Certification validity: 2 years
Target audience
  • Candidates preparing for the Google Professional Data Engineer exam
  • Anyone who wants to learn more about virtual machines and other related technologies on the Google Cloud Platform
Conclusion

Looking at all these details, one can clearly see that the Google Cloud Platform is now the most popular platform. Taking this Google course will put you in an advantageous position in the job market. It takes you through content that helps you pass your exam and obtain your Google Professional Data Engineer certification. In the process of taking your training, you will gain knowledge and practical skills that will open great job opportunities for you.

Job titles:
  • Data scientist engineering
  • Data analyst
  • Application engineer, data hardware
  • Data analytics engineer
  • Google Cloud specialist
  • Data Center engineer

These jobs are known to give a salary of up to $226,000 in the USA.

Free Professional Data Engineer Exam Questions & Google Professional Data Engineer Dumps

Google.test4prep.professional data engineer.v2020-11-07.by.desire.45q.ete
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