Data Engineering On Google Cloud Platform in Hong Kong

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Data Engineering with Google Cloud Platform

Hong Kong

Gain a comprehensive knowledge of how to create Hadoop clusters with Google Cloud Dataproc
Learn how to add machine learning capabilities to Big Data analysis
Develop your knowledge and skillset to build a real-time dashboard to visualise processed

Dates & Prices Dates & Prices

Course information

Data Engineering with Google Cloud Platform Training Course Outline

Module 1: Google Cloud Dataproc Overview

Dataproc Overview
Creating and Managing Clusters
Custom Machine Types and Preemptible Worker Nodes
Scaling and Deleting Clusters
Creating Hadoop Clusters with Google Cloud Dataproc

Module 2: Running Dataproc Jobs

Running Pig and Hive Jobs
Separation of Storage and Compute
Running Hadoop and Spark Jobs with Dataproc
Submit and Monitor Jobs

Module 3: Integrating Dataproc with Google Cloud Platform

Customise Cluster with Initialisation Activities
BigQuery Support
GCP Services

Module 4: Unstructured Data with Google’s Machine Learning APIs

Machine Learning APIs
Use Cases of ML
Adding Machine Learning Capabilities to Big Data

Module 5: Serverless Data Analysis with BigQuery

BigQuery Overview
Functions and Queries
Writing Queries in BigQuery

Module 6: Serverless, Autoscaling Data Pipelines with Dataflow

Beam Programming Model Overview
Data Pipelines
Writing a Dataflow Pipeline
Scalable Big Data Processing Using Beam
MapReduce in Dataflow
Phases in MapReduce in Dataflow
Steps of Dataflow
Incorporating Additional Data
Side Inputs in Apache Beam
Querying Multiple Tables

Module 7: Getting Started with Machine Learning

What is Machine Learning (ML)?
Types of Machine Learning
Explore and Create ML Datasets

Module 8: Building ML Models with TensorFlow

Understand TensorFlow
TensorFlow Graphs and Loops
Use Low-Level TensorFlow
Monitoring ML Training
Charts and Graphs of TensorFlow

Module 9: Scaling ML Models with CloudML

Cloud ML Overview
TensorFlow Model
Running of ML Model

Module 10: Architecture of Streaming Analytics Pipelines

Understand Stream Data Processing
Handling Variable Data Volumes
Designing a Streaming Pipeline

Module 11: Ingesting Variable Volumes

Cloud Pub/Sub Overview
Working of Cloud Pub/Sub

Module 12: Implementing Streaming Pipelines

Stream Processing Overview
Watermark
Triggers

Module 13: Streaming Analytics and Dashboards

Streaming Analytics Overview
Querying Streaming Data with BigQuery
Google Data Studio Overview

Module 14: High Throughput and Low-Latency with Bigtable

Cloud Spanner Overview
Designing Bigtable Schema
Ingesting into Bigtable
Streaming into Bigtable

Who should attend this Data Engineering with Google Cloud Platform Course?

The Data Engineering with Google Cloud Platform Training is valuable training for those who want to get better at data management and processing while using Google Cloud Platform Services (GCP). The Data Engineering with Google Cloud Platform Course can benefit professionals such as:

Cloud Engineers
Data Engineers
BI Developers
ETL Developers
Data Managers
Data Architects
Big Data Engineers

Prerequisites of the Data Engineering with Google Cloud Platform Course

There are no formal prerequisites for this Data Engineering with Google Cloud Platform Training.

Data Engineering with Google Cloud Platform Course Overview

Data Engineering with Google Cloud Platform is a course of utmost relevance in the realm of technology and data-driven decision-making. Google, known for its innovative approach to global technologies, offers a comprehensive platform for Data Engineering, enabling professionals to collect, transform, and publish data, thereby fostering a data-driven approach to decision-making.

Professionals in the field of Data Engineering, Data Processing, and those aspiring to leverage Google Cloud services should aim to master this subject. It equips them with the knowledge and skills to design, build, secure, and monitor data processing systems, emphasising security, compliance, scalability, efficiency, reliability, and portability. This knowledge is crucial for harnessing the potential of Google's Machine Learning models.

Our 3-day training course, provided by the Knowledge Academy, offers delegates a deep understanding of Google Cloud Platform services for Data Management. They will learn to design and build data processing systems, create autoscaling data pipelines for batch and streaming data, and integrate Dataproc with the Google Cloud Platform. The course also covers the technical aspects of handling unstructured data using Google's Machine Learning APIs and delves into serverless data concepts.

Course Objectives

To understand the core concepts of Data Engineering with Google Cloud Platform
To learn to design and build data processing systems on the Google Cloud Platform
To gain proficiency in creating autoscaling data pipelines for both batch and streaming data using Cloud Dataflow
To explore the integration of Dataproc with the Google Cloud Platform for efficient data processing
To acquire the technical knowledge needed to work with unstructured data using Google's Machine Learning APIs
To develop the skills to design comprehensive data processing systems, construct end-to-end data pipelines, and analyse data and Machine Learning models

Upon course completion, delegates will be well-equipped to design and implement data processing solutions on the Google Cloud Platform, enhancing their career prospects in Data Engineering and Cloud Technology. Additionally, they will have the skills and knowledge to work with unstructured data and leverage Machine Learning models, making them valuable assets for organisations seeking data-driven insights.

What’s included in this Data Engineering with Google Cloud Platform Course?

World-Class Training Sessions from Experienced Instructors
Data Engineering with Google Cloud Platform Certificate
Digital Delegate Pack

Why choose us

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Engineering On Google Cloud Platform in Hong Kong. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Data Engineering On Google Cloud Platform in Hong Kong, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

What our customers are saying

Data Engineering On Google Cloud Platform in Hong Kong FAQs

What time shall I arrive at the venue?

Please arrive at the venue at 8:45am.

What are the pre-requisites?

There are no formal prerequisites for this course. It would be great if delegates have basic knowledge of managing data and its operations.

Who should attend this course?

This course is designed for IT Professionals and Google Cloud platform learner. This course is also beneficial for who wants to be a certified engineer for this technology.

Do you offer support for the course?

We are able to provide support via phone & email prior to attending, during and after the course.

What is included in the course?

Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments

What is the duration of this course?

This course is 3 days.

How long until I receive the course confirmation details?

Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts

What is the cost/training fees for Data Engineering with Google Cloud Platform in Hong Kong?

The training fees for Data Engineering with Google Cloud Platformin Hong Kong starts from HKD17995

Which is the best training institute/provider of Data Engineering with Google Cloud Platform in Hong Kong?

The Knowledge Academy is the Leading global training provider for Data Engineering with Google Cloud Platform.

What are the best Google Cloud Certification courses in Hong Kong?

Please see our Google Cloud Certification courses available in Hong Kong

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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