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Data Engineering with Google Cloud Platform Overview
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
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Engineering with Google Cloud Platform. 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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
Global Reach
With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Data Engineering with Google Cloud Platform, 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.
What our customers are saying
Data Engineering with Google Cloud Platform FAQs
Please arrive at the venue at 8:45am.
There are no formal prerequisites for this course. It would be great if delegates have basic knowledge of managing data and its operations.
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.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 3 days.
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
The training fees for Data Engineering with Google Cloud Platformin Hong Kong starts from HKD17995
The Knowledge Academy is the Leading global training provider for Data Engineering with Google Cloud Platform.
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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Data Engineering With Google Cloud Platform in Hong Kong
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