Data Engineering On Google Cloud Platform in Seattle

Q: What is Data Engineering on Google Cloud Platform?

Data Engineering on Google Cloud Platform is the practice of designing, building, and managing scalable data processing systems using Google Cloud tools like BigQuery, Dataflow, Pub/Sub, and Cloud Storage for analytics and machine learning workflows.

Q: What is the role of a Data Engineer in the Google Cloud Platform?

In Google Cloud Platform (GCP), a data engineer's role involves designing, building, and managing robust data systems, ensuring data is accessible, secure, and efficiently processed for analysis and insights.

Q: What is the duration of Data Engineering on Google Cloud Platform Training?

This course takes 2 days to complete, during which delegates participate in intensive learning sessions that cover various course topics.

Q: Are there any prerequisites to attending the Data Engineering on Google Cloud Platform Course?

There are no formal prerequisites for this training course. However, prior experience with SQL, data modelling, ETL processes, Python, and familiarity with machine learning or statistics, along with completion of the Google Cloud Fundamentals course, would be beneficial.

Q: What is the significance of holding this Data Engineer Certification?

Holding this certification demonstrates proficiency in Google Cloud Platform's data engineering tools, validating your expertise to design, build, and manage scalable data systems, enhancing career opportunities and credibility.

Q: How can I access this course content?

You can access the course content through the 'MyTKA Training Portal', your central hub for all training resources. You will retain access to the course materials even after completing your training, allowing for continuous reference and learning.

Q: What are the benefits of this Data Engineering on Google Cloud Platform?

This course provides hands-on experience with GCP tools, enhances skills in managing data pipelines and analytics, and boosts career prospects in cloud data engineering roles.

Q: Which individuals or roles require this training course?

This certification training is ideal for Data Engineers, Cloud Architects, Data Analysts, Business Intelligence professionals, and anyone involved in building or managing data systems on the Google Cloud Platform.

Q: Do you offer 24/7 support for this Course?

Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.

Q: Will I receive the Data Engineer Certification upon completing this course?

Yes, after completing this course, you will receive a certificate of completion to validate your achievement and demonstrate your proficiency in the course material.

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Google Cloud Certification

Data Engineering with Google Cloud Platform

Seattle

Data Engineering with Google Cloud Platform in Seattle focuses on designing, building, and managing scalable data processing systems using Google Cloud technologies. This course enables learners to support analytics driven decision making using scalable Google Cloud data services.

Upskill with Data Engineering on Google Cloud Platform for automation and data governance<
Learn to build and manage scalable data pipelines using Google Cloud tools
Gain hands-on experience in BigQuery, Dataflow, and Cloud Storage

Dates & Prices

Data Engineering with Google Cloud Platform Overview

Course syllabus

Who it’s for

What’s included

FAQs

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

Customize Cluster with Initialization 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?

The Data Engineering with Google Cloud Platform Course in Seattle 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

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

Data Engineering with Google Cloud Platform Overview

Data Engineering with Google Cloud Platform in Seattle is pivotal in today's tech landscape. As organizations increasingly rely on data-driven insights, mastering this subject becomes crucial. This course delves into leveraging Google Cloud's robust infrastructure for managing, processing, and optimizing data, making it a cornerstone in cloud-based data engineering solutions.

Google Cloud's data engineering proficiency in Seattle is pivotal for Data Architects, Engineers, and Analysts. With data becoming the lifeblood of decision-making, mastering this subject empowers professionals to architect scalable, efficient, and secure data pipelines crucial for any data-centric enterprise.

This intensive 2-day training by The Knowledge Academy in Seattle is designed to equip delegates with practical skills in deploying Google Cloud's suite for data engineering. Delegates will learn to leverage tools like BigQuery, Dataflow, and Dataprep to architect and manage data pipelines efficiently, enabling them to tackle real-world data challenges confidently.

Data Engineering with Google Cloud Platform Overview Course Objectives

To comprehend the fundamentals of data engineering in the Google Cloud environment
To proficiently employ Google Cloud services for data storage, processing, and analysis
To design and implement robust data pipelines using Google Cloud tools
To optimize data engineering workflows for enhanced efficiency and scalability
To gain expertise in managing and transforming large datasets on the Google Cloud Platform
To understand best practices for data security and compliance on Google Cloud
To develop skills in troubleshooting and optimizing data solutions within Google Cloud
To apply learned concepts to real-world scenarios, fostering practical proficiency in data engineering with Google Cloud

After completing this course in Seattle, delegates will receive a certification, validating their expertise in data engineering on the Google Cloud Platform. Mastering Google Cloud Courses like this one solidifies one's foundation in data engineering, making them an asset in today's data-driven world.

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

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

Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.

Train Your Workforce

Looking for Data Engineering with Google Cloud Platform in-house or onsite training in Seattle? We specialise in corporate group training and bulk bookings for organisations of all sizes in Seattle. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

Our Seattle 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.

Seattle is a West Coast city in America. Seattle has around 667,000 residents and is the largest city in the state of Washington and in the Pacific Northwest region of North America. The metropolitan area of Seattle has around 3.6 million residents. Seattle had a notable music scene between the 20’s and 50’s producing early careers for Ray Charles and Quincy Jones. Seattle is home to the University of Washington which was established in 1861. The University of Washington is a public research university and features one of the most notable medical schools in the world. The University of Washington has around 45,000 students and offers 140 departments with studies in courses such as; Arts and Science, Dentistry, Education, Engineering, Law, Medicine, Nursing, Pharmacy and Public Health. The University has a large sports department, and offers scholarships and opportunities in sports such as; Football, Soccer, Basketball, Softball and Rowing which is a long standing traditional at the University. The University of Washington Educational Outreach is another institute located in Seattle. The University was established in 1912. The University offers various different programs, classes and workshops in studies such as communication, English, Humanities, Social Sciences, Health Informatics and Health Information Management. Seattle is also the home to a number of smaller universities including Seattle University is a catholic university in Seattle that was established in 1891. Seattle University has over 7,500 students and offers courses in Business & Economics, Arts & Sciences, Humanities, Teaching, Nursing, Engineering, Theology and Law. Seattle Pacific University is another University situated in Seattle. This University was established in 1913 and is a Christian University. The Seattle Pacific University has around 4,000 students in attendance. The University offers courses in Fine Arts, Humanities, Science, Engineering, Social & Behavioural Sciences, Business, Education, Health, Psychology and Theology. Some notable alumni attended Seattle Pacific University like David T. Wong who was the co-inventor of Prozac and Dan Price who is the CEO of Gravity Payments.

Ways to take Data Engineering with Google Cloud Platform in Seattle

Online Instructor-Led Learning

Online Self-Paced Learning

Onsite Learning

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.

Scalable Training Delivery

Access Data Engineering with Google Cloud Platform in Seattle delivered by one of the largest training providers, with scalable instructor-led classes, accessible worldwide.

Master Data Engineering with Google Cloud Platform with a flexible yet structured approach that combines live, expert-led sessions and self-paced study. With Weekly one-to-one tutor support and consistently high pass rates, you’ll receive tailored guidance and achieve real results.

Structured Yet Flexible Learning

Take part in scheduled, instructor-led sessions with real-time feedback, while enjoying the freedom to study independently. Interactive resources and progress tracking tools help you stay motivated and on target.

Engaging & Interactive Training

Join dynamic live sessions featuring discussions, practical activities, and peer collaboration. Learn from Data Engineering with Google Cloud Platform industry experts and reinforce your knowledge with self-paced modules—plus, connect with professionals in your field.

Expert-Led Course

Gain valuable insight from experienced trainers during live sessions, and revisit course materials anytime to deepen your understanding. This method offers the ideal balance between expert guidance and independent learning.

Global Training Accessibility

Access top-quality training across time zones—anytime, anywhere. Whether at home or on the go, our expert-led sessions and flexible study materials support your goals, and help you on the journey towards the certification.

Learn Data Engineering with Google Cloud Platform through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

Flexible Learning

Access Data Engineering with Google Cloud Platform resources 24/7 to maintain steady progress, complete regular assessments or tasks, and upskill effectively alongside work commitments.

Expert-Developed Content

Our Online Course content is designed by experienced trainers to ensure accuracy, relevance, and practical value.

Global Training Provider

Access Data Engineering with Google Cloud Platform in Seattle from a trusted global training provider delivering consistent learning to professionals worldwide.

Cost-Effective Training

Benefit from the cost-effective Data Engineering with Google Cloud Platform that delivers high-quality course content without compromising learning outcomes.

Interactive LMS

Track performance, download resources, and receive AI-enabled support through The Knowledge Academy’s dedicated Learning Management System.

Data Engineering with Google Cloud Platform Schedule in Seattle

Online Instructor-Led

Online Self-Paced

Classroom

Onsite

Package deals for Data Engineering with Google Cloud Platform

Our training experts have compiled a range of course packages on a variety of categories in Data Engineering with Google Cloud Platform, to boost your career. The packages consist of the best possible qualifications with Data Engineering with Google Cloud Platform, and allows you to purchase multiple courses at a discounted rate.

Data Engineering On Google Cloud Platform in Seattle FAQs

What is Data Engineering on Google Cloud Platform?

Data Engineering on Google Cloud Platform is the practice of designing, building, and managing scalable data processing systems using Google Cloud tools like BigQuery, Dataflow, Pub/Sub, and Cloud Storage for analytics and machine learning workflows.

What is the role of a Data Engineer in the Google Cloud Platform?

In Google Cloud Platform (GCP), a data engineer's role involves designing, building, and managing robust data systems, ensuring data is accessible, secure, and efficiently processed for analysis and insights.

What is the duration of Data Engineering on Google Cloud Platform Training?

This course takes 2 days to complete, during which delegates participate in intensive learning sessions that cover various course topics.

Are there any prerequisites to attending the Data Engineering on Google Cloud Platform Course?

There are no formal prerequisites for this training course. However, prior experience with SQL, data modelling, ETL processes, Python, and familiarity with machine learning or statistics, along with completion of the Google Cloud Fundamentals course, would be beneficial.

What is the significance of holding this Data Engineer Certification?

Holding this certification demonstrates proficiency in Google Cloud Platform's data engineering tools, validating your expertise to design, build, and manage scalable data systems, enhancing career opportunities and credibility.

How can I access this course content?

You can access the course content through the 'MyTKA Training Portal', your central hub for all training resources. You will retain access to the course materials even after completing your training, allowing for continuous reference and learning.

What are the benefits of this Data Engineering on Google Cloud Platform?

This course provides hands-on experience with GCP tools, enhances skills in managing data pipelines and analytics, and boosts career prospects in cloud data engineering roles.

Which individuals or roles require this training course?

This certification training is ideal for Data Engineers, Cloud Architects, Data Analysts, Business Intelligence professionals, and anyone involved in building or managing data systems on the Google Cloud Platform.

Do you offer 24/7 support for this Course?

Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.

Will I receive the Data Engineer Certification upon completing this course?

Yes, after completing this course, you will receive a certificate of completion to validate your achievement and demonstrate your proficiency in the course material.

Do you provide corporate training for this course?

Yes, we provide corporate training for this course, tailored to fit your organisation’s requirements.

What career opportunities are available after completing this training?

After completing this course, you can pursue various career opportunities related to cloud data management, analysis, and infrastructure. These include becoming a Cloud Data Engineer, Data Analyst, and Database Engineer.

Is Professional Data Engineer Certification worth it?

Yes, the Google Cloud Data Engineer Certification is highly valuable, validating your skills in data processing and cloud technologies, making you a competitive candidate in the rapidly growing field of data engineering.

How can this course enhance my career prospects?

This course can significantly enhance your career prospects by equipping you with in-demand skills in cloud data engineering, enabling you to pursue advanced roles and increase your marketability in a data-driven job market.

How does this course stay current with industry trends?

The course stays current with industry trends by incorporating the latest Google Cloud tools, best practices, and real-world scenarios, ensuring that delegates are trained in modern, relevant, and evolving technologies.

Will this training help me understand strategies for scaling a business?

Yes, this training provides deep insights into data infrastructure and pipeline optimisation, which are essential for building scalable systems, thus supporting effective strategies for business growth and expansion.

How will this training course enhance my ability to innovate within my organisation?

This training empowers you to drive innovation by teaching advanced data handling and analysis techniques, enabling you to design efficient, scalable data solutions that contribute to smarter decision-making within your organisation.

Why choose The Knowledge Academy in Seattle over others?

The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this certification.

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

The training fees for Data Engineering with Google Cloud Platform in Seattle starts from $3795

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

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

What are the best Google Cloud Certification courses in Seattle?

Please see our Google Cloud Certification courses available in Seattle

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Why choose The Knowledge Academy

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.

Our Clients

"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