
Corporate Data Engineering on Google Cloud Platform Training Course
Edstellar's Data Engineering on Google Cloud Platform instructor-led training course enables professionals to efficiently leverage GCP's tools, optimize data processes, ensure data quality, and gain a competitive edge in the data-driven business landscape. Empower your team to leverage the power of data engineering for excellence.

(Virtual / On-site / Off-site)
Available Languages
English, Español, 普通话, Deutsch, العربية, Português, हिंदी, Français, 日本語 and Italiano
Drive Team Excellence with Data Engineering on Google Cloud Platform Corporate Training
Empower your teams with expert-led on-site/in-house or virtual/online Data Engineering on Google Cloud Platform Training through Edstellar, a premier Data Engineering on Google Cloud Platform training company for organizations globally. Our customized training program equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific training needs, this Data Engineering on Google Cloud Platform group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.
Data Engineering on Google Cloud Platform Training equips individuals with skills to efficiently collect, store, process, and analyze data using GCP services, covering ingestion, storage, processing, pipeline design, optimization, governance, security, and monitoring. This training enables organizations to leverage Google Cloud services for enhancing decision-making processes, optimizing data workflows, and unlocking the full potential of their data assets to drive organizational growth and innovation.
Edstellar's Data Engineering on the Google Cloud Platform instructor-led training course can be customized to meet an organization's requirements. The virtual/onsite Data Engineering on the Google Cloud Platform training course, led by expert trainers, offers interactive sessions that combine hands-on learning experiences with theoretical knowledge ensuring professionals gain insights to tackle any objectives that arise.
Key Skills Employees Gain from Data Engineering on Google Cloud Platform Training
Data Engineering on Google Cloud Platform skills corporate training will enable teams to effectively apply their learnings at work.
- Data Pipeline DesignData Pipeline Design is the process of creating systems for efficiently moving and transforming data. This skill is important for data engineers and analysts to ensure accurate, timely insights.
- Data Lake ArchitectureData Lake Architecture involves designing and managing scalable storage systems for vast amounts of structured and unstructured data. This skill is important for data engineers and architects, as it enables efficient data processing, analytics, and decision-making in organizations.
- Data WarehousingData Warehousing is the process of collecting, storing, and managing large volumes of data for analysis. This skill is important for data analysts and business intelligence roles, as it enables informed decision-making through efficient data retrieval and reporting.
- Batch Data PipelinesBatch Data Pipelines involve the automated processing of large data sets at scheduled intervals. This skill is important for data engineers and analysts to ensure efficient data management, timely insights, and informed decision-making.
- Apache SparkApache Spark is an open-source distributed computing system for big data processing. This skill is important for data engineers and data scientists to efficiently analyze large datasets, enabling faster insights and decision-making.
- Serverless Data ProcessingServerless Data Processing is the ability to manage and analyze data without server management. this skill is important for data engineers and analysts to enhance scalability, reduce costs, and streamline workflows.
Key Learning Outcomes of Data Engineering on Google Cloud Platform Training Workshop for Employees
Edstellar’s Data Engineering on Google Cloud Platform training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Data Engineering on Google Cloud Platform workshop, teams will to master essential Data Engineering on Google Cloud Platform and also focus on introducing key concepts and principles related to Data Engineering on Google Cloud Platform at work.
Employees who complete Data Engineering on Google Cloud Platform training will be able to:
- Apply data engineering concepts to design robust data pipelines on Google Cloud Platform
- Implement data lake architectures to efficiently store and manage large volumes of structured and unstructured data
- Construct data warehouses for optimized storage and retrieval of business-critical information
- Develop batch data pipelines using industry-standard tools and techniques
- Execute Apache Spark jobs on Cloud Dataproc for scalable data processing
- Implement serverless data processing solutions with Cloud Dataflow to handle real-time data streams
- Manage data pipelines effectively using Cloud Data Fusion and Cloud Composer orchestration tools
- Utilize advanced analytics and AI services to extract actionable insights from large datasets
Key Benefits of the Data Engineering on Google Cloud Platform Group Training
Attending our Data Engineering on Google Cloud Platform classes tailored for corporations offers numerous advantages. Through our Data Engineering on Google Cloud Platform group training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Data Engineering on Google Cloud Platform.
- Enables professionals to build custom machine learning models with SQL in BigQuery ML
- Facilitates the creation of production ML pipelines using Kubeflow for seamless deployment
- Develops required skills in professionals to execute batch and streaming data processing tasks
- Equips the team with advanced data engineering techniques for building scalable data pipelines
- Empowers professionals with the skills to design and implement data lakes and warehouses on GCP
- Enhances the team's ability to process and analyze large-scale data with Cloud AI Platform Notebooks
- Provides teams with the insights into leveraging serverless data processing solutions for efficient resource utilization
- Instills ideas in professionals for effectively managing data pipelines using GCP services like Data Fusion and Composer
Topics and Outline of Data Engineering on Google Cloud Platform Training
Our virtual and on-premise Data Engineering on Google Cloud Platform training curriculum is divided into multiple modules designed by industry experts. This Data Engineering on Google Cloud Platform training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.
- Overview of data engineering
- Introduction to data engineering concepts
- Role of data engineers in organizations
- Data engineering lifecycle
- Understanding the data lifecycle stages
- Importance of data quality and governance
- Introduction to Data Lakes
- Definition and architecture of data lakes
- Benefits and use cases of data lakes
- Implementing Data Lakes
- Designing data lake architecture
- Ingesting and storing data in data lakes
- Data warehouse concepts
- Understanding data warehousing principles
- Data modeling for data warehousing
- Implementing data warehouses
- Designing data warehouse architecture
- Loading and transforming data in data warehouses
- Batch processing overview
- Understanding batch processing concepts
- Batch processing vs. real-time processing
- Building batch data pipelines
- Designing batch data pipeline architecture
- Implementing batch processing workflows
- Introduction to Apache Spark
- Overview of Apache Spark framework
- Benefits of using Apache Spark for data processing
- Spark on Cloud Dataproc
- Setting up and configuring Spark on Google Cloud Dataproc
- Running Spark jobs on Cloud Dataproc clusters
- Introduction to Cloud Dataflow
- Overview of serverless data processing
- Features and capabilities of Cloud Dataflow
- Building Data Pipelines with Cloud Dataflow
- Writing and deploying Dataflow pipelines
- Monitoring and optimizing Dataflow jobs
- Introduction to Cloud Data Fusion
- Overview of Cloud Data Fusion service
- Benefits of using Cloud Data Fusion for data integration
- Managing Data Pipelines with Cloud Composer
- Orchestration and scheduling of data pipelines with Cloud Composer
- Integration with other Google Cloud services
- Streaming data concepts
- Understanding streaming data and event-driven architectures
- Use cases for streaming data processing
- Implementing streaming data pipelines
- Designing and building streaming data pipelines
- Real-time data processing with Google Cloud services
- Introduction to Cloud Pub/Sub
- Overview of messaging systems and Cloud Pub/Sub
- Features and capabilities of Cloud Pub/Sub
- Implementing Serverless messaging
- Creating and managing Pub/Sub topics and subscriptions
- Integrating Pub/Sub with other Google Cloud services
- Advanced features of Cloud Dataflow
- Windowing and watermarking in streaming data processing
- Handling late data and out-of-order events
- Building streaming Data Pipelines with Dataflow
- Implementing complex streaming data processing logic
- Optimizing performance and cost of Dataflow pipelines
- Introduction to BigQuery and Bigtable
- Overview of Google Cloud BigQuery and Bigtable services
- Use cases for high-throughput streaming data processing
- Processing streaming data with BigQuery and Bigtable
- Configuring and optimizing streaming data ingestion in BigQuery
- Leveraging Bigtable for real-time data storage and retrieval
- Advanced BigQuery features
- Working with nested and repeated data structures
- Partitioning and clustering tables for improved performance
- Optimizing BigQuery performance
- Query optimization techniques for faster query execution
- Monitoring and troubleshooting BigQuery performance issues
- Overview of Analytics and AI
- Introduction to analytics and AI capabilities on Google Cloud
- Use cases for analytics and AI in data engineering workflows
- Integrating analytics and AI services
- Using AI APIs for text and image analysis
- Building custom ML models with Google Cloud AI Platform
- ML model APIs overview
- Overview of prebuilt ML model APIs available on Google Cloud
- Benefits of using prebuilt ML models for unstructured data
- Implementing ML Model APIs
- Integrating ML model APIs into data engineering pipelines
- Processing unstructured data with ML model APIs
- Introduction to AI platform notebooks
- Overview of AI platform notebooks for collaborative data analysis
- Features and capabilities of AI platform notebooks
- Performing Big Data analytics
- Analyzing large datasets with AI platform notebooks
- Visualizing and interpreting analytics results
- Introduction to Kubeflow
- Overview of Kubeflow for building and deploying ML pipelines
- Use cases for Kubeflow in production ML workflows
- Building ML Pipelines with Kubeflow
- Designing end-to-end ML pipelines with Kubeflow components
- Deploying and managing ML models in production environments
- Introduction to BigQuery ML
- Overview of BigQuery ML for building ML models using SQL
- Benefits of using BigQuery ML for model development
- Building custom ML models
- Writing SQL queries to create and train ML models in BigQuery
- Evaluating and deploying custom ML models for predictive analytics
Who Can Take the Data Engineering on Google Cloud Platform Training Course
The Data Engineering on Google Cloud Platform training program can also be taken by professionals at various levels in the organization.
- Data Engineers
- Cloud Engineers
- Data Analysts
- Software Developers
- System Architects
- Technical Support Engineers
- IT Administrators
- Database Administrators
- DevOps Engineers
- Site Reliability Engineers
- Application Developers
- Managers
Prerequisites for Data Engineering on Google Cloud Platform Training
Professionals with a basic understanding of data engineering concepts and principles can take up the Data Engineering on Google Cloud Platform training course.
Corporate Group Training Delivery Modes
for Data Engineering on Google Cloud Platform Training
At Edstellar, we understand the importance of impactful and engaging training for employees. As a leading Data Engineering on Google Cloud Platform training provider, we ensure the training is more interactive by offering Face-to-Face onsite/in-house or virtual/online sessions for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.
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Edstellar's Data Engineering on Google Cloud Platform virtual/online training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.
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Edstellar's Data Engineering on Google Cloud Platform inhouse training delivers immersive and insightful learning experiences right in the comfort of your office.
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Edstellar's Data Engineering on Google Cloud Platform offsite group training offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.
Explore Our Customized Pricing Package
for
Data Engineering on Google Cloud Platform Corporate Training
Need the cost or quote for onsite, in-house, or virtual instructor-led corporate Data Engineering on Google Cloud Platform training? Get a customized proposal that fits your team's specific needs.
64 hours of training (includes VILT/In-person On-site)
Tailored for SMBs
Tailor-Made Licenses with Our Exclusive Training Packages!
160 hours of training (includes VILT/In-person On-site)
Ideal for growing SMBs
400 hours of training (includes VILT/In-person On-site)
Designed for large corporations
Unlimited duration
Designed for large corporations
Edstellar: Your Go-to Data Engineering on Google Cloud Platform Training Company
Experienced Trainers
Our trainers bring years of industry expertise to ensure the training is practical and impactful.
Quality Training
With a strong track record of delivering training worldwide, Edstellar maintains its reputation for its quality and training engagement.
Industry-Relevant Curriculum
Our course is designed by experts and is tailored to meet the demands of the current industry.
Customizable Training
Our course can be customized to meet the unique needs and goals of your organization.
Comprehensive Support
We provide pre and post training support to your organization to ensure a complete learning experience.
Multilingual Training Capabilities
We offer training in multiple languages to cater to diverse and global teams.
What Our Clients Say
We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.
"Edstellar's IT Service Management training has been transformative. Our IT teams have seen significant improvements through multiple courses delivered at our office by expert trainers. Excellent feedback has prompted us to extend the training to other teams."
"Edstellar's quality and process improvement training courses have been fantastic for our team of quality engineers, process engineers and production managers. It’s helped us improve quality and streamline manufacturing processes. Looking ahead, we’re excited about taking advanced courses in quality management, and project management, to keep improving in the upcoming months."
"Partnering with Edstellar for web development training was crucial for our project requirements. The training has equipped our developers with the necessary skills to excel in these technologies. We're excited about the improved productivity and quality in our projects and plan to continue with advanced courses."
"Partnering with Edstellar for onsite ITSM training courses was transformative. The training was taken by around 80 IT service managers, project managers, and operations managers, over 6 months. This has significantly improved our service delivery and standardized our processes. We’ve planned the future training sessions with the company."
"Partnering with Edstellar for onsite training has made a major impact on our team. Our team, including quality assurance, customer support, and finance professionals have greatly benefited. We've completed three training sessions, and Edstellar has proven to be a reliable training partner. We're excited for future sessions."
"Edstellar's online training on quality management was excellent for our quality engineers and plant managers. The scheduling and coordination of training sessions was smooth. The skills gained have been successfully implemented at our plant, enhancing our operations. We're looking forward to future training sessions."
"Edstellar's online AI and Robotics training was fantastic for our 15 engineers and technical specialists. The expert trainers and flexible scheduling across different time zones were perfect for our global team. We're thrilled with the results and look forward to future sessions."
"Edstellar's onsite process improvement training was fantastic for our team of 20 members, including managers from manufacturing, and supply chain management. The innovative approach, and comprehensive case studies with real-life examples were highly appreciated. We're excited about the skills gained and look forward to future training."
"Edstellar's professional development training courses were fantastic for our 50+ team members, including developers, project managers, and consultants. The multiple online sessions delivered over several months were well-coordinated, and the trainer's methodologies were highly effective. We're excited to continue our annual training with Edstellar."
"Edstellar's IT service management training for our 30 team members, including IT managers, support staff, and network engineers, was outstanding. The onsite sessions conducted over three months were well-organized, and it helped our team take the exams. We are happy about the training and look forward to future collaborations."
"Edstellar's office productivity training for our 40+ executives, including project managers and business analysts, was exceptional. The onsite sessions were well-organized, teaching effective tool use with practical approaches and relevant case studies. Everyone was delighted with the training, and we're eager for more future sessions."
"Edstellar's quality management training over 8 months for our 15+ engineers and quality control specialists was outstanding. The courses addressed our need for improved diagnostic solutions, and the online sessions were well-organized and effectively managed. We're thrilled with the results and look forward to more."
"Edstellar's digital marketing training for our small team of 10, including content writers, SEO analysts, and digital marketers, was exactly what we needed. The courses delivered over a few months addressed our SEO needs, and the online sessions were well-managed. We're very happy with the results and look forward to more."
"Edstellar's telecommunications training was perfect for our small team of 12 network engineers and system architects. The multiple online courses delivered over a few months addressed our needs for network optimization and cloud deployment. The training was well-managed, and the case studies were very insightful. We're thrilled with the outcome."
"Edstellar's professional development training was fantastic for our 50+ participants, including team leaders, analysts, and support staff. Over several months, multiple courses were well-managed and delivered as per the plan. The trainers effectively explained topics with insightful case studies and exercises. We're happy with the training and look forward to more."
Get Your Team Members Recognized with Edstellar’s Course Certificate
Upon successful completion of the Data Engineering on Google Cloud Platform training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.
This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.


We have Expert Trainers to Meet Your Data Engineering on Google Cloud Platform Training Needs
The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.