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GCP DATA ENGINEER
Featured Review
4.6 (2085 Ratings)
A GCP (Google Cloud Platform) Data Engineer is a professional responsible for designing, implementing, and managing data solutions on Google Cloud. Their primary role is to ensure that data is collected, processed, and made available for analysis, reporting, and machine learning. Google Cloud Platform to enable organizations to harness the power of their data for insights, reporting, and machine learning
Overview
The Syllabus
Curriculum Designed by Experts
Module 1: Google Cloud Dataproc Overview
- Creating and managing clusters.
- Leveraging custom machine types and preemptible worker nodes.
- Scaling and deleting Clusters.
- Lab: Creating Hadoop Clusters with Google Cloud Dataproc.
Module 2: Running Dataproc Jobs
- Running Pig and Hive jobs.
- Separation of storage and compute.
- Lab: Running Hadoop and Spark Jobs with Dataproc.
- Lab: Submit and monitor jobs.
Module 3: Integrating Dataproc with Google Cloud Platform
- Customize cluster with initialization actions.
- BigQuery Support.
- Lab: Leveraging Google Cloud Platform Services.
Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs
- Google’s Machine Learning APIs.
- Common ML Use Cases.
- Invoking ML APIs.
- Lab: Adding Machine Learning Capabilities to Big Data Analysis.
Module 5: Serverless data analysis with BigQuery
- What is BigQuery.
- Queries and Functions.
- Lab: Writing queries in BigQuery.
- Loading data into BigQuery.
- Exporting data from BigQuery.
- Lab: Loading and exporting data.
- Nested and repeated fields.
- Querying multiple tables.
- Lab: Complex queries.
- Performance and pricing.
Module 6: Serverless, autoscaling data pipelines with Dataflow
- The Beam programming model.
- Data pipelines in Beam Python.
- Data pipelines in Beam Java.
- Lab: Writing a Dataflow pipeline.
- Scalable Big Data processing using Beam.
- Lab: MapReduce in Dataflow.
- Incorporating additional data.
- Lab: Side inputs.
- Handling stream data.
- GCP Reference architecture.
Module 7: Getting started with Machine Learning
- What is machine learning (ML)
- Effective ML: concepts, types.
- ML datasets: generalization.
- Lab: Explore and create ML datasets.
Module 8: Building ML models with Tensorflow
- Getting started with TensorFlow.
- Lab: Using tf.learn.
- TensorFlow graphs and loops + lab.
- Lab: Using low-level TensorFlow + early stopping.
- Monitoring ML training.
- Lab: Charts and graphs of TensorFlow training.
Module 9: Scaling ML models with CloudML
- Why Cloud ML?
- Packaging up a TensorFlow model.
- End-to-end training.
- Lab: Run a ML model locally and on cloud.
Module 10: Feature Engineering
- Creating good features.
- Transforming inputs.
- Synthetic features.
- Preprocessing with Cloud ML.
- Lab: Feature engineering.
Module 11: Architecture of streaming analytics pipelines
- Stream data processing: Challenges.
- Handling variable data volumes.
- Dealing with unordered/late data.
- Lab: Designing streaming pipeline.
Module 12: Ingesting Variable Volumes
- What is Cloud Pub/Sub?
- How it works: Topics and Subscriptions.
- Lab: Simulator.
Module 13: Implementing streaming pipelines
- Challenges in stream processing.
- Handle late data: watermarks, triggers, accumulation.
- Lab: Stream data processing pipeline for live traffic data.
Module 14: Streaming analytics and dashboards
- Streaming analytics: from data to decisions.
- Querying streaming data with BigQuery.
- What is Google Data Studio?
- Lab: build a real-time dashboard to visualize processed data.
Module 15: High throughput and low-latency with Bigtable
- What is Cloud Spanner?
- Designing Bigtable schema.
- Ingesting into Bigtable.
- Lab: streaming into Bigtable.
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Why Radical Technologies
Live Online Training
Highly practical oriented training
Installation of Software On your System
24/7 Email and Phone Support
100% Placement Assistance until you get placed
Global Certification Preparation
Trainer Student Interactive Portal
Assignments and Projects Guided by Mentors
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Live Classroom Training
Weekend / Weekdays / Morning / Evening Batches
80:20 Practical and Theory Ratio
Real-life Case Studies
Easy Coverup if you missed any sessions
PSI | Kryterion | Redhat Test Centers
Life Time Video Classroom Access ( coming soon )
Resume Preparations and Mock Interviews
And Many More Features
Course completion certificate and Global Certifications are part of our all Master Program
Self Paced Training
Self Paced Learning
Learn 300+ Courses at Your Own Time
50000+ Satisfied Learners
Course Completion Certificate
Practical Labs Available
Mentor Support Available
Doubt Clearing Session Available
Attend Our Virtual Job Fair
10% Discounted Global Certification
Course completion certificate and Global Certifications are part of our all Master Program
Skills Covered
Like the Curriculum ? Let's Get Started
Why Enroll for GCP Data Engineer ?
In-Demand Skills
Looking to excel in data engineering? Enroll in our GCP Data Engineer Course Certification Training to master in-demand skills like BigQuery, Dataflow, and Cloud Storage. Discover how to use Google Cloud for designing, managing,and optimizing data systems. Boost your career with GCP's industry-recognized credentials.
Career Opportunities
Unlock exciting career opportunities with GCP Data Engineer Course Certification Training! Master cloud technologies like BigQuery and Dataflow. High-demand roles include Data Engineer, Cloud Architect, and Data Analyst. Enroll now to advance your career in Google Cloud's data ecosystem!
Cloud Adoption
Accelerate cloud adoption with GCP Data Engineer Course Certification Training! Master essential tools like BigQuery, Dataflow, and Pub/Sub to streamline data processing and storage. Enhance your skills to design scalable data solutions in Google Cloud. Enroll today and lead in the cloud-first world of tomorrow!
Scalability and Flexibility
Master scalability and flexibility with GCP Data Engineer Course Certification Training! Learn to design dynamic, scalable data systems using tools like BigQuery and Dataflow. Optimize performance, reduce costs, and enhance cloud infrastructure. Enroll now to lead in Google Cloud’s flexible data solutions!
Cost Management
Managing costs for GCP Data Engineer Course Training is crucial. Our course offers practical cost-saving strategies for cloud resources, ensuring efficient spending. Enroll today for certification and master Google Cloud, optimizing data engineering with expert guidance and real-world experience.
Security and Compliance
Security and compliance are essential in GCP Data Engineer Course Training. Learn how to secure data pipelines and adhere to industry regulations. Enroll now for certification and gain hands-on skills to ensure your Google Cloud projects meet security standards while staying compliant.
Course benefits
Who Can Apply for Red Hat Linux
- Information Architects and Statisticians
- Developers looking to master Machine Learning and Predictive Analytics
- Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals
- Aspirants who are looking to work as Machine Learning Experts, Data Scientists, etc.
- Anyone who wants to learn machine learning, artificial intelligence, data visualization, data analytics, data structures, and algorithms (DSA).
Why GCP Data Engineer ?
Scalability
Mastering scalability is vital for data engineers. Our GCP Data Engineer Course Training equips you with skills to handle growing datasets and optimize Google Cloud resources. Enroll for certification to design scalable, efficient data solutions and advance your cloud engineering expertise.
Flexibility
Flexibility is key in GCP Data Engineer Course Training. Learn to adapt data pipelines to evolving needs, scale effortlessly, and customize Google Cloud resources. Enroll now for certification to gain hands-on experience and boost your career with versatile cloud engineering skills.
Hybrid Capabilities
Unlock powerful hybrid capabilities with GCP Data Engineer Course Training. Learn to integrate on-premise systems with Google Cloud, optimizing data management and flexibility. Enroll now for certification to master hybrid cloud solutions, advance your career, and stay competitive in data engineering.
Security and Compliance
Mastering security and compliance is vital in GCP Data Engineer Course Training. Learn to protect data, ensure privacy, and follow global standards. Enroll for certification to gain hands-on skills in safeguarding Google Cloud projects, keeping them secure and compliant with industry regulations.
Cost-Effectiveness
Learn cost-effectiveness in GCP Data Engineer Course Training. Optimize cloud resources, reduce waste, and boost project efficiency. Enroll for certification to gain skills in managing budgets while leveraging Google Cloud tools, making you a valuable, cost-conscious data engineering professional.
Innovation
Innovation is key in GCP Data Engineer Course Training. Learn cutting-edge tools to design advanced data solutions in Google Cloud. Enroll for certification to master cloud technologies, foster creativity, and stay ahead in the evolving field of data engineering, driving impactful business innovations.
Global Certification
Red Hat Linux Fees in Bangalore
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- Placement Assistance upon clearing PRT
- Dedicated Learning Manage
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