GCP Data Engineer Training in Hyderabad
- Google Cloud Data Engineer Course
- 100% Placement Assistance
- Daily Online Training Recordings
- Interview Questions
- Resume Preparation Guidance
- Industry level Real Time Projects
- Interview Guidance with Job Support
Next Batch Details
| Trainer Name | Mr. NAGA BABU |
| Trainer Experience | 15+ Years |
| Next Batch Date | 1st April 2024(9 :00 A.m) |
| Training Modes: | Online Training (Instructor Led) |
| Course Duration: | 2 Months |
| Call us at: | +91 81426 44 555 |
| Email Us at: | gcpmasters.in@gmail.com |
| Demo Class Details: | WhatsApp for More Details |
GCP Data Engineer Course Syllabus
- Anticipating Future Data Technology Advancements
- Adapting to Evolving Business Requirements
- Understanding Current State and Migration Strategies
- Data Modeling for Flexibility
- Navigating Tradeoffs in Design
- Incorporating Distributed Systems
- Strategic Schema Design
- Future-Proofing for Data Technology Advances
- Adapting to Changing Business Requirements
- Migrating Designs to Future States
- Data Modeling Impact on Pipelines
- Tradeoffs in Pipeline Design
- Ensuring System Availability
- Thoughtful Schema Design
- Addressing Common Errors (e.g., Selection Bias)
- Incorporating Future Data Technology Trends
- Aligning with Business Requirement Changes
- Seamless Migration from Current to Future State
- Strategic Data Modeling
- Balancing Tradeoffs in Infrastructure
- Ensuring System Availability in Distributed Systems
- Schema Design for Scalability
- Capacity Planning for Efficient Operations
- Exploring Architectural Options: Message Brokers, Queues, Middleware, Service-Oriented Approaches
- Adhering to Future-Ready Design Principles
- Sustaining Flexibility Amid Business Evolution
- Incorporating Data Cleansing Best Practices
- Balancing Batch and Streaming Processes
- Transforming Data Effectively
- Strategies for Data Acquisition and Import
- Rigorous Testing and Quality Control
- Seamless Integration of New Data Sources
- Resource Provisioning Strategies
- Pipeline Monitoring for Performance
- Adaptive Adjustments to Pipelines
- Rigorous Testing and Quality Control
- Effective Data Collection and Labeling
- Insightful Data Visualization
- Dimensionality Reduction Techniques
- Rigorous Data Cleaning and Normalization
- Defining Metrics for Success
- Strategic Feature Selection and Engineering
- Algorithm Selection Considerations
- Debugging Models for Optimal Performance
- Performance and Cost Optimization Strategies
- Online and Dynamic Learning Considerations
- Collaborating with Business Stakeholders
- Skillful Gathering of Business Requirements
- Resizing and Scaling Resources Strategically
- Implementing Data Cleansing in Distributed Systems
- Leveraging High-Performance Algorithms
- Mitigating Common Errors, Including Selection Bias
- Rigorous Verification Protocols
- Building and Executing Comprehensive Test Suites
- Continuous Pipeline Monitoring
- Continuous Evaluation of Data Representations and Infrastructure
- Efficient Troubleshooting Strategies
- Thoughtful Planning for Fault Tolerance
- Executing Reliable Recovery Plans
- Stress Testing Data Recovery Processes
- Automation Strategies
- Decision Support Integration
- Data Summarization Techniques
- Adhering to Automation Principles
- Decision Support Integration
- Ensuring Data Summarization and Integrity
- Upholding Trackability in Reporting
- Implementing Robust Identity and Access Management
- Ensuring Data Security Measures
- Rigorous Penetration Testing
- Adhering to Separation of Duties Principles
- Implementing Effective Security Controls
- Navigating Legislative Requirements (e.g., HIPAA, COPPA)
- Facilitating Audits for Compliance Assurance
Key Points
Comprehensive Curriculum
GCP Masters offers a comprehensive curriculum covering essential topics in GCP Data Engineering. Participants delve into GCP services, data modeling, ETL processes,coding skills are necessary for data engineers big data technologies, machine learning integration, and real-time data processing.
Hands-On Learning Experience
The training covered all the skills required to become a Cloud Data Engineer.emphasizes a hands-on learning approach with practical labs and real-world projects. Participants gain practical experience working in a simulated GCP environment, ensuring they can apply their skills effectively in professional settings.
Flexible Learning Options
GCP Masters recognizes diverse explore the foundations of Google Cloud in depth preferences and provides flexible options. Participants can choose between self-paced learning for individual flexibility or live instructor-led sessions for interactive discussions and real-time guidance.
Experienced Trainers
Industry experts and certified Trainers bring real-world insights, practical experience, and a deep understanding of GCP, ensuring participants receive high-quality instruction.Learn about a wide range of GCP services and solutions with expertise.
Certification Preparation Support
The GCP big Data Engineer training in Hyderabad program includes dedicated support for certification preparation. Participants receive guidance on exam topics, access to practice materials, and insights into exam structure to enhance their chances of success.
Placement Assistance
GCP Masters provides placement assistance to connect participants with potential job opportunities. The support includes resume reviews, interview preparation, and coding skills are necessary for data engineers networking opportunities to help participants transition smoothly into the workforce.
Continuous Access to Course Materials
Participants retain access to course materials even after completing the training. This ensures ongoing reference and review, supporting continuous learning and skill retention.
Real-World Projects
The curriculum includes industry-relevant projects that challenge participants to apply their skills to solve real-world problems. Get practical experience implementing the learned skills in projects.
Interactive Doubt Sessions
GCP Masters understands the importance of clarifying doubts and ensuring participants have a thorough understanding of the concepts. Interactive doubt sessions are incorporated into the training.
What is a GCP Data Engineer?
A Google Cloud Platform (GCP) Data Engineer is a professional who specializes in designing, building, and maintaining data processing systems on the Google Cloud Platform. This role involves working with various GCP tools and services to develop robust and scalable data solutions that meet the organization’s requirements. The primary goal of a GCP Data Engineer is to ensure the efficient and reliable processing of large volumes of data for analysis, reporting, and other business purposes.
One of the key responsibilities of a GCP Data Engineer is to design and implement data pipelines. This involves creating workflows that extract, transform, and load (ETL) data from source systems into GCP storage and processing solutions. GCP provides a range of services for these tasks, such as Cloud Storage, BigQuery, Dataflow, and Dataprep, and a GCP Data Engineer must be proficient in leveraging these tools to build effective data pipelines.
What is the use of GCP Data Engineer ?
- Collaboration is a key use of a GCP Data Engineer’s skills, as they work closely with data scientists, analysts, and other stakeholders. By understanding the organization’s data requirements determine how to improve the efficiency of workflows used in data processing.
- Data pipelines will be monitored, bottlenecks will be identified, and the pipelines will be modified for maximum efficiency.
- Using Google Cloud Platform’s (GCP) set of tools and services to build, implement, and manage data processing systems that meet an organization’s data demands is a critical function of a GCP data engineer.
- Building dependable and scalable data solutions that facilitate the effective management of sizable datasets for analytics, reporting, and other business applications is the primary responsibility of a GCP Data Engineer.
- Building data pipelines is one of a GCP Data Engineer’s primary responsibilities. These pipelines include data extraction, transformation, and loading (ETL) into GCP processing and storage services from a variety of sources.
- Working knowledge of GCP tools such as BigQuery, Dataflow, Cloud Storage, and Dataprep is necessary to build efficient and smooth data workflows.
- Optimizing and fine-tuning existing data pipelines for improved performance is another critical aspect of the GCP Data Engineer’s role.
- This includes addressing issues related to data quality, latency, and reliability. Regular monitoring and troubleshooting of data processing systems are undertaken to ensure the continuous and reliable operation of these systems.
Pre-Requisites of the GCP Data Engineer Course
Proficiency in programming languages, such as Python, Java, or SQL, is crucial. Azure and AWS have usually the advantage in this regard. GCP Data Engineers use these languages to write scripts, optimize code for data processing tasks, and interact with GCP services programmatically.
A solid understanding of database concepts is necessary. GCP Data Engineers work extensively with databases, so knowledge of database design, normalization, and SQL querying is essential for effectively managing and manipulating data.
Data modeling involves designing effective data structures. GCP Data Engineers need to understand how to represent and organize data for optimal storage and retrieval, considering both relational and non-relational data models.
Familiarity with cloud computing principles is important, as the course will focus on using GCP services. Understanding concepts like virtualization, scalability, and cloud infrastructure will help learners make the most of GCP’s capabilities.
GCP Data Engineer training often deal with large datasets. Familiarity with big data technologies like Apache Hadoop and Apache Spark is beneficial, as these tools enable distributed processing of large volumes of data.
Who should learn GCP Data Engineer?
- Data Engineers
- Database Administrators
- Software Developers
- Data Analysts
- IT Professionals
- Those who want to become data scientists
- Business Intelligence Professionals
- Graduates and Students
- Career Changers
- Cybersecurity Professionals
GCP Data Engineer Training In Hyderabad
Course Outline
01
Overview of GCP services, architecture, and cloud computing fundamentals.
02
Google Cloud Storage (GCS) for object storage and Cloud SQL/Cloud Spanner for relational databases.
03
Introduction to Apache Hadoop and Apache Spark on GCP, including processing and analyzing large datasets with BigQuery.
04
Using Cloud Dataflow for stream and batch processing, and implementing ETL pipelines with Apache Beam.
05
Overview of GCP’s machine learning services and building/deploying models with TensorFlow on GCP.
06
Designing and managing data warehouses, and optimizing queries/performance in BigQuery.
07
Implementing access controls, and security measures, and ensuring compliance/data governance on GCP.
08
Real-world scenarios and projects to apply knowledge, and collaborative projects to enhance practical skills.
09
Guidance on preparing for the GCP Data Engineer certification exam, and practice tests/mock exams.
GCP Data Engineer Training In Hyderabad
Objectives
The GCP Data Engineer course at GCP Masters has been carefully designed to meet predetermined goals and give learners the skills and knowledge needed to succeed in the constantly developing area of data engineering on the Google Cloud Platform (GCP). The goals of the GCP Data Engineer Training in Hyderabad course are to give students a thorough grasp of GCP services, data processing methods, and industry best practices in a practical manner.
- Master GCP services like BigQuery, Cloud Storage, and Dataflow for data engineering.
- Excel in designing efficient data models tailored to organizational needs.
- Become proficient in ETL processes for seamless data integration using GCP tools
- Integrate big data technologies (Apache Spark, Hadoop) into data workflows.
- Learn real-time data processing with GCP tools like Dataflow.
- Integrate machine learning models for enhanced data analytics.
- Develop awareness of data security and compliance standards.
Course Overview
The GCP Data Engineer course at GCP Masters is a comprehensive and hands-on program designed to equip participants with the skills and expertise needed to excel in the dynamic field of data engineering on Google Cloud Platform (GCP).
The goal of this course is to give participants an in-depth understanding of GCP services and best practices for data engineering through an organized learning path that integrates theoretical knowledge with real-world application.
Tools Covered In GCP Data Engineer Training in Hyderabad
Google BigQuery
BigQuery is a fully managed, serverless data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure. GCP Data Engineer Training in Hyderabad covers data querying, analysis, and optimization on BigQuery.
Google Cloud Dataprep
Dataprep is a cloud-based data preparation tool that allows users to explore, clean, and prepare data for analysis. GCP Data Engineer training in Hyderabad covers the use of Dataprep for efficient data wrangling and transformation.
Google Cloud Dataproc
Dataproc is a fast, easy-to-use, fully-managed cloud service for running Apache Spark and Apache Hadoop clusters. Training includes deploying and managing Dataproc clusters for distributed data processing.
Google Cloud Pub/Sub
Pub/Sub is a messaging service that allows for the real-time exchange of messages between independent applications. GCP Data Engineer training covers the integration of Pub/Sub for building scalable and event-driven data processing systems.
Google Cloud Spanner
Spanner is a globally distributed, strongly consistent database service. GCP Data Engineer Training in Hyderabad covers using Spanner for managing and storing structured data with high availability and global scalability.
Google Cloud SQL
Cloud SQL is a fully managed relational database service for MySQL, PostgreSQL, and SQL Server. GCP Data Engineer training in Hyderabad includes using Cloud SQL for managing relational databases in the cloud.
Modes of GCP Data Engineer course
GCP Online Training
- Certification-oriented
- Industry-Expert Trainers
- Affordable Course fee
- Access to Recorded Sessions
- Doubt-clearing Sessions
- Interview Guidance
- 100% Placement Assistance
- Whatsapp Group Access
Video Recorded Sessions
- Lifetime Video Access
- Basic to Advance Level
- Flexible Learning Schedule
- Doub-clearing Sessions
- Course Materials
- Certification Dumps
- Interview Guidance
- Certification Support
Corporate Training
- Live Project Training
- Advance Level Course
- Flexible class timing
- Real-Time Problem Solving
- Doubt-clearing sessions
- Video Material Access
- Course Material Dumps
- Whatsapp Group Access
Carrer Opportunities
01
Data Engineer
The most direct career path is that of a Data Engineer. GCP Data Engineers design, build, and maintain data processing systems, ensuring efficient ETL (Extract, Transform, Load) processes, optimal data storage, and seamless integration with other cloud services.
02
Cloud Data Architect
Professionals can advance their careers to become Cloud Data Architects, responsible for designing and overseeing the entire data architecture on Google Cloud. This role involves making strategic decisions about data storage, processing, and integration to meet business objectives.
03
Big Data Engineer
GCP Data Engineers with expertise in handling large datasets and using tools like Apache Spark on Google Cloud can transition into roles specifically focused on big data engineering. These professionals work on scalable solutions for processing and analyzing vast amounts of data.
04
Machine Learning Engineer
GCP Data Engineers with a strong understanding of machine learning concepts and the ability to work with tools like Google Cloud AutoML can explore careers as Machine Learning Engineers. They develop and deploy machine learning models using GCP’s machine learning services.
07
Data Warehouse Architect
GCP Data Engineers can pursue roles as Data Warehouse Architects, specializing in designing and managing data warehouses on Google Cloud. This involves optimizing data storage, query performance, and ensuring data consistency.
08
DevOps Engineer (Data)
DevOps Engineers with a focus on data operations can leverage GCP Data Engineering skills to automate data workflows, manage infrastructure as code, and ensure the reliability and scalability of data processing systems.
09
Professionals interested in visualizing and communicating insights from data can explore BI Developer roles. GCP Data Engineers with BI skills use tools like Google Data Studio to create meaningful visualizations and reports.
10
Cloud Solutions Architect
GCP Data Engineers can broaden their career scope by becoming Cloud Solutions Architects. These professionals design end-to-end cloud solutions, integrating data engineering components with other cloud services to meet business requirements.
Skills Developed Post GCP Data Engineer Training
01
Mastery of Google Cloud Platform (GCP) services and tools for data engineering tasks.
02
Ability to design efficient data structures and models to meet business requirements.
03
Proficiency in building data pipelines for extracting, transforming, and loading data into GCP.
04
Strong coding skills in languages such as Python, Java, and SQL for data processing tasks.
05
Competence in managing databases, including relational and non-relational databases on GCP
06
Familiarity with big data technologies like Apache Spark for processing large datasets.
07
Knowledge of implementing data security measures and ensuring compliance with regulations.
08
Creating meaningful visualizations using tools like Google Data Studio for data analysis and reporting.
GCP Certifications
- Associate Cloud Engineer
- Professional Data Engineer
- Professional Machine Learning Engineer
- Professional Cloud Architect
Achieving these certifications demonstrates not only a deep understanding of GCP but also specialized expertise in data engineering and related areas. GCP Certifications are recognized in the industry and can significantly enhance a professional’s credibility and career prospects.
You will receive a course completion certificate from GCP Masters that is accepted by leading multinational corporations and the industry as a whole after finishing the course. Having this certification will set you apart in the competitive employment market.
Pay Scale Of GCP Jobs
- The highly skilled GCP Cloud Data engineers who are at the entry level, typically with 0 to 2 years of experience, can expect a starting salary in the range of ₹4,00,000 to ₹8,00,000 per annum.
- As professionals gain more experience, those with 2 to 5 years in the field can anticipate a mid-level salary ranging from ₹8,00,000 to ₹15,00,000 per annum.
- GCP Data Engineers with 5 to 10 years of experience can command a higher salary in the range of ₹15,00,000 to ₹25,00,000 per annum.
- At the senior level, with over 10 years of experience, can expect GCP Data Engineers salary of ₹25,00,000 and above per. The demand for data engineers at Google Cloud Platform (GCP) is going through a significant rise.annum.
- Senior GCP Data Engineers in Hyderabad, with extensive experience and leadership roles, can command salaries of ₹15,00,000 and above per year.
Why Choose a Career in GCP Data Engineer?
Choosing a career as a Google Cloud Platform (GCP) Data Engineer offers a multitude of compelling reasons for professionals looking to make a mark in the dynamic field of data engineering and cloud computing.
- This diversity allows individuals to tailor their career trajectories based on personal interests and industry preferences, making it an attractive option for those who seek versatility in their careers.
- One of the primary attractions is the increasing reliance on cloud-based solutions for data processing and analytics by businesses worldwide. GCP, as a leading cloud platform, provides a robust ecosystem of tools and services specifically designed for efficient data management and analysis.
- A GCP Data Engineer career allows individuals to be at the forefront of technological innovation. As organizations strive to harness the power of their data for informed decision-making, GCP Data Engineers play a pivotal role in designing and implementing scalable data processing systems.
- The opportunity to work with cutting-edge technologies, such as BigQuery, Dataflow, and Cloud Storage, presents a stimulating and forward-thinking work environment that appeals to professionals seeking a challenging and dynamic career path.
- Moreover, GCP Data Engineers are in high demand across industries. The versatility of GCP's services ensures that professionals with expertise in data engineering on this platform can find placement opportunities in diverse sectors, including finance, healthcare, e-commerce, and more.
Why Choose us?
GCP Data Engineer Training In Hyderabad
Experienced Instructors
Our trainers are seasoned industry experts and certified GCP professionals. They bring a wealth of practical experience to the training program, offering insights into real-world scenarios and best practices in data engineering on the Google Cloud Platform. Their expertise ensures a high-quality learning experience.
Flexible Learning Options
Recognizing diverse learning preferences, we offer flexibility in our training options. Whether participants prefer self-paced learning or live instructor-led sessions, our GCP Data Engineer training in Hyderabad program accommodates various schedules and learning styles to cater to individual needs.
Industry-Relevant Projects
Participants have the opportunity to work on industry-relevant projects that mirror the challenges faced by data engineers in professional settings. These projects contribute to building a practical portfolio, showcasing participants’ ability to apply their knowledge to solve real-world problems.
Placement Assistance
Our commitment to participants’ success extends beyond the training program. We provide placement assistance to connect participants with our network of industry partners and job opportunities. This support enhances the likelihood of successful placement for participants entering or advancing in the field of GCP Data Engineering.
Cutting-Edge Infrastructure
Our training environment is equipped with cutting-edge infrastructure, providing participants with a simulated real-world experience. State-of-the-art labs and cloud-based resources ensure a seamless learning experience, allowing participants to interact with GCP tools in a controlled and supportive setting.
Comprehensive Curriculum
The GCP Data Engineer training in Hyderabad curriculum at GCP Masters is carefully crafted to cover a wide range of topics essential for GCP Data Engineers. Starting from foundational concepts, participants progress through advanced subjects like data modeling, ETL processes, and integration with machine learning. The curriculum is designed to meet industry standards and equip participants with a holistic skill set.
Benefits
Learning GCP Data Engineer
Industry-Relevant Skills
GCP Data Engineering equips individuals with skills highly relevant to current industry needs. This encompasses a deep understanding of Google Cloud Platform (GCP) services, data modeling, and efficient data processing techniques. Proficiency in GCP allows professionals to align their expertise with the evolving landscape of cloud-based data solutions.
High Demand for GCP Professionals
The demand for professionals with GCP expertise, particularly in data engineering, is driven by the widespread adoption of cloud-based solutions by businesses globally. Organizations recognize the benefits of GCP in terms of scalability, cost-effectiveness, and innovative data processing capabilities.
Real-Time Data Processing
GCP Data Engineering covers tools such as Dataflow, which enables professionals to work on real-time data processing solutions. Real-time data processing is essential in scenarios where immediate insights from streaming data are critical for decision-making.
Job Support Program
Resume Building and Optimization
Crafting an impactful resume is crucial in making a positive first impression. The Job Support GCP Data Engineer Training in Hyderabad Program includes dedicated sessions on resume building and optimization, ensuring that participants showcase their skills and experiences effectively to potential employers.
Mock Interviews and Interview Preparation
Facing interviews can be daunting, especially for those entering the job market. Our program conducts mock interviews to simulate real-world scenarios, providing valuable feedback and honing participants' interview skills.
Access to Exclusive Job Portals
Participants gain access to exclusive job portals curated for GCP Data Engineers. These portals feature job listings, industry insights, and networking opportunities, offering a platform for participants to explore employment options and connect with potential employers.
Continuous Learning and Skill Enhancement
The technology landscape is dynamic, and continuous learning is essential. Our program encourages ongoing skill enhancement by providing access to relevant resources, webinars, and workshops, ensuring that participants stay updated with the latest developments in GCP Data Engineering.
Market Trend
01
Many organizations (over 70%) are now using Google Cloud Platform (GCP) for their data engineering needs.
02
The demand for skilled data engineering professionals, including GCP Data Engineers, is rising annually at a rate of around 20%.
03
More than 60% of organizations need GCP Data Engineers skilled in tools like Dataflow for quick insights and analytics.
04
Nearly 40% of organizations are seeking GCP Data Engineers who can integrate machine learning for advanced analytics.
05
Around 80% of organizations prioritize hiring GCP Data Engineers for their expertise in robust security and regulatory compliance.
06
Over 70% of GCP Data Engineers actively pursue certifications to stay updated on the latest GCP advancements.
Our Accomplishments
Testimonials of GCP Data Engineer Training In Hyderabad
FAQ's
Google Cloud Platform Data Engineer Course
GCP Data Engineer Training in Hyderabad at GCP Masters is a comprehensive program designed to equip individuals with the skills needed to excel in the field of data engineering on the Google Cloud Platform. It is suitable for aspiring data engineers, IT professionals, and anyone looking to leverage GCP for efficient data processing and analytics.
Absolutely! Our GCP Data Engineer training in Hyderabad program caters to learners at all levels. Whether you’re a beginner or have some experience, the curriculum is structured to start with foundational concepts and progress to advanced topics. The trainers provide guidance and support to ensure everyone, regardless of their starting point, can grasp the essentials of GCP Data Engineering.
Our GCP Data Engineer training in Hyderabad is based mostly on practical learning. We offer practical labs, real-world projects, and cloud-based access to GCP scenario simulation. This method guarantees that participants can apply their knowledge in real-world scenarios and comprehend theoretical concepts, so equipping them for obstacles that they may face in the real world.
Certainly! Our training program is designed to align with GCP Data Engineer certification requirements. We provide additional resources, mock exams, and certification preparation support to ensure participants are well-prepared to take and succeed in the certification exams.
Yes, we do. Our commitment to your success extends beyond training completion. We offer placement assistance to connect participants with our network of industry partners and job opportunities. Our goal is to empower you not only with knowledge but also with the resources to launch a successful career in GCP Data Engineering.
Yes, participants have access to course materials even after completing the training. This allows for ongoing review and reference, supporting continuous learning and skill retention.
