About Course
This comprehensive Google Data Engineer course is designed to equip you with the necessary skills and knowledge to become a Google Certified Professional Data Engineer. You will gain hands-on experience with Google’s data processing tools and techniques, preparing you to excel in today’s competitive job market.
- Our Recruitment company details and open roles:https://lsarecruit.zohorecruit.in/careers
Duration: 1month ( Mon to fri, Sat & Sun 9am to 2pm ) - For fee and job assistance please call us on : 02033710546 or 07843259631 Email us : training@Lsatraining.co.uk
- Course Description
- Course Overview
- Course Outline
- Highlights
Google Certified Professional Data Engineer Learning Path
This learning path is designed to help you prepare for the Google Certified Professional Data Engineer Exam. Even if you don't plan to take the exam, these courses will provide you with a solid understanding of the various data processing components of the Google Cloud Platform.
Core Components of Google Cloud Platform:
1. BigQuery:
Learn how to load and query data in BigQuery.
Optimize BigQuery’s performance.
Visualize your data effectively.
2. Data Processing:
Use Cloud Machine Learning Engine to train neural networks for predictive analytics.
Build data processing pipelines with Cloud Dataflow and Cloud Dataproc using Apache Beam, Hadoop, and Spark.
3. Bigtable:
Understand Bigtable, Google’s high-performance NoSQL database.
Leverage Bigtable’s capabilities for big data applications.
Hands-On Experience:
Each course includes hands-on demos to reinforce your learning. After completing the courses, you can test your knowledge with a practice exam.
Whether you're aiming for certification or simply seeking to enhance your data engineering skills, this learning path provides comprehensive training in Google Cloud's data processing services.
Placement assistance program through LSA Recruit:
At LSA TRAINING, we are committed to helping our students secure suitable job opportunities through our comprehensive Placement Assistance Program.
Key Features of the Program:
1. Scope: Our program assists LSA Training students in finding jobs in their desired industry sectors and roles.
2. Target Audience: Open to students who have successfully completed their training with LSA.
3. Employer Database: We maintain a database of potential employers relevant to students' skills and interests.
4. Partnerships: We establish partnerships with employers, attend career fairs, and participate in industry events to facilitate job placements.
5. Candidate Profiles: Detailed profiles are created outlining students' skills, knowledge, experience, and qualifications.
6. Career Coaching: We offer career advice, resume development, and interview preparation services.
7. Job Matching: Students are matched with potential employers based on their profiles and job requirements.
8. Interview Arrangements: We coordinate interviews between students and employers.
9. Feedback: Post-interview feedback is provided to help students improve their job search skills.
10. Success Monitoring: We track the success rate of placements and gather feedback from students and employers to continuously improve our services.
Contact Us:
For more details on our Recruitment Program, visit [www.Lsarecruit.co.uk], call us at +44 02039501453, or email us at Careers@Lsarecruit.co.uk.
Empower your career with LSA TRAINING and LSA Recruit.
LSA Training Learning Objectives:
Build and Maintain Data Structures and Databases: Develop the skills to design, implement, and manage data structures and databases efficiently.
Analyze Data and Enable Machine Learning: Learn to analyze data effectively and apply machine learning techniques to derive insights.
Optimize Data Representations and Infrastructure Performance: Enhance data representations for better performance and cost efficiency.
Ensure Reliability of Data Processing Infrastructure: Ensure robust and reliable data processing systems.
Visualize Data: Master data visualization techniques to present data clearly and effectively.
Design Secure Data Processing Systems: Learn to design data processing systems with a strong emphasis on security.
Prerequisites:
Basic Database Knowledge: While not mandatory, basic database knowledge is recommended. We will cover fundamental database concepts at the start of the training.
Intended Audience:
Data Professionals: Ideal for data professionals seeking to enhance their skills and knowledge in data engineering.
Google Professional Data Engineer Exam Candidates: Perfect for individuals preparing for the Google Professional Data Engineer exam.
Course Overview:
This comprehensive Google Data Engineer course is designed to equip you with the necessary skills and knowledge to become a Google Certified Professional Data Engineer. You will gain hands-on experience with Google’s data processing tools and techniques, preparing you to excel in today’s competitive job market.
Course Objectives:
– Build and maintain scalable data structures and databases.
– Analyze data effectively and enable machine learning applications.
– Optimize data infrastructure for performance and cost-efficiency.
– Ensure the reliability and security of data processing systems.
– Visualize data to derive meaningful insights.
Course Structure
- Overview of GCP
- GCP services and tools
- Setting up a GCP account
- Google Cloud Storage
- BigQuery: Loading, querying, and optimizing performance
- Cloud SQL and Cloud Spanner
- Dataflow: Building data pipelines with Apache Beam
- Dataproc: Managing Hadoop and Spark clusters
- Bigtable: Introduction to Google’s NoSQL database
- Introduction to Cloud Machine Learning Engine
- Training and deploying machine learning models
- Applying machine learning to real-world data
- Visualizing data with Data Studio and other GCP tools
- Best practices for data visualization
- Creating interactive dashboards and reports
- Designing secure data processing systems
- Managing access and identity with IAM
- Ensuring compliance with industry standards
- Optimizing data infrastructure for performance
- Cost management strategies on GCP
- Monitoring and logging best practices
- Hands-on projects to apply learned concepts
- Case studies of successful GCP data implementations
- Collaborative project work and peer review
- Overview of the Google Professional Data Engineer Exam
- Practice exams and quizzes
- Tips and strategies for exam success
- Cloud Dataflow Streaming Features.
- Lab: Streaming Data Pipelines.
- BigQuery Streaming Features.
- Lab: Streaming Analytics and Dashboards.
- Cloud Bigtable.
- Lab: Streaming Data Pipelines into Bigtable.
Prerequisites:
Basic database knowledge is recommended but not mandatory. Introductory database concepts will be covered at the start of the course.
Intended Audience:
Data professionals looking to enhance their skills.
Individuals preparing for the Google Professional Data Engineer exam.
Course Delivery:
Format: Instructor-led, face-to-face, and online training options available.
Materials: Detailed presentations, soft copy materials, and access to a cloud-based test lab.
Interactive Sessions: Mock interviews, group discussions, and interview-related questions.
Practical Learning: Real-world project scenarios and hands-on demos.
Support and Placement Assistance:
Upon completion of the training, you will receive placement assistance from our recruitment arm, LSA Recruit. We operate in the UK, India, EU, and UAE, working with major integrators and top companies to help you secure your next job opportunity.
Contact Us:
For more information about the course or to enroll, please contact us at:
Email: training@lsatraining.com
Phone: +44 1234 567890
Website: www.lsatraining.com
Join LSA Training and take the first step towards becoming a Google Certified Professional Data Engineer!
Training Highlights
Interactive Learning: Enhanced interaction between students and faculty, as well as among students.
Comprehensive Materials: Detailed presentations with soft copy materials available for reference at any time.
Practical and Job-Oriented Training: Focus on practical skills with hands-on practice using software tools and real-time project scenarios.
Preparation for Interviews: Includes mock interviews, group discussions, and interview-related questions.
Cloud-Based Test Lab: Access to a cloud-based test lab for practicing software tools as needed.
Real-Time Project Domains: Discussions on real-time project domains to provide relevant context and experience.
Current Market Relevance: Teaching methods, tools, and topics are selected based on the current competitive job market.
Additional Course Benefits
Hands-On Experience: Gain practical experience with industry-relevant tools and techniques.
Real-Time Project Work: Work on real-time projects to build your portfolio and practical knowledge.
Interview-Based Training: Tailored training to help you excel in job interviews.
Expected Salary/Pay Package Guidance:
Contractors: £400 to £600 per day, depending on experience and skill set.
Permanent Positions: £50,000 to £100,000 per annum, based on experience and skills.
