Master Data Engineering on the Cloud
Learn to Design and Implement Data Pipelines on AWS, Azure, or GCP. Enroll Now and gain hands-on experience with real-world data engineering tasks. Secure your spot in our upcoming session!
The Power of Data Engineering on Cloud
In the era of big data and cloud computing, data engineering is a critical skill for managing, processing, and transforming data. Our "Data Engineering on Cloud" course is designed to equip you with the skills needed to build robust data pipelines and manage data on the leading cloud platforms: AWS, Azure, and GCP.
This course on Data Engineering on Cloud will equip you with the essential skills and knowledge needed to thrive in this dynamic field. Whether you're an aspiring data engineer, an IT professional looking to upskill, or an experienced practitioner aiming to deepen your expertise, this course caters to all levels of experience.
Course Overview
Our course offers a deep dive into data engineering concepts and practices. You'll learn to design and implement data pipelines, work with various data storage options, and process data using cloud-native tools. We offer dedicated sessions for each of the major cloud providers: AWS, Azure, and GCP, allowing you to focus on the platform most relevant to your career goals.
Gain proficiency in working with a wide range of data storage solutions, including relational databases, NoSQL databases, data lakes, and data warehouses. Understand the strengths and weaknesses of each storage option and how to choose the right one for your specific needs.
Our Footprints in the Data Engineering Space
Through innovation and collaboration, our company leaves a trail of transformative impact across industries.
Testimonials
Great session today on Generative AI and Prompt Engineering. Thanks Bhavuk Chawla and DataCouch for delivering such a great training to the DevReady Elite Developers!
#BSNL training cell organized an innovative global training session n 'Exploring the Potential of Generative AI in Telecom' by the founder of DataCouch for BSNL senior management.
Why Data Engineering Matters
Data engineering is essential for modern data analytics and machine learning. As data volume, variety, and velocity increase, skilled data engineers are crucial for effectively and securely managing storage, transformation, and processing of data.
Data-Driven Decision Making
Data engineering enables organizations to process and analyze vast amounts of data to provide insights.
Foundation of Machine Learning
Efficient data pipelines are essential for feeding clean, structured data into machine learning models.
Handling Big Data Challenges
Skilled data engineers can manage the complexities of exponential data growth in volume, variety, and velocity.
Enabling Real-Time Analytics
Data engineering facilitates real-time data processing, allowing businesses to gain insights and respond quickly.
Career Opportunities
The demand for skilled data engineers is high across various industries, offering great career opportunities.
Enhancing Business Intelligence
Robust data engineering integrates multiple data sources, enhancing business intelligence capabilities.
Data Engineering in Numbers
Between them AWS (33%), Azure (23%), and GCP (11%) hold more than 2/3 market share, which is increasingly growing.
The cloud computing revenue is estimated to cross $950 billion in 2026.
Public Cloud is used by 96% of the companies, while 85% also use private cloud solutions.
AWS offers 200+ services in as many countries and runs on 85% green energy - the most for any cloud provider.
95% of Fortune 500 companies implement Azure with more than 40% of its users located in the USA.
More than 50% of small companies with up to 50 users prefer Google Cloud, with close to 60% located in the USA.
Unlock the Potential of Data Engineering
Why You Should Take This Course?
Comprehensive Curriculum
Covers all major aspects of data engineering, ensuring a well-rounded understanding of the field.
Cloud-Specific Sessions
Choose from dedicated sessions focusing on AWS, Azure, or GCP, tailored to your preferred cloud platform.
Hands-On Labs
Gain practical experience with real-world data engineering tasks through immersive, interactive labs.
Expert Instructors
Learn from industry veterans with extensive experience in data engineering and cloud technologies.
Certification of Participation
Receive a recognized certification of participation that opens doors to high-demand roles in data engineering and boosts your career prospects.
Real-World Projects
Engage in real-world projects that simulate actual industry challenges, providing practical experience.
Why Data Engineering Courses from DataCouch?
Benefit from DataCouch's extensive experience and track record in delivering high-quality technology training.
Engage in hands-on labs and real-world projects that equip you with the practical skills needed to excel in data engineering roles.
Earn a certification that is valued by top employers, enhancing your career prospects in the competitive job market.
Benefit from 24/7 technical support and a dedicated helpdesk to assist you throughout your learning process.
Gain a thorough understanding of data engineering, covering everything from basic concepts to advanced techniques, across major cloud platforms.
Learn using the latest tools and technologies in the data engineering field, ensuring your skills remain relevant and up-to-date.
Frequently Asked Questions
Yes, we offer dedicated sessions for AWS, Azure, and GCP.
Yes, you will receive a certification of Participation after completion of this course.
The course includes live sessions to accommodate different schedules and learning preferences.
The cost varies depending on the selected cloud provider session. Please contact us for detailed pricing information.
We are happy to hear from you
At DataCouch, we are committed to providing exceptional customer service and support. Reach out to us if, you want to know more about our offerings, are experiencing technical difficulties, or need assistance with one of our services.
