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New Hire Training

Data Engineering Bootcamp

Embark on a transformative 12-week journey into the realm of data engineering with our comprehensive bootcamp. Gain hands-on proficiency in key technologies such as SQL, NoSQL, Apache Hadoop, Spark, and cloud platforms (AWS, Azure, Google Cloud). Master the intricacies of database design, ETL processes, and data warehousing, empowering your teams to contribute effectively to the ever-evolving landscape of data engineering. 

 

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Accelerate Expertise in Data Engineering - SQL, Cloud, Big Data - Ignite Skills, Propel Innovation, and Deliver Impactful Solutions

 

 

Our Data Engineering Mastery initiative is meticulously crafted to equip new hires with a comprehensive skill set, seamlessly blending core data engineering concepts with cutting-edge technologies. Dive into mastering key data engineering principles, explore distributed computing frameworks, and engage with cloud platforms like AWS, Azure, and Google Cloud.

  • Technology Focus:
    •  Acquire expertise in ETL processes, database design, and optimization. Cover use cases involving data structures, algorithms, and object-oriented principles. Gain hands-on experience in cloud-based application development and deployment, apply data engineering skills to real-world scenarios.
    • Use Cases Covered:
      • Covering Data Structures, Algorithms, and Object-Oriented Principles
      • Gain Hands-On Experience in Cloud-Based Application Development and Deployment with AWS, Azure, and Google Cloud
      • Apply Data Engineering Skills to Real-World Scenarios in NLP
      • Harness the Power of Data Engineering for Building Cloud-Native Applications
      • Learn to Seamlessly Integrate AI Components into Data Engineering Applications

 

About the program

This program seamlessly blends core data engineering concepts with cutting-edge technologies, offering a deep dive into key principles and practices. Participants will master core data engineering concepts, explore distributed computing with leading cloud platforms, acquire AI fundamentals, and understand machine learning concepts.

Engaging in cloud-native data engineering development, participants will also learn to seamlessly integrate AI into their projects, gaining hands-on experience in end-to-end project development. Through this immersive program, individuals will acquire the expertise needed to excel in the dynamic field of data engineering, covering essential use cases and real-world scenarios in data structures, algorithms, and cloud-based application development.

Curriculum Design

Modules mapped to business outcomes

Dive into a hands-on learning experience with our Data Engineering Mastery Program, centered on practical projects for a profound understanding of data engineering, cloud computing, and AI concepts.

Week 1-2

Foundations of Data Engineering and Technology Introduction

  • Overview of Data Engineering and Its Crucial Role in Modern Data Ecosystems.
  • Introduction to Programming Concepts and the .NET Framework.
  • Initial Exposure to SQL for Database Management.
  • Understanding Distributed Systems and Scalability Principles.
  • Kickstarting Practical Applications Through a Preliminary .NET Project

 

Week 3-4

Advanced Programming Techniques and Database Exploration

  • Mastery of Advanced Programming Techniques, Emphasizing .NET.
  • Exploration of NoSQL Databases (MongoDB, Cosmos DB, DynamoDB) Using .NET.
  • Database Performance Optimization Strategies Employing .NET.
  • In-depth Understanding of Database Indexing and Query Optimization with .NET.
  • Practical Applications Through Real-world .NET Solutions for Complex Data Structures

Week 5-6

Big Data Processing and Analytics with .NET

  • Introduction to Big Data Technologies: Apache Hadoop and Apache Spark.
  • Hands-on Experience with Big Data Processing Using .NET Tools and Libraries.
  • Architecting Scalable Solutions for Massive Datasets with .NET.
  • Implementation of Data Parallelism and Distributed Computing with .NET.
  • Exploring Real-time Big Data Analytics and Streaming Processing with .NET

Week 7-8

ETL Mastery and Data Warehousing Techniques with .NET

  • Designing Robust ETL Pipelines Utilizing .NET Technologies.
  • Building and Optimizing Data Warehouses with .NET for Analytical Prowess.
  • Efficient Data Extraction, Transformation, and Loading (ETL) Processes with .NET.
  • Implementation of Best Practices for Optimizing Data Workflows in a .NET Environment.
  • Comprehensive Project Involving End-to-End ETL Processes with .NET

Week 9-10

Cloud-native Data Engineering and Advanced Concepts

  • Leveraging .NET for Cloud-Native Data Engineering on Leading Cloud Platforms.
  • Exploring Serverless Architectures and Microservices Development with .NET.
  • Integration of Machine Learning Components into Data Engineering Projects Using .NET.
  • Dive into Real-time Analytics and Explore Advanced .NET Topics.
  • Culmination of the Program with an Advanced Project Showcasing Comprehensive Data Engineering Skills

Week 11-12

Advanced Topics, Capstone Projects, and Review
  • In-depth exploration of specific advanced topics based on participant interest (e.g., Kubernetes, Data Mesh).
  • Capstone Project Development: Participants work on a comprehensive, real-world data engineering project.
  • Final Week: Project Presentations, Peer Review, and Continuous Learning Resources
  • Skills assessed: .NET programming, database management, big data processing, ETL, cloud-native data engineering, machine learning integration, and real-time analytics
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Skilling Journey Note

From mastering core .NET programming to honing database management skills, delving into big data processing, and optimizing ETL pipelines, participants will ascend through cloud-native data engineering, machine learning integration, and real-time analytics. The journey culminates in hands-on project development, transforming acquired skills into practical solutions across the spectrum of data engineering domains. Elevate your team's expertise and thrive in the evolving landscape of data engineering.

Delivery Elements

Modular learning, Focused skilling

Instructor led Training

Certified trainers with substantial industry experience guide our Data Engineering Mastery Program. Our team comprises seasoned professionals with a proven track record in data engineering roles. These experts offer invaluable real-world insights, practical knowledge, and a wealth of experience to guarantee participants receive top-tier training

Cohort Based Skilling

Fostering collaborative learning in tight-knit cohorts, our Data Engineering Mastery Program cultivates a robust sense of community and active engagement. Regular interactions, dynamic discussions, and peer-to-peer learning opportunities are integral to the program. Participants not only gain individual skills but also benefit from collective insights and diverse perspectives, enhancing the overall learning experience.

Virtual Labs and Projects

In our Data Engineering Mastery Program, participants engage in an extensive array of hands-on projects and virtual labs, completing over four robust projects and actively participating in 11 immersive labs. These practical experiences span diverse domains, involving tasks such as building resilient data pipelines, optimizing database queries, and seamlessly integrating cutting-edge technologies for real-world applications

Capstone Project

We seamlessly integrate front-end and back-end technologies, delving into the intricacies of cloud deployment. Participants apply advanced AI principles for the development of sophisticated data processing systems, ensuring a comprehensive understanding of the entire data engineering lifecycle. 

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