Gain cutting-edge skills and boost your career with our industry-relevant Data Engineering Course in Ghaziabad. Transform your professional path with practical knowledge, and the latest digital tools. Join Now !
4Achievers is a leading Data Engineering Institute in Ghaziabad, offering a comprehensive Data Engineering Training in Ghaziabad. This course is designed to provide students with the essential skills required to manage, process, and analyze large sets of data. Students learn to work with modern data engineering tools, cloud platforms, and data pipelines to solve real-world challenges. 4Achievers ensures that students are equipped with hands-on experience through live projects, supported by a world-class IT lab for practical learning. Additionally, the institute offers strong placement assistance, helping students secure rewarding jobs in top companies after course completion.
| Module | Duration | Topics Covered |
|---|---|---|
| Introduction to Data Engineering | 2 Weeks | Basics of data engineering, data types, and data structures |
| Data Pipeline Development | 4 Weeks | Building and managing data pipelines using ETL tools like Apache NiFi and Airflow |
| Big Data Technologies | 3 Weeks | Working with Hadoop, Spark, and NoSQL databases |
| Cloud Computing for Data Engineering | 3 Weeks | AWS, Azure, Google Cloud Platform for data storage and processing |
| Data Warehousing & Analytics | 3 Weeks | Data warehousing concepts, real-time data analytics with tools like Apache Kafka |
| Final Project | 2 Weeks | Implementing a complete data engineering solution and building a portfolio |
| Phase | Description | Timeline |
|---|---|---|
| Resume Building | Personalized feedback on resumes to highlight skills in data engineering | Week 6 |
| Mock Interviews | Practice interviews with industry professionals to build confidence and improve interview skills | Week 7 |
| Job Placement Support | Job alerts, direct company tie-ups, and assistance in securing data engineering roles | Ongoing post-course |
| Facility | Tools & Software Available | Purpose |
|---|---|---|
| Big Data Lab | Hadoop, Spark, Kafka, HBase, Apache Flume | Hands-on practice with big data tools and technologies |
| Cloud Computing Lab | AWS, Azure, Google Cloud Platform | Learning cloud platforms for data storage, processing, and analysis |
| Database & ETL Lab | MySQL, PostgreSQL, Talend, Apache Airflow | Practice with relational and NoSQL databases, ETL tools |
With Data Engineering Training in Ghaziabad at 4Achievers, students gain the knowledge, skills, and practical experience needed to excel in the rapidly growing field of data engineering.
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At 4Achievers, a leading Data Engineering Training Institute in Ghaziabad, students are introduced to Agile methodologies during their Data Engineering Training. Agile is an essential approach in modern data engineering projects, as it emphasizes flexibility, collaboration, and iterative progress. During the course, students actively participate in Agile activities that help them learn how to manage data engineering tasks in manageable increments, collaborate with teams, and respond quickly to changes.
By integrating Agile activities into the training, students gain hands-on experience in real-world data engineering scenarios, improving both their technical and project management skills.
Sprint Planning: Students are introduced to the concept of sprints, where specific tasks are divided into small, manageable parts, such as building data pipelines or setting up cloud environments. The team collaborates to identify priorities for the sprint.
Daily Stand-Ups: Every day, students participate in brief meetings to discuss the progress of tasks, identify blockers, and plan the next steps. This keeps the team aligned and focused on achieving sprint goals.
Sprint Review and Retrospective: After each sprint, students review their progress, gather feedback, and identify areas for improvement. This iterative process helps in enhancing the overall project quality and performance.
User Story Mapping: Students break down complex data engineering tasks into smaller user stories, making it easier to manage and prioritize tasks during sprints. For example, creating a data pipeline might be broken down into smaller tasks like setting up data sources, cleaning the data, and integrating it into a warehouse.
| Agile Concept | Activity in Data Engineering | Benefit to Students |
|---|---|---|
| User Stories | Breaking down data engineering tasks into manageable user stories, e.g., "Create data ingestion pipeline" | Helps students focus on specific tasks and track progress effectively |
| Sprints | Short-term, focused work periods where specific data tasks are completed, like data transformation or cleaning | Encourages focused, time-bound work, leading to faster project completion |
| Collaboration | Continuous communication and collaboration within teams on tools like JIRA or Trello | Teaches teamwork and sharing ideas for problem-solving in a data-driven environment |
| Iterative Improvements | After each sprint, students refine their work based on feedback, improving their pipelines and processes | Promotes continuous improvement, ensuring high-quality results over time |
| Tool | Purpose | Benefit to Students |
|---|---|---|
| JIRA/Trello | Task management and sprint tracking | Helps students manage tasks efficiently and keep track of deadlines |
| GitHub/GitLab | Version control for code and project management | Teaches best practices for collaborative coding and managing project changes |
| Slack | Communication and collaboration tool for teams | Improves teamwork and communication during the training phase |
Real-World Learning: By adopting Agile during their Data Engineering Training, students simulate real-world data engineering projects, ensuring they understand how to work on projects with continuous updates and feedback loops.
Improved Collaboration: Students learn how to work together as a team, communicate effectively, and solve problems collectively, which is critical in the data engineering field where projects often require collaboration across different functions.
Iterative Development: With Agile, students can quickly test and refine their data engineering solutions. This iterative approach allows them to improve their skills continuously, leading to a more polished and efficient final product.
Increased Flexibility: Agile's flexibility ensures students can adapt to new requirements or challenges that may arise during the project. Whether it's adjusting data models or tweaking data pipelines, Agile equips students with the ability to be flexible and efficient in responding to changing demands.
| Phase | Description | Timeline |
|---|---|---|
| Sprint Planning | Defining tasks for the sprint, such as setting up data sources, ETL processes, or cloud configurations | Week 1 - Week 2 |
| Execution of Tasks | Completing tasks from the sprint backlog like data ingestion, processing, and pipeline creation | Week 3 - Week 4 |
| Sprint Review & Retrospective | Reviewing the completed tasks, gathering feedback, and making improvements to the data engineering solution | End of each sprint |
With the integration of Agile practices into Data Engineering Training in Ghaziabad at 4Achievers, students are not only gaining technical expertise in tools and technologies but also learning how to manage and execute projects in a collaborative, iterative, and flexible manner. This training ensures that students are well-prepared for real-world data engineering roles and can handle the dynamic nature of modern data engineering projects.
4Achievers offers the step-by-step guide to get your dream job after completing Course.
