Fundamentals of Data Engineering – Data Lakes and Data Warehouses Training
This course provides a comprehensive introduction to data engineering with a focus on data lakes and data warehouses. Over the span of two months, students will learn about the architecture, tools, and best practices used in managing large-scale data storage solutions. Through hands-on projects and real-world examples, participants will gain the skills needed to design, build, and maintain robust data systems.
Key Learnings:
- Understand the concepts and architecture of data lakes and data warehouses.
- Learn about different data storage technologies and their use cases.
- Gain proficiency in data ingestion, ETL processes, and data transformation.
- Explore data governance, security, and compliance practices.
- Develop skills in data querying, analysis, and reporting.
- Hands-on experience with industry-standard tools and platforms.
Course Outline:
Module 1: Introduction to Data Engineering
- Lesson 1.1: What is Data Engineering?
- Lesson 1.2: Role of Data Engineers
- Lesson 1.3: Overview of Data Storage Solutions
Module 2: Data Lakes Fundamentals
- Lesson 2.1: Introduction to Data Lakes
- Lesson 2.2: Data Lake Architecture
- Lesson 2.3: Data Lake Implementation
- Lesson 2.4: Data Ingestion and Processing in Data Lakes
- Lesson 2.5: Tools for Building Data Lakes (e.g., Apache Hadoop, Apache Spark)
- Lesson 2.6: Hands-on Project: Setting Up a Data Lake
Module 3: Data Warehouses Fundamentals (Weeks 4-5)
- Lesson 3.1: Introduction to Data Warehouses
- Lesson 3.2: Data Warehouse Architecture
- Lesson 3.3: Star Schema and Snowflake Schema
- Lesson 3.4: ETL Processes in Data Warehouses
- Lesson 3.5: Tools for Building Data Warehouses (e.g., Amazon Redshift, Google BigQuery)
- Lesson 3.6: Hands-on Project: Designing a Data Warehouse
Module 4: Data Integration and ETL (Week 6)
- Lesson 4.1: Data Integration Techniques
- Lesson 4.2: ETL vs. ELT
- Lesson 4.3: Popular ETL Tools (e.g., Apache NiFi, Talend)
- Lesson 4.4: Hands-on Project: Building an ETL Pipeline
Module 5: Data Governance, Security, and Compliance
- Lesson 5.1: Importance of Data Governance
- Lesson 5.2: Data Security Best Practices
- Lesson 5.3: Compliance and Legal Considerations (e.g., GDPR)
- Lesson 5.4: Implementing Data Governance Frameworks
Module 6: Data Querying and Analysis
- Lesson 6.1: Query Languages (e.g., SQL, NoSQL)
- Lesson 6.2: Data Analysis Techniques
- Lesson 6.3: Reporting and Visualization Tools (e.g., Tableau, Power BI)
- Lesson 6.4: Hands-on Project: Data Analysis and Reporting
International Student Fees: USD950$
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Flexible Class Options
- Week End Classes For Professionals SAT | SUN
- Corporate Group Training Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
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