Why this course?

Description

📦 Database (4 Courses)

Modern data-driven applications rely on powerful databases and storage engines that can handle big data, real-time analytics, and complex workloads. As a data engineer, mastering the right set of databases is critical to building scalable, high-performance data pipelines and applications.

This Database Bundle (4 Courses) brings together four in-demand database technologies — each designed for specific big data and analytics use cases. Through hands-on projects and step-by-step guidance, you’ll gain practical skills to manage, process, and analyze large-scale data using Cassandra, Delta Lake, AsterixDB, and Druid.

By the end of this bundle, you will have a strong foundation in NoSQL, big data management systems, lakehouse architectures, and real-time OLAP databases — essential tools in the modern data engineer’s toolkit.

 

🚀 What You’ll Learn

Across these 4 courses, you will:

1) Apache Cassandra for Data Engineers

• Learn about NoSQL database concepts and Cassandra’s distributed architecture.
• Work with data modeling, replication, partitioning, and consistency levels.
• Understand how Cassandra is used for highly available, scalable applications.

2) Delta Lake with Apache Spark (Scala)

• Master Delta Lake, the storage layer that brings reliability to data lakes.
• Learn how to implement ACID transactions, schema evolution, and time travel in Spark.
• Build scalable data pipelines and understand the lakehouse architecture.

3) Apache AsterixDB for Beginners

• Explore AsterixDB, an open-source Big Data Management System (BDMS).
• Learn about its data model (ADM), query language (SQL++), and indexing features.
• Work with semi-structured datasets and understand how AsterixDB handles diverse workloads.

4) Apache Druid for Data Engineers (Hands-On)

• Get hands-on with Apache Druid, a high-performance real-time analytics database.
• Learn ingestion, aggregation, and OLAP-style queries for interactive analytics.
• Use Druid to build dashboards and power low-latency, high-scale applications.

 

📚 Courses Included in the Bundle

1) Apache Cassandra for Data Engineers

A complete guide to NoSQL and Cassandra’s distributed database system.

2) Delta Lake with Apache Spark using Scala

Learn to build reliable and scalable data lakes using Delta Lake on top of Spark.

3) Apache AsterixDB for Beginners (Big Data Management System)

Beginner-friendly course on working with AsterixDB, ADM, and SQL++ queries.

4) Apache Druid for Data Engineers (Hands-On)

Hands-on analytics project using Apache Druid for real-time, large-scale data.

 

🎯 Who This Bundle Is For

• Data Engineers & Data Architects: Looking to master multiple modern databases for real-world applications.
• Big Data & Analytics Professionals: Wanting to learn technologies used for large-scale data storage, pipelines, and interactive analytics.
• Students & Beginners: Interested in learning database technologies beyond traditional RDBMS.
• Working Professionals: Upskilling in NoSQL, Lakehouse, and OLAP databases to advance their careers.
• Anyone Preparing for Data Engineering Interviews: Gain exposure to multiple database systems often discussed in interviews.

 

🛠 Requirements

• Basic understanding of databases (SQL or NoSQL).
• Familiarity with data engineering concepts is helpful but not mandatory.
• Interest in working with large-scale data systems.
• All tools, datasets, and environments will be explained and provided.

 

✅ Why Take This Bundle?

Unlike traditional database courses that focus on just one technology, this bundle gives you a well-rounded learning path across four modern data platforms:

• Cassandra for scalable NoSQL workloads.
• Delta Lake for building reliable data lakes and lakehouses.
• AsterixDB for flexible big data management and semi-structured data.
• Druid for lightning-fast, real-time analytics.

By completing this bundle, you’ll have the practical knowledge and hands-on project experience to work confidently with today’s most important big data database systems.