Why this course?

Description

📦 Big Data Technologies (3 Courses)

The Big Data ecosystem is built on powerful technologies that allow organizations to store, process, and analyze massive datasets efficiently. For anyone starting a career in data engineering or big data analytics, it’s essential to gain strong foundations in Hadoop, Hive, and Linux — the core building blocks of big data infrastructure.

This Big Data Technologies Bundle (3 Courses) is designed to provide a hands-on, beginner-friendly path into the world of Big Data. Through practical exercises and real-world projects, you’ll learn how to use Hadoop for distributed storage and processing, Hive for data warehousing and analytics, and Linux for system operations.

By the end of this bundle, you’ll have the technical skills and confidence to work with fundamental Big Data technologies that power modern data platforms.

 

🚀 What You’ll Learn

Across these 3 courses, you will:

1) Learn Big Data Hadoop (Hands-On for Beginner)

• Understand the basics of HDFS (Hadoop Distributed File System) and how it stores large datasets across clusters.
• Explore MapReduce and learn how distributed data processing works.
• Gain confidence in setting up and using Hadoop in real-world scenarios.

2) Apache Hive for Data Engineers (Hands-On with 2 Projects)

• Learn Hive architecture, query language (HiveQL), and integration with Hadoop.
• Perform data analysis, partitioning, bucketing, and optimization in Hive.
• Work on two real-world projects to apply Hive concepts in analytics workflows.

3) Linux for Data Engineers (Hands-On)

• Master the Linux environment, which is essential for working with Hadoop, Spark, and other big data tools.
• Learn file management, permissions, shell scripting, and command-line operations.
• Develop the practical skills to navigate, automate, and manage Linux systems for data engineering tasks.

 

📚 Courses Included in the Bundle

1) Learn Big Data Hadoop: Hands-On for Beginner

• A beginner-friendly course to understand Hadoop’s architecture and core components.

2) Apache Hive for Data Engineers (Hands-On) with 2 Projects

• Real-world projects to practice HiveQL, data warehousing, and analytics with Hive.

3) Linux for Data Engineers (Hands-On)

• A foundational Linux course designed for aspiring data engineers.

 

🎯 Who This Bundle Is For

• Aspiring Data Engineers & Big Data Beginners: Wanting to start a career in Big Data with hands-on training.
• Students & Learners: Looking for an easy-to-follow, project-driven introduction to Hadoop, Hive, and Linux.
• Working Professionals: Upskilling to meet the demands of modern data engineering roles.
• Job Seekers: Preparing for interviews where Hadoop, Hive, and Linux are frequently discussed.
• Anyone Curious About Big Data: Who wants to understand the foundational technologies powering today’s analytics.

 

🛠 Requirements

• No prior experience in Hadoop or Hive is required.
• Basic understanding of SQL and databases will be helpful.
• Familiarity with any programming language (Python, Java, or Scala) is an advantage but not mandatory.
• All tools, commands, and datasets are explained step-by-step.

 

✅ Why Take This Bundle?

This bundle gives you practical, hands-on training in three of the most important technologies for data engineers:

• Hadoop for distributed data storage and processing.
• Hive for analytics and data warehousing on Hadoop.
• Linux for system-level operations and automation.

Instead of learning these tools in isolation, you’ll see how they work together in real-world data engineering workflows. By completing this bundle, you’ll be ready to build a strong foundation in Big Data technologies and take your next step toward advanced tools like Spark, Kafka, and cloud-based big data platforms.