IBM: Big Data, Hadoop, and Spark Basics

Embark on an exciting journey into the world of Big Data with this comprehensive course that introduces you to cutting-edge concepts and practices in data processing and analysis. Designed for aspiring data professionals and curious learners alike, this course offers a deep dive into the realm of Big Data, exploring its characteristics, benefits, and challenges. You'll gain hands-on experience with powerful tools like Hadoop, Hive, and Apache Spark, learning how these technologies can revolutionize the way organizations handle and extract value from massive datasets.

What students will learn from the course:

• Understanding of Big Data concepts and their impact on businesses
• Knowledge of Hadoop architecture and ecosystem
• Proficiency in Apache Spark programming basics
• Skills in parallel processing and distributed computing
• Ability to work with DataFrames, datasets, and SparkSQL
• Practical experience with PySpark and Spark Streaming
• Insights into Big Data processing tools and their applications
• Knowledge of Spark's development and runtime environment options
• Skills in monitoring and tuning Apache Spark applications

Pre-requisites or skills necessary to complete the course:

• Basic computer and IT literacy
• Curiosity about data management
• No prior experience with Big Data technologies is required

What the course will cover:

• Introduction to Big Data concepts and impact
• Hadoop ecosystem and architecture
• Apache Spark fundamentals and programming
• Parallel processing and distributed computing
• DataFrames and SparkSQL
• Resilient Distributed Datasets (RDDs)
• Spark development and runtime environments
• Monitoring and tuning Apache Spark applications
• Practical labs and hands-on exercises

Who this course is for:

This course is ideal for:

• Aspiring data engineers and analysts
• IT professionals looking to expand their skill set
• Business analysts interested in Big Data technologies
• Students pursuing careers in data science or computer science
• Anyone curious about the potential of Big Data in modern organizations

How learners can use these skills in the real world:

The skills acquired in this course are highly valuable in today's data-driven world. Learners can apply their knowledge to:

• Develop Big Data solutions for businesses
• Analyze large datasets to extract meaningful insights
• Optimize data processing workflows in organizations
• Contribute to data-driven decision-making processes
• Implement scalable data processing systems
• Enhance data storage and retrieval efficiency
• Develop streaming analytics applications for real-time data processing

Syllabus:

Each module includes lectures, hands-on labs, and practical examples to reinforce learning and provide real-world application of concepts.