Big Data and Analytics in the Cloud

Modern organizations generate massive volumes of data every second, but storing and processing this information requires the massive scalability of the cloud. Understanding how to leverage cloud infrastructure for big data is a critical skill for modern developers, analysts, and IT professionals. This text-based course guides you through the foundational concepts of cloud-based big data architectures. You will transition from understanding basic cloud storage to designing scalable data pipelines, processing streaming data in real time, and querying large datasets efficiently. What you'll learn: - Understand core big data concepts, including the volume, velocity, and variety of cloud-scale data - Explore modern data lakehouse architectures and cloud storage strategies for structured and unstructured data - Learn how to process high-velocity streaming data using cloud-native ingestion services - Build scalable batch processing pipelines using managed cloud frameworks like Spark and Hadoop - Query massive datasets efficiently using serverless SQL query engines - Apply best practices for data security, governance, and cost optimization in the cloud Starting with fundamental definitions of big data and cloud infrastructure, the course progresses through practical architectural patterns, batch and stream processing techniques, and modern analytics workflows. This course is designed for beginners, developers, and data enthusiasts looking to enter the world of cloud data engineering without requiring prior cloud experience. Start reading today to unlock the power of cloud-scale data analytics.