Big Data Technologies
Apache Hadoop
Explore the core components of Hadoop, including HDFS, MapReduce, and YARN, for distributed storage and processing of large datasets.
Apache Spark
Learn about Spark's in-memory processing capabilities, its APIs (Scala, Python, Java, R), and how it accelerates big data analytics.
Apache Kafka
Understand Kafka's role as a distributed event streaming platform, essential for real-time data pipelines and stream processing.
NoSQL Databases
Discover various types of NoSQL databases (e.g., MongoDB, Cassandra, Redis) and their applications in handling unstructured and semi-structured data.
Data Lakes & Warehouses
Explore the concepts of data lakes and data warehouses, their differences, and best practices for data storage and management.
MLOps for Big Data
Learn how MLOps practices apply to big data scenarios, covering model deployment, monitoring, and lifecycle management.