Basic familiarity with Linux commands and a Java environment is recommended.Understanding relational databases helps, but prior NoSQL ...
Cassandra uses a decentralized peer-to-peer architecture for high availability.It excels at write-heavy workloads and multi-datacenter ...
Course covers cluster setup, replication strategies, and monitoring via nodetool.Hands-on exercises include performance tuning, compaction, ...
Basic integration with Spark is introduced for analytics and ETL tasks.Kafka or real-time streaming integrations are not deeply covered....
Dedicate 5–10 hours per week for hands-on labs and module completion.Set up a local or Docker-based Cassandra environment for practice outside ...
The course is beginner-level but assumes familiarity with Python and SQL.Understanding basic distributed computing concepts helps grasp RDDs ...
Each module includes practical exercises using RDDs, DataFrames, and SQL.Hands-on ETL pipelines, machine learning with MLlib, and optimization ...
PySpark is widely used for scalable data processing in finance, e-commerce, telecom, and IoT.Skills in RDDs, DataFrames, and MLlib are core to ...
The course primarily focuses on batch processing using RDDs, DataFrames, and Spark SQL.Structured Streaming is not extensively covered, so ...
Dedicate consistent weekly hours (5–10 hours) for modules and exercises.Focus on hands-on practice to reinforce theoretical concepts.Use ...
