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Module 1: Big Data with Apache-Kafka

• Historical perspective and development?.
• Kafka CLI.
• CLI-Topics.
• CLI-Producer.
• CLI-Consumer/Consumer-groups
• CLI-Reset-offsets/CLI-Kafka-tools

Module 3: Structures of Apache-Kafka Building Blocks

• Apache-Kafka syntax.
• Data Pipelines
• Program Flow/Java or Scala or Python

Module 3: Data Cluster /Apache-Kafka Program Flow

• Kafka CLI's.
• Producers/Consumers
• UseCases of Cross-Cluster Mirroring
• Introduction to Loops, Loops with No
• Declaring Loop Control Variables Inside the For Loop,While Loop, Do-While Loop

Module 4: Kafka API's

• APIs-Consumers
• API for Producers
• Garbage Collections

Module 5: Advance Architecture for future Design of Apache-Kafka

• Kafka Algorithms for quick detections.
• Multi-Cluster partioning
• Algorithm design for speed with Kafka

Module 6: Multi-Cluster Architecture

• Apache-Kafka and References and Subclass Objects.
• Multilevel Hierarchy
• Composition vs inheritance
• Multiple Inheritance

Module 7: Exception Handling

• How use Try and Catch.
• Handle Errors Gracefully
• Throw Statement and Throwables
• Exceptions and Exception handlings,Exception Subclasses
• Multi-Catch and Final Rethrow

Module 8: Apache-Kafka as Streaming tool

• Streams, Readers, and Writers.
• Byte and Character Streams
• Reading Console Input
• Reading and Writing Files, Binary data
• File I/O Using Character Streams
• Constructing a BufferedReader/FileReader