Course Outline

Module 1: Streaming Overview

  • Distinguishing between batch and streaming processes
  • Use cases for Streaming Data Management in government operations
  • Overview of streaming architecture for government applications
  • Kappa architecture for efficient data processing
  • Comprehensive End-to-End Streaming Data Management solutions for government
  • Types of streaming data relevant to public sector operations
  • Advantages of implementing streaming technologies for government

Module 2: Edge Data Streaming (EDS) Overview

  • Architecture of Edge Data Streaming (EDS)
  • Key features of EDS for enhancing data management in government
  • Data flow process within the EDS framework
  • User interface design for EDS
  • Steps to create an EDS service for government use
  • Creating a data flow within EDS for government applications
  • Deploying a data flow in EDS for government operations
  • Monitoring the performance of data flows in EDS for government
  • Lab1: Creating an Edge Data Streaming Service for government use
  • Lab2: Creating and deploying a data flow within EDS for government applications

Module 3: Big Data Streaming Overview

  • Overview of Big Data Streaming in the context of government operations
  • Stream data processing using Spark streaming for government
  • Component architecture of Big Data Streaming (BDS) for government applications
  • Key features of BDS to support government data management needs

Module 4: Kafka Overview

  • Fundamental concepts of Apache Kafka for government use
  • Kafka core APIs and their application in government data streams
  • Understanding topics in Kafka for efficient data distribution in government
  • Kafka models and their relevance to government data processing
  • Use cases of Kafka in government operations
  • Lab: Creating a Kafka connection for government applications

Module 5: Streaming Mappings

  • Sources used in streaming mappings for government data streams
  • Targets in streaming mappings for government data processing
  • Lookup sources for enhancing data integrity in government streams
  • Kafka Data Object Properties for optimizing government data flows
  • Lab: Creating a mapping with Kafka source and HDFS target for government
  • Lab: Creating a mapping with Kafka source and Kafka target for government applications
  • BDS transformations to enhance data processing in government streams
  • Lab: Enhancing mappings using filter and expression transformations for government use
  • Lab: Enhancing mappings using window and aggregator transformations for government applications
  • Lab: Enhancing mappings using sorter and rank transformations for government operations

Module 6: Monitoring Logs and Troubleshooting

  • Monitoring Spark jobs for performance in government data streams
  • Viewing logs to ensure data integrity in government applications
  • Troubleshooting common issues in government data streaming operations
  • Lab: Monitoring an EDS data flow for government use
  • Lab: Monitoring a BDS mapping for government applications

Module 7: Performance Tuning and Best Practices

  • Tuning the performance of Spark jobs in government data streams
  • Best practices for working with streaming data in government operations

Module 8: End-to-End Use Case

  • Detailed use case for implementing streaming data solutions in government
  • Final goals of integrating EDS and BDS in government applications
  • Lab: Converting unstructured streaming data into structured data for government use
  • Lab: Ingesting data from EDS to BDS and executing a mapping in BDS for government operations

Requirements

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 14 Hours

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