Building Kafka Solutions with Confluent Training Course

This instructor-led, live training in US (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc., specifically for government projects. By the end of this training, participants will be able to: - Utilize Kafka Connect to efficiently ingest large volumes of data from a database into Kafka topics. - Integrate log data generated by application servers into Kafka topics. - Ensure that any collected data is readily available for stream processing. - Export data from Kafka topics into secondary systems for storage and analysis, enhancing data management capabilities for government operations.

This training program is designed to equip participants with the skills necessary to implement end-to-end big data streaming use cases for government. It focuses on real-time data preparation and maintenance using Informatica, Edge, Kafka, and Spark. The curriculum covers software versions 10.2.1 and later, ensuring that attendees are well-versed in the latest tools and techniques essential for efficient data management and processing in a governmental context.

Apache Kafka is a distributed streaming platform that has become the de facto standard for constructing data pipelines. It addresses a wide array of use cases related to data processing, including its function as a message queue, distributed log, and stream processor. This overview will begin with an exploration of the theoretical foundations of data pipelines in general, followed by a detailed examination of the core concepts underlying Kafka. Additionally, we will delve into key components such as Kafka Streams and Kafka Connect, which are essential for government agencies and other organizations looking to leverage advanced data processing capabilities.

In this instructor-led, live training in US (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems and related software applications and microservices for government. By the end of this training, participants will be able to: - Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streams. - Understand and select the most appropriate framework for specific tasks. - Process data continuously, concurrently, and on a record-by-record basis. - Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, etc., ensuring seamless integration within government systems. - Choose and integrate the most suitable stream processing library with enterprise applications and microservices for government.

This course is designed for government enterprise architects, developers, system administrators, and other professionals seeking to understand and utilize a high-throughput distributed messaging system. The content can be customized to address specific requirements, such as focusing solely on the system administration aspects, to better align with the unique needs of your agency or department.

This instructor-led, live training (available online or onsite) is designed for system administrators who wish to set up, deploy, manage, and optimize an enterprise-grade Kafka cluster for government use. By the end of this training, participants will be able to: - Set up and administer a Kafka Cluster. - Evaluate the benefits and disadvantages of deploying Kafka on-premise versus in the cloud. - Deploy and monitor Kafka using various tools suitable for both on-premise and cloud environments.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level developers who wish to develop big data applications with Apache Kafka for government. By the end of this training, participants will be able to: - Develop Kafka producers and consumers to send and read data from Kafka. - Integrate Kafka with external systems using Kafka Connect. - Write streaming applications with Kafka Streams and ksqlDB. - Integrate a Kafka client application with Confluent Cloud for cloud-based Kafka deployments. - Gain practical experience through hands-on exercises and real-world use cases relevant to public sector workflows.

This instructor-led, live training in US (online or onsite) is aimed at data engineers, data scientists, and programmers who wish to leverage Apache Kafka features for data streaming with Python.

By the end of this training, participants will be able to utilize Apache Kafka to monitor and manage conditions in continuous data streams using Python programming, ensuring alignment with public sector workflows for government.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level system administrators who wish to effectively leverage Kafka's message queuing features. By the end of this training, participants will be able to: - Understand Kafka’s message queuing capabilities and architecture. - Configure Kafka topics for various message queuing scenarios. - Produce and consume messages using Kafka. - Monitor and manage Kafka as a message queue, ensuring optimal performance and reliability for government applications.

This instructor-led, live training in US (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application for government use. By the end of this training, participants will be able to: - Deploy Apache Kafka onto a cloud-based server. - Implement SSL encryption to prevent attacks. - Add ACL authentication to track and control user access. - Ensure credible clients have access to Kafka clusters using SSL and SASL authentication.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level developers who wish to learn the fundamentals of Apache Kafka and integrate it with Spring Boot for government applications. By the end of this training, participants will be able to: - Understand Kafka and its architecture. - Learn how to install, configure, and set up a basic Kafka environment. - Integrate Kafka with Spring Boot to enhance data processing capabilities for government workflows.

Kafka Streams is a client-side library designed for building applications and microservices that process data within the Kafka messaging system. Traditionally, Apache Kafka has relied on external systems like Apache Spark or Apache Storm for data processing between producers and consumers. By integrating the Kafka Streams API directly into an application, data can be processed efficiently within Kafka, eliminating the need to send it to a separate cluster. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into Java applications that handle data streaming to and from Apache Kafka. By the end of this training, participants will be able to: - Understand the features and advantages of Kafka Streams over other stream processing frameworks. - Process stream data directly within a Kafka cluster. - Develop a Java or Scala application or microservice that integrates with Kafka and Kafka Streams. - Write concise code to transform input Kafka topics into output Kafka topics. - Build, package, and deploy the application. **Audience** - Developers **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice **Notes** - To request a customized training for government or other organizations, please contact us to arrange.

This instructor-led, live training in [location] (online or onsite) is designed for government system administrators at the beginner to intermediate level who wish to learn how to effectively manage Kafka topics for efficient data streaming and processing. By the end of this training, participants will be able to: - Understand the fundamentals and architecture of Kafka topics. - Create, configure, and manage Kafka topics. - Monitor Kafka topics to ensure health, performance, and availability. - Implement security measures for government Kafka topics.

This instructor-led, live training in US (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for government. By the end of this training, participants will be able to: - Implement a data pipeline architecture suitable for processing large-scale data. - Develop a cluster infrastructure using Apache Mesos and Docker. - Analyze data effectively with Spark and Scala. - Manage unstructured data efficiently with Apache Cassandra.

This instructor-led, live training (conducted either online or on-site) is designed for government developers who wish to transform traditional architecture into a highly concurrent microservices-based architecture using Spring Cloud, Kafka, Docker, Kubernetes, and Redis. By the end of this training, participants will be able to: - Set up the necessary development environment for building microservices for government. - Design and implement a highly concurrent microservices ecosystem using Spring Cloud, Kafka, Redis, Docker, and Kubernetes. - Transform monolithic and SOA services into microservice-based architecture. - Adopt a DevOps approach to developing, testing, and releasing software for government applications. - Ensure high concurrency among microservices in production environments. - Monitor microservices and implement recovery strategies for optimal performance. - Conduct performance tuning to meet the stringent demands of public sector workflows. - Gain insights into future trends in microservices architecture relevant to government operations.