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Duration 2 Days 12 CPD hours This course is intended for This in an Introductory and beyond level course is geared for experienced Java developers seeking to be proficient in Apache Kafka. Attendees should be experienced developers who are comfortable with Java, and have reasonable experience working with databases. Overview Working in a hands-on learning environment, students will explore Overview of Streaming technologies Kafka concepts and architecture Programming using Kafka API Kafka Streams Monitoring Kafka Tuning / Troubleshooting Kafka Apache Kafka is a real-time data pipeline processor. It high-scalability, fault tolerance, execution speed, and fluid integrations are some of the key hallmarks that make it an integral part of many Enterprise Data architectures. In this lab intensive two day course, students will learn how to use Kafka to build streaming solutions. Introduction to Streaming Systems Fast data Streaming architecture Lambda architecture Message queues Streaming processors Introduction to Kafka Architecture Comparing Kafka with other queue systems (JMS / MQ) Kaka concepts : Messages, Topics, Partitions, Brokers, Producers, commit logs Kafka & Zookeeper Producing messages Consuming messages (Consumers, Consumer Groups) Message retention Scaling Kafka Programming With Kafka Configuration parameters Producer API (Sending messages to Kafka) Consumer API (consuming messages from Kafka) Commits , Offsets, Seeking Schema with Avro Kafka Streams Streams overview and architecture Streams use cases and comparison with other platforms Learning Kafka Streaming concepts (KStream, KTable, KStore) KStreaming operations (transformations, filters, joins, aggregations) Administering Kafka Hardware / Software requirements Deploying Kafka Configuration of brokers / topics / partitions / producers / consumers Security: How secure Kafka cluster, and secure client communications (SASL, Kerberos) Monitoring : monitoring tools Capacity Planning : estimating usage and demand Trouble shooting : failure scenarios and recovery Monitoring and Instrumenting Kafka Monitoring Kafka Instrumenting with Metrics library Instrument Kafka applications and monitor their performance
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Use Fast Feedback to Accelerate Business Agility w/ David Grabel Software engineers get feedback from their development environment and automated test suites in real-time. Errors can be fixed and verified in minutes. However, when organizations extend Agile beyond technology, feedback from stakeholders takes days and the 'feedback frenzies' can drag on for weeks or even months. Completing a story within a sprint seems impossible. It is time for 'the business' to dramatically reduce lead time and stop getting blamed for delays. This talk will show you how to quickly create a value stream mapping with your team. This map will expose needless delays and help you find ways to shorten cycle time to minutes, reducing overall lead time by 80% or more. It will include a way to overlay feedback loops on the value stream map, which can help you find the source of significant delays. You will also hear how creative teams are adapting mob programming techniques into their work in ways that build feedback into their processes in order to accelerate delivery from business teams. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Use Fast Feedback to Accelerate Business Agility w/ David Grabel Software engineers get feedback from their development environment and automated test suites in real-time. Errors can be fixed and verified in minutes. However, when organizations extend Agile beyond technology, feedback from stakeholders takes days and the 'feedback frenzies' can drag on for weeks or even months. Completing a story within a sprint seems impossible. It is time for 'the business' to dramatically reduce lead time and stop getting blamed for delays. This talk will show you how to quickly create a value stream mapping with your team. This map will expose needless delays and help you find ways to shorten cycle time to minutes, reducing overall lead time by 80% or more. It will include a way to overlay feedback loops on the value stream map, which can help you find the source of significant delays. You will also hear how creative teams are adapting mob programming techniques into their work in ways that build feedback into their processes in order to accelerate delivery from business teams. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Explore data connectivity and streamline workflows by mastering integrating Salesforce with external systems. Discover a range of tools and techniques to seamlessly connect Salesforce with external apps. Understand concepts such as Auth Providers/Named Credentials, HTTP callouts, and OpenAPI 3.0, and achieve robust integrations without coding.