Dave Klein

Once Ed Buck, sports reporter, and Adam Benson, star quarterback for the Chicago Bears, played football on the same college team. Years later, they are still close friends. In New York for a game against the Giants, Benson hands Buck the biggest story of his career. Gambling on football is one of the country's leading "industries," and the mob's been forcing Benson to throw games. The quarterback has had enough. Sunday, he tells Buck, he's playing to win, and to hell with the mob. After the game, Buck can run with the story. Adam Benson never makes it off the field alive, and Ed Buck suspects his friend was murdered. Buck knows barely enough to convince a police detective to look into Benson's death--but more than enough to set the mob on his tail. As Lt. Gerry Keegan probes the tangled connections between the dead quarterback and the head of an organized crime family, uncovering drug dealing, murder, blackmail, prostitution, and double- and triple-crosses, Ed Buck and his fiancee run for their lives. At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.

Fourth Down

Dylan Scott

Viktor Gamov

Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects. In Kafka in Action you will learn: Understanding Apache Kafka concepts Setting up and executing basic ETL tasks using Kafka Connect Using Kafka as part of a large data project team Performing administrative tasks Producing and consuming event streams Working with Kafka from Java applications Implementing Kafka as a message queue Kafka in Action is a fast-paced introduction to every aspect of working with Apache Kafka. Starting with an overview of Kafka's core concepts, you'll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you’ll soon be ready to use Kafka in your day-to-day workflow, and start digging into even more advanced Kafka topics. About the technology Think of Apache Kafka as a high performance software bus that facilitates event streaming, logging, analytics, and other data pipeline tasks. With Kafka, you can easily build features like operational data monitoring and large-scale event processing into both large and small-scale applications. About the book Kafka in Action introduces the core features of Kafka, along with relevant examples of how to use it in real applications. In it, you’ll explore the most common use cases such as logging and managing streaming data. When you’re done, you’ll be ready to handle both basic developer- and admin-based tasks in a Kafka-focused team. What's inside Kafka as an event streaming platform Kafka producers and consumers from Java applications Kafka as part of a large data project About the reader For intermediate Java developers or data engineers. No prior knowledge of Kafka required. About the author Dylan Scott is a software developer in the insurance industry. Viktor Gamov is a Kafka-focused developer advocate. At Confluent, Dave Klein helps developers, teams, and enterprises harness the power of event streaming with Apache Kafka. Table of Contents PART 1 GETTING STARTED 1 Introduction to Kafka 2 Getting to know Kafka PART 2 APPLYING KAFK 3 Designing a Kafka project 4 Producers: Sourcing data 5 Consumers: Unlocking data 6 Brokers 7 Topics and partitions 8 Kafka storage 9 Management: Tools and logging PART 3 GOING FURTHER 10 Protecting Kafka 11 Schema registry 12 Stream processing with Kafka Streams and ksqlDB

Kafka in Action

Margaret C. Klein

This work gives the dates of birth and death and frequently specifying the family relationships of approximately 1,500 persons. The recorded inscriptions are limited, by and large, to persons who either died before 1900 or were born before 1850.

Dave Klein

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