Böcker av Mitch Seymour

Learn about different storage technologies, including OpenSearch, Redshift, Kinesis, and S3, through the eyes of cute woodland creatures.A young fox family copes with the increasing pickiness of their kits' eating habits. In the process, they discover a clever approach to searching for food.Using an art style inspired by Winnie the Pooh, readers of all ages will learn about the following OpenSearch concepts:AnalyzersAnalyzer chainsColumnsData lakesData warehousesDistributed systemsFull table scansIndexesInverted IndexesOpenSearchRelational storageRowsStemmingStop wordsStreamsStructured dataTablesTermsTokensUnstructured data

Learn about the basics of cloud computing through the eyes of a little otter who, with the help of a clouded leopard, searches for an easier life in The Cloud. With hand-drawn imagery that was inspired by Winnie the Pooh, and gentle storytelling that is meant to be both playful and educational, readers of all ages will walk away with memorable explanations of key concepts, including: multi-cloud, public/private/hybrid clouds, fully-managed environments, elastic scalability, and more.

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing.Learn the basics of Kafka and the pub/sub communication patternBuild stateless and stateful stream processing applications using Kafka Streams and ksqlDBPerform advanced stateful operations, including windowed joins and aggregationsUnderstand how stateful processing works under the hoodLearn about ksqlDB's data integration features, powered by Kafka ConnectWork with different types of collections in ksqlDB and perform push and pull queriesDeploy your Kafka Streams and ksqlDB applications to production