Deep Learning Cookbook: Practical Recipes To Get Started Quickly

Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way.class"tygh-content clearfix" style'-webkit-tap-highlight-color: transparent; color: rgb(102, 102, 102); font-family: "Open Sans"; font-size: 13px; background-color: rgb(255, 255, 255);'class"container-fluid content-grid" style"-webkit-tap-highlight-color: transparent; font-size: 13px; margin-right: auto; margin-bottom: 10px; margin-left: auto; padding-right: 0px; padding-left: 0px; width: 980px; background-color: rgb(255, 255, 255);"class"row-fluid " style"-webkit-tap-highlight-color: transparent; font-size: 13px; width: 980px;"class"span16 main-content" style"-webkit-tap-highlight-color: transparent; font-size: 13px; min-height: 1px; width: 980px;"class"row-fluid " style"-webkit-tap-highlight-color: transparent; font-size: 13px; width: 980px;"class"span11 main-content-grid" style"-webkit-tap-highlight-color: transparent; font-size: 13px; min-height: 1px; width: 770.266px;"class"ty-product-block ty-product-detail" style"-webkit-tap-highlight-color: transparent; font-size: 13px; margin-bottom: 2px; padding: 0px 10px 10px; position: relative;"class"cm-tabs-content ty-tabs__content clearfix" id"tabs_content" style"-webkit-tap-highlight-color: transparent; font-size: 13px; background-position: 0px 0px; background-repeat: repeat; background-attachment: scroll; background-color: rgb(255, 255, 255); clear: both; padding: 10px 0px 0px; margin-bottom: 10px;"class"ty-wysiwyg-content content-description" id"content_description" style"-webkit-tap-highlight-color: transparent; font-size: 13px; line-height: 24px;"style"-webkit-tap-highlight-color: transparent; font-size: 13px;" '-webkit-tap-highlight-color: transparent; font-family: "Amazon Ember", Arial, sans-serif; font-size: 13px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; padding: 0px; box-sizing: border-box; caret-color: rgb(51, 51, 51); text-size-adjust: auto;'Expanded from Tyler Akidaus popular blog posts ""Streaming 101"" and ""Streaming 102"", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. Youll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. '-webkit-tap-highlight-color: transparent; font-family: "Amazon Ember", Arial, sans-serif; font-size: 13px; margin-top: 0em; margin-bottom: 1em; margin-left: 1em; padding: 0px; box-sizing: border-box; caret-color: rgb(51, 51, 51); text-size-adjust: auto;'Youll explore: