Tzoumas, Kostas
(author)
Introduction to Apache Flink ebook
139,89 DKK
Theres growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do welluntil now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range…
Theres growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do welluntil now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.Authors Ellen Friedman and Kostas Tzoumas show technical and nontechnical readers alike how Flink is engineered to overcome significant tradeoffs that have limited the effectiveness of other approaches to stream processing. Youll also learn how Flink has the ability to handle both stream and batch data processing with one technology.Learn the consequences of not doing streaming wellin retail and marketing, IoT, telecom, and banking and financeExplore how to design data architecture to gain the best advantage from stream processingGet an overview of Flinks capabilities and features, along with examples of how companies use Flink, including in productionTake a technical dive into Flink, and learn how it handles time and stateful computationExamine how Flink processes both streaming (unbounded) and batch (bounded) data without sacrificing performance
Ebook
139,89 DKK
Publisher
O'Reilly Media
Published
19.10.2016
Length
110 pages
Genres
Information technology: general topics
Language
English
Format
pdf
DRM
LCP
ISBN
9781491977163
Theres growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do welluntil now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.Authors Ellen Friedman and Kostas Tzoumas show technical and nontechnical readers alike how Flink is engineered to overcome significant tradeoffs that have limited the effectiveness of other approaches to stream processing. Youll also learn how Flink has the ability to handle both stream and batch data processing with one technology.Learn the consequences of not doing streaming wellin retail and marketing, IoT, telecom, and banking and financeExplore how to design data architecture to gain the best advantage from stream processingGet an overview of Flinks capabilities and features, along with examples of how companies use Flink, including in productionTake a technical dive into Flink, and learn how it handles time and stateful computationExamine how Flink processes both streaming (unbounded) and batch (bounded) data without sacrificing performance
English