Making Sense Of Stream Processing Book

Making Sense of Stream Processing

The Handbook of Banking Technology

Competitive advantage in banking comes from effective use of technology The Handbook of Banking Technology provides a blueprint for the future of banking, with deep insight into the technologies at the heart of the industry. The rapid evolution of IT brings continual change and demand for investment — yet keeping pace with these changes has become an essential part of doing business. This book describes how banks can harness the power of current and upcoming technology to add business value and gain a competitive advantage; you'll learn how banks are using technology to drive business today, and which emerging trends are likely to drive the evolution of banking over the next decade. Regulation is playing an ever increasing role in banking and the impact of regulatory change on technology and the management of it are discussed — while mandatory changes put pressure on many of our high street banking brands, their ability to adapt and utilise technology will have a fundamental impact on their success in the rapidly changing marketplace. Technology costs can amount to 15 per cent or more of operational costs and bank leaders need to be able to make informed decisions about technology investments in light of the potential benefits. This book explores the depth and breadth of banking technology to help decision makers stay up to date and drive better business. Assess your current technology against the new banking paradigms Procure the systems needed to protect the bottom line Implement newer technology more efficiently and effectively Ensure compliance and drive value with appropriate technology management Technological change is driven by mass adoption of new channels, innovation from new entrants, and by banks themselves as a means of increasing revenue and reducing costs. The Handbook of Banking Technology offers a comprehensive look at the role of technology in banking, and the impact it will have in the coming years.

Stream Processing with Apache Spark

Before you can build analytics tools to gain quick insights, you first need to know how to process data in real time. With this practical guide, developers familiar with Apache Spark will learn how to put this in-memory framework to use for streaming data. You’ll discover how Spark enables you to write streaming jobs in almost the same way you write batch jobs. Authors Gerard Maas and François Garillot help you explore the theoretical underpinnings of Apache Spark. This comprehensive guide features two sections that compare and contrast the streaming APIs Spark now supports: the original Spark Streaming library and the newer Structured Streaming API. Learn fundamental stream processing concepts and examine different streaming architectures Explore Structured Streaming through practical examples; learn different aspects of stream processing in detail Create and operate streaming jobs and applications with Spark Streaming; integrate Spark Streaming with other Spark APIs Learn advanced Spark Streaming techniques, including approximation algorithms and machine learning algorithms Compare Apache Spark to other stream processing projects, including Apache Storm, Apache Flink, and Apache Kafka Streams