Fast Data Processing Systems With Smack Stack

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Fast Data Processing Systems with SMACK Stack

Raul Estrada
Fast Data Processing Systems with SMACK Stack Book PDF

Author : Raul Estrada
Publisher : Packt Publishing Ltd
Page : 371 pages
File Size : 42,7 Mb
Release : 2016-12-22
Category : Computers
ISBN : 9781786468062

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Fast Data Processing Systems with SMACK Stack by Raul Estrada Pdf

Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles! About This Book This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures Use this easy-to-follow guide to build fast data processing systems for your organization Who This Book Is For If you are a developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the correct technology in every layer, this book is what you are looking for. What You Will Learn Design and implement a fast data Pipeline architecture Think and solve programming challenges in a functional way with Scala Learn to use Akka, the actors model implementation for the JVM Make on memory processing and data analysis with Spark to solve modern business demands Build a powerful and effective cluster infrastructure with Mesos and Docker Manage and consume unstructured and No-SQL data sources with Cassandra Consume and produce messages in a massive way with Kafka In Detail SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical guide will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing. We'll start off with an introduction to SMACK and show you when to use it. First you'll get to grips with functional thinking and problem solving using Scala. Next you'll come to understand the Akka architecture. Then you'll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you'll learn how to perform linear scalability in databases with Apache Cassandra. You'll grasp the high throughput distributed messaging systems using Apache Kafka. We'll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspect of SMACK using a few case studies. By the end of the book, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing. Style and approach With the help of various industry examples, you will learn about the full stack of big data architecture, taking the important aspects in every technology. You will learn how to integrate the technologies to build effective systems rather than getting incomplete information on single technologies. You will learn how various open source technologies can be used to build cheap and fast data processing systems with the help of various industry examples

Big Data SMACK

Raul Estrada,Isaac Ruiz
Big Data SMACK Book PDF

Author : Raul Estrada,Isaac Ruiz
Publisher : Apress
Page : 277 pages
File Size : 42,8 Mb
Release : 2016-09-29
Category : Computers
ISBN : 9781484221754

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Big Data SMACK by Raul Estrada,Isaac Ruiz Pdf

Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses. Big Data SMACK explains each of the full-stack technologies and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer: The language: Scala The engine: Spark (SQL, MLib, Streaming, GraphX) The container: Mesos, Docker The view: Akka The storage: Cassandra The message broker: Kafka What You Will Learn: Make big data architecture without using complex Greek letter architectures Build a cheap but effective cluster infrastructure Make queries, reports, and graphs that business demands Manage and exploit unstructured and No-SQL data sources Use tools to monitor the performance of your architecture Integrate all technologies and decide which ones replace and which ones reinforce Who This Book Is For: Developers, data architects, and data scientists looking to integrate the most successful big data open stack architecture and to choose the correct technology in every layer

New Trends in Databases and Information Systems

András Benczúr,Bernhard Thalheim,Tomáš Horváth,Silvia Chiusano,Tania Cerquitelli,Csaba Sidló,Peter Z. Revesz
New Trends in Databases and Information Systems Book PDF

Author : András Benczúr,Bernhard Thalheim,Tomáš Horváth,Silvia Chiusano,Tania Cerquitelli,Csaba Sidló,Peter Z. Revesz
Publisher : Springer
Page : 433 pages
File Size : 46,9 Mb
Release : 2018-08-30
Category : Computers
ISBN : 9783030000639

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New Trends in Databases and Information Systems by András Benczúr,Bernhard Thalheim,Tomáš Horváth,Silvia Chiusano,Tania Cerquitelli,Csaba Sidló,Peter Z. Revesz Pdf

This book constitutes the thoroughly refereed short papers, workshops and doctoral consortium papers of the 22th European Conference on Advances in Databases and Information Systems, ADBIS 2018, held in Budapest, Hungary, in September 2018. The 20 full and the 4 short workshop papers as well as the 3 doctoral consortium papers were carefully reviewed and selected from 54 submissions to the workshops and 6 submissions to the doctoral consortium. Furthermore, there are 10 short papers included, which were accepted for the main conference. The papers are organized according to the 6 workshops and the doctoral consortium: ADBIS 2018 short papers; First Workshop on Advances on Big Data Management, Analytics, Data Privacy and Security, BigDataMAPS 2018; First International Workshop on New Frontiers on Meta-data Management and Usage, M2U 2018; First Citizen Science Applications and Citizen Databases Workshop, CSADB 2018; First International Workshop on Articial Intelligence for Question Answering, AI*QA 2018; First International Workshop on BIG Data Storage, Processing and Mining for Personalized MEDicine, BIGPMED 2018; First Workshop on Current Trends in Contemporary Information Systems and Their Architectures, ISTREND 2018; Doctoral Consortium.

Apache Kafka Quick Start Guide

Raúl Estrada
Apache Kafka Quick Start Guide Book PDF

Author : Raúl Estrada
Publisher : Packt Publishing Ltd
Page : 180 pages
File Size : 40,5 Mb
Release : 2018-12-27
Category : Computers
ISBN : 9781788992251

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Apache Kafka Quick Start Guide by Raúl Estrada Pdf

Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.0 Key FeaturesSolve practical large data and processing challenges with KafkaTackle data processing challenges like late events, windowing, and watermarkingUnderstand real-time streaming applications processing using Schema registry, Kafka connect, Kafka streams, and KSQLBook Description Apache Kafka is a great open source platform for handling your real-time data pipeline to ensure high-speed filtering and pattern matching on the fly. In this book, you will learn how to use Apache Kafka for efficient processing of distributed applications and will get familiar with solving everyday problems in fast data and processing pipelines. This book focuses on programming rather than the configuration management of Kafka clusters or DevOps. It starts off with the installation and setting up the development environment, before quickly moving on to performing fundamental messaging operations such as validation and enrichment. Here you will learn about message composition with pure Kafka API and Kafka Streams. You will look into the transformation of messages in different formats, such asext, binary, XML, JSON, and AVRO. Next, you will learn how to expose the schemas contained in Kafka with the Schema Registry. You will then learn how to work with all relevant connectors with Kafka Connect. While working with Kafka Streams, you will perform various interesting operations on streams, such as windowing, joins, and aggregations. Finally, through KSQL, you will learn how to retrieve, insert, modify, and delete data streams, and how to manipulate watermarks and windows. What you will learnHow to validate data with KafkaAdd information to existing data flowsGenerate new information through message compositionPerform data validation and versioning with the Schema RegistryHow to perform message Serialization and DeserializationHow to perform message Serialization and DeserializationProcess data streams with Kafka StreamsUnderstand the duality between tables and streams with KSQLWho this book is for This book is for developers who want to quickly master the practical concepts behind Apache Kafka. The audience need not have come across Apache Kafka previously; however, a familiarity of Java or any JVM language will be helpful in understanding the code in this book.

Database and Expert Systems Applications

Mourad Elloumi,Michael Granitzer,Abdelkader Hameurlain,Christin Seifert,Benno Stein,A Min Tjoa,Roland Wagner
Database and Expert Systems Applications Book PDF

Author : Mourad Elloumi,Michael Granitzer,Abdelkader Hameurlain,Christin Seifert,Benno Stein,A Min Tjoa,Roland Wagner
Publisher : Springer
Page : 321 pages
File Size : 45,9 Mb
Release : 2018-08-06
Category : Computers
ISBN : 9783319991337

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Database and Expert Systems Applications by Mourad Elloumi,Michael Granitzer,Abdelkader Hameurlain,Christin Seifert,Benno Stein,A Min Tjoa,Roland Wagner Pdf

This volume constitutes the refereed proceedings of the three workshops held at the 29th International Conference on Database and Expert Systems Applications, DEXA 2018, held in Regensburg, Germany, in September 2018: the Third International Workshop on Big Data Management in Cloud Systems, BDMICS 2018, the 9th International Workshop on Biological Knowledge Discovery from Data, BIOKDD, and the 15th International Workshop on Technologies for Information Retrieval, TIR. The 25 revised full papers were carefully reviewed and selected from 33 submissions. The papers discuss a range of topics including: parallel data management systems, consistency and privacy cloud computing and graph queries, web and domain corpora, NLP applications, social media and personalization

Architecting Modern Data Platforms

Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George
Architecting Modern Data Platforms Book PDF

Author : Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George
Publisher : "O'Reilly Media, Inc."
Page : 636 pages
File Size : 40,8 Mb
Release : 2018-12-05
Category : Computers
ISBN : 9781491969229

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Architecting Modern Data Platforms by Jan Kunigk,Ian Buss,Paul Wilkinson,Lars George Pdf

There’s a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered. With this practical book, you’ll learn how to build big data infrastructure both on-premises and in the cloud and successfully architect a modern data platform. Ideal for enterprise architects, IT managers, application architects, and data engineers, this book shows you how to overcome the many challenges that emerge during Hadoop projects. You’ll explore the vast landscape of tools available in the Hadoop and big data realm in a thorough technical primer before diving into: Infrastructure: Look at all component layers in a modern data platform, from the server to the data center, to establish a solid foundation for data in your enterprise Platform: Understand aspects of deployment, operation, security, high availability, and disaster recovery, along with everything you need to know to integrate your platform with the rest of your enterprise IT Taking Hadoop to the cloud: Learn the important architectural aspects of running a big data platform in the cloud while maintaining enterprise security and high availability

An Architecture for Fast and General Data Processing on Large Clusters

Matei Zaharia
An Architecture for Fast and General Data Processing on Large Clusters Book PDF

Author : Matei Zaharia
Publisher : ACM Books
Page : 142 pages
File Size : 54,5 Mb
Release : 2016
Category : Computers
ISBN : 1970001593

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An Architecture for Fast and General Data Processing on Large Clusters by Matei Zaharia Pdf

The past few years have seen a major change in computing systems, as growing data volumes and stalling processor speeds require more and more applications to scale out to clusters. Today, a myriad data sources, from the Internet to business operations to scientific instruments, produce large and valuable data streams. However, the processing capabilities of single machines have not kept up with the size of data. As a result, organizations increasingly need to scale out their computations over clusters. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing. We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective. This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.

The Revolt of The Public and the Crisis of Authority in the New Millennium

Martin Gurri
The Revolt of The Public and the Crisis of Authority in the New Millennium Book PDF

Author : Martin Gurri
Publisher : Stripe Press
Page : 465 pages
File Size : 46,5 Mb
Release : 2018-12-04
Category : Political Science
ISBN : 9781953953346

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The Revolt of The Public and the Crisis of Authority in the New Millennium by Martin Gurri Pdf

How insurgencies—enabled by digital devices and a vast information sphere—have mobilized millions of ordinary people around the world. In the words of economist and scholar Arnold Kling, Martin Gurri saw it coming. Technology has categorically reversed the information balance of power between the public and the elites who manage the great hierarchical institutions of the industrial age: government, political parties, the media. The Revolt of the Public tells the story of how insurgencies, enabled by digital devices and a vast information sphere, have mobilized millions of ordinary people around the world. Originally published in 2014, The Revolt of the Public is now available in an updated edition, which includes an extensive analysis of Donald Trump’s improbable rise to the presidency and the electoral triumphs of Brexit. The book concludes with a speculative look forward, pondering whether the current elite class can bring about a reformation of the democratic process and whether new organizing principles, adapted to a digital world, can arise out of the present political turbulence.

Product Management Essentials

Aswin Pranam
Product Management Essentials Book PDF

Author : Aswin Pranam
Publisher : Apress
Page : 179 pages
File Size : 50,5 Mb
Release : 2017-12-12
Category : Computers
ISBN : 9781484233030

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Product Management Essentials by Aswin Pranam Pdf

Gain all of the techniques, teachings, tools, and methodologies required to be an effective first-time product manager. The overarching goal of this book is to help you understand the product manager role, give you concrete examples of what a product manager does, and build the foundational skill-set that will gear you towards a career in product management. To be an effective PM in the tech industry, you need to have a basic understanding of technology. In this book you’ll get your feet wet by exploring the skills a PM needs in their toolset and cover enough ground to make you feel comfortable in a technical discussion. A PM is not expected to have the same level of depth or knowledge as a software engineer, but knowing enough to continue the conversation can be a benefit in your career in product management. A complete product manager will have a 360-degree understanding of user experience and how to craft beautiful products that are easy-to-use, with the end user in mind. You’ll continue your journey with a walk through basic UX principles and even go through the process of building a simple set of UI frames for a mock app. Aside from the technical and design expertise, a PM needs to master the social aspects of the role. Acting as a bridge between engineering, marketing, and other teams can be difficult, and this book will dive into the business and soft skills of product management. After reading Product Management Essentials you will be one of a select few technically-capable PMs who can interface with management, stakeholders, customers, and the engineering team. What You Will Learn Gain the traits of a successful PM from industry PMs, VCs, and other professionals See the day-to-day responsibilities of a PM and how the role differs across tech companies Absorb the technical knowledge necessary to interface with engineers and estimate timelines Design basic mocks, high-fidelity wireframes, and fully polished user interfaces Create core documents and handle business interactions Who This Book Is For Individuals who are eyeing a transition into a PM role or have just entered a PM role at a new organization for the first time. They currently hold positions as a software engineer, marketing manager, UX designer, or data analyst and want to move away from a feature-focused view to a high-level strategic view of the product vision.

High Performance Spark

Holden Karau,Rachel Warren
High Performance Spark Book PDF

Author : Holden Karau,Rachel Warren
Publisher : "O'Reilly Media, Inc."
Page : 356 pages
File Size : 54,6 Mb
Release : 2017-05-25
Category : Computers
ISBN : 9781491943175

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High Performance Spark by Holden Karau,Rachel Warren Pdf

Apache Spark is amazing when everything clicks. But if you haven’t seen the performance improvements you expected, or still don’t feel confident enough to use Spark in production, this practical book is for you. Authors Holden Karau and Rachel Warren demonstrate performance optimizations to help your Spark queries run faster and handle larger data sizes, while using fewer resources. Ideal for software engineers, data engineers, developers, and system administrators working with large-scale data applications, this book describes techniques that can reduce data infrastructure costs and developer hours. Not only will you gain a more comprehensive understanding of Spark, you’ll also learn how to make it sing. With this book, you’ll explore: How Spark SQL’s new interfaces improve performance over SQL’s RDD data structure The choice between data joins in Core Spark and Spark SQL Techniques for getting the most out of standard RDD transformations How to work around performance issues in Spark’s key/value pair paradigm Writing high-performance Spark code without Scala or the JVM How to test for functionality and performance when applying suggested improvements Using Spark MLlib and Spark ML machine learning libraries Spark’s Streaming components and external community packages

Out Of Control

Kevin Kelly
Out Of Control Book PDF

Author : Kevin Kelly
Publisher : Basic Books
Page : 528 pages
File Size : 53,5 Mb
Release : 2009-04-30
Category : Science
ISBN : 9780786747030

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Out Of Control by Kevin Kelly Pdf

Out of Control chronicles the dawn of a new era in which the machines and systems that drive our economy are so complex and autonomous as to be indistinguishable from living things.

Dear Data

Giorgia Lupi,Stefanie Posavec
Dear Data Book PDF

Author : Giorgia Lupi,Stefanie Posavec
Publisher : Chronicle Books
Page : 304 pages
File Size : 53,6 Mb
Release : 2016-09-13
Category : Design
ISBN : 9781616895464

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Dear Data by Giorgia Lupi,Stefanie Posavec Pdf

Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria Popova (Brain Pickings), who introduces this charming and graphically powerful book. For one year, Giorgia Lupi, an Italian living in New York, and Stefanie Posavec, an American in London, mapped the particulars of their daily lives as a series of hand-drawn postcards they exchanged via mail weekly—small portraits as full of emotion as they are data, both mundane and magical. Dear Data reproduces in pinpoint detail the full year's set of cards, front and back, providing a remarkable portrait of two artists connected by their attention to the details of their lives—including complaints, distractions, phone addictions, physical contact, and desires. These details illuminate the lives of two remarkable young women and also inspire us to map our own lives, including specific suggestions on what data to draw and how. A captivating and unique book for designers, artists, correspondents, friends, and lovers everywhere.

Stream Processing with Apache Spark

Gerard Maas,Francois Garillot
Stream Processing with Apache Spark Book PDF

Author : Gerard Maas,Francois Garillot
Publisher : "O'Reilly Media, Inc."
Page : 452 pages
File Size : 46,9 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9781491944196

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Stream Processing with Apache Spark by Gerard Maas,Francois Garillot Pdf

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

Ask a Manager

Alison Green
Ask a Manager Book PDF

Author : Alison Green
Publisher : Ballantine Books
Page : 304 pages
File Size : 49,5 Mb
Release : 2018-05-01
Category : Business & Economics
ISBN : 9780399181825

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Ask a Manager by Alison Green Pdf

From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together

Stream Processing with Apache Flink

Fabian Hueske,Vasiliki Kalavri
Stream Processing with Apache Flink Book PDF

Author : Fabian Hueske,Vasiliki Kalavri
Publisher : O'Reilly Media
Page : 311 pages
File Size : 48,8 Mb
Release : 2019-04-11
Category : Computers
ISBN : 9781491974261

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Stream Processing with Apache Flink by Fabian Hueske,Vasiliki Kalavri Pdf

Get started with Apache Flink, the open source framework that powers some of the world’s largest stream processing applications. With this practical book, you’ll explore the fundamental concepts of parallel stream processing and discover how this technology differs from traditional batch data processing. Longtime Apache Flink committers Fabian Hueske and Vasia Kalavri show you how to implement scalable streaming applications with Flink’s DataStream API and continuously run and maintain these applications in operational environments. Stream processing is ideal for many use cases, including low-latency ETL, streaming analytics, and real-time dashboards as well as fraud detection, anomaly detection, and alerting. You can process continuous data of any kind, including user interactions, financial transactions, and IoT data, as soon as you generate them. Learn concepts and challenges of distributed stateful stream processing Explore Flink’s system architecture, including its event-time processing mode and fault-tolerance model Understand the fundamentals and building blocks of the DataStream API, including its time-based and statefuloperators Read data from and write data to external systems with exactly-once consistency Deploy and configure Flink clusters Operate continuously running streaming applications