Download learning apache kafka second edition in pdf or read learning apache kafka second edition in pdf online books in PDF, EPUB and Mobi Format. Click Download or Read Online button to get learning apache kafka second edition in pdf book now. This site is like a library, Use search box in the widget to get ebook that you want.



Learning Apache Kafka Second Edition

Author: Nishant Garg
Publisher: Packt Publishing Ltd
ISBN: 1784390275
Size: 37.68 MB
Format: PDF, ePub, Docs
View: 7597
Download and Read
This book is for readers who want to know more about Apache Kafka at a hands-on level; the key audience is those with software development experience but no prior exposure to Apache Kafka or similar technologies. It is also useful for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber-based systems and want to explore Apache Kafka as a futuristic solution.

Learning Apache Cassandra Second Edition

Author: Sandeep Yarabarla
Publisher:
ISBN: 9781787127296
Size: 26.12 MB
Format: PDF, ePub, Docs
View: 5062
Download and Read
Build a scalable, fault-tolerant and highly available data layer for your applications using Apache CassandraAbout This Book* Install Cassandra and use it to set up multi-node clusters* Design rich schemas that capture the relationships between different data types* Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layerWho This Book Is ForIf you are a first-time user of Apache Cassandra who wants to learn the basic of it, as well as some not-so-basic features, this book is for you. It does not assume any prior experience in coding or any framework.What you will learn* Install Cassandra and create your first keyspace* Create tables with multiple clustering columns to organize related data* Use secondary indexes and materialized views to avoid denormalization of data* Effortlessly handle concurrent updates with collection columns* Ensure data integrity with lightweight transactions and logged batches* Understand eventual consistency and use the right consistency level for your situation* Understand data distribution with Cassandra and get to know ways to implement application-level optimizationsIn DetailCassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while still providing the high availability and scalability of a distributed store. This book will introduce you to the rich features offered by Cassandra, and empower you to create and manage a highly performant, fault-tolerant database layer.The book starts by explaining the new features implemented in Cassandra 3.x, you'll see how to install Cassandra, and you'll understand Lightweight Transactions. Next you'll learn to create tables with composite partition keys, and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and data distribution in Cassandra. Finally, you will set up a multi node cluster and implement application-level optimization using a Java client.By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.

Apache Kafka

Author: Nishant Garg
Publisher: Packt Pub Limited
ISBN: 9781782167938
Size: 28.21 MB
Format: PDF, ePub, Docs
View: 4820
Download and Read
The book will follow a step-by-step tutorial approach which will show the readers how to use Apache Kafka for messaging from scratch.Apache Kafka is for readers with software development experience, but no prior exposure to Apache Kafka or similar technologies is assumed. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber based systems and now want to explore Apache Kafka as a futuristic scalable solution.

Building Data Streaming Applications With Apache Kafka

Author: Manish Kumar
Publisher: Packt Publishing Ltd
ISBN: 1787287637
Size: 12.53 MB
Format: PDF, Docs
View: 2982
Download and Read
Design and administer fast, reliable enterprise messaging systems with Apache Kafka About This Book Build efficient real-time streaming applications in Apache Kafka to process data streams of data Master the core Kafka APIs to set up Apache Kafka clusters and start writing message producers and consumers A comprehensive guide to help you get a solid grasp of the Apache Kafka concepts in Apache Kafka with pracitcalpractical examples Who This Book Is For If you want to learn how to use Apache Kafka and the different tools in the Kafka ecosystem in the easiest possible manner, this book is for you. Some programming experience with Java is required to get the most out of this book What You Will Learn Learn the basics of Apache Kafka from scratch Use the basic building blocks of a streaming application Design effective streaming applications with Kafka using Spark, Storm &, and Heron Understand the importance of a low -latency , high- throughput, and fault-tolerant messaging system Make effective capacity planning while deploying your Kafka Application Understand and implement the best security practices In Detail Apache Kafka is a popular distributed streaming platform that acts as a messaging queue or an enterprise messaging system. It lets you publish and subscribe to a stream of records, and process them in a fault-tolerant way as they occur. This book is a comprehensive guide to designing and architecting enterprise-grade streaming applications using Apache Kafka and other big data tools. It includes best practices for building such applications, and tackles some common challenges such as how to use Kafka efficiently and handle high data volumes with ease. This book first takes you through understanding the type messaging system and then provides a thorough introduction to Apache Kafka and its internal details. The second part of the book takes you through designing streaming application using various frameworks and tools such as Apache Spark, Apache Storm, and more. Once you grasp the basics, we will take you through more advanced concepts in Apache Kafka such as capacity planning and security. By the end of this book, you will have all the information you need to be comfortable with using Apache Kafka, and to design efficient streaming data applications with it. Style and approach A step-by –step, comprehensive guide filled with practical and real- world examples

Apache Hive Essentials

Author: Dayong Du
Publisher: Packt Publishing Ltd
ISBN: 1789136512
Size: 34.29 MB
Format: PDF, ePub
View: 4781
Download and Read
This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. Key Features Grasp the skills needed to write efficient Hive queries to analyze the Big Data Discover how Hive can coexist and work with other tools within the Hadoop ecosystem Uses practical, example-oriented scenarios to cover all the newly released features of Apache Hive 2.3.3 Book Description In this book, we prepare you for your journey into big data by frstly introducing you to backgrounds in the big data domain, alongwith the process of setting up and getting familiar with your Hive working environment. Next, the book guides you through discovering and transforming the values of big data with the help of examples. It also hones your skills in using the Hive language in an effcient manner. Toward the end, the book focuses on advanced topics, such as performance, security, and extensions in Hive, which will guide you on exciting adventures on this worthwhile big data journey. By the end of the book, you will be familiar with Hive and able to work effeciently to find solutions to big data problems What you will learn Create and set up the Hive environment Discover how to use Hive's definition language to describe data Discover interesting data by joining and filtering datasets in Hive Transform data by using Hive sorting, ordering, and functions Aggregate and sample data in different ways Boost Hive query performance and enhance data security in Hive Customize Hive to your needs by using user-defined functions and integrate it with other tools Who this book is for If you are a data analyst, developer, or simply someone who wants to quickly get started with Hive to explore and analyze Big Data in Hadoop, this is the book for you. Since Hive is an SQL-like language, some previous experience with SQL will be useful to get the most out of this book.

Apache Flume Distributed Log Collection For Hadoop Second Edition

Author: Steve Hoffman
Publisher: Packt Publishing Ltd
ISBN: 1784399140
Size: 43.71 MB
Format: PDF, ePub, Mobi
View: 7292
Download and Read
If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed.

Learning Apache Flink

Author: Tanmay Deshpande
Publisher: Packt Publishing Ltd
ISBN: 1786467267
Size: 70.55 MB
Format: PDF, ePub
View: 1282
Download and Read
Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink About This Book Build your expertize in processing real-time data with Apache Flink and its ecosystem Gain insights into the working of all components of Apache Flink such as FlinkML, Gelly, and Table API filled with real world use cases Exploit Apache Flink's capabilities like distributed data streaming, in-memory processing, pipelining and iteration operators to improve performance. Solve real world big-data problems with real time in-memory and disk-based processing capabilities of Apache Flink. Who This Book Is For Big data developers who are looking to process batch and real-time data on distributed systems. Basic knowledge of Hadoop and big data is assumed. Reasonable knowledge of Java or Scala is expected. What You Will Learn Learn how to build end to end real time analytics projects Integrate with existing big data stack and utilize existing infrastructure Build predictive analytics applications using FlinkML Use graph library to perform graph querying and search. Understand Flink's - "Streaming First" architecture to implementing real streaming applications Learn Flink Logging and Monitoring best practices in order to efficiently design your data pipelines Explore the detailed processes to deploy Flink cluster on Amazon Web Services(AWS) and Google Cloud Platform (GCP). In Detail With the advent of massive computer systems, organizations in different domains generate large amounts of data on a real-time basis. The latest entrant to big data processing, Apache Flink, is designed to process continuous streams of data at a lightning fast pace. This book will be your definitive guide to batch and stream data processing with Apache Flink. The book begins with introducing the Apache Flink ecosystem, setting it up and using the DataSet and DataStream API for processing batch and streaming datasets. Bringing the power of SQL to Flink, this book will then explore the Table API for querying and manipulating data. In the latter half of the book, readers will get to learn the remaining ecosystem of Apache Flink to achieve complex tasks such as event processing, machine learning, and graph processing. The final part of the book would consist of topics such as scaling Flink solutions, performance optimization and integrating Flink with other tools such as ElasticSearch. Whether you want to dive deeper into Apache Flink, or want to investigate how to get more out of this powerful technology, you'll find everything you need inside. Style and approach This book is a comprehensive guide that covers advanced features of the Apache Flink, and communicates them with a practical understanding of the underlying concepts for how, when, and why to use them.

Agile Data Science 2 0

Author: Russell Jurney
Publisher: "O'Reilly Media, Inc."
ISBN: 149196006X
Size: 62.35 MB
Format: PDF, Kindle
View: 5911
Download and Read
Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they’re to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with Apache Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, and Apache Airflow. You’ll learn an iterative approach that lets you quickly change the kind of analysis you’re doing, depending on what the data is telling you. Publish data science work as a web application, and affect meaningful change in your organization. Build value from your data in a series of agile sprints, using the data-value pyramid Extract features for statistical models from a single dataset Visualize data with charts, and expose different aspects through interactive reports Use historical data to predict the future via classification and regression Translate predictions into actions Get feedback from users after each sprint to keep your project on track

Learning Aws

Author: Aurobindo Sarkar
Publisher: Packt Publishing Ltd
ISBN: 1787289311
Size: 18.74 MB
Format: PDF, Docs
View: 3801
Download and Read
Discover techniques and tools for building serverless applications with AWS Key Features Get well-versed with building and deploying serverless APIs with microservices Learn to build distributed applications and microservices with AWS Step Functions A step-by-step guide that will get you up and running with building and managing applications on the AWS platform Book Description Amazon Web Services (AWS) is the most popular and widely-used cloud platform. Administering and deploying application on AWS makes the applications resilient and robust. The main focus of the book is to cover the basic concepts of cloud-based development followed by running solutions in AWS Cloud, which will help the solutions run at scale. This book not only guides you through the trade-offs and ideas behind efficient cloud applications, but is a comprehensive guide to getting the most out of AWS. In the first section, you will begin by looking at the key concepts of AWS, setting up your AWS account, and operating it. This guide also covers cloud service models, which will help you build highly scalable and secure applications on the AWS platform. We will then dive deep into concepts of cloud computing with S3 storage, RDS and EC2. Next, this book will walk you through VPC, building realtime serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, and automate your infrastructure and deploy with CloudFormation. By the end of this book, you will be well-versed with the various services that AWS provides and will be able to leverage AWS infrastructure to accelerate the development process. What you will learn Set up your AWS account and get started with the basic concepts of AWS Learn about AWS terminology and identity access management Acquaint yourself with important elements of the cloud with features such as computing, ELB, and VPC Back up your database and ensure high availability by having an understanding of database-related services in the AWS cloud Integrate AWS services with your application to meet and exceed non-functional requirements Create and automate infrastructure to design cost-effective, highly available applications Who this book is for If you are an I.T. professional or a system architect who wants to improve infrastructure using AWS, then this book is for you. It is also for programmers who are new to AWS and want to build highly efficient, scalable applications.