A fun way to create interesting and cool apps for your Wearable device using Android programming. :
The book is for Android developers with a good understanding of programming and developing applications on Android, but they need not have any experience of creating Wear apps.
Author/Authors: S, Ashok Kumar
Pages: 416 | Published Date: 42947
Category: Mobile
Expand on your Android development capabilities by building applications for Android Wear :
If you are an Android developer who wants to learn how to build applications for the Android Wear platform, then this is the book for you. This book only requires a basic knowledge of Android programming. Familiarity with development IDEs such as Android Studio, IntelliJ IDEA, or Eclipse will be helpful.
Author/Authors: Daniel, Steven F.
Pages: 224 | Published Date: 42215
Category: Mobile
Utilize Flurry Analytics to optimize and monetize your applications more effectively :
This book is for anyone who is interested in solving UI problems with AngularJS. Working knowledge of JavaScript, HTML, and CSS is assumed.
Author/Authors: Gharat, Amit | Nehlsen, Matthias
Pages: 258 | Published Date: 41936
Category: Business & Other
Create your own massively scalable Cassandra database with highly responsive database queries :
If you are a developer who is working with Cassandra and you want to deep dive into the core concepts and understand Cassandra’s non-relational nature, then this book is for you. A basic understanding of Cassandra is expected.
Author/Authors: Padalia, Nitin
Pages: 172 | Published Date: 42328
Category: Data
Leverage the power of CloudStack and learn to extend the CloudStack environment :
This book is packed with practical, hands-on illustrations for building and managing your CloudStack environment.If you are a cloud architect, cloud administrator, virtualization administrator, cloud storage administrator, cloud computing professional, or technical evangelist who is looking to learn and leverage CloudStack, then this book is for you. You will learn how to set up a cloud service for your enterprise or for your customer.
Author/Authors: Sabharwal, Navin | Ravi, Shankar
Pages: 294 | Published Date: 41411
Category: Cloud & Networking
Stream data to Hadoop using Apache flume :
A starter guide that covers Apache Flume in detail.Apache Flume: Distributed Log Collection for Hadoop is intended for people who are responsible for moving datasets into Hadoop in a timely and reliable manner like software engineers, database administrators, and data warehouse administrators
Author/Authors: Hoffman, Steve
Pages: 108 | Published Date: 41471
Category: Data
Design and implement a series of Flume agents to send streamed data into Hadoop :
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.
Author/Authors: Hoffman, Steve
Pages: 178 | Published Date: 42060
Category: Data
Learn about big data processing and analytics :
Apache Hadoop is a widely used distributed data platform. It enables large datasets to be efficiently processed instead of using one large computer to store and process the data. This book will get you started with the Hadoop ecosystem, and introduce you to the main technical topics such as MapReduce, YARN and HDFS.
Author/Authors: Karambelkar, Hrishikesh Vijay
Pages: 220 | Published Date: 43404
Category: Data
Easy, hands-on recipes to help you understand Hive and its integration with frameworks that are used widely in today's big data world :
This book has covered almost all concepts of Hive. So, if you are a beginner in the big data Hadoop domain, you can start with installing Hive, understanding Hive services and clients, and using Hive data modeling concepts to design your data model. If you have basic knowledge of Hive, you can deep dive into some of the advance concepts covered in the book such as partitions, bucketing, file formats, security, and windowing and analytics. In a nutshell, this book is helpful for both a Hadoop developer and a Hadoop analyst who want to explore Hive.
Author/Authors: Bansal, Hanish | Chauhan, Saurabh | Mehrotra, Shrey
Pages: 268 | Published Date: 42489
Category: Data
Immerse yourself on a fantastic journey to discover the attributes of big data by using Hive :
If you are a data analyst, developer, or simply someone who wants to use Hive to explore and analyze data in Hadoop, this is the book for you. Whether you are new to big data or an expert, with this book, you will be able to master both the basic and the advanced features of Hive. Since Hive is an SQL-like language, some previous experience with the SQL language and databases is useful to have a better understanding of this book.
Author/Authors: Du, Dayong
Pages: 208 | Published Date: 42061
Category: Data
This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive. :
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.
Author/Authors: Du, Dayong
Pages: 210 | Published Date: 43281
Category: Data
Over 100 practical recipes on using distributed enterprise messaging to handle real-time data :
Apache Kafka provides a unified, high-throughput, low-latency platform to handle real-time data feeds. This book will show you how to use Kafka efficiently, and contains practical solutions to the common problems that developers and administrators usually face while working with it. This practical guide contains easy-to-follow recipes to help you set up, configure, and use Apache Kafka in the best possible manner. You will use Apache Kafka Consumers and Producers to build effective real-time streaming applications. The book covers the recently released Kafka version 1.0, the Confluent Platform and Kafka Streams. The programming aspect covered in the book will teach you how to perform important tasks such as message validation, enrichment and composition.Recipes focusing on optimizing the performance of your Kafka cluster, and integrate Kafka with a variety of third-party tools such as Apache Hadoop, Apache Spark, and Elasticsearch will help ease your day to day collaboration with Kafka greatly. Finally, we cover tasks related to monitoring and securing your Apache Kafka cluster using tools such as Ganglia and Graphite. If you're looking to become the go-to person in your organization when it comes to working with Apache Kafka, this book is the only resource you need to have.
Author/Authors: Estrada, Raúl
Pages: 250 | Published Date: 43091
Category: Data
Over 50 hands-on recipes to efficiently administer, maintain, and use your Apache Kafka installation :
Over 50 hands-on recipes to efficiently administer, maintain, and use your Apache Kafka installation About This Book • Quickly configure and manage your Kafka cluster • Learn how to use the Apache Kafka cluster and connect it with tools for big data processing • A practical guide to monitor your Apache Kafka installation Who This Book Is For If you are a programmer or big data engineer using or planning to use Apache Kafka, then this book is for you. This book has several recipes which will teach you how to effectively use Apache Kafka. You need to have some basic knowledge of Java. If you don’t know big data tools, this would be your stepping stone for learning how to consume the data in these kind of systems. What You Will Learn • Learn how to configure Kafka brokers for better efficiency • Explore how to configure producers and consumers for optimal performance • Set up tools for maintaining and operating Apache Kafka • Create producers and consumers for Apache Kafka in Java • Understand how Apache Kafka can be used by several third party system for big data processing, such as Apache Storm, Apache Spark, Hadoop, and more • Monitor Apache Kafka using tools like graphite and Ganglia In Detail This book will give you details about how to manage and administer your Apache Kafka Cluster. We will cover topics like how to configure your broker, producer, and consumer for maximum efficiency for your situation. Also, you will learn how to maintain and administer your cluster for fault tolerance. We will also explore tools provided with Apache Kafka to do regular maintenance operations. We shall also look at how to easily integrate Apache Kafka with big data tools like Hadoop, Apache Spark, Apache Storm, and Elasticsearch. Style and approach Easy-to-follow, step-by-step recipes explaining from start to finish how to accomplish real-world tasks.
Author/Authors: Minni, Saurabh
Pages: 128 | Published Date: 42341
Category: Data
Explore clustering algorithms used with Apache Mahout :
This book is for developers who want to try out clustering on large datasets using Mahout. It will also be useful for those users who don't have a background in Mahout, but have knowledge of basic programming and are familiar with the basics of machine learning and clustering. It will be helpful if you know about clustering techniques for some other tool.
Author/Authors: Gupta, Ashish
Pages: 130 | Published Date: 42285
Category: Data