Harness big data to provide meaningful insights, analytics, and business intelligence for your financial institution :
This book is perfect for developers, analysts, architects or managers who would like to perform big data analytics with Hadoop for the financial sector. This book is also helpful for technology professionals from other industry sectors who have recently switched or like to switch their business domain to financial sector. Familiarity with big data, Java programming, database and data warehouse, and business intelligence would be beneficial.
Author/Authors: Tiwari, Rajiv
Pages: 168 | Published Date: 42124
Category: Data
Recipes for analyzing large and complex data sets with Hadoop MapReduce :
Individual self-contained code recipes. Solve specific problems using individual recipes, or work through the book to develop your capabilities. If you are a big data enthusiast and striving to use Hadoop to solve your problems, this book is for you. Aimed at Java programmers with some knowledge of Hadoop MapReduce, this is also a comprehensive reference for developers and system admins who want to get up to speed using Hadoop.
Author/Authors: Perera, Srinath | Gunarathne, Thilina
Pages: 300 | Published Date: 41299
Category: Data
Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets :
If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
Author/Authors: Gunarathne, Thilina
Pages: 322 | Published Date: 42060
Category: Data
Over 60 recipes showing you how to design, configure, manage, monitor, and tune a Hadoop cluster :
Solve specific problems using individual self-contained code recipes, or work through the book to develop your capabilities. This book is packed with easy-to-follow code and commands used for illustration, which makes your learning curve easy and quick.If you are a Hadoop cluster system administrator with Unix/Linux system management experience and you are looking to get a good grounding in how to set up and manage a Hadoop cluster, then this book is for you. It’s assumed that you will have some experience in Unix/Linux command line already, as well as being familiar with network communication basics.
Author/Authors: Guo, Shumin
Pages: 368 | Published Date: 41479
Category: Data
Realistic, simple code examples to solve problems at scale with Hadoop and related technologies. :
Cookbook recipes demonstrate Hadoop in action and then explain the concepts behind the code. This book is ideal for developers who wish to have a better understanding of Hadoop application development and associated tools, and developers who understand Hadoop conceptually but want practical examples of real world applications.
Author/Authors: Owens, Jonathan R. | Lentz, Jon | Femiano, Brian
Pages: 316 | Published Date: 41312
Category: Data
Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout :
This book is for those of you who have basic knowledge of Big Data systems and want to advance your knowledge with hands-on recipes.
Author/Authors: Deshpande, Tanmay
Pages: 290 | Published Date: 42460
Category: Data
Plan, track, and release great software :
As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA. This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.
Author/Authors: Harned, David
Pages: 158 | Published Date: 43311
Category: Programming
Learn how to use the best and most practical computer vision algorithms using OpenCV :
The field of Computer Vision has seen advancements in terms of processing power and performance. Many algorithms are introduced to perform Computer Vision tasks efficiently. This book is a starting point for anyone interested in this field and wants to dig deeper into the most practical algorithms used by professional Computer Vision developers.
Author/Authors: Tazehkandi, Amin Ahmadi
Pages: 290 | Published Date: 43308
Category: Data
Master the art of creating impressive and reactive UIs for mobile applications on the latest version of Android Oreo. :
This book is for novice Android and Java developers who have a basic knowledge of Android development and want to start developing stunning user interfaces.
Author/Authors: Morris, Jason
Pages: 348 | Published Date: 43060
Category: Mobile
An introduction to AI concepts, algorithms, and their implementation :
This book will empower you to apply Artificial Intelligence techniques to design applications for natural language processing, robotics, and other real-world use-cases. You will be able to develop, debug, deploy and optimize intelligent AI systems for self-driving cars, game playing, and much more.
Author/Authors: Smith, Patrick D.
Pages: 362 | Published Date: 43404
Category: Data
Building intelligent applications and perform enterprise searches :
In this book, you will understand what artificial intelligence is. It explains in detail basic search methods: Depth-First Search (DFS), Breadth-First Search (BFS), and A* Search, which can be used to make intelligent decisions when the initial state, end state, and possible actions are known. Random solutions or greedy solutions can be found for such problems.
Author/Authors: Patel, Devangini
Pages: 124 | Published Date: 43343
Category: Data
Build intelligent apps using machine learning and deep learning with Deeplearning4j :
This book will introduce the AI algorithms to the beginners and will take on implementing AI tasks using various Java-based libraries. It will take a practical approach to get you up and running with building smarter applications using Java programming knowledge.
Author/Authors: Joshi, Nisheeth
Pages: 144 | Published Date: 43343
Category: Data
Automate data and model pipelines for faster machine learning applications :
If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.
Author/Authors: Das, Sibanjan | Cakmak, Umit Mert
Pages: 282 | Published Date: 43216
Category: Data