Data Processing category: 1302 books

String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This book is a general...

R programming language is one of the unique tools of data mining and data analysis, which is increasingly important in the world. This book reports the functions of R programming language related to spatial data as a quick start guide. In the Book, it is referred to basic R functions starting...

How can you get your data from frontend servers to Hadoop in near real time? With this complete reference guide, you’ll learn Flume’s rich set of features for collecting, aggregating, and writing large amounts of streaming data to the Hadoop Distributed File System (HDFS), Apache HBase, SolrCloud,...

This book presents the bi-partial approach to data analysis, which is both uniquely general and enables the development of techniques for many data analysis problems, including related models and algorithms. It is based on adequate representation of the essential clustering problem: to group together...

SQLite is the native database for iOS and Android applications. Xamarin is the development framework of choice for creating cross-platform mobile apps. Together, this powerful duo allows you to write a common, shared data persistence layer that works across OS's. This can greatly simplify your...

Accelerate your enterprise search engine and bring relevancy in your search analytics Key Features A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination Master the management and administration of Enterprise Search Applications and services seamlessly Handle...

Big Data Analytics with R and Hadoop is a tutorial style book that focuses on all the powerful big data tasks that can be achieved by integrating R and Hadoop.This book is ideal for R developers who are looking for a way to perform big data analytics with Hadoop. This book is also aimed at those who...

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...

This five-minute eBook will quickly show anyone how to use Microsoft’s VBA operators (e.g., <, >, Like, And) and its wildcard characters (e.g., #, ? and *) to filter for data in spreadsheet cells.  If a user has ever worked with filtering data in Microsoft Access databases, he or she...

If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize,...

Introduction to Data Compression, Fourth Edition, is a concise and comprehensive guide to the art and science of data compression. This new edition includes all the cutting edge updates the reader will need during the work day and in class. It provides an extensive introduction to the theory underlying...

Akamai’s globally distributed Intelligent Platform™ allows us to gather massive amounts of data on many metrics including Internet connection speeds, network connectivity/availability issues, and IPv6 adoption progress as well as traffic patterns across leading web properties and digital media...

Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world About This Book Learn how to extract and analyse data from physical devices and build smart IoT projects Master the skills of building enticing projects such as a neural...

Each chapter of the book quickly introduces a key theme of Data Analysis, before immersing you in the practical aspects of each theme. Youll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle.