A practical guide to implementing your enterprise data lake using Lambda Architecture as the base :
Java developers and architects who would like to implement a data lake for their enterprise will find this book useful. If you want to get hands-on experience with the Lambda Architecture and big data technologies by implementing a practical solution using these technologies, this book will also help you.
Author/Authors: John, Tomcy | Misra, Pankaj
Pages: 596 | Published Date: 42886
Category: Data
Perform groupwise data manipulation and deal with large datasets using R efficiently and effectively :
This book is a stepby step, exampleoriented tutorial that will show both intermediate and advanced users how data manipulation is facilitated smoothly using R. This book is aimed at intermediate to advanced level users of R who want to perform data manipulation with R, and those who want to clean and aggregate data effectively. Readers are expected to have at least an introductory knowledge of R and some basic administration work in R, such as installing packages and calling them when required.
Author/Authors: Abedin, Jaynal
Pages: 102 | Published Date: 41654
Category: Data
Efficiently perform data manipulation using the split-apply-combine strategy in R :
This book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R.
Author/Authors: Abedin, Jaynal | Das, Kishor Kumar
Pages: 130 | Published Date: 42094
Category: Data
Build strong foundation of machine learning algorithms In 7 days :
This book is for aspiring data science professionals who are familiar with Python and have a statistics background. It is ideal for developers who are currently implementing one or two data science algorithms and want to learn more to expand their skill set.
Author/Authors: Natingga, Dávid
Pages: 210 | Published Date: 42963
Category: Data
Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition :
Choosing the right algorithm is often a key differentiator in the success or failure of a data model and its optimal performance. This book introduces you to 7 key machine learning algorithms which you can easily grasp within a week and includes exercises that will help you learn different aspects of machine learning without any hassle.
Author/Authors: Natingga, Dávid
Pages: 214 | Published Date: 43404
Category: Data
Integrate SQL Server with data science :
SQL Server started to fully support data science only with its last two editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning Services for their projects, then this is the ideal book for you.
Author/Authors: Sarka, Dejan
Pages: 206 | Published Date: 43343
Category: Data
Discover over 65 recipes to help you create breathtaking data visualizations using the latest features of D3 :
If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can serve as a desktop quick-reference guide for experienced data visualization developers. You’ll also find this book useful if you’re a D3 user who wants to take advantage of the new features introduced in D3 4.0. You should have previous experience with D3.
Author/Authors: Zhu, Nick
Pages: 370 | Published Date: 42794
Category: Data
Build dynamic and interactive visualizations from real-world data with D3 on AngularJS :
If you are a web developer with experience in AngularJS and want to implement interactive visualizations using D3.js, this book is for you. Knowledge of SVG or D3.js will give you an edge to get the most out of this book.</p>
Author/Authors: Körner, Christoph
Pages: 278 | Published Date: 42121
Category: Data
Mold your data into beautiful visualizations with d3.js :
This book is a mini tutorial with plenty of code examples and strategies to give you many options when building your own visualizations.This book is ideal for anyone interested in data visualization. Some rudimentary knowledge of JavaScript is required.
Author/Authors: Teller, Swizec
Pages: 194 | Published Date: 41572
Category: Data
Over 70 recipes to create dynamic data-driven visualization with D3.js :
Packed with practical recipes, this is a step-by-step guide to learning data visualization with D3 with the help of detailed illustrations and code samples.If you are a developer familiar with HTML, CSS, and JavaScript, and you wish to get the most out of D3, then this book is for you. This book can also serve as a desktop quick-reference guide for experienced data visualization developers.
Author/Authors: Zhu, Nick Qi
Pages: 338 | Published Date: 41571
Category: Data
A structured design approach to equip you with the knowledge of how to successfully undertake any data visualization challenge efficiently and effectively. :
A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.
Author/Authors: Kirk, Andy
Pages: 206 | Published Date: 41269
Category: Data