Ravendb Beginner S Guide
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Ravendb Beginner S Guide
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Author : Khaled Tannir
language : en
Publisher:
Release Date : 2013-09-30
Ravendb Beginner S Guide written by Khaled Tannir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-30 with categories.
Ravendb 2 X Beginner S Guide
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Author : Khaled Tannir
language : en
Publisher: Packt Publishing Ltd
Release Date : 2013-09-04
Ravendb 2 X Beginner S Guide written by Khaled Tannir and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-04 with Computers categories.
Written in a friendly, example-driven Beginner’s Guide format, there are plenty of step-by-step instructions and examples that are designed to help you get started with RavenDB. If you are a .NET developer, new to document-oriented databases, and you wish to learn how to build applications using NoSQL databases, then this book is for you. Experience with relational database systems will be helpful, but not necessary.
Ravendb 2 X Beginner S Guide
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Author : Khaled Tannir
language : en
Publisher:
Release Date : 2013
Ravendb 2 X Beginner S Guide written by Khaled Tannir and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Computers categories.
Written in a friendly, example-driven Beginner's Guide format, there are plenty of step-by-step instructions and examples that are designed to help you get started with RavenDB. If you are a .NET developer, new to document-oriented databases, and you wish to learn how to build applications using NoSQL databases, then this book is for you. Experience with relational database systems will be helpful, but not necessary.
Mongodb High Availability
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Author : Afshin Mehrabani
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-07-24
Mongodb High Availability written by Afshin Mehrabani and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-24 with Computers categories.
This book has a perfect balance of concepts and their practical implementation along with solutions to make a highly available MongoDB server with clear instructions and guidance. If you are using MongoDB in a production environment and need a solution to make a highly available MongoDB server, this book is ideal for you. Familiarity with MongoDB is expected so that you understand the content of this book.
Learning Predictive Analytics With R
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Author : Eric Mayor
language : en
Publisher: Packt Publishing Ltd
Release Date : 2015-09-24
Learning Predictive Analytics With R written by Eric Mayor and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-24 with Computers categories.
Get to grips with key data visualization and predictive analytic skills using R About This Book Acquire predictive analytic skills using various tools of R Make predictions about future events by discovering valuable information from data using R Comprehensible guidelines that focus on predictive model design with real-world data Who This Book Is For If you are a statistician, chief information officer, data scientist, ML engineer, ML practitioner, quantitative analyst, and student of machine learning, this is the book for you. You should have basic knowledge of the use of R. Readers without previous experience of programming in R will also be able to use the tools in the book. What You Will Learn Customize R by installing and loading new packages Explore the structure of data using clustering algorithms Turn unstructured text into ordered data, and acquire knowledge from the data Classify your observations using Naive Bayes, k-NN, and decision trees Reduce the dimensionality of your data using principal component analysis Discover association rules using Apriori Understand how statistical distributions can help retrieve information from data using correlations, linear regression, and multilevel regression Use PMML to deploy the models generated in R In Detail R is statistical software that is used for data analysis. There are two main types of learning from data: unsupervised learning, where the structure of data is extracted automatically; and supervised learning, where a labeled part of the data is used to learn the relationship or scores in a target attribute. As important information is often hidden in a lot of data, R helps to extract that information with its many standard and cutting-edge statistical functions. This book is packed with easy-to-follow guidelines that explain the workings of the many key data mining tools of R, which are used to discover knowledge from your data. You will learn how to perform key predictive analytics tasks using R, such as train and test predictive models for classification and regression tasks, score new data sets and so on. All chapters will guide you in acquiring the skills in a practical way. Most chapters also include a theoretical introduction that will sharpen your understanding of the subject matter and invite you to go further. The book familiarizes you with the most common data mining tools of R, such as k-means, hierarchical regression, linear regression, association rules, principal component analysis, multilevel modeling, k-NN, Naive Bayes, decision trees, and text mining. It also provides a description of visualization techniques using the basic visualization tools of R as well as lattice for visualizing patterns in data organized in groups. This book is invaluable for anyone fascinated by the data mining opportunities offered by GNU R and its packages. Style and approach This is a practical book, which analyzes compelling data about life, health, and death with the help of tutorials. It offers you a useful way of interpreting the data that's specific to this book, but that can also be applied to any other data.
Practical Data Analysis Cookbook
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Author : Tomasz Drabas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-04-29
Practical Data Analysis Cookbook written by Tomasz Drabas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-29 with Computers categories.
Over 60 practical recipes on data exploration and analysis About This Book Clean dirty data, extract accurate information, and explore the relationships between variables Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn Find and extract the most important features from your dataset using the most efficient Python libraries Who This Book Is For If you are a beginner or intermediate-level professional who is looking to solve your day-to-day, analytical problems with Python, this book is for you. Even with no prior programming and data analytics experience, you will be able to finish each recipe and learn while doing so. What You Will Learn Read, clean, transform, and store your data usng Pandas and OpenRefine Understand your data and explore the relationships between variables using Pandas and D3.js Explore a variety of techniques to classify and cluster outbound marketing campaign calls data of a bank using Pandas, mlpy, NumPy, and Statsmodels Reduce the dimensionality of your dataset and extract the most important features with pandas, NumPy, and mlpy Predict the output of a power plant with regression models and forecast water flow of American rivers with time series methods using pandas, NumPy, Statsmodels, and scikit-learn Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi Scrape Internet web pages using urlib and BeautifulSoup and get to know natural language processing techniques to classify movies ratings using NLTK Study simulation techniques in an example of a gas station with agent-based modeling In Detail Data analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data. Its importance has been most visible in the sector of information and communication technologies. It is an employee asset in almost all economy sectors. This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more. First, you will learn some easy-to-follow practical techniques on how to read, write, clean, reformat, explore, and understand your data—arguably the most time-consuming (and the most important) tasks for any data scientist. In the second section, different independent recipes delve into intermediate topics such as classification, clustering, predicting, and more. With the help of these easy-to-follow recipes, you will also learn techniques that can easily be expanded to solve other real-life problems such as building recommendation engines or predictive models. In the third section, you will explore more advanced topics: from the field of graph theory through natural language processing, discrete choice modeling to simulations. You will also get to expand your knowledge on identifying fraud origin with the help of a graph, scrape Internet websites, and classify movies based on their reviews. By the end of this book, you will be able to efficiently use the vast array of tools that the Python environment has to offer. Style and approach This hands-on recipe guide is divided into three sections that tackle and overcome real-world data modeling problems faced by data analysts/scientist in their everyday work. Each independent recipe is written in an easy-to-follow and step-by-step fashion.
Optimizing Hadoop For Mapreduce
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Author : Khaled Tannir
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-02-21
Optimizing Hadoop For Mapreduce written by Khaled Tannir and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-21 with Computers categories.
This book is an example-based tutorial that deals with Optimizing Hadoop for MapReduce job performance. If you are a Hadoop administrator, developer, MapReduce user, or beginner, this book is the best choice available if you wish to optimize your clusters and applications. Having prior knowledge of creating MapReduce applications is not necessary, but will help you better understand the concepts and snippets of MapReduce class template code.
Ravendb In Action
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Author : Itamar Syn-Hershko
language : en
Publisher: Manning Publications
Release Date : 2016-01-28
Ravendb In Action written by Itamar Syn-Hershko and has been published by Manning Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-28 with categories.
The data encounter in the real world is usually easier to think of as objects or documents than as the tables and rows required by a standard RDBMS. RavenDB, a modern document-oriented database written in .NET, requires no schema to be declared and enables developers to work with data more naturally. RavenDB applications are high-performance, low-latency, and easy to scale and maintain. RavenDB in Action introduces RavenDB and the document database model. After explaining the basics and offering a quick-and-dirty sample application, this end-to-end guide dives into core RavenDB techniques. It has thoroughly-documented examples on extending RavenDB, deployment stories, and tips to ensure production readiness, along with coverage of advanced topics like full-text search. After reading this book, readers should be comfortable building efficient database-backed applications using RavenDB. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
Inside Ravendb 4 0
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Author : Oren Eini
language : en
Publisher: Inside Ravendb
Release Date : 2018-08-29
Inside Ravendb 4 0 written by Oren Eini and has been published by Inside Ravendb this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.
Oren Eini, CEO of RavenDB, shares everything you need to know about the latest version of his distributed, non-relational document database. This is a book-length blog post, designed not only to give you full knowledge of what RavenDB does, but also all the reasoning behind each feature. Inside RavendB 4.0 explains all the whys, like why RavenDB is a fully transactional, high performance, and NoSQL - one of the few databases on the market to include so much. Based on over a decade of working with databases, Oren discusses why he made it a priority that RavenDB requires as little overhead as possible from its users. It'll give you the knowledge and skills to make efficient use of RavenDB in your systems. Enjoy this easy-read from your favorite Ayende blogger. Beyond simply dry documentation or reference book, Inside RavenDB 4.0 is packed with the musings from one of the pioneers of the NoSQL Database. Features include: * Going Beyond Relational Data Modeling * Distributed Data in a Multi-Node Cluster * The Basics of RavenDB * ACID vs BASE * Querying, Indexing, and CRUD in a Document Model * Creating a Polyglot Architecture with ETL
Introducing Ravendb
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Author : Dejan Miličić
language : en
Publisher:
Release Date : 2022
Introducing Ravendb written by Dejan Miličić and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Simplify your first steps with the RavenDB NoSQL Document Database. This book takes a task-oriented approach by showing common problems, potential solutions, brief explanations of how those solutions work, and the mechanisms used. Based on real-world examples, the recipes in this book will show you how to solve common problems with Raven Query Language and will highlight reasons why RavenDB is a great choice for fast prototyping solutions that can sustain increasing amounts of data as your application grows. Introducing RavenDB includes code and query examples that address real-life challenges you'll encounter when using RavenDB, helping you learn the basics of the Raven Query Language more quickly and efficiently. In many cases, you'll be able to copy and paste the examples into your own code, making only minor modifications to suit your application. RavenDB supports many advanced features, such full-text search, graph queries, and timeseries; recipes in the latter portion of the book will help you understand those advanced features and how they might be applied to your own code and applications. After reading this book, you will be able to employ RavenDB's powerful features in your own projects. You will: Set up and start working with RavenDB Model your objects for persistence in a NoSQL document database Write basic and advanced queries in the Raven Query Language Index your data using map/reduce techniques Implement techniques leading to highly performant systems Efficiently aggregate data and query on those aggregations .
