Learning Cypher
Panzarino, Onofrioقیمت نهایی
- تخفیف زماندار−۵٬۰۰۰ تومان
۵٬۰۰۰ تومان صرفهجویی نسبت به قیمت اصلی
نسخه اصلی و اورجینال
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مشخصات کتاب
- نویسنده
- Panzarino, Onofrio
- سال انتشار
- ۲۰۱۴
- فرمت
- FB2
- زبان
- انگلیسی
- تعداد صفحات
- ۵ صفحه
- حجم فایل
- ۱٫۵ مگابایت
- شابک
- 9781280118852، 9781299832312، 9781299916616، 9781306797450، 9781782164425، 9781782164432، 9781782177982، 9781782177999، 9781783280131، 9781783280148، 9781783287758، 9781783287765، 9781849516884، 9781849516891، 1280118857، 1299832318، 1299916619، 1306797454، 1782164421، 178216443X، 1782177981، 178217799X، 1783280131، 178328014X، 1783287756، 1783287764، 184951688X، 1849516898
دربارهٔ کتاب
In Detail
Gephi is an interactive visualization and exploration platform for all kinds of networks and complex systems. Social media data has helped to drive network visualization to new levels of relevance and importance. However, there is far more to network visualization than just social media data. For analyzing and visualizing network graphs, you need to have an excellent platform, and you need to know ways to use your data effectively.
Network Graph Analysis and Visualization with Gephi is a practical, hands-on guide that provides you with all the tools you need to begin creating your own network graphs. You will learn how to import data, test multiple graph layouts, and publish your visualizations to the Web.
Network Graph Analysis and Visualization with Gephi will teach you how to create your own network graphs using Gephi. The book begins by taking you through the installation of Gephi and configuring the installation options. You will also get acquainted with the Gephi workspace and the various tools in Gephi. Next, you'll use these tools to create your own graphs. If you need to add more capability to your personal toolkit, you will be learning to Download and install several of the best Gephi layout plugins. You will then use these layouts simultaneously to produce beautiful graphs. Also, you create and import data in Gephi and add some new plugins that extend Gephi even further. You also gain the skills to prepare and customize your network visualization for export.
By the end of this book, you will be able to create your own network graphs using Gephi, customize the look and feel of your graphs, and successfully publish them to the Web.
ApproachA practical, hands-on guide, that provides you with all the tools you need to visualize and analyze your data using network graphs with Gephi
Who this book is forThis book is for data analysts who want to intuitively reveal patterns and trends, highlight outliers, and tell stories with their data using Gephi. It is great for anyone looking to explore interactions within network datasets, whether the data comes from social media or elsewhere. It is also a valuable resource for those seeking to learn more about Gephi without being overwhelmed by technical details.
In Detail
With the explosion of data, the open source Apache Hadoop ecosystem is gaining traction, thanks to its huge ecosystem that has arisen around the core functionalities of its distributed file system (HDFS) and Map Reduce. As of today, being able to have SQL Server talking to Hadoop has become increasingly important because the two are indeed complementary. While petabytes of unstructured data can be stored in Hadoop taking hours to be queried, terabytes of structured data can be stored in SQL Server 2012 and queried in seconds. This leads to the need to transfer and integrate data between Hadoop and SQL Server.
Microsoft SQL Server 2012 with Hadoop is aimed at SQL Server developers. It will quickly show you how to get Hadoop activated on SQL Server 2012 (it ships with this version). Once this is done, the book will focus on how to manage big data with Hadoop and use Hadoop Hive to query the data. It will also cover topics such as using in-memory functions by SQL Server and using tools for BI with big data.
Microsoft SQL Server 2012 with Hadoop focuses on data integration techniques between relational (SQL Server 2012) and non-relational (Hadoop) worlds. It will walk you through different tools for the bi-directional movement of data with practical examples.
You will learn to use open source connectors like SQOOP to import and export data between SQL Server 2012 and Hadoop, and to work with leading in-memory BI tools to create ETL solutions using the Hive ODBC driver for developing your data movement projects. Finally, this book will give you a glimpse of the present day self-service BI tools such as Excel and PowerView to consume Hadoop data and provide powerful insights on the data.
ApproachThis book will be a step-by-step tutorial, which practically teaches working with big data on SQL Server through sample examples in increasing complexity.
Who this book is forMicrosoft SQL Server 2012 with Hadoop is specifically targeted at readers who want to cross-pollinate their Hadoop skills with SQL Server 2012 business intelligence and data analytics. A basic understanding of traditional RDBMS technologies and query processing techniques is essential.
In Detail
Neo4j is generating much interest among NoSQL database users for its features, performance and scalability, and robustness. The software also provides users with a very natural and expressive graph model and ACID transactions with rollbacks. However, utilizing Neo4j in a real-world project can be difficult compared to a traditional relational database. Cypher fills this gap with SQL, providing a declarative syntax and the expressiveness of pattern matching. This relatively simple but powerful language allows you to focus on your domain instead of getting lost in database access. As you will learn in this book, very complicated database queries can easily be expressed through Cypher.
This book is a practical, hands-on guide to designing, implementing, and querying a Neo4j database quickly and painlessly. Through a number of practical examples, this book uncovers all the behaviors that will help you to take advantage of Neo4j effectively, with tips and tricks to help you along the way. The book starts with the basic clauses and patterns to perform read-only queries with Cypher. You will then learn about clauses and tips that can be used with patterns to elaborate results coming from pattern matching. Next, you will master the clauses required to modify a graph. Once you have got these basics right with the help of practical examples, you will then learn about tools and practices to improve the performance of queries and how to migrate a database to Neo4j from the ground up. To finish off, the book covers Cypher operators and functions in detail.
ApproachAn easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation.
Who this book is forIf you want to learn how to create, query, and maintain a graph database, or want to migrate to a graph database from SQL, this is the book for you.
In Detail Neo4j is generating much interest among NoSQL database users for its features, performance and scalability, and robustness. The software also provides users with a very natural and expressive graph model and ACID transactions with rollbacks. However, utilizing Neo4j in a real-world project can be difficult compared to a traditional relational database. Cypher fills this gap with SQL, providing a declarative syntax and the expressiveness of pattern matching. This relatively simple but powerful language allows you to focus on your domain instead of getting lost in database access. As you will learn in this book, very complicated database queries can easily be expressed through Cypher. This book is a practical, hands-on guide to designing, implementing, and querying a Neo4j database quickly and painlessly. Through a number of practical examples, this book uncovers all the behaviors that will help you to take advantage of Neo4j effectively, with tips and tricks to help you along the way. The book starts with the basic clauses and patterns to perform read-only queries with Cypher. You will then learn about clauses and tips that can be used with patterns to elaborate results coming from pattern matching. Next, you will master the clauses required to modify a graph. Once you have got these basics right with the help of practical examples, you will then learn about tools and practices to improve the performance of queries and how to migrate a database to Neo4j from the ground up. To finish off, the book covers Cypher operators and functions in detail. Approach An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation. Who this book is for If you want to learn how to create, query, and maintain a graph database, or want to migrate to a graph database from SQL, this is the book for youIn Detail
OpenSceneGraph is an open source 3D graphics application programming interface, used by application developers in fields such as visual simulation, computer games, virtual reality, scientific visualization, and modeling. Familiar with its concepts and APIs, and need to improve your knowledge? This book is here to help. With exactly 100 recipes, it will enrich your experience and take you to the next level.
OpenSceneGraph 3 Cookbook will escort you into the world of real-time 3D development with OpenSceneGraph, the world famous 3D graphics engine. The book assumes that you are already familiar with some basic concepts, and provides 100 vivid recipes to demonstrate how to utilize the API flexibly and how to implement some practical aspects.
The book is divided into 10 chapters, each of which focuses on one topic. Readers may start from any topic they are interested in.
The book includes customizing OpenSceneGraph, designing scene graph, geometry, scene navigation, animations, effects using fixed pipeline and shaders, managing mass data, and miscellaneous discussions. Every recipe will prove to be useful in a practical way or in research.
OpenSceneGraph 3 Cookbook gives you a wide insight about 3D programming using OpenSceneGraph, with a set of meaningful and interesting examples.
ApproachThis is a cookbook full of recipes with practical examples enriched with code and the required screenshots for easy and quick comprehension.
Who this book is forYou should be familiar with the basic concepts of the OpenSceneGraph API and should be able to write simple programs. Some OpenGL and math knowledge will help a lot, too.
Annotation With the explosion of data, the open source Apache Hadoop ecosystem is gaining traction, thanks to its huge ecosystem that has arisen around the core functionalities of its distributed file system (HDFS) and Map Reduce. As of today, being able to have SQL Server talking to Hadoop has become increasingly important because the two are indeed complementary. While petabytes of unstructured data can be stored in Hadoop taking hours to be queried, terabytes of structured data can be stored in SQL Server 2012 and queried in seconds. This leads to the need to transfer and integrate data between Hadoop and SQL Server. Microsoft SQL Server 2012 with Hadoop is aimed at SQL Server developers. It will quickly show you how to get Hadoop activated on SQL Server 2012 (it ships with this version). Once this is done, the book will focus on how to manage big data with Hadoop and use Hadoop Hive to query the data. It will also cover topics such as using in-memory functions by SQL Server and using tools for BI with big data. Microsoft SQL Server 2012 with Hadoop focuses on data integration techniques between relational (SQL Server 2012) and non-relational (Hadoop) worlds. It will walk you through different tools for the bi-directional movement of data with practical examples. You will learn to use open source connectors like SQOOP to import and export data between SQL Server 2012 and Hadoop, and to work with leading in-memory BI tools to create ETL solutions using the Hive ODBC driver for developing your data movement projects. Finally, this book will give you a glimpse of the present day self-service BI tools such as Excel and PowerView to consume Hadoop data and provide powerful insights on the data Annotation OpenSceneGraph is an open source 3D graphics application programming interface, used by application developers in fields such as visual simulation, computer games, virtual reality, scientific visualization, and modeling. Familiar with its concepts and APIs, and need to improve your knowledge? This book is here to help. With exactly 100 recipes, it will enrich your experience and take you to the next level. OpenSceneGraph 3 Cookbook will escort you into the world of real-time 3D development with OpenSceneGraph, the world famous 3D graphics engine. The book assumes that you are already familiar with some basic concepts, and provides 100 vivid recipes to demonstrate how to utilize the API flexibly and how to implement some practical aspects. The book is divided into 10 chapters, each of which focuses on one topic. Readers may start from any topic they are interested in. The book includes customizing OpenSceneGraph, designing scene graph, geometry, scene navigation, animations, effects using fixed pipeline and shaders, managing mass data, and miscellaneous discussions. Every recipe will prove to be useful in a practical way or in research. OpenSceneGraph 3 Cookbook gives you a wide insight about 3D programming using OpenSceneGraph, with a set of meaningful and interesting examplesIn Detail
Storm is a free and open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing what Hadoop did for batch processing. Storm is simple, can be used with any programming language, and is a lot of fun to use!
Storm Real Time Processing Cookbook will have basic to advanced recipes on Storm for real-time computation.
The book begins with setting up the development environment and then teaches log stream processing. This will be followed by real-time payments workflow, distributed RPC, integrating it with other software such as Hadoop and Apache Camel, and more.
ApproachA Cookbook with plenty of practical recipes for different uses of Storm.
Who this book is forIf you are a Java developer with basic knowledge of real-time processing and would like to learn Storm to process unbounded streams of data in real time, then this book is for you.
This is a practical hands-on book with clear instructions and lot of code examples. It takes a simple approach, guiding you through different architectural topics using realistic sample projects. A single project is implemented using different architectural styles to make the reader understand the details of each style. There are also many small independent code samples to explain design patterns, WCF, and localization. This book is for people familiar with the ASP.NET framework using either C# or VB.NET. You don't need to be an ASP.NET guru – the book is ideal for novice and intermediate developers. If reading about application architecture usually confuses you or sends you to sleep, then this book will be perfect for you! In short, any ASP.NET programmer who is confused or disoriented reading different books or materials on architectures wondering how and what to implement in their application, will definitely benefit from this book! An easy-to-follow guide full of tips and examples of real-world applications. In each chapter, a thorough example will show you the concepts in action, followed by a detailed explanation. This book is intended for those who want to learn how to create, query, and maintain a graph database, or who want to migrate to a graph database from SQL. It would be helpful to have some familiarity with Java and/or SQL, but no prior experience is required. "'Storm real time processing cookbook' teaches you how to set up your development environment and the process of testing a real-time system based on Storm, introducing various recipes and finally delivering them to the cloud using delivery best practices."--The back coverقیمت نهایی
۴۴٬۰۰۰ تومان
