Microservice Patterns and Best Practices Explore patterns like CQRS and event sourcing to create scalable, maintainable, and testable microservices

Vinicius Feitosa Pacheco

ISBN 10: 1788474031 / ISBN 13: 9781788474030

Edité par Packt Publishing Limited, 2018

A propos de cet article

New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9781788474030

Détails bibliographiques

Titre : Microservice Patterns and Best Practices ...

Éditeur : Packt Publishing Limited

Date d'édition : 2018

Reliure : PAP

Etat : New

A propos de ce titre

Synopsis :

With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities.

Key Features

• Create links between your dataset and others in an instant
• Effectively transform data with regular expressions and the General Refine Expression Language
• Spot issues in your dataset and take effective action with just a few clicks

Book Description

Data today is like gold - but how can you manage your most valuable assets? Managing large datasets used to be a task for specialists, but the game has changed - data analysis is an open playing field. Messy data is now in your hands! With OpenRefine the task is a little easier, as it provides you with the necessary tools for cleaning and presenting even the most complex data. Once it's clean, that's when you can start finding value.

Using OpenRefine takes you on a practical and actionable through this popular data transformation tool. Packed with cookbook style recipes that will help you properly get to grips with data, this book is an accessible tutorial for anyone that wants to maximize the value of their data.

This book will teach you all the necessary skills to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, we'll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We'll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction.

Using OpenRefine is more than a manual: it's a guide stuffed with tips and tricks to get the best out of your data.

What you will learn

• Import data in various formats
• Explore datasets in a matter of seconds
• Apply basic and advanced cell transformations
• Deal with cells that contain multiple values
• Create instantaneous links between datasets
• Filter and partition your data easily with regular expressions
• Use named-entity extraction on full-text fields to automatically identify topics
• Perform advanced data operations with the General Refine Expression Language

À propos de l?auteur:

Ruben Verborgh is a PhD researcher in Semantic Hypermedia. He is fascinated by the Web's immense possibilities and tries to contribute ideas that will maybe someday slightly infl uence the way the Web changes all of us. His degree in Computer Science Engineering convinced him more than ever that communication is the most crucial thing for IT-based solutions. This is why he really enjoys explaining things to those eager to learn. In 2011, he launched the Free Your Metadata project together with Seth van Hooland and Max De Wilde, which aims to evangelize the importance of bringing your data on the Web. This book is one of the assets in this continuing quest. He currently works at Multimedia Lab, a research group of iMinds, Ghent University, Belgium, in the domains of Semantic Web, Web APIs, and Adaptive Hypermedia. Together with Seth van Hooland, he's writing Linked Data for Libraries, Archives, and Museums, Facet Publishing, a practical guide for metadata practitioners.