Results 171 to 180 of about 14,724 (226)

An Approach for Schema Extraction of JSON and Extended JSON Document Collections

2018 IEEE International Conference on Information Reuse and Integration (IRI), 2018
JSON documents are raising as a common format for data representation due to the increasing popularity of NoSQL document-oriented databases. One of the reasons for such a popularity is their ability to handle large volumes of data at the absence of an explicit data schema.
Angelo Augusto Frozza, Ronaldo dos Santos Mello, Felipe de Souza da Costa   +2 more
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Cloudy with a Chance of JSON

Proceedings of the VLDB Endowment
Couchbase Capella is a scalable document-oriented database service in the cloud. Its existing Capella Operational service is based on a shared-nothing architecture and supports high volumes of low-latency queries and updates for JSON documents. Its new Capella Columnar cloud service complements the Operational service.
Murtadha Al Hubail, Ali Alsuliman, Wail Y. Alkowaileet, Michael Blow, Michael J. Carey 0001, Savyasach Enukonda, Peeyush Gupta, Santosh Hegde, Kamini Jagtiani, Abhishek Jindal, Nawazish Kahn, Mehnaz Tabassum Mahin, Ian Maxon, M. Muralikrishna, Keshav Murthy, Daniel Nagy, Preetham Poluparthi, Ankit Prabhu, Ritik Raj, Vijay Sarathy, Shahrzad Shirazi, Utsav Singh, Hussain Towaileb, Ayush Tripathi, Janhavi Tripurwar, Bo-Chun Wang, Till Westmann   +26 more
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Processing JSON with JSON-P

2019
JSON-P is an intriguing API because it was originally considered for inclusion in Java SE, but was made available to Java EE instead. Chapter 12 explores JSON-P.
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XML and JSON are like cardboard

Communications of the ACM, 2017
Cardboard surrounds and protects stuff as it crosses boundaries.
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The JSON Schema: JSON Structure Validation

2016
Now that you have had an overview of the JSON data-definition language, this chapter looks at the schema that defines JSON, including the concepts behind the JSON Schema, advantages of using it, terms used to describe it, and the various rules that dictate its definition and design approach.
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JSON Numeric Values: Defining Numbers in JSON

2016
Chapter 7 looked at the string data type; now let’s examine the number data value in JSON. It lets you define a wide range of numeric data values that can be supported in your JSON data-definition structures.
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JSON Graph

Applicative 2015 on - Applicative 2015, 2015
Every user of a web application wants to believe that all of the data in the cloud is sitting right on their device. Netflix's data platform "JSON Graph" creates this illusion for the web developer.One Model, Available Everywhere. Using an innovative combination of reactive programming techniques and RESTful principles, JSON Graph allows web developers
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JSON and Ajax

2011
Web pages have evolved over recent years, mimicking the functionality found on desktop applications. Despite the added complexity, the user experience has greatly improved; developed sites feel more responsive and engaging. Through quicker feedback, popup tips, auto-completion, and fewer necessary full-page reloads, browsing is a richer, more intuitive,
Peter MacIntyre, Brian Danchilla, Mladen Gogala   +2 more
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JSON Character Values: Defining Strings in JSON

2016
Chapter 6 looked at the two different types of special data types, Boolean and null; Chapter 4 covered JSON object data structures, the primary structures used to define objects; and Chapter 5 discussed the secondary array data structure used to define data arrays.
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JSON Data Values: Types of Data that JSON Supports

2016
You have looked at the two types of JSON data structures: one used to define objects, covered in Chapter 4; and the other used to define data arrays, covered in Chapter 5. This chapter discusses the different types of data values that can be supported in your JSON data-definition structures.
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