Found 822 results for "services content search"

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Gitana / 4.0 / Data Engine / Integrations / Amazon Web Services

Amazon Web Services Cloud CMS provides out-of-the-box integration with a variety of Amazon Web Service offerings, including services for natural language processing, machine learning, semantic analysis and image recognition. You can learn more about these services here: Amazon Comprehend Amazon DocumentDB Amazon Elastic Search Service Amazon Elastic Transcoder Amazon Polly Amazon SNS Amazon SQS Amazon Transcribe Amazon Translate

Score: 23.783236

Gitana / 3.2 / Guide / Guide / Search

Search Any content you put into Cloud CMS is automatically indexed for full-text and structured search. This lets your editorial teams instantly search for content and find the things they're looking for. Under the hood, Cloud CMS uses Elastic Search and makes available to your editorial users and developers the full syntax of the Elastic Search Query DSL. This allows you to execute simple searches as well as more complex queries that take into account term and phrase matching, nested operations

Score: 21.799152

Gitana / 4.0 / Data Engine / Discovery / Search

Search Any content you put into Cloud CMS is automatically indexed for full-text and structured search. This lets your editorial teams instantly search for content and find the things they're looking for. Under the hood, Cloud CMS uses Elastic Search and makes available to your editorial users and developers the full syntax of the Elastic Search Query DSL. This allows you to execute simple searches as well as more complex queries that take into account term and phrase matching, nested operations

Score: 21.799152

Gitana / 3.2 / Guide / Guide / Applications

Applications Public Services

Score: 16.761301

Gitana / 4.0 / Data Engine / Platform / Applications

Applications Public Services

Score: 16.761301

Gitana / 3.2 / Guide / Guide / Find

Find The Cloud CMS Find Service lets you discover and retrieve content using combinations of its three primary content retrieval mechanisms. These mechanisms are: Query (powered by Mongo DB) Search (powered by Elastic Search) Traversal (provides Graph Traversal) A "Find" operation provides a way for you to execute a single API lookup that runs one or more of the above and composes them into a single result set. How it Works When you make a "Find" call, you provide a recipe containing at least on

Score: 15.819969

Gitana / 4.0 / Data Engine / Discovery / Find

Find The Cloud CMS Find Service lets you discover and retrieve content using combinations of its three primary content retrieval mechanisms. These mechanisms are: Query (powered by Mongo DB) Search (powered by Elastic Search) Traversal (provides Graph Traversal) A "Find" operation provides a way for you to execute a single API lookup that runs one or more of the above and composes them into a single result set. How it Works When you make a "Find" call, you provide a recipe containing at least on

Score: 15.819969

Gitana / 3.2 / Guide / Guide / Content Modeling

Content Modeling A content model consists of definitions which describe your project's content types, properties, graph associations, and the aspect-oriented features that Cloud CMS uses to ensure data consistency, integrity and validity when content is created, updated or deleted. In Cloud CMS, all content modeling is done using JSON and more specifically, JSON Schema. JSON Schema provides an elegant and well-adopted model for describing the types for content objects, properties and other neste

Score: 14.087539

Gitana / 4.0 / Getting Started / Working with Content / Overview

Working with Content You can put any kind of content into Cloud CMS. Things like desktop files (Word documents, PDF files, images, audio files and video) are no problem. However, the real power of Cloud CMS begins when you begin to model content type definitions and features to wrap around that content. A content type is a type of thing, such as an Article or a Press Release. You define content types in the same way that you might define a word in the dictionary. You give it a name and then you

Score: 13.883914

Gitana / 4.0 / Data Engine / Content Models / Content Model Builder

Content Model Builder Create A New Content Type Extend Field Templates Edit An Existing Content Type

Score: 13.52062

Gitana / 4.0 / Data Engine / Publishing / Content Types

Content Types Cloud CMS lets you customize the Publishing Behavior and the Workflow Per Content Type. You can now Enable/Disable the Preview and Publishing buttons for each Content Type. Customize Publishing Behavior Per Content Type You can disable the Publishing Behavior like Preview button or the Publishing buttons for all the Content types whose content or data you do not want to publish. To Disable the Publishing behaviors of the Content Types: Go to Project Go to Manage Project Go to Publi

Score: 13.291328

Gitana / 3.2 / Guide / Guide / Integrations / Amazon Web Services

Amazon Web Services Cloud CMS provides out-of-the-box integration with a variety of Amazon Web Service offerings, including services for natural language processing, machine learning, semantic analysis and image recognition. You can learn more about these services here: Amazon Comprehend Amazon DocumentDB Amazon Elastic Search Service Amazon Elastic Transcoder Amazon Polly Amazon SNS Amazon SQS Amazon Transcribe Amazon Translate

Score: 13.281933

Gitana / 3.2 / Guide / Guide / Docker / Container Services

Container Services In this chapter, we provide examples and guidance on how to instantiate the Gitana platform within a variety of container services. SDK For each of the frameworks listed below, you will find samples configuration files within the Gitana SDK. Gitana SDK - Container Framework Examples for Gitana 3.2 Frameworks Amazon ECS Kubernetes

Score: 11.914689

Gitana / 4.0 / Data Engine / Content Models / Default Paths

Default Paths Your content types define schemas that Cloud CMS uses to render intuitive forms for content entry. In addition, content types let you configure persistence paths so that JSON documents created using these forms are automatically saved in a directory structure that you intend. Paths support templated variables so that the path can be dynamic. It can depend on the values having been entered. For example, let's suppose I have the content type for an article, like this: { "title":

Score: 11.736024

Gitana / 4.0 / Developers / Cookbooks / Content Modeling Cookbook

Content Modeling Cookbook Getting Started To get started with Content Modeling, please visit the Content Modeling Page. Code Samples Here are some code samples of common data structures to help you get started. Array of strings An array of strings. Definition: "prop1": { "type": "array", "items": { "type": "string" } } Form: "prop1": { "type": "array", "items": { "type": "text" } } An Object An object with two properties. Definition: "articleAvailability

Score: 11.001288

Gitana / 4.0 / Data Engine / Content Models / Overview

Content Modeling A content model consists of definitions which describe your project's content types, properties, graph associations, and the aspect-oriented features that Cloud CMS uses to ensure data consistency, integrity and validity when content is created, updated or deleted. In Cloud CMS, all content modeling is done using JSON and more specifically, JSON Schema. JSON Schema provides an elegant and well-adopted model for describing the types for content objects, properties and other neste

Score: 10.991915

Gitana / 3.2 / Guide / Guide / Integrations / Amazon Web Services / Amazon Elastic Search Service

Amazon Elastic Search Service Amazon Elastic Search Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time. Cloud CMS works out-of-the-box with Amazon Elastic Search Service as an alternative to running Elastic Search on your own or using a Elastic Search hosted service. Amazon Elastic Search Service provides an easy and convenient way for customers to manage their own Elastic Search installations, data and backup.

Score: 10.578916

Gitana / 4.0 / Data Engine / Integrations / Amazon Web Services / Amazon Elastic Search Service

Amazon Elastic Search Service Amazon Elastic Search Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time. Cloud CMS works out-of-the-box with Amazon Elastic Search Service as an alternative to running Elastic Search on your own or using a Elastic Search hosted service. Amazon Elastic Search Service provides an easy and convenient way for customers to manage their own Elastic Search installations, data and backup.

Score: 10.578916

Gitana / 4.0 / Data Engine / Publishing / Publications

Publications Publications tell the system whenever content on the "master" branch goes into the "live" state, it should be pushed out to the deployment target. Once you Add a Publication to the Project, the content from the Selected Branch will be published to the Selected Deployment Target and its Lifecycle State will change to Live. To Add Publication: Go to Manage Project Publication Settings Click on Publications Click on Add a Publication Select the Branch whose content you wish to deploy t

Score: 9.938508

Gitana / 4.0 / Data Engine / Publishing / Lifecycle States

Lifecycle States Cloud CMS contains four content Lifecycle States during the Publishing process of a content. These define the state of the Content in the Publishing Lifecycle. Each state will have an ID, Title and a Preview Endpoint The four states in the Publishing lifecycle are : - None - Draft - Live - Archived You can look at the lifecycle states as follows: Each state has a Preview Endpoint which can be defined or modified under Preview Servers. These gives a chance to instantly preview t

Score: 9.481064

Gitana / 3.2 / Guide / Guide / User Interface / Search

Search Content is automatically indexed when it is created, modified, or uploaded in Cloud CMS. The index is across the Content properties and any attached file eg Word, PDF,.. Platform At Platform level you can search for Content across all projects subject to your access permissions. Project Search at Project level provides more options and is configurable: Project Search Settings Search for a Project can be configured. go to Project Settings (left nav). Note: To have the Project Settings as a

Score: 8.085147

Gitana / 4.0 / User Interface / User Interface / Search

Search Content is automatically indexed when it is created, modified, or uploaded in Cloud CMS. The index is across the Content properties and any attached file eg Word, PDF,.. Platform At Platform level you can search for Content across all projects subject to your access permissions. Project Search at Project level provides more options and is configurable: Project Search Settings Search for a Project can be configured. go to Project Settings (left nav). Note: To have the Project Settings as a

Score: 8.085147

Gitana / 4.0 / Developers / Application Server / Services

Services Awareness Broadcast Cache Config Driver Config Duster Flow Insight Local Notifications Overview Performance Server Tags Virtual Driver Virtual Hosts Web Content Management Welcome

Score: 8.048683

Gitana / 3.2 / Guide / Guide / Application Server / Services

Services Awareness Broadcast Cache Config Driver Config Duster Flow Insight Local Locks Notifications Overview Performance Server Tags Virtual Driver Virtual Hosts Web Content Management Welcome

Score: 8.046176

Gitana / 3.2 / Guide / Guide / Content Modeling / Definitions / Content Type Definition

Content Type Definition A content type defines a type of content that your content workers generally create, edit and publish. For example, an article or a press release might be considered to be a content type. The content type defines the schema, properties, behaviors and everything to do with a specific kind of content. You then set about creating instances of that content type. These are sometimes referred to as content instances. Instances are instantiations of a type. All content instances

Score: 7.98087