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BSON-JSON Mongodb-graphdb

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Tools used to map MongoDB - BSON-JSON Nodes, Labels, Properties and Edges into a GraphDB which can provide graph data visualizations using graph libraries such as: D3.js, Graphlab etc

Mikeaddison93/instant-pdf. App Report Builder. The BaseSpace Report Builder allows you to hook into your output files and generate robust reports for the user.

App Report Builder

Reports can be created for any application you own in BaseSpace. If a report is not created for an application, the output files will be displayed in a file browser with a default report. Any app can use the Reports Builder tool, whether is it a Web, Desktop, or Native app. In the above example, the app has generated two AppResults. The app has the result report enabled and the summary report disabled, so you can see that two reports are visible, one result report for each AppResult. How to Use the Reports Builder The Reports Builder tool can by used by any apps and will generate reports using HTML, CSS, JS, and the Dotliquid languages. Here is how a developer would first interact with the Reports Builder tool: Note: In order to start using the Reports Builder, the app must have an AppSession that is in the Complete status. Active Report Revisions Report Components The Summary Report. Web Based Report Designer for Jasper Reports. Are you using Jasper Reports to generate reports in your web application?

Web Based Report Designer for Jasper Reports

Would you like to easily add web based, ad hoc reporting that can integrate with your existing Jasper infrastructure? If so, here's how you can do it with jsreports. Get the jsreports trial package Download the jsreports trial package and extract its contents. Basic setup. Transform JSON to HTML. Dashboards for Graphite - Dashboard Dude. It’s no secret I like Graphite - it’s a great example of Open Source software which is just as good (actually, it’s even better) than similar closed-source, enterprise-grade (and much more expensive) software.

Dashboards for Graphite - Dashboard Dude

While Graphite is fantastic, the front-end that comes with it leaves a little bit to be desired. You can use the built-in rendering and dashboard for viewing your system metrics, just like you can use Internet Explorer 6 to browse the Internet - it’ll work, but you’re gonna have a bad time. Thankfully, there are a lot of alternatives out there, but the Graphite Tools page is a little out of date (with abandoned/incomplete projects), so here’s a list or dashboards I have or would consider using… Client-side Dashboards These dashboards use the Graphite Render API to get data, and show them using some of the latest client-side Javascript libraries (like D3.js) to render graphs. Giraffe While I haven’t used it personally, it looks good.

Cubism.js. Dashboards for Graphite - Dashboard Dude. Dashboard. Mikeaddison93/raw. Tutorials · mbostock/d3 Wiki. Wiki ▸ Tutorials Please feel free to add links to your work!

Tutorials · mbostock/d3 Wiki

Tutorials may not be up-to-date with the latest version 4.0 of D3; consider reading them alongside the latest release notes, the 4.0 summary, and the 4.0 changes. Introductions & Core Concepts Specific Techniques D3 v4 Blogs Books Courses Data Visualization and D3.jsJonathan Dinu + Ryan Orban, Udacity, 2014Data Visualization and Infographics with D3.jsAlberto Cairo + Scott Murray, Knight Center, 2015 Talks and Videos. Mikeaddison93/mongo3 · GitHub. Mongodb-washington-dc-2013. Visualizing MongoDB in Objects in Concept and Practice. Is it just me. Architecture and Planning. Visualizing MongoDB Objects in Concept and Practice.

Mongoviewer-server. MongoDB + Node.js + Express + D3 Install API Server CLI.


How to visualize JSON documents from MongoDB. Do you have a database full of JSON objects crying out for visual analysis?

How to visualize JSON documents from MongoDB

This post can help you take the first steps. Using free and Open Source libraries to visualize unstructured data sources was the topic of a recent presentation I gave at MongoDB Washington DC. The presentation covered the following topics: D3.js tree diagram generated from external (JSON) data. NVD3. Mikeaddison93/dc.js. Graph-json. Tag Aware Sharding — MongoDB Manual 2.6.6. MongoDB supports tagging a range of shard key values to associate that range with a shard or group of shards.

Tag Aware Sharding — MongoDB Manual 2.6.6

Those shards receive all inserts within the tagged range. The balancer obeys tagged range associations, which enables the following deployment patterns: isolate a specific subset of data on a specific set of shards.ensure that the most relevant data reside on shards that are geographically closest to the application servers.

This document describes the behavior, operation, and use of tag aware sharding in MongoDB deployments. Sharding — MongoDB Manual 2.6.6. Sharding is the process of storing data records across multiple machines and is MongoDB’s approach to meeting the demands of data growth.

Sharding — MongoDB Manual 2.6.6

As the size of the data increases, a single machine may not be sufficient to store the data nor provide an acceptable read and write throughput. Mongoimport — MongoDB Manual 2.6.6. Synopsis The mongoimport tool provides a route to import content from a JSON, CSV, or TSV export created by mongoexport, or potentially, another third-party export tool.

mongoimport — MongoDB Manual 2.6.6

See the Import and Export MongoDB Data document for a more in depth usage overview, and the mongoexport document for more information regarding mongoexport, which provides the inverse “exporting” capability. Considerations. MongoDB Analytics and Data Access. JSON and BSON. JavaScript Object Notation (JSON) is an open, human and machine-readable standard that facilitates data interchange, and along with XML is the main format for data interchange used on the modern web.


JSON supports all the basic data types you’d expect: numbers, strings, and boolean values, as well as arrays and hashes. Document databases such as MongoDB use JSON documents in order to store records, just as tables and rows store records in a relational database. Here is an example of a JSON document: A JSON database returns query results that can be easily parsed, with little or no transformation, directly by JavaScript and most popular programming languages – reducing the amount of logic you need to build into your application layer.

Extended JSON — MongoDB Manual 2.6.6.