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Introduction

       DataSphere Studio (DSS for short) is WeDataSphere, a one-stop data application development management portal developed by WeBank.

       With the pluggable integrated framework design and the Linkis, a computing middleware, DSS can easily integrate various upper-layer data application systems, making data development simple and easy to use.

       DataSphere Studio is positioned as a data application development portal, and the closed loop covers the entire process of data application development. With a unified UI, the workflow-like graphical drag-and-drop development experience meets the entire lifecycle of data application development from data import, desensitization cleaning, data analysis, data mining, quality inspection, visualization, scheduling to data output applications, etc.

       With the connection, reusability, and simplification capabilities of Linkis, DSS is born with financial-grade capabilities of high concurrency, high availability, multi-tenant isolation, and resource management.

UI preview

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Core features

1. One-stop, full-process application development management UI

       DSS is highly integrated. Currently integrated components include(DSS version compatibility for the above components, please visit: Compatibility list of integrated components):

       1. Data Development IDE Tool - Scriptis

       2. Data Visualization Tool - Visualis (Based on the open source project Davinci contributed by CreditEase)

       3. Data Quality Management Tool - Qualitis

       4. Workflow scheduling tool - Schedulis

       5. Data Exchange Tool - Exchangis

       6. Data Api Service - DataApiService

       7. Streaming Application Development Management Tool - Streamis

       8. One-stop machine Learning Platform - Prophecis

       9. Workflow Task Scheduling Tool - DolphinScheduler (In Code Merging)

       10. Help documentation and beginner's guide - UserGuide (In Code Merging)

       11. Data Model Center - DataModelCenter (In development)

       DSS version compatibility for the above components, please visit: Compatibility list of integrated components.

       With a pluggable framework architecture, DSS is designed to allow users to quickly integrate new data application tools, or replace various tools that DSS has integrated. For example, replace Scriptis with Zeppelin, and replace Schedulis with DolphinScheduler...

2. AppConn, based on Linkis，defines a unique design concept

       AppConn is the core concept that enables DSS to easily and quickly integrate various upper-layer web systems.

       AppConn, an application connector, defines a set of unified front-end and back-end three-level integration protocols, allowing external data application systems to easily and quickly becoming a part of DSS data application development.

       The three-level specifications of AppConn are: the first-level SSO specification, the second-level organizational structure specification, and the third-level development process specification.

       DSS arranges multiple AppConns in series to form a workflow that supports real-time execution and scheduled execution. Users can complete the entire process development of data applications with simple drag and drop operations.

       Since AppConn is integrated with Linkis, the external data application system shares the capabilities of resource management, concurrent limiting, and high performance. AppConn also allows sharable context across system level and thus makes external data application completely gets away from application silos.

3. Workspace, as the management unit

       With Workspace as the management unit, it organizes and manages business applications of various data application systems, defines a set of common standards for collaborative development of workspaces across data application systems, and provides user role management capabilities.

4. Integrated data application components

       DSS has integrated a variety of upper-layer data application systems by implementing multiple AppConns, which can basically meet the data development needs of users.

       If desired, new data application systems can also be easily integrated to replace or enrich DSS's data application development process. Click me to learn how to quickly integrate new application systems

Component	Description	DSS0.X compatible version (DSS0.9.1 recommended)	DSS1.0 compatible version (DSS1.1.0 recommended)
Linkis	Computing middleware Apache Linkis, by providing standard interfaces such as REST/WebSocket/JDBC/SDK, upper-layer applications can easily connect and access underlying engines such as MySQL/Spark/Hive/Presto/Flink.	Linkis0.11.0 is recommended (*Released *)	>= Linkis1.1.1 (released)
DataApiService	(DSS has built-in third-party application tools) data API service. The SQL script can be quickly published as a Restful interface, providing Rest access capability to the outside world.	Not supported	DSS1.1.0 recommended (released)
Scriptis	(DSS has built-in third-party application tools) support online writing of SQL, Pyspark, HiveQL and other scripts, and submit to [Linkis](https ://github.com/WeBankFinTech/Linkis) data analysis web tool.	Recommended DSS0.9.1 (Released)	Recommended DSS1.1.0 (Released)
Schedulis	Workflow task scheduling system based on Azkaban secondary development, with financial-grade features such as high performance, high availability and multi-tenant resource isolation.	Recommended Schedulis0.6.1 (released)	>= Schedulis0.7.0 (Released)
EventCheck	(a third-party application tool built into DSS) provides signal communication capabilities across business, engineering, and workflow.	Recommended DSS0.9.1 (Released)	Recommended DSS1.1.0 (Released)
SendEmail	(DSS has built-in third-party application tools) provides the ability to send data, all the result sets of other workflow nodes can be sent by email	DSS0.9.1 is recommended (released)

Demo Trial environment

       The function of DataSphere Studio supporting script execution has high security risks, and the isolation of the WeDataSphere Demo environment has not been completed. Considering that many users are inquiring about the Demo environment, we decided to first issue invitation codes to the community and accept trial applications from enterprises and organizations.

       If you want to try out the Demo environment, please join the DataSphere Studio community user group (Please refer to the end of the document), and contact WeDataSphere Group Robot to get an invitation code.

       DataSphereStudio Demo environment login page: [click me to enter](http