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LOW-CODE NO-CODE

Visualized Drag & Drop for End to End Migration

Low-code No-code

Low-code No-code is a visual and hassle-free approach to software development in order to build applications and processes. Low-code no-code abstracts, automates and optimizes every step of a process and enables rapid delivery of any software solution.
Low-code No-code

The low-code and no-code platforms are designed to make it relatively easy for people to design, build, and launch applications quickly, without having to worry about the nuances of underlying operating systems or scalability requirements for users with little or development experience -- so-called "citizen developers" -- as well as still serving the needs of professional developers hard-pressed to deliver apps in extremely tight timeframes.

Idea migration

Low-code No-code

This service offers data democratization which is one of the most critical aspect of data mastery for

  • Enterprise grade Server-less LCNC for Legacy DWH Migration to Cloud
  • Enterprise grade Server-less LCNC for Cloud based Modern Data Fabric (Industrialized Ingestion & Cloud Data Foundation
  • Enterprise grade Server-less LCNC for Data Operation Audit and Controls
  • Enterprise grade Server-less LCNC for AI/ML & Ontology
  • Enterprise grade Server-less LCNC for Platform Foundation

Low-code No-code Features

A brief summary

Drag-and-Drop
Interfaces

Visual Modeling
Tools

Out-Of-The-Box
functionality

Security

Reusability

Application Lifecycle
Management

Drag-and-Drop Interfaces

Drag and drop is most useful and important features that enables an easy development process.

Drag and drop is a pointing device gesture in which the user selects a virtual object by "grabbing" it and dragging it to a different location or onto another virtual object.

In general, it can be used to invoke many kinds of actions, or create various types of associations between two abstract objects.

It enables user to visualise jobs and allows to connect different services just by simple drag and drop instead of going through different services UI which helps to save time and enhance the transparency of ongoing jobs structures.

drg-n-drop

Visual Modeling Tools

Creating apps using visual methods and models is faster than developing them using code.

Drag and drop feature and an interactive UI enables professionals to use the platform for data migration, data ingestion, data pipeline management ,etc efficiently.

Having an exclusive UI lets user visualise how different activities are performing on the platform only with a few clicks. There is no need to think about security in the model ,which increases flexibility.

  • Utilize existing pipelines for data ingestion or migration faster.
  • Empower non-technical experts to participate in process of migration/ingestion.
  • Better coordination and decision-making among cross-functional teams.
  • Hassle-free UI ,thus enabling professionals to work on more complex task that have high priority.
  • The dynamic monitoring dashboard enhances transparency and thus helps in the optimization of tasks.

Out-Of-The-Box Functionality

This service offers the functionality that eliminates the need to build core modules for apps from scratch.

One of LCNC's value propositions is to make complicated connections between internal business applications and those of third parties simpler, and this has made it possible for businesses with legacy systems to start their digital transformation by opting to cloud services.

Out of the box capability enables user to facilitate modernization of legacy environment and also helps in big data analytics. As compared to conventional approach involving working with internal IT team or third party provider, this shortens the processing time for data migration/ ingestion/ streaming, data analytics (AI).

This feature ,combined with reusability ,enables the user to use existing data pipelines or modules/services without building them from scratch.

Security

This service offers secured development & deployment within a framework that supports best practices for authorization and authentication mechanisms and data encryption services.

Our platform offers an Onion security framework which covers

  • Authentication for users, APIs and services.
  • Federated User Authentication, Identity Management & SSO.
  • Support for external identity providers (IdP) – SAML or OpenID Connect, social identity providers (such as Facebook, Twitter) , OAuth, LDAP, AD, Kerberos.
  • API Authentication | API ACL | API Rate limiting | Protocol translation.
  • Docker daemon security | Orchestration system security - Namespace Isolation | Network Policy Isolation | Worker Node Isolation | RBAC & Policy Driven Access to Resource.
  • Data Encryption at rest | Data encryption in transit.
  • SSL/TLS based encryption for node-to-node and client communications.
  • Threat detection & protection - Intrusion Detection | Vulnerability Scanning | File integrity checking | Log inspection.
  • Regulatory Compliance – GDPR.
  • DataBases - Hosted in a Private Subnet with Access controlled and tightened via IAM, Security Groups | Encryption enabled with Encryption Key | Automatic Snapshots & Backups | Audit Logging | Enhanced VPC Routing.

Reusability

Usage of pre-configured modules and functionality allows users to reuse prebuilt or newly-developed modules, plug-ins, and entire applications to develop necessary apps faster.

With different needs of customers ,there is a need for customization which is possible with reusability of UI components. Our platform is designed in such a way that enables the user to apply the benefits of reusable or interchangeable components ,such as using link services for different pipelines going for different data flows.

The reusable components found on electric circuits can be compared to standard UI components such as pipeline etc. which can be used for different purposes.

  • Scale as you want with reusability , there is no dependency on flexibility of platform in context of performance and features can be added or manipulated according to demand.
  • Saves time since these components are already used and tested which saves lot of time in measuring their performance and security and enables professionals to focus only on other aspects such as business requirements and related customization.

Application Lifecycle Management

Simplify and streamline several stages in the software development lifecycle, such as debugging, testing, and deployment.

Low-code supports all phases of the app development lifecycle with tools to streamline. Holistic low-code platforms incorporate Agile development practices and DevOps tools.

Whether you’re working on service or data pipeline with workflows and multiple integration. Our platform provides support, and services which are needed throughout the whole lifecycle of application .

It is open and extensible at every stage which enables the user to leverage existing components or pipelines for execution of services like migration or analytics.




Design for Industrialization

Service Benefits

Customize the data flow

Unlike traditional platforms, reusable components allow for customization and allow users to use them wherever and whenever they want.  

Efficient governance and risk management

downstream effects of increased effects lead to focus more on being updated with global compliances and quickly adapt to customer’s needs.

Shape a new way of developing

Enables strong IT-business partnership and enhances agility to act rapidly to cater to changing business and consumer demands.

Low Code No Code Data Pipeline creation.

With LCNC orchestration modules developers can drag and drop components on the canvas and easily build the data flows in the pipeline and generate DAGs with a click of a button.
LCNC stands for Low-Code No-Code. A low-code development platform provides a development environment used to create application software through a graphical user interface. A low-coded platform may produce entirely operational applications
The data migration service relies on Spark and Cloud specific native services like ADF, Glue. Spark clusters as well as ADF and Glue can auto-scale very fast, hence data migration services can scale for large data and the scaling also depends on the source scalability. For movement of a large volume of data, network utilization may shoot up and there is a dependency on network bandwidth between on-premises and cloud.
Yes, please contact the IDEA Support team.
Currently, IDEA uses Airflow. For other data workflow orchestration technologies, IDEA needs to be customized. Please contact IDEA Support team for placing your request.
Next Steps

To learn more about IDEA by Capgemini and how we can help make data your competitive edge.
Visit : www.capgemini.com/ideabycapgemini

  • Mukesh Jain
    IDEA Head
    mukesh.jain@capgemini.com


  • Harsh Vardhan
    IDEA Chief Digital Leader & Chief Technology Architect
    harsh.c.vardhan@capgemini.com

  • Eric Reich
    Offer Leader and Global Head AI & Data Engineering VP
    eric.reich@capgemini.com

  • Aurobindo Saha
    IDEA Principal Sales Architect
    aurobindo.saha@capgemini.com


  • Sameer Kolhatkar
    IDEA GTM Lead
    sameer.kolhatkar@capgemini.com


  • Sandip Brahmachari
    IDEA D&S Lead sandip.brahmachary@capgemini.com


  • Anupam Srivastava
    IDEA Engineering Lead
    anupam.a.srivastava@capgemini.com


  • Subramanian Srinivasan
    IDEA Shared Services Lead
    subramanian.srinivasan@capgemini.com