Metadata-driven data integration framework

Enterprises are increasingly struggling to accomplish the goal of data at scale, primarily due to reasons like difficulty in adopting a technology-focused approach, absence of data lake management, continuous evolution of technology, federation of data, constant integration with newer data sources, ensuring compliance, ensuring security, and meeting the need for an elastic and scalable platform. Enterprises need to unleash the full potential of their data assets to address these challenges and lead in the digital world. Investing in data foundation initiatives to foster a culture of data-based decisions is inevitable, and Infosys's Information Grid provides the necessary framework to build an enterprise data foundation.
 
Infosys's Information Grid is a metadata-driven framework leveraging AWS-native services for accelerating data ingestion, data processing, egress of data, and data quality management. It helps in creating intelligent flows driven by metadata and decoupled core and runtime components.
Infosys

AWS Partner Network | Competency

Availability

Australia, Austria, Belgium, Brazil, Canada, Denmark, Finland, France, Germany, India, Ireland, Italy, Japan, Jordan, Luxembourg, Netherlands, New Zealand, Portugal, Poland, Saudi Arabia, Singapore, South Africa, Spain, Sweden, Switzerland, United Arab Emirates, United Kingdom, United States

Benefits

Speed

Information Grid provides up to 100x speed through self-service data onboarding to the data lake.

Scalability

Metadata-driven framework with distributed processing and cloud-native platform services.

Security

Aligned to enterprise security standards and seamless runtime integration with cloud key stores.

Reliability

Comprehensive data lake management capabilities to ensure data reliability.

  • How it works
  • Key activities
  • Customer contribution
  • About this consultant
  • Architecture diagram
  • How it works
  • When it was created, Information Grid was a one-of-a-kind platform with no other product offering a similar breadth of features across the data life cycle. Infosys continues to evaluate the market trends and competitor landscape to evolve the solution roadmap. Even with a highly competitive landscape, Infosys's Information Grid offers the following key differentiators:

    Templatized data pipelining to accelerate data onboarding: Infosys adopts a design approach that relies on metadata-driven templates to enable data analysts to quickly stitch together data pipelines required for consumption. It provides a completely codeless interface for creating pipelines, enabling nontechnical users to build data pipelines
    Design once, run anywhere: Information Grid, with prefabricated templates and platform agnostic data processing libraries, has decoupled pipeline design and execution engine; in other words, Information Grid can be used with on-premises as well as the AWS Cloud
    Extreme automation and DevOps: Information Grid helps any functional user to auto-generate and provision data pipelines, data transformation logic, and infrastructure through its intuitive user interface and extreme automation capabilities
    ML-based services to build intelligent data pipelines: ML-based services for data mapping, data quality (DQ) rule mapping, data cleansing, and profiling
    Platform-agnostic: Information Grid is extensible and can operate with cross-platform technologies including Python, Shell, Java, Scala, and Rest API
    Customizable: Information Grid includes a solution codebase that is open for customization to the customer as per their individual need
    Lower TCO: Information Grid can bring up to 50% reduction in overall TCO compared to traditional ETL tools

    Infosys leverages proprietary Re-Imagine, Industrialize, Optimize (RIO) framework for customer deployments. This framework primarily consists of 3 phases: 

    Reimagine
    This phase involves assessment of customer’s data and analytics landscape, needs, and business priorities followed by solution blueprinting for the future state involving architecture definition, tool evaluation, roadmap creation, use case identification, and business value articulation.

    Industrialize
    This phase is primarily focused on laying the foundational capabilities required for realizing the blueprint created as part of the Reimagine phase. The primary activities involved in this phase include:
    • Deployment of the various technology components identified as part of the architecture blueprint including Infosys Information Grid (IIG)
    • Integrating IIG with the customer data and analytics landscape involving
    • Customizing IIG as per customer specific needs
    • Training and enablement
    • Pilot project support

    Optimize
    The optimize phase helps our customers to execute in a hyper-agile fashion, leveraging a lean organization. The primary activities involved in this phase include:
    • Implementation of agile DevOps processes around IIG pipelines
    • Automation of IIG operational tasks such as monitoring, failover, restart ability, and more

  • Key activities
  • 1) Set up metadata database

    Provision and set up Amazon RDS Aurora MySQL database which will be used as Information Grid metadata.

    2) Set up Information Grid libraries

    Set up Information Grid using automated deployment script on AWS Cloud.

    3) Set up scheduler

    Create Amazon MWAA with Amazon S3 bucket attached and configure as per Information Grid requirement.

    4) Configure source target connections

    Configure source and target data warehouse connection details in Information Grid user interface.

    5) Configure processing steps

    Configure processing steps for source and target mapping with join, filter, lookup, DQ rule, and aggregation.

    6) Configure processing flow

    Configure data flow, defining schedule and sequence of execution in Airflow through IIG user interface.

    7) Verify and check

    User can view execution history to check the status of ingestion job and also troubleshoot for error log.

  • Customer contribution
  • AWS account

    AWS account with Amazon EC2, Amazon S3, Amazon Managed Workflows for Apache Airflow, Amazon EMR, and Amazon RDS.

    SME availability

    SME availability for requirements elicitation, infrastructure provisioning, and user acceptance testing.

  • About this consultant
  • Infosys specializes in digital services and consulting and enables customers in more than 50 countries to navigate their digital transformation. With nearly four decades of experience in managing the systems and workings of global enterprises, Infosys expertly steers its customers through their digital journey. Infosys enables enterprises with an AI-powered core that helps prioritize the execution of change. Infosys also empowers the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Infosys consultants' always-on learning agenda drives customers' continuous improvement through building and transferring digital skills, expertise, and ideas from the Infosys innovation ecosystem. Infosys is an AWS Premier Partner offering consulting services and an AWS Managed Service Provider Partner, and has achieved the AWS Data & Analytics and AWS DevOps Competencies, among others. Infosys offers integrated consulting and technology solutions where IT and business services are delivered on demand using cloud technologies. Infosys ensures that customers receive the right expertise and tools for migration, transformation, and management of workloads on the AWS Cloud, building successful businesses in the process.

    Leveraging Infosys Cobalt, a set of services, solutions and platforms for enterprises to accelerate their cloud journey, Infosys brings together AWS capabilities needed to drive customers’ business and IT priorities through comprehensive cloud offerings—from setting up the foundational layers to managing the complete infrastructure and application stack. Infosys's proven suite of AWS services, industry blueprints, and platforms, together with Infosys consultants' experience in successfully completing hundreds of cloud transformation programs, have enabled enterprises to increase business agility and improve the resilience of their IT landscape. 

  • Architecture diagram

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Infosys’s AWS validated qualifications, customer references, and office locations.

AWS Competency Details

Infosys has demonstrated deep AWS technical expertise and proven customer success.

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