Nagarro's Enterprise Data Engineering Platform

In today's competitive market, data alone is not sufficient for business success. To turn data into actionable business insights, it is essential to trust, consolidate, and analyze data effectively. Nagarro’s Data Engineering Platform encourages the adoption of Azure Cloud Platform and Azure Services by ensuring seamless integration and deployment and addresses the challenges that your organization faces such as adapting to diverse data formats, managing growing data volumes, and addressing performance issues. The demand for flexible infrastructure to manage evolving data loads complicates scalability. Insufficient governance can hinder data availability, integrity, usability, and security, driving the need for Data Engineering Platforms that offer centralized solutions for data collection, storage, management, and analysis, with the capability to leverage Azure Cloud Platform.

Nagarro's Data Engineering Platform (DEP) simplifies data management and enhances data quality through standardized intake, sharing, and storage by utilizing Azure services like ADF, ADLS, Databricks, Azure SQL, Synapse, Data Flow etc. Data Engineering Platform enables your organization to improve data security, integration, and control, facilitating efficient internal and external data sharing. By leveraging DEP, organizations can swiftly analyze data, enabling data-driven decision-making, while seamlessly integrating with Azure cloud services for enhanced performance and scalability.

Key Features of the Data Engineering Platform and implementation outcomes:

1. Low Code Development • Ensures quick development of data integration with Azure Synapse pipelines, enhancing data-driven decision-making. • Reduces development costs and enhances productivity leading to increased control and efficiency in data sharing.

2. Cloud-Native Readiness • Eliminates the need for extensive modifications, facilitating smoother Azure cloud adoption. • Utilizes architectural design to scale on demand with Azure serverless services.

3. Data Mesh Design • Utilizes decentralized data ownership and self-serve infrastructure. • Implements federated data governance and ensures data reliability.

4. Declarative AI Integration • Facilitates seamless AI integration within the platform using Azure OpenAI and Llama models. • Focuses on desired outcomes, enhancing flexibility and scalability supporting scalable and agile data management.   Benefits: • Positions your organization to effectively utilize and integrate Azure cloud solutions, driving innovation and expanding Azure cloud capabilities. • Enhances data quality and reliability and enables swift analysis and actionable insights. • Simplifies data management processes and supports a flexible, scalable, and decentralized data approach.