Eviden SAP to Data Lake Accelerator to Azure: 2-3 Months Implementation

Eviden International France - SAS

Our SAP Data Lake Accelerator allow companies to obtain valuable information from their existing SAP platforms and effortlessly integrate it into a modern, data-centric platform.

Our SAP Data Lake Accelerator enables organizations to extract valuable data from their existing SAP environment and seamlessly integrate it into a modern, data-centric platform powered by Microsoft Azure. This integration allows businesses to combine SAP data with other datasets, unlocking valuable insights and driving impactful business decisions. Our solution accelerates analytics capabilities, breaks down data silos, and enhances overall organizational efficiency and effectiveness.

Modularity and Reusability:
SAP DLA has modular and reusable data transformation code. You can define models once and reuse them across different projects, which improves code consistency and reduces duplication efforts.

Maintainable Codebase:
With its focus on modularity, version control, and testing, the project enables creating and maintaining a clean and maintainable codebase for data transformations, reducing technical debt over time.

Scalability:
The SAP DLA accelerator project is highly scalable for processing large datasets and handling complex transformations. It can be deployed on any cloud-based infrastructure and uses modern data warehouses (it supports multi-cloud).

Data Lineage and Impact Analysis:
SAP DLA accelerator automatically tracks data lineage, making it easier to understand the origin of data and the transformations applied to it. It also enables impact analysis, helping users understand how changes to the data models affect downstream reports and analyses.

Data observability:
Improves data reliability and reduces data downtime. SAP DLA has predefined tests and freshness checks, validates data quality, and ensures the accuracy of transformations.

Documentation:
It also allows the generation of documentation for data models, making it easier for team members/stakeholders to understand and use the data.

Data Build Tool (dbt):
SAP DLA is built using dbt, which is an open-source data transformation tool that is designed to transform raw data into clean, actionable datasets within your data warehouse.

SAP Data Lake Accelerator will utilize Azure ADLS (Azure Data Lake storage), Azure VM & Azure Synapse Analytics that will help with data storage, analytics, and much more.

Benefits:

  • Agile, secure, and repeatable deployment solution for speed-to-market
  • Combine SAP data sources with non-SAP data sources
  • Leverage foundational building blocks for strategic data and analytics platform
  • Faster implementation in weeks
  • Cost-effective and scalable solution with robust data governance standards to address the needs of a diverse user group/persons comprising data analysts, business analysts, power users, line managers, and executives
  • Automated and scalable process to accommodate current and future business requirements Comprehensive analysis out-of-the-box for immediate ROI
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