Build a scalable foundation for enterprise data
Enterprise data is often distributed across SAP systems, databases, cloud platforms, e-commerce applications and other business tools. Without a clear strategy, this can create data silos, poor data quality and infrastructures that are difficult to scale.
In this TechTalk, Antonio Valladares and Manuele Borghin explain how data engineering helps organizations collect, clean, structure and make enterprise data available for analytics and better business decisions.
The session explores how companies can connect SAP and non-SAP sources, build reliable data pipelines and create an architecture capable of supporting business intelligence, real-time analytics, artificial intelligence and machine learning.
What you will learn in the session
Antonio and Manuele discuss the main challenges companies face when working with enterprise data, from isolated systems and unreliable information to the lack of infrastructure and specialist knowledge.
They also present a practical architecture for integrating multiple data sources using technologies such as SAP Datasphere, Databricks, Apache Spark, Apache Airflow, dbt, Amazon S3 and Amazon Redshift. The session explains how these components can prepare data for visualization tools such as Power BI or Tableau while providing the accessibility and scalability required for future use cases.
Access the webinar recording
Complete the form to access the recording and learn how to transform fragmented enterprise data into a scalable foundation for analytics, automation and AI.
