data replication

image cloud computing

Seamless Data Migration from Custom Objects with Fivetran Organizations need data freedom and the ability to access and gain insights from their data whenever needed. Extracting data from SAP systems can reveal valuable insights into various processes, but this task is challenging due to complex configurations, strict security protocols, and unique data types. Handling custom-developed Z transactions and refactoring business logic for new destinations, such as data warehouses or lakes, adds another layer of complexity. Fivetran simplifies this process by using a log-based replication approach that incurs minimal system overhead, ensuring efficient and reliable data capture. It addresses SAP scalability challenges by allowing logic development in cloud environments, where skilled data engineers are more accessible. Fivetran's solutions reduce the time and resources needed for data extraction and replication, eliminating the need for custom integrations and enabling organizations to quickly transfer data to the cloud, thus accelerating insight derivation and informed decision-making.

By Suparna Chawla Bhasin

Jul 30, 2024

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3 minute read

Master Data Automation

Cemex Transforms Global SAP Data Delivery and Reduces Time to Insights with Fivetran Cemex, a global construction materials company, sought a sustainable and scalable cloud-based solution for their data needs. Previously relying on a SAP-centric data architecture, Cemex required near real-time insights into its global sales and commercial operations, which their older system couldn't provide efficiently. They partnered with Fivetran to integrate their SAP data into Snowflake, granting business analysts near real-time visibility for over 4,000 tables. This transformation, supported by Microsoft Power BI, enabled real-time data access across markets, significantly reducing the need for extensive data consultant teams. Fivetran's high-volume replication allowed rapid data extraction from global SAP systems, providing actionable insights within minutes. This new architecture facilitated a comprehensive view of customer interactions and streamlined personalized services. It also enabled Cemex to closely monitor sustainability KPIs, earning recognition for its environmental efforts. The enhanced system supports advanced AI/ML use cases, with several pilot projects underway, demonstrating the success of Cemex's data-driven strategy.

By Suparna Chawla Bhasin

Jun 18, 2024

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2 minute read