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Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Amazon Data Pipeline Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Cerberus Technology Solutions United Kingdom Professional Services 15 $5M United Kingdom Amazon Web Services (AWS) Amazon Data Pipeline Analytics and BI 2018 n/a In 2018 Cerberus Technology Solutions United Kingdom implemented Amazon Data Pipeline to orchestrate extract transform and load workflows into a cloud data warehouse supporting an iGaming use case in the UK and EMEA region, Apps Category . The deployment centralized orchestration for EMR job flows and bulk loads into Amazon Redshift, enabling scheduled batch processing and upstream transformation logic for clickstream, marketing and support data. Amazon Data Pipeline was configured to coordinate EMR processing stages and Redshift ingestion, with functional modules inferred from the architecture including job orchestration, scheduling, data staging and load orchestration. The solution ingests clickstream events and marketing and support datasets, applies transformation jobs on EMR, and lands curated tables in Amazon Redshift for downstream analytics and reporting workloads. Operational coverage focused on analytics, marketing and support functions and was executed by a lean engineering team, delivering a scalable analytics platform quickly in the UK and EMEA region. Governance centered on pipeline scheduling and workload orchestration controls within AWS, with configuration and environment separation to support production and ETL workflows. Amazon Data Pipeline, EMR and Amazon Redshift were the core components of the implementation and underpin the companys analytics pipeline architecture.
Coursera Education 1260 $695M United States Amazon Web Services (AWS) Amazon Data Pipeline Analytics and BI 2015 n/a In 2015, Coursera deployed Amazon Data Pipeline to orchestrate large scale ETL into Amazon Redshift for analytics and data warehousing. Apps Category: Coursera ran more than 150 pipelines that load over 300 tables daily and process several terabytes of data, supporting analytics for product, recommendations and search across its US based global platform. The implementation emphasized automated, fault tolerant ETL with scheduling, retry and monitoring workflows built into Amazon Data Pipeline and native data movement into Amazon Redshift. Operational coverage focused on analytics and data warehousing functions and the rollout delivered automated fault tolerant pipelines that improved data freshness and developer productivity.
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