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Analyst Report

Data in Motion: Orchestrating File Transfers and Data Pipelines in the Cloud Era

In a world where digital transformation drives every aspect of business, managing data across complex, multi-cloud environments is more critical than ever. "Data in Motion" research offers an in-depth exploration of the latest trends, challenges, and technologies that are reshaping how enterprises orchestrate file transfers and data pipelines. Authored by Dan Twing, president and COO of Enterprise Management Associates (EMA), this report is a must-read for IT executives, data architects, and cloud strategists looking to build resilient, compliant, and scalable data movement strategies.

What You’ll Discover in This Report

Gain actionable insights and data-driven strategies on topics including: 

  • Emerging Trends in Data Movement 

Discover the pivotal shifts transforming enterprise data transfer, especially the integration of multi-cloud environments and the impact of digital transformation on data flow requirements. 

  • The Expanding Role of Workload Automation (WLA) and Managed File Transfer (MFT) 

Learn how WLA and MFT technologies are evolving to meet growing demands for efficiency, compliance, and scalability in enterprise data transfer workflows. 

Key Findings from the EMA Research

This report unveils the intensifying demands digital transformation places on data movement and file transfer solutions, with growing data volumes and the necessity for real-time data access pushing organizations toward more advanced and resilient solutions. Compliance and security also emerge as top priorities, as organizations strive to meet stringent regulatory standards. Additionally, real-time data integration is gaining traction, empowering businesses to enhance agility and responsiveness in a fast-paced, data-driven landscape. 

Download the Report Now

Download "Data in Motion" research to explore these insights and strengthen your data movement capabilities in an increasingly digital and cloud-driven era. 

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OrchestrationWorkload Automation

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