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Implementing GDPR in SAP Environments

Since May 2018, the General Data Protection Regulation (GDPR) has governed how data privacy is regulated throughout the European Union. While these regulations are broad and thorough, they are open to interpretation and lack specificity regarding implementation. This white paper is designed to help companies running SAP understand what data might be at risk and how to implement GDPR compliance policies regarding production and non-production SAP application data.

Getting GDPR Right – Knowledge Brief by The Bloor Group

Read this solution brief by The Bloor Group to learn how solutions like Attunity Gold Client can quickly and efficiently anonymize customer records across the SAP landscape for GDPR compliance while also reducing expenditures and minimizing resource usage.

Streaming Operational Data to Cloud Data Lakes

This technical whitepaper by Radiant Advisors covers key findings from their work with a network of Fortune 1000 companies and clients from various industries, to assess these trends. The research includes distilling real-world examples into patterns for success in modern data integration, designed to help enterprises understand how to maximize the use of streaming data. Accordingly, this paper also clarifies the importance and value of populating a cloud-based data lake with streaming operational data, leveraging database replication and modern data integration techniques.

Apache NiFi For Dummies

Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It provides an end-to-end platform that can collect, curate, analyze, and act on data in real-time, on-premises, or in the cloud with a drag-and-drop visual interface. This book offers you an overview of NiFi along with common use cases to help you get started, debug, and manage your own dataflows.

Five Principles for Effectively Managing Your Data Lake Pipeline

IT departments face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Consolidating data in bulk or real-time from hundreds or thousands of sources creates management complexity and source production impact.  Many organizations lack the ETL and Hadoop coding skills required to replicate data across these large environments. Attunity provides automated Data Lake pipelines that accelerate and streamline your data lake ingestion ​efforts, enabling IT to deliver more data, ready for agile analytics, to the business.

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