You have questions. We have answers. Use the menu below to explore and filter our library of complimentary white papers, analyst reports, recorded webinars, and videos.

Succeeding with Data Lakes in the Cloud

The advantages of cloud’s scalability, lower costs and faster time-to-market are widely appealing. There are many factors to consider, from integration & security, to features & deployment. Watch this on-demand webinar to learn how to succeed with cloud data lakes ​​​

Speeding Analytics with Spark, Data Lakes and CDC

Watch this TDWI on-demand webinar to learn how your organization can up its game when it comes to operational reporting and analytics. Lead by David Stodder, Senior Director of TDWI Research for business intelligence, this session discusses key trends in enabling technology and practices that enable IT teams to deliver the real-time updates and insights needed to optimize and grow the business.

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.

Bitmarck Fallstudie

Lesen Sie in dieser Fallstudie, wie Bitmarck, der größte Full-Service-Dienstleister im deutschen IT-Markt für gesetzliche Krankenkassen, Attunity Replicate und Microsoft SQL Server einsetzt, um seinen Kunden Self-Service und Echtzeit-BI zu ermöglichen und um gleichzeitig 50% der Zeit für die Datenerfassung und Modellerstellung einzusparen.

Fanatics Ingests Streaming Data to a Data Lake on AWS

Watch this on-demand webinar to learn how Fanatics, the global leader in licensed sports merchandise, ingests real-time data to a data lake on Amazon S3 for analytics. The webinar features data science experts from Fanatics, AWS and Attunity.​

Dorman Products Case Study

Attunity Gold Client enables Dorman Products to significantly reduce the time needed for root cause analysis of large order problems and the data prep time required for testing efforts. Read the case study to learn more.

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