Riding the Data Privacy Wave: How Will You Stay Afloat?

Leveraging business data as a valuable asset is no longer a debated concept – it’s a broadly adopted, competitive undertaking that’s part and parcel to cloud modernization. Today, if there’s one thing that defines competitive advantage in the data analytics arena it’s streaming data platforms. Older approaches employing batch-only analytics, brittle ETL pipelines, and the latency they can introduce just don’t cut it anymore. Cloud-Modernized Analytics are poised to step in and take over.

Big data technologies can be both complex and involve time consuming manual processes. Organizations that intelligently automate big data operations lower their costs, make their teams more productive, scale more efficiently, and reduce the risk of failure.

The criticality of becoming a data-driven enterprise is a given. But there are multiple data, security and governance approaches to get there. Which should you choose? Learn the challenges of implementing a Data Lake and the benefits of a modern Data Mesh approach with AWS. Hear from AWS Senior Partner Solutions Architect, Ayan Ray, and Privacera Director of Sales Engineering, Lovelesh Chawla, as they discuss the importance of implementing a modern unified data security governance platform. Manage, secure, and automate data access, security, and compliance simply and consistently across your entire data mesh on AWS.

As companies invested in their digital transformations, one side effect was the proliferation of data environments and varying database instances. With so many systems to navigate, many organizations have fallen prey to operational disruptions and now struggle to achieve the high level of performance and scalability that their transformations promised.