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Many enterprises are facing challenges in bridging disparate data sources to fuel analytics, predictive analytics, and real-time actionable insights. While big data technologies such as Hadoop and Spark have helped to overcome some data challenges, moving all data into a single data lake has not been doable. Big data fabric is a new architecture that leverages catalog, metadata, and modeling to ingest, integrate, process, transform, and govern various data sources, whether on-premises or cloud, to deliver consistent, trusted, and secure data to support various big data use cases. This webinar covers trends, adoption, use cases, and the vendor landscape.
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Increasing data volume is creating new challenges in integration, security, curation, administration, and governance. Business users want real-time trusted data to make accurate business decisions, while technology management wants to simplify administrat
Enterprise architecture is an important organizational interlock for security teams. To help better understand this, Vice President, Research Director Charlie Betz and Senior Analyst Carlos Rivera walk us through their research on the opportunities for collaboration between enterprise architecture and security to help security professionals better understand what the crossover is and what CISOs need to know to have a collaborative partnership. In this fireside chat, we identify links between Charlie’s research on enterprise architecture with the priorities of the security organization.Key takeaways:How enterprise architecture can help support the security teamHow security can help support enterprise architectureHow enterprise architecture can be an important stakeholder in Zero TrustTarget audience level: intermediate
So, your enterprise wants to become data-driven. You can implement the best data platforms, hire great people, and use the most sophisticated analysis techniques, but it’s all for naught if faulty analysis and human cognitive biases get in the way. The result? Poor business insights and data-driven decisions. Join this webinar to learn about seven data analysis failures to avoid. How many of these seven do you and/or your organization succumb to?Key takeaways: How human cognitive biases can lead to poor data analysis Seven data analysis failures to avoid (or exploit) Target level audience: beginner and intermediate
Cloud workload security (CWS) — including cloud security posture management, container security, and cloud workload protection — plays a very important role in migrating and maintaining security for cloud workloads. This webinar provides a market overview and high-level best practices for CWS deployment. Key takeaways: Get an overview of Forrester's cloud workload security evaluation. Review vendor profiles. Learn best practices. Discover Forrester’s predictions. Target audience level: beginner and intermediate
