Key data management trends have emerged that are shaping the capabilities of IT products and services for 2020 and beyond. To help showcase innovative products and services each year, Database Trends and Applications magazine looks for offerings that promise to help organizations derive greater benefit from their data, make decisions faster, and do so with higher levels of security.
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The IT industry is going through a major shift from centralized data centers to dispersed deployments across a variety of cloud and on-premise platforms. At the same time, availability is becoming more critical. Recently, Dave Bermingham, technical evangelist of SIOS Technology, shared his views on the current state of high availability in the cloud, and what organizations need to do to ensure continuity of service. "When moving to the cloud, the first thing you will discover is that the traditional SAN-based failover cluster for HA is no longer an option," he noted.
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Database security has always been important, and with the compliance requirements of new regulations such as GDPR and California Consumer Privacy Act (CCPA), it's an issue that reaches across the organization, into the board room and to customers. This attention is putting new pressure on DBAs to secure production data and development and testing databases. Here are some relatively simple database security best practices and security checks that are easily executed, and can help organizations better understand and strengthen their defensive security posture
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Businesses have a great deal of experience developing and implementing data protection strategies that allow them to recover from attacks on their on-premise IT environments. However, increasingly, enterprises need to begin considering a new threat to their IT environments. This threat is malicious actors using "zero-day" vulnerabilities—vulnerabilities that are so new, they cannot be patched before they are exploited—to attack and bring down the major cloud providers that organizations are increasingly relying on to host critical applications and data.
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