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15 Backup and Disaster Recovery Best Practices to Consider

Solutions Review

Backup and disaster recovery (BDR) strategies are of paramount importance to enterprises due to their critical role in preserving data integrity, ensuring business continuity, and mitigating risks associated with various disruptions. Identify critical systems, applications, and data that need to be prioritized for backup and recovery.

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Cosmos DB vs. MongoDB

Pure Storage

Traditional relational databases still have their place, but in scenarios where scalability, flexibility, and high performance are essential, NoSQL databases—which began a meteoric rise in popularity around the beginning of the “ big data ” era in 2011—offer major advantages. What Is MongoDB on Azure?

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Oracle DBaaS Products Comparison

Pure Storage

The emergence of database as a service (DBaaS) has transformed the way organizations handle their data needs. In this article, we’ll explore the concept of DBaaS, compare it with other cloud service models, look into the key features offered by DBaaS providers, and provide an in-depth overview of Oracle’s DBaaS product lineup.

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The Future of Business Continuity: Innovations and Emerging Technologies

Erwood Group

Predictive Analytics for Risk Assessment: How it Works: AI algorithms analyze historical data, identify patterns, and predict potential risks and disruptions. Application: Predictive analytics enables organizations to rapidly assess risks and proactively implement measures to mitigate the impact of potential disruptions.

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Expert Reveals 3 Data Loss Prevention Best Practices to Know

Solutions Review

Solutions Review’s Expert Insights Series is a collection of contributed articles written by industry experts in enterprise software categories. In this feature, Arcserve Director of Product Management Ahsan Siddiqui offers the essential data loss prevention best practices to know right now.

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Risk Assessment vs Risk Analysis

Reciprocity

Just as we explain in our article on risk appetite versus risk tolerance , these are relevant terms you should review. A risk assessment evaluates all the potential risks to your organization’s ability to do business. This includes potential threats to information systems, devices, applications, and networks. What is Risk?

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Exploring the Differences: Multi-dimensional Modeling vs Relational Modeling in Analytical Systems

Advancing Analytics

Microsoft - Understand star schema and the importance for Power BI - Power BI | Microsoft Learn Multi-dimensional modeling is a powerful technique for organizing and analyzing data in a way that is intuitive and easy to understand. In this article, we will explore the reasons why RI may not be necessary in analytical systems.