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Maintaining Data Integrity During Integration

Click to learn more about author Ibrahim Surani Every organization integrates and shares data with multiple systems, processes, and individuals. With data being generated and consumed at unprecedented levels, the challenge is ensuring its integrity before it’s processed or fed into reporting and analytics databases. Consider a scenario, where you have to decide whether to […]

Graph Databases vs. Key-Value Databases

Graph databases and key-value databases have very different features and are used for accomplishing different tasks. Key-value databases are streamlined and fast, but are limited and not as flexible. Graph databases, on the other hand, are very flexible and great for research, but not terribly fast. Both typically use a non-relational foundation. The two key […]

The Data-Centric Zero Trust Paradigm

Click to learn more about author Leonid Sandler. Traditional cybersecurity product categories separate data protection products from network security and cloud workload protection. The reasons go back to the history of the cybertechnology evolution and the major technology players’ spheres of influence. Ultimately, of course, the biggest motivation for any cybersecurity product across any of […]

Optimizing the Data Warehouse

The data warehouse, a relational database technology, makes all enterprise information actionable, and will continue to be prominent as a Data Architecture component. In the 2000s, a typical business would consolidate data from multiple relational databases, centralizing all this information through a data warehouse, and consequently streamlining business tasks. However, the business context has shifted […]

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