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2 Why is security important for a data warehouse? ..................................... 2 Oracle's strategy for data warehouse security............................................ 3 Consolidation as an enabler of security ................................................. 4 Data Warehouse Security.............................................................................. 5 Controlling Access to Warehouse Data................................................. 5 Role-based Access Control .
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Scalability FAQ
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Data breaches, unauthorized access, data corruption, and compliance violations are some of the potential threats that can compromise the integrity, availability, and confidentiality of your data warehouse.
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Authentication, encryption, and passwords are high on the list of critical importance when preventing data breaches.
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However, data warehouses also pose significant security risks, such as unauthorized access, data leakage, corruption, or loss. Therefore, it is essential to secure your data warehouse development and maintenance lifecycle, from design to deployment and beyond.
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When we discuss data and information, we must consider the CIA triad. The CIA triad refers to an information security model made up of the three main components: confidentiality, integrity and availability.
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Security affects the overall application development and it also affects the design of the important components of the data warehouse such as load manager, warehouse manager, and query manager. The load manager may require checking code to filter record and place them in different locations.
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Answer and Explanation: Different types of data security include hardware security, software security, and legal security. For example, a hardware device may only allow people having a certain device to read data.
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The basic argument was that data protection centers around three control areas: Authentication. Authorization. Access Auditing and Analysis.
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What are the types of data security? Some of the most common types of data security, which organizations should look to combine to ensure they have the best possible strategy, include: encryption, data erasure, data masking, and data resiliency.
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