Application Architecture Data Integrity Information 
Pure Storage
DECEMBER 14, 2023
Discovery: Know Your Data Inside and Out Before diving headfirst into the migration process, it’s absolutely essential to have a clear understanding of your data. Data integrity is paramount. Network Topology: Navigating the Network Understand the network architecture, bandwidth, and potential bottlenecks.
Pure Storage
DECEMBER 4, 2023
Built on Microsoft Azure, it offers a fully managed service that enables businesses to store and retrieve structured or semi-structured data in the cloud. This service is particularly well-suited for applications requiring high availability and consistent performance, making it an ideal choice for businesses of all sizes.
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Pure Storage
AUGUST 3, 2023
The STRIDE methodology provides a structured approach to threat modeling that can be easily integrated into the SDLC. Tampering: Tampering refers to the ability of an attacker to modify data or software without detection. This can be a serious threat to data integrity and system availability.
Pure Storage
NOVEMBER 3, 2021
Data architects design how the new data fields fit into the canonical enterprise data model and master customer data model. Data stewards identify and define the items in the business glossary. Data operations produce a catalog with the new metadata information.
Solutions Review
FEBRUARY 24, 2022
As IT departments gear up with data protection tools and tactics to secure data and adhere to compliance regulations, the role of data health in storage is often overlooked. Storage architectures do more than protect data and mitigate security risks. What is Data Protection? our Premium Content Series.
Security Industry Association
NOVEMBER 16, 2023
Technology: A public safety workforce needs real-time access to accurate information to perform at peak performance. We use our broad experience in public safety and security technologies to assess legacy environments and create functional and technical architectures.
Erwood Group
FEBRUARY 4, 2024
The information below outlines the potential future use of these technologies and in some cases how they are being employed today. Predictive Analytics for Risk Assessment: How it Works: AI algorithms analyze historical data, identify patterns, and predict potential risks and disruptions.
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