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Comprehensive AI Security Strategy to Ensure Data Integrity

NexusTek

In this white paper, we will explore the critical security implications of data sharing and access when implementing AI applications in business environments.

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How to Effectively and Efficiently Migrate to the Cloud

Zerto

Understanding the Cloud Migration Process Before diving into the specifics of using Zerto for cloud migration, it’s essential to understand the basic steps involved in the process: Assessment and planning: Assess your current infrastructure, applications, and data to determine which workloads are suitable for migration to the cloud.

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How to Successfully Manage a File Migration

Pure Storage

This means delving deep into your data landscape and uncovering the following critical information: Types of files: Identify the various types of files you’re dealing with, such as documents, images, videos, or application data. Data integrity is paramount. File locations: Determine where these files reside.

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Denormalized vs. Normalized Data

Pure Storage

Denormalization involves combining tables that have been normalized to improve query performance and simplify data retrieval. The choice between the two depends on the specific requirements of the application and the balance between data consistency and system performance, but both play a very important role in data management.

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How to Avoid the Common Risks of Implementing New Software

Reciprocity

5 Key Risks of Implementing New Software In project management, planning is critical – and yet, too many companies fail to create comprehensive plans, and then the application doesn’t deliver its expected outcomes. Does the new ERP software or CRM platform require data to be migrated from an old system? You don’t need to customize it.

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Unveiling the Importance of Power BI Backup: Safeguarding Your Data’s Future

Zerto

Backing up Power BI content provides organizations with a restore point to recover quickly from data loss incidents and minimize downtime. Overall, backing up Power BI data is crucial for maintaining data integrity, ensuring compliance, and safeguarding business continuity in the face of unexpected events.

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OLAP vs. OLTP: Comparing Data Processing Systems

Pure Storage

These systems provide a systematic way to store, organize, and access information, allowing users to efficiently interact with and manipulate data for various purposes, such as analysis, reporting, and application development. The emphasis is on maintaining the consistency of the database in real time.