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Data Migration: Process, Types, and Golden Rules to Know

Altexsoft

In general terms, data migration is the transfer of the existing historical data to new storage, system, or file format. It involves a lot of preparation and post-migration activities including planning, creating backups, quality testing, and validation of results. What makes companies migrate their data assets.

Data 104
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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

Data ingestion means taking data from several sources and moving it to a target system without any transformation. So it can be a part of data integration or a separate process aiming at transporting information in its initial form. For this task, you need a dedicated specialist — a data engineer or ETL developer.

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Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Altexsoft

Data is a valuable source that needs management. If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business.

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Data Migration Software: Which Solution Fits Your Project Best

Altexsoft

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Phases of the data migration process. Data sources and destinations.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

For example, your business may not require 99.999% uptime on a generative AI application, so the additional recovery time associated to recovery using AWS Backup with Amazon S3 Glacier may be an acceptable risk.