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From Documentum to Document Management

Argon Digital

While not every business or agency has quite this level of document management overhead, dealing with paper forms and disorganized electronic documents costs time, money, risk, and employee burnout. From a metal cabinet to digital document management. Modern content management features.

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Document Data Extraction 101: Understanding the Basics

Astera

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

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What is a database?

Astera

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. These databases are suitable for managing semi-structured or unstructured data.

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Data Vault 2.0: What You Need to Know

Astera

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What’s New in Data Vault 2.0? Data Vault 2.0

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The Best Talend Alternatives & Competitors to Consider in 2024

Astera

While there’s community support for its open-source solution, Talend Open Studio, the documentation lacks depth, which makes it even more difficult for business users. Its platform includes: ReportMiner for unstructured data extraction in bulk. Centerprise for data integration and building and orchestrating data pipelines.

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What Is Data Processing? Definition and Stages

Astera

Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents. Try it Now!

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Unifying Data from Multiple Sources: Data Integration and Data Consolidation in Data Preparation 

Astera

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.