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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? Using a Translation Company with Your Big Data Strategy.

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Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

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Data Governance Framework: What is it? Importance, Pillars and Best Practices

Astera

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

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Data Science vs Data Analytics: Key Differences

Astera

Analysts use data analytics to create detailed reports and dashboards that help businesses monitor key performance indicators (KPIs) and make data-driven decisions. Data analytics is typically more straightforward and less complex than data science, as it does not involve advanced machine learning algorithms or model building.

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Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing

Astera

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. It has some key differences in terms of data loading, data modeling, and data agility.

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

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Cloud Data Warehouse: A Comprehensive Guide

Astera

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications. We've got both!