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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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The Best Data Pipeline Tools List for 2023 

Astera

Real-time pipelines enable immediate analysis and response to emerging trends, anomalies, or events, making them critical for applications like fraud detection, real-time analytics, and monitoring systems. Extract, Transform, Load (ETL) Pipelines : ETL pipelines are widely used for data integration and data warehousing.

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Auditing Database Access and Change

The Data Administration Newsletter

And nowhere is the pressure to comply with regulations greater than on data stored in corporate databases. Organizations must be hyper-vigilant as they implement controls to protect and monitor their data. One of the more useful […]

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How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

Big Data Ecosystem. Big data paved the way for organizations to get better at what they do. Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. Data Management. Unscalable data architecture.

Big Data 130
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DBA Success Requires More Than Tech Ability

The Data Administration Newsletter

As such, DBAs are tasked with designing, implementing, and administering databases, but also performance monitoring, backup […]. The DBA is the information technician responsible for ensuring the ongoing operational functionality and efficiency of an organization’s databases and the applications that access those databases.

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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.

Agile 52
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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.  Users should only load the relevant, accurate, and useful data for their business needs.