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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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Testing and Monitoring Data Pipelines: Part Two

Dataversity

In part one of this article, we discussed how data testing can specifically test a data object (e.g., table, column, metadata) at one particular point in the data pipeline.

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What is Data Architecture? A Look at Importance, Types, & Components

Astera

What is Data Architecture? Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms.

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

Sisense

These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. The power of the customer graph keeps going.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Every company today is being asked to do more with less, and leaders need access to fresh, trusted KPIs and data-driven insights to manage their businesses, keep ahead of the competition, and provide unparalleled customer experiences. . But good data—and actionable insights—are hard to get. The power of the customer graph keeps going.

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What is Data Modernization? Benefits, Importance & Components

Astera

Data Consolidation Data consolidation involves merging data from different systems or departments into a single repository. This centralized repository, or single source of truth (SSOT), delivers a streamlined data architecture that enhances data accessibility, analysis, and utilization.