Data Trust Readiness Report

This survey-based benchmark report helps you close the perception gap between management and operations by increasing your data trust readiness quotient for data integrity and speed.

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Data Technology in the Mining Sector

The mining sector faces steep institutional, structural, and technical challenges in the drive to modernize its data infrastructure. Fortunately, there is a solution. Though the mining industry has highly specialized needs when it comes to data, you can still benefit from modern data technology. 

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What is data trust?

Every organization today is awash with data. Estimates put the amount of data the world creates annually in the zettabytes. That adds up to a big challenge for anyone tasked with making sure that all of their organization’s data is trustworthy. But what does it mean to trust your data?

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Data Lake vs Data Warehouse

Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.

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What is a Data Mart?

A data mart is a subject-oriented database that meets the demands of a specific group of users. Data marts accelerate business processes by allowing access to information in a data warehouse or operational data store within days as opposed to months or longer.

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What is Data Preparation?

Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is a time consuming process, but the business intelligence benefits demand it. And today, savvy self-service data preparation tools are making it easier and more efficient than ever.

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What is Data Processing?

Data processing converts data in its raw form to a more readable format, to be interpreted by computers and utilized by employees throughout an organization.

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