Full Resource Library

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 a Data Warehouse?

A data warehouse is a large collection of business data used to help an organization make decisions. It is the foundational component of business intelligence efforts. Learn how data warehouses work, how they are different from databases or data marts, why they are moving to the cloud, and more.

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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 Database Integration?

Database integration is the process used to aggregate information from multiple sources and share a current, clean version of it across an organization. It is the operational core of big data. Here’s a look at the process, partners, and tools used in integration.

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Data Loading

Data loading software has conventionally fallen into two broad categories: narrow, limited-use tools designed specifically for particular loading scenarios; or comprehensive, integrated solutions that couple support for a wide variety of data loading contexts with support for related operations such as data extraction, data conversion, and data cleansing.

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Lessons Learned: Building a Better Data Warehouse

Mark Balkenende, an enterprise data architect with over 20 years’ experience in building data warehouses, shares his lessons learned. Watch this webinar to find out how he built a data warehouse to analyze Salesforce and Marketo data using Redshift and S3.

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