Remove Business Intelligence Remove Data Lake Remove Data Processing Remove Structured Data
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Quantitative and Qualitative Data: A Vital Combination

Sisense

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

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Capital Group invests big in talent development

CIO Business Intelligence

The program hosts regular meetings and get-togethers for cohorts so they can check in on their skills and career development and even connect with leaders through an ongoing speaker series. The bootcamp broadened my understanding of key concepts in data engineering. Investing in future leaders.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption. This is the Data Mart stage.