Remove Data Warehouse Remove Key Performance Indicator Remove Structured Data
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Introduction To The Basic Business Intelligence Concepts

datapine

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Feedback analytics and fine-tuning It’s important for data operation managers and AI/ML developers to get insight about the performance of the generative AI application and the FMs in use. OpenSearch Service offers visualization capabilities powered by OpenSearch Dashboards and Kibana (1.5 versions).

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Implement data quality checks on Amazon Redshift data assets and integrate with Amazon DataZone

AWS Big Data

To address the issue of data quality, Amazon DataZone now integrates directly with AWS Glue Data Quality, allowing you to visualize data quality scores for AWS Glue Data Catalog assets directly within the Amazon DataZone web portal. Amazon DataZone natively supports data sharing for Amazon Redshift data assets.