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Data & Business Intelligence encompasses the strategies, technologies, and practices for analyzing and utilizing data to support business decisions.
This segment covers how analytical outputs are delivered and made usable across an organization. It includes publishing and access concepts, audience and role considerations, self-service approaches, and mechanisms to ensure consistency across consumption channels. The focus is on usability and embedding insights into daily work, independent of how data is acquired or models are technically implemented.
Learn how to design high-quality data products that meet user needs.
A process for monitoring and analyzing the use of resources.
Access control involves security mechanisms to regulate and monitor access to systems and data.
An access control system manages access to resources through identity verification and permission granting.
An Application Programming Interface (API) enables interaction between software components.
Data security encompasses measures to protect digital data from unauthorized access, loss, or destruction.
A centralized, historical data repository optimized for query, reporting and business intelligence.
REST is an architectural style that defines the communication between client and server via the HTTP protocol.
Self-Service Analytics enables users to independently create analyses and reports without IT support.
Snowflake is a cloud-based data warehouse solution that enables fast querying and extensive data analysis.
Amazon Redshift is a fast, simple, and fully managed data warehouse service that enables organizations to analyze large volumes of data.
BigQuery is a serverless, highly scalable data warehouse offered by Google Cloud.
GraphQL is a query language for APIs and a runtime for executing those queries.