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Analytics databases

Dataconomy

Analytics databases play a crucial role in driving insights and decision-making in today’s data-driven world. By providing a structured way to analyze historical data, these databases empower organizations to uncover trends and patterns that inform strategies and optimize operations. What are analytics databases?

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Structured data

Dataconomy

Structured data is a fundamental component in the world of data management and analytics, playing a crucial role in how we store, retrieve, and process information. By organizing data into a predetermined format, it enables efficient access and manipulation, forming the backbone of many applications across various industries.

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Data stewardship

Dataconomy

Essential skills of a data steward To fulfill their responsibilities effectively, data stewards should possess a blend of technical and interpersonal skills: Technical expertise: Knowledge of programming and data modeling is crucial. Regulatory compliance: Ensures adherence to data regulations, minimizing legal risks.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

However, most organizations struggle to become data driven. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems.

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Streamline RAG applications with intelligent metadata filtering using Amazon Bedrock

Flipboard

By combining the capabilities of LLM function calling and Pydantic data models, you can dynamically extract metadata from user queries. Tool use is a powerful feature in Amazon Bedrock that allows models to access external tools or functions to enhance their response generation capabilities.

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Self-Service Analytics for Google Cloud, now with Looker and Tableau

Tableau

However, most organizations struggle to become data driven. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. Google's Cloud Platform is the enterprise solution of choice for many organizations with large and complex data problems.

Tableau 98