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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

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The Good and the Bad of Microsoft Power BI Data Visualization

Altexsoft

Premium version gives you access to AI-generated insights (text analytics, image detection, and automated machine learning ), self-service data preparation capabilities, and simplified data management. There’s also a vast online knowledge base with descriptions, tips, how-to guides , and best practices.

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The Year Ahead for BPM -- 2019 Predictions from Top Influencers

BPM

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Allowing organizations to inject knowledge-based decisions services that are traceable, auditable and explainable into the process fabric of their operations.

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The Good and the Bad of Databricks Lakehouse Platform

Altexsoft

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers.