Remove glossary machine-learning-models
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Our product vision for analytics in the age of AI

ThoughtSpot

Data admins can further curate this feedback into a business-specific glossary, evolving into stewards of organizational intelligence. SpotIQ gets a productivity boost Along with enhancements to ThoughtSpot Sage, powered by Generative AI, we’re also heavily investing in ThoughtSpot’s AI and machine learning engine, SpotIQ.

BI 89
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What Should I Look For in a Data Catalog Tool?

phData: Data Engineering

Non-cloud-native tools can be stood up in the cloud, but they can be more of a lift and shift model. A lift and shift model often means it was built for on-prem and does not take advantage of some benefits offered by the cloud. Let’s explore a few common models. Subscription Model How does the tool charge for its product?

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Data Engineering Glossary

Silectis

This data engineering glossary is by no means exhaustive, but should provide some foundational context and information. Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Note: We will continue to add to the above Data Engineering Glossary over time.

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Data Quality + Data Lineage = ???

Datakin

The system built around the core business schema was the kind of chaos that data engineers are all too familiar with; large volumes of clickstream data, etl_warehouses, read replicas, and machine learning models were all consumed to run daily operations. Column Expectations 1.

Bytes 52
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Upgrade Journey: The Path from CDH to CDP Private Cloud

Cloudera

Lineage and chain of custody, advanced data discovery and business glossary. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Cloud 131
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The right words in the right place

Tweag

It’s still not easy or fast to learn all the things needed to wield the full power of Nix. Together with virtual machines, it enables systematic integration testing of a large part of the ecosystem’s artifacts. And now for the full story, which is long because we have made and learned so many things.

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Top Data Catalog Tools

Monte Carlo

Alation Data Catalog relies on their Behavioral Analysis Engine to utilize advanced artificial intelligence and machine learning. Machine learning helps create automatic workflows that support user collaboration. The architecture is containerized and improves timeliness of data onboarding and time-to-analysis.