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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 159
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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. .

Tableau 145
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

Partitioning and clustering features inherent to OTFs allow data to be stored in a manner that enhances query performance. 2017 - Apache Iceberg Developed by Netflix, Iceberg addressed challenges like managing large datasets, schema evolution, and time travel (the ability to query historical data).

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How to choose a graph database: we compare 6 favorites

Cambridge Intelligence

Relational databases (with recursive SQL queries), document stores, key-value stores, etc., Running graph queries in SQL, while possible, isn’t always simple – especially when building complex queries to join data from multiple source tables. can handle many graph-type problems.

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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Gestalt properties including clusters are salient on scatters. Let’s take a look at each. .

Tableau 98
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Prodigy: A new tool for radically efficient machine teaching

Explosion

It’s easy to use a different SQL backend, or to specify a custom storage solution. — Richard Socher (@RichardSocher) March 10, 2017 The beauty of ML is that the complexity of the final system comes much from the data than from the human-written code.

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What Does GPT-3 Mean For the Future of MLOps? With David Hershey

The MLOps Blog

It’s built on top of the transformer architecture that was released by Google in 2017, but GPT-3 and ChatGPT are sort of proprietary incarnations of that from OpenAI. Environments that can’t have a GPU – you can’t carry a cluster around in your phone or whatever it is, or wherever you are to do everything.

ML 52