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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

Flipboard

These tables house complex domain-specific schemas, with instances of nested tables and multi-dimensional data that require complex database queries and domain-specific knowledge for data retrieval.

SQL 149
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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning Blog

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights.

AWS 107
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Db2

Dataconomy

Db2 is a powerful database management system (DBMS) developed by IBM, designed to handle vast amounts of data effectively and efficiently. As organizations increasingly rely on data-driven decisions, understanding how Db2 works and its rich features becomes essential for database administrators and developers alike. What is Db2?

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Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova

AWS Machine Learning Blog

Text-to-SQL bridges this gap by generating precise, schema-specific queries that empower faster decision-making and foster a data-driven culture. We show how to effectively use Text-to-SQL using Amazon Nova , a foundation model (FM) available in Amazon Bedrock , to derive precise and reliable answers from your data.

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The ultimate guide to Hyper-V backups for VMware administrators

Data Science Dojo

Windows Failover Clustering is applied in a number of different use cases, including file servers and SQL clusters, as well as Hyper-V. vmsd – This database file contains all the pertinent snapshot information. .vmsn VMware “clustering” is purely for virtualization purposes. It replaces the XML file found in 2012 R2 and earlier.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

The database for Process Mining is also establishing itself as an important hub for Data Science and AI applications, as process traces are very granular and informative about what is really going on in the business processes. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer.

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Analyzing the history of Tableau innovation

Tableau

Adam Selipsky becoming CEO in 2016. Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired.

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