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

Flipboard

Recent advances in generative AI have led to the rapid evolution of natural language to SQL (NL2SQL) technology, which uses pre-trained large language models (LLMs) and natural language to generate database queries in the moment.

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

AWS Machine Learning Blog

SageMaker Unified Studio combines various AWS services, including Amazon Bedrock , Amazon SageMaker , Amazon Redshift , Amazon Glue , Amazon Athena , and Amazon Managed Workflows for Apache Airflow (MWAA) , into a comprehensive data and AI development platform. Navigate to the AWS Secrets Manager console and find the secret -api-keys.

AWS 107
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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.

SQL 83
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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. I probably developed my first object-centric event log back in 2016 and used it for an industrial customer. I did not call it object-centric but dynamic data model.

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Extract non-PHI data from Amazon HealthLake, reduce complexity, and increase cost efficiency with Amazon Athena and Amazon SageMaker Canvas

AWS Machine Learning Blog

AWS provides the most complete set of services for the entire end-to-end data journey for all workloads, all types of data, and all desired business outcomes. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline.

ML 101
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Celebrating 40 years of Db2: Running the world’s mission critical workloads

IBM Journey to AI blog

Boyce to create Structured Query Language (SQL). Developers can leverage features like REST APIs, JSON support and enhanced SQL compatibility to easily build cloud-native applications. Db2 can run on Red Hat OpenShift and Kubernetes environments, ROSA & EKS on AWS, and ARO & AKS on Azure deployments.

Database 101
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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

2016 - Apache Hudi Originally developed at Uber, Hudi introduced a format that allowed upserts (inserts and updates) on data lakes, supporting use cases with frequent data modifications, such as CDC (Change Data Capture). However, they lacked support for transactional features, like updates and ACID compliance.