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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning Blog

They then use SQL to explore, analyze, visualize, and integrate data from various sources before using it in their ML training and inference. Previously, data scientists often found themselves juggling multiple tools to support SQL in their workflow, which hindered productivity.

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

AWS Machine Learning Blog

Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources. SageMaker Unified Studio setup SageMaker Unified Studio is a browser-based web application where you can use all your data and tools for analytics and AI.

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Understanding SQL language: The backbone of relational databases

Dataconomy

The SQL language, or Structured Query Language, is essential for managing and manipulating relational databases. Introduction to SQL language SQL language stands for Structured Query Language. The primary purpose of the SQL language is to enable easy interaction with a Database Management System (DBMS).

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Build a robust text-to-SQL solution generating complex queries, self-correcting, and querying diverse data sources

AWS Machine Learning Blog

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. This generative AI task is called text-to-SQL, which generates SQL queries from natural language processing (NLP) and converts text into semantically correct SQL.

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5 Analytic Tools Companies Use To Organize and Study their Data

Smart Data Collective

In the early days of analytics, only the largest companies could afford to leverage big data. Here’s more on why data is so important for companies and the top 5 analytics tools they’re using this year to stay ahead of the curve and their competition. 5 Best Analytic Tools in 2021. Choosing an Analytics Tool.

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Import data from Google Cloud Platform BigQuery for no-code machine learning with Amazon SageMaker Canvas

AWS Machine Learning Blog

The workflow includes the following steps: Within the SageMaker Canvas interface, the user composes a SQL query to run against the GCP BigQuery data warehouse. Download the private key JSON file. To query from Athena, launch the Athena SQL editor and choose the data source you created.

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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)

Flipboard

Data engineers use data warehouses, data lakes, and analytics tools to load, transform, clean, and aggregate data. SageMaker Unied Studio is an integrated development environment (IDE) for data, analytics, and AI. As AI and analytics use cases converge, transform how data teams work together with SageMaker Unified Studio.

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