Remove 2014 Remove Data Pipeline Remove SQL
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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 109
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How to Optimize Power BI and Snowflake for Advanced Analytics

phData

Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure. The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In late 2021, Power BI introduced custom SQL queries to Snowflake using DirectQuery.

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Top 5 Use Cases of phData’s Advisor Tool

phData

Founded in 2014 by three leading cloud engineers, phData focuses on solving real-world data engineering, operations, and advanced analytics problems with the best cloud platforms and products. Over the years, one of our primary focuses became Snowflake and migrating customers to this leading cloud data platform.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

Here’s the structured equivalent of this same data in tabular form: With structured data, you can use query languages like SQL to extract and interpret information. In contrast, such traditional query languages struggle to interpret unstructured data. This text has a lot of information, but it is not structured.

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7 Best Machine Learning Workflow and Pipeline Orchestration Tools 2024

DagsHub

Image generated with Midjourney In today’s fast-paced world of data science, building impactful machine learning models relies on much more than selecting the best algorithm for the job. Data scientists and machine learning engineers need to collaborate to make sure that together with the model, they develop robust data pipelines.