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

AWS Machine Learning Blog

Its sales analysts face a daily challenge: they need to make data-driven decisions but are overwhelmed by the volume of available information. 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.

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How to Manage Unstructured Data in AI and Machine Learning Projects

DagsHub

With proper unstructured data management, you can write validation checks to detect multiple entries of the same data. Continuous learning: In a properly managed unstructured data pipeline, you can use new entries to train a production ML model, keeping the model up-to-date. mp4,webm, etc.), and audio files (.wav,mp3,acc,

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What Is DataOps? Definition, Principles, and Benefits

Alation

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field. Source: Google Trends.

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What is the Snowflake Data Cloud and How Much Does it Cost?

phData

A cloud data warehouse is designed to combine a concept that every organization knows, namely a data warehouse, and optimizes the components of it, for the cloud. Effectively this is a way to store the source of truth and build (or rebuild) your downstream data products (including data warehouses) from it.

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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 Optimize Power BI and Snowflake for Advanced Analytics

phData

Having gone public in 2020 with the largest tech IPO in history, Snowflake continues to grow rapidly as organizations move to the cloud for their data warehousing needs. Snowflake was originally launched in October 2014, but it wasn’t until 2018 that Snowflake became available on Azure.

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Ask HN: Who wants to be hired? (July 2025)

Hacker News

I'm JD, a Software Engineer with experience touching many parts of the stack (frontend, backend, databases, data & ETL pipelines, you name it). Prior to that, I spent a couple years at First Orion - a smaller data company - helping found & build out a data engineering team as one of the first engineers.

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