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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.

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How SnapLogic built a text-to-pipeline application with Amazon Bedrock to translate business intent into action

Flipboard

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

Database 158
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Simplifying Time Series Analysis for Data Scientists

ODSC - Open Data Science

Be sure to check out his talk, “ What is a Time-series Database and Why do I Need One? The time series database (TSDB) , however, is still an underutilized tool in the data science community. And retrieving data is straightforward with a query language like SQL where you can filter by value, tag, time range, and more.

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How to choose a graph database: we compare 6 favorites

Cambridge Intelligence

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery. can handle many graph-type problems.

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Analyzing the history of Tableau innovation

Tableau

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. Release v1.0

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Best 8 Data Version Control Tools for Machine Learning 2024

DagsHub

DVC Released in 2017, Data Version Control ( DVC for short) is an open-source tool created by iterative. DVC lacks crucial relational database features, making it an unsuitable choice for those familiar with relational databases. It versions tables instead of files and has a SQL query interface for those tables.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData

2017 - Apache Iceberg Developed by Netflix, Iceberg addressed challenges like managing large datasets, schema evolution, and time travel (the ability to query historical data). With the introduction of SQL capabilities, they are accessible to users who are accustomed to querying relational databases What is an External Table?