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The mystery of indexing – A guide to different types of indexes in Python

Data Science Dojo

Most Data Science enthusiasts know how to write queries and fetch data from SQL but find they may find the concept of indexing to be intimidating. Using the “Top Spotify songs from 2010-2019” dataset on Kaggle ( [link] ), we read it into a Python – Pandas Data Frame.

Python 284
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Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor

AWS Machine Learning Blog

Spark provides distributed processing on clusters to handle data that is too big for a single machine. Define the aggregate() function to aggregate the data using PySpark SQL and user-defined functions (UDFs). For this use case, we see how SageMaker Feature Store helps convert the raw car sales data into structured features.

ML 129
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Cassandra vs MongoDB

Pickl AI

Released as an open-source project in 2008 and later becoming a top-level project of the Apache Software Foundation in 2010, Cassandra has gained popularity due to its scalability and high availability features. Cassandra’s architecture is based on a peer-to-peer model where all nodes in the cluster are equal.

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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Nov 2010), which allowed users to drag and drop multiple tables on one sheet. Connectivity.

Tableau 145
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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. He currently is working on Generative AI for data integration.

Database 158
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Analyzing the history of Tableau innovation

Tableau

Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. Clustered under visual encoding , we have topics of self-service analysis , authoring , and computer assistance. Nov 2010), which allowed users to drag and drop multiple tables on one sheet. Connectivity.

Tableau 98