Data Science Dojo

MAY 3, 2023

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 364

Python Clustering SQL Data Science 364

Pickl AI

SEPTEMBER 20, 2024

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.

Database 52

Database Clustering Data Modeling Data Models 52

AWS Machine Learning Blog

SEPTEMBER 19, 2023

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 111

ML ML AWS SQL 111

Tableau

DECEMBER 1, 2021

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

Tableau ML ML Database 145

Flipboard

NOVEMBER 24, 2023

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

Database AWS ETL SQL 158

Tableau

DECEMBER 1, 2021

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

Tableau ML ML Database 98

Pickl AI

JANUARY 19, 2025

Summary:- SQL is a query language for managing relational databases, while MySQL is a specific DBMS built on SQL. Introduction SQL is a structured query language widely used to query, manipulate, and manage data in relational databases. Key Takeaways Recognize that SQL is a language, while MySQL is a DBMS using SQLs commands.

SQL 52

SQL Database Clustering Analytics 52