AWS Machine Learning Blog

SEPTEMBER 19, 2023

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. The SparkConfig instance configures the Spark configuration and dependencies. Group by model_year_status.

ML 116

ML ML AWS SQL 116

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. Apache Cassandra Cassandra utilises CQL (Cassandra Query Language), which resembles SQL but operates within its unique constraints.

Database 52

Database Clustering Data Models Data Modeling 52

phData

NOVEMBER 8, 2023

The OAuth framework was initially created and supported by Twitter, Google, and a few other companies in 2010 and subsequently underwent a substantial revision to OAuth 2.0 This allows you to define what your user’s resources should look like and automatically generate (and execute) the Snowflake SQL necessary to create those users.

SQL 52

SQL Azure Data Engineering Data Engineer 52

AWS Machine Learning Blog

DECEMBER 4, 2024

Without specialized structured query language (SQL) knowledge or Retrieval Augmented Generation (RAG) expertise, these analysts struggle to combine insights effectively from both sources. Use Amazon Athena SQL queries to provide insights. The structured dataset includes order information for products spanning from 2010 to 2017.

AWS 103

AWS AI AI SQL 103

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 156

Database AWS ETL SQL 156

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. For example, Tableau’s release v1 (April 2005) connected to structured data in SQL databases (MS Access, MS SQL Server, MySQL) and the two major cube databases (Hyperion Essbase and MS SSAS).

Tableau 145

Tableau ML ML Database 145

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. For example, Tableau’s release v1 (April 2005) connected to structured data in SQL databases (MS Access, MS SQL Server, MySQL) and the two major cube databases (Hyperion Essbase and MS SSAS).

Tableau 98

Tableau ML ML Database 98

Dataconomy

OCTOBER 15, 2024

Forbes reports that global data production increased from 2 zettabytes in 2010 to 44 ZB in 2020, with projections exceeding 180 ZB by 2025 – a staggering 9,000% growth in just 15 years, partly driven by artificial intelligence. For some of the world’s most valuable companies, data forms the core of their business model.

Data Modeling 113

Data Modeling Data Models Analytics Analytics 113

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 Analytics Clustering 52

Flipboard

JULY 23, 2023

It is still the most used database system, according to DB-Engines, despite heavy competition from open-source SQL databases and NoSQL databases. It is compact, fast, and has many extra features, such as JSON from SQL. There are several editions of the SQL database, each with its unique set of features.

Database 123

Database Deep Learning Deep Learning Artificial Intelligence 123

AWS Machine Learning Blog

NOVEMBER 18, 2024

In addition to the tools presented here, you can create additional generative AI tools to query SQL data bases or analyze other industry-specific formats. LAS Conversational capabilities The basic router handles a single user query and isn’t aware of chat history. However, conversational context is an essential part of the user experience.

Python 104

Python Machine Learning Machine Learning AI 104

AWS Machine Learning Blog

NOVEMBER 18, 2024

Large language models (LLMs) can help uncover insights from structured data such as a relational database management system (RDBMS) by generating complex SQL queries from natural language questions, making data analysis accessible to users of all skill levels and empowering organizations to make data-driven decisions faster than ever before.

SQL 99

SQL Database AWS AI 99