AWS Machine Learning Blog

NOVEMBER 12, 2024

NOTE : Since we used an SQL query engine to query the dataset for this demonstration, the prompts and generated outputs mention SQL below. A user can ask a business- or industry-related question for ETFs. The question in the preceding example doesn’t require a lot of complex analysis on the data returned from the ETF dataset.

SQL 98

SQL AWS AI AI 98

IBM Journey to AI blog

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 9 – Flight delays were lower during 2013 through 2018.

Data Warehouse 52

Data Warehouse Data Analysis Data Analysis SQL 52

Flipboard

JUNE 11, 2023

A software bug in the trading system of the Nasdaq stock exchange caused it to halt trading for several hours in 2013, at an economic cost that is impossible to calculate. In 2005, faulty software for the US $176 million baggage-handling system at Denver International Airport forced the whole thing to be scrapped.

AI 177

AI AI SQL Python 177

Pickl AI

APRIL 18, 2023

According to a report by Nasscom, the Indian analytics industry is expected to grow from $2 billion in 2013 to $16 billion by 2025, at a compound annual growth rate of 26%. Skill development for Data Analysis Technical Knowledge: Python, R, SQL, and SAS are just a few of the programming languages that a data analyst must be proficient in.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer Science 52

AWS Machine Learning Blog

JUNE 23, 2023

Use a Python notebook to invoke the launched real-time inference endpoint. Familiarity with Snowflake, basic SQL, the Snowsight UI, and Snowflake objects. Basic knowledge of Python, Jupyter notebooks, and ML. The dataset includes credit card transactions in September 2013 made by European cardholders.

ML 85

ML ML Database AWS 85

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.

Database 159

Database AWS ETL SQL 159

Pickl AI

FEBRUARY 23, 2025

Apache Spark Apache Spark is a unified analytics engine for Big Data processing, with built-in modules for streaming, SQL, Machine Learning , and graph processing. Ease of Use : Supports multiple programming languages including Python, Java, and Scala. Key Features : Serverless Architecture : No need for infrastructure management.

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52