Remove 2013 Remove Data Analysis Remove SQL
article thumbnail

Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

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

SQL 97
article thumbnail

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Journey to AI blog

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Flight delay data analysis.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to get Data Analyst Job as a Fresher?

Pickl AI

Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.

article thumbnail

Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning Blog

Optionally, if you’re using Snowflake OAuth access in SageMaker Data Wrangler, refer to Import data from Snowflake to set up an OAuth identity provider. Familiarity with Snowflake, basic SQL, the Snowsight UI, and Snowflake objects. The dataset includes credit card transactions in September 2013 made by European cardholders.

ML 85
article thumbnail

Analyzing the history of Tableau innovation

Tableau

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. March 2013), which is our cloud product. Computers and humans have asymmetric and synergistic data skills.

Tableau 145
article thumbnail

Analyzing the history of Tableau innovation

Tableau

IPO in 2013. Tableau had its IPO at the NYSE with the ticker DATA in 2013. Query allowed customers from a broad range of industries to connect to clean useful data found in SQL and Cube databases. March 2013), which is our cloud product. Computers and humans have asymmetric and synergistic data skills.

Tableau 98
article thumbnail

Top Big Data Tools Every Data Professional Should Know

Pickl AI

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. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.