Flipboard

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis.

ETL 138

ETL Data Warehouse Analytics Analytics 138

AWS Machine Learning Blog

DECEMBER 4, 2024

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. Use Amazon Athena SQL queries to provide insights. Kosti Vasilakakis is a Principal Product Manager at AWS.

AWS 109

AWS AI AI SQL 109

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

DECEMBER 5, 2023

ODSC West is now a part of our history books, and we couldn’t be happier with how everything turned out. We had our first-ever Halloween party, more book signings, exciting keynotes, and plenty of sessions to fit everyone’s needs. Top Sessions With sessions both online and in-person in San Francisco, there was something for everyone.

Data Science 98

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 98

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 158

Database AWS ETL SQL 158

Alation

JUNE 14, 2023

Data Pipeline Capabilities This team’s scope is massive because the data pipelines are huge and there are many different capabilities embedded in them. The team focuses on cleansing and transforming pieces of the data value stream, while seeking ways to further commoditize and standardize data.

Data Pipeline 52

Data Pipeline ETL Data Warehouse SQL 52

AWS Machine Learning Blog

SEPTEMBER 24, 2024

An optional CloudFormation stack to deploy a data pipeline to enable a conversation analytics dashboard. Booking – This demonstrates an example of routing the caller to a live agent queue. Choose an option for allowing unredacted logs for the Lambda function in the data pipeline. in the middle of a conversation.

AWS 104

AWS AI AI Analytics 104