Alation

FEBRUARY 20, 2020

Considering what we’ve seen this year in industry trends and patterns, we have compiled some predictions for 2016 from our co-founders at Alation. 2016 will be the year of the “logical data warehouse.” In 2016, these will increasingly be deployed to query multiple data sources. Data sprawl has been prevalent for several years.

Data Warehouse 52

Data Warehouse Hadoop Data Science Analytics 52

IBM Data Science in Practice

NOVEMBER 28, 2022

The concept was first introduced back in 2016 but has gained more attention in the past few years as the amount of data has grown. IBM’s Next Generation DataStage is an ETL tool to build data pipelines and automate the effort in data cleansing, integration and preparation.

Data Pipeline 130

Data Pipeline Data Quality Data Preparation Data Governance 130

AWS Machine Learning Blog

JUNE 18, 2024

In this solution, we leverage the reasoning and coding abilities of LLMs for creating reusable Extract, Transform, Load (ETL), which transforms sensor data files that do not conform to a universal standard to be stored together for downstream calibration and analysis. She holds 30+ patents and has co-authored 100+ journal/conference papers.

AWS 130

AWS AI Python AI 130

DagsHub

APRIL 7, 2024

The project was created in 2014 by Airbnb and has been developed by the Apache Software Foundation since 2016. Flexibility: Its use cases are wider than just machine learning; for example, we can use it to set up ETL pipelines. This also means that it comes with a large community and comprehensive documentation.

Machine Learning 59

Machine Learning Machine Learning ML ML 59