Dataconomy

JUNE 18, 2025

Rise of data lakes Data lakes originated in Hadoop clusters during the early 2000s and offered a cost-effective means of storing a variety of data types, including structured, semi-structured, and unstructured data. Decoupled storage and compute: Enhanced scalability through separate server clusters for storage and processing.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

AWS Machine Learning Blog

NOVEMBER 20, 2024

Under Settings , enter a name for your database cluster identifier. You can verify the output by cross-referencing the PDF, which has a target as $12 million for the in-store sales channel in 2020. Delete the Aurora MySQL instance and Aurora cluster. He has experience across analytics, big data, and ETL.

Database 112

Database AWS SQL ETL 112

Flipboard

NOVEMBER 24, 2023

Let’s combine these suggestions to improve upon our original prompt: Human: Your job is to act as an expert on ETL pipelines. Specifically, your job is to create a JSON representation of an ETL pipeline which will solve the user request provided to you.

Database 156

Database AWS ETL SQL 156

Applied Data Science

AUGUST 2, 2021

They bring deep expertise in machine learning , clustering , natural language processing , time series modelling , optimisation , hypothesis testing and deep learning to the team. They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs.

Data Science 130

Data Science Data Scientist ML ML 130

phData

NOVEMBER 9, 2023

The Snowflake Data Cloud was unveiled in 2020 as the next iteration of Snowflake’s journey to simplify how organizations interact with their data. Data Processing: Snowflake can process large datasets and perform data transformations, making it suitable for ETL (Extract, Transform, Load) processes.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Towards AI

FEBRUARY 11, 2025

2020) Scaling Laws for Neural Language Models [link] First formal study documenting empirical scaling laws Published by OpenAI The Data Quality Conundrum Not all data is created equal. AI model training requires extensive computational resources, with companies investing billions in AI clusters.

Data Quality 53

Data Quality Data Engineering Data Engineering Data Engineer 53