AWS Machine Learning Blog

NOVEMBER 20, 2024

Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. The solution combines data from an Amazon Aurora MySQL-Compatible Edition database and data stored in an Amazon Simple Storage Service (Amazon S3) bucket.

Database 111

Database AWS SQL ETL 111

AWS Machine Learning Blog

DECEMBER 14, 2023

Our pipeline belongs to the general ETL (extract, transform, and load) process family that combines data from multiple sources into a large, central repository. The solution does not require porting the feature extraction code to use PySpark, as required when using AWS Glue as the ETL solution. session.Session().region_name

ETL 112

ETL AWS ML ML 112

Smart Data Collective

MAY 20, 2019

IDC predicts that if our digital universe or total data content were represented by tablets, then by 2020 they would stretch all the way to the moon over six times. By 2020, over 40 percent of all data science tasks will be automated. More recently, the California Consumer Privacy Act reared its head, which will go into effect in 2020.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Flipboard

NOVEMBER 24, 2023

The SnapLogic Intelligent Integration Platform (IIP) enables organizations to realize enterprise-wide automation by connecting their entire ecosystem of applications, databases, big data, machines and devices, APIs, and more with pre-built, intelligent connectors called Snaps.

Database 153

Database AWS ETL SQL 153

Applied Data Science

AUGUST 2, 2021

They build production-ready systems using best-practice containerisation technologies, ETL tools and APIs. Data engineers are the glue that binds the products of data scientists into a coherent and robust data pipeline. They are skilled at deploying to any cloud or on-premises infrastructure.

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. As an example, an IT team could easily take the knowledge of database deployment from on-premises and deploy the same solution in the cloud on an always-running virtual machine.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Kaggle

JULY 29, 2020

David: My technical background is in ETL, data extraction, data engineering and data analytics. I was looking forward to the 2020 tournament and had a model I was very excited about. When the 2020 March Madness competition was cancelled and COVID-19 was really starting to hit hard, I wanted to find a way to get involved and help.

ETL 71

ETL Data Scientist Data Science Machine Learning 71