Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

ML 123

ML ML AWS Data Warehouse 123

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Read more to know. Cloud Platforms: AWS, Azure, Google Cloud, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

OCTOBER 16, 2023

The rise of the foundation model ecosystem (which is the result of decades of research in machine learning), natural language processing (NLP) and other fields, has generated a great deal of interest in computer science and AI circles. Foundation models can use language, vision and more to affect the real world.

AI 88

AI AI Data Warehouse ML 88

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. By analyzing datasets, data scientists can better understand their potential use in an algorithm or machine learning model.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

SEPTEMBER 5, 2024

Recommended Educational Background Aspiring Azure Data Scientists typically benefit from a solid educational background in Data Science, computer science, mathematics, or engineering. The platform’s integration with Azure services ensures a scalable and secure environment for Data Science projects.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Dataconomy

MAY 26, 2025

Designing big data architecture They create big data architectures tailored to the organization, selecting suitable technologies to build and maintain scalable data processing systems. Skills and knowledge required for big data engineering To thrive as a Big Data Engineer, certain skills and expertise are essential.

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91