Dataconomy

JUNE 18, 2025

Data Lakehouse has emerged as a significant innovation in data management architecture, bridging the advantages of both data lakes and data warehouses. By enabling organizations to efficiently store various data types and perform analytics, it addresses many challenges faced in traditional data ecosystems.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

Flipboard

DECEMBER 18, 2023

Swami Sivasubramanian, Vice President of AWS Data and Machine Learning Watch Swami Sivasubramanian, Vice President of Data and AI at AWS, to discover how you can use your company data to build differentiated generative AI applications and accelerate productivity for employees across your organization.

AWS 135

AWS Data Warehouse ETL SQL 135

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

APRIL 21, 2025

Key Skills for Data Science: A data scientist typically needs a blend of skills: Mathematics and Statistics: To understand the theoretical underpinnings of models. Programming: Often in languages like Python or R, using libraries for data manipulation, analysis, and machine learning.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

How to Learn Machine Learning

MAY 2, 2025

Time Series Data : Specialized functionality for forecasting and anomaly detection in time series data makes Azure ML suitable for IoT applications and business forecasting. Implement Data Versioning : Track data versions to ensure reproducibility of your experiments and models.

Azure 52

Azure Machine Learning Machine Learning Data Science 52

AWS Machine Learning Blog

APRIL 18, 2023

Predictive condition-based maintenance is a proactive strategy that is better than reactive or preventive ones. Indeed, this approach combines continuous monitoring, predictive analytics, and just-in-time action. No specialized knowledge is required to build this solution, but basic Linux, Python, and SQL knowledge will help.

AWS 90

AWS ML ML Database 90