Data Science Dojo

FEBRUARY 13, 2025

With rapid advancements in machine learning, generative AI, and big data, 2025 is set to be a landmark year for AI discussions, breakthroughs, and collaborations. In this blog, well explore the top AI conferences in the USA for 2025, breaking down what makes each one unique and why they deserve a spot on your calendar.

AI 294

AI AI Big Data Big Data 294

KDnuggets

JANUARY 7, 2020

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

Data Engineering 400

Data Engineering Data Engineering Data Engineering Data Engineer 400

O'Reilly Media

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. To further complicate things, topics like cloud computing, software operations, and even AI don’t fit nicely within a university IT department.

Cloud Computing 112

Cloud Computing AWS Azure Machine Learning 112

Smart Data Collective

NOVEMBER 8, 2020

Big data is changing the future of almost every industry. The market for big data is expected to reach $23.5 billion by 2025. Data science is an increasingly attractive career path for many people. If you want to become a data scientist, then you should start by looking at the career options available.

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

ODSC - Open Data Science

MARCH 5, 2025

Once defined by statistical models and SQL queries, todays data practitioners must navigate a dynamic ecosystem that includes cloud computing, software engineering best practices, and the rise of generative AI. He prefers the term data practitioner to better capture the broad skill set requiredtoday.

Data Science 52

Data Science Cloud Computing SQL Machine Learning 52

AWS Machine Learning Blog

JULY 10, 2024

With App Studio, a user simply describes the application they want, what they want it to do, and the data sources they want to integrate with, and App Studio builds an application in minutes that could have taken a professional developer days to build a similar application from scratch.

AWS 143

AWS AI AI Machine Learning 143