SAS Software

DECEMBER 9, 2024

In 2012, Harvard Business Review declared the data scientist the sexiest job of the 21st century. Heres what we knew at the time: big data was (and still is to this day) an enormous opportunity to make new discoveries. In the data and AI era Will data engineering reign supreme?

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Data Science in Practice

MARCH 8, 2023

Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem. To accomplish this goal, many feature platforms leverage engines (e.g. Spark, Flink, etc.)

Machine Learning 264

Machine Learning Machine Learning ML ML 264

Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

Big Data 119

Big Data Big Data Data Engineering Data Engineer 119

AWS Machine Learning Blog

SEPTEMBER 3, 2024

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise. elasticmapreduce", "arn:aws:s3:::*.elasticmapreduce/*"

AWS 125

AWS Clustering Big Data Big Data 125

AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker.

AWS 131

AWS ML ML Data Scientist 131

Flipboard

MARCH 7, 2023

He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering. He has over 20 years of experience working at all levels of software development and solutions architecture and has used programming languages from COBOL and Assembler to.NET, Java, and Python.

Python 123

Python AWS ML ML 123

AWS Machine Learning Blog

AUGUST 31, 2023

In addition to data engineers and data scientists, there have been inclusions of operational processes to automate & streamline the ML lifecycle. For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker.

AWS 52

AWS ML ML Data Scientist 52