2001, Data Analytics, Key Performance Indicator and Visualization

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. appeared first on IBM Blog.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. The near-real-time insights can then be visualized as a performance dashboard using OpenSearch Dashboards.

Management

Management Metadata Analytics Dashboards

Data Leaders Brief

Data science vs. machine learning: What’s the difference?

Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

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