2001, Analytics, Data Analytics and Data Processing

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

AWS Big Data

OCTOBER 11, 2023

Organizations with legacy, on-premises, near-real-time analytics solutions typically rely on self-managed relational databases as their data store for analytics workloads. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management

Management Metadata Analytics Dashboards

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

Data Leaders Brief

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

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

Webinars

Stay Connected