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 107

Management Metadata Analytics Dashboards 107

Alation

MARCH 29, 2022

Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. But there have always been limits on who can access valuable data, as well as how it can be used. In the 1970s, data was confined to mainframes and primitive databases.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71