Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Edge caches become crucial for managing data on its way from web servers to mobile devices. Data is on the move. Those days are long gone if they ever existed. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

DataKitchen

MAY 10, 2021

An automated process that catches errors early in the process gives the data team the maximum available time to resolve the problem – patch the data, contact data suppliers, and rerun processing steps. The measurement and monitoring of your end-to-end process can serve as an important tool in the battle to eliminate errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

Analytics 96

Analytics Key Performance Indicator Data Warehouse Data-driven 96

Cloudera

AUGUST 21, 2021

Besides identifying key event patterns and escalating crucial alerts based on predictive insights and actionable intelligence, real time analytics and stream processing fortifies risk management by enabling preventive measures before an incident results in damage. .

Data-driven 99

Data-driven Digital Transformation Risk Risk Management 99

Alation

JANUARY 25, 2022

Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog? These two resources can help you get started: White paper: How to Evaluate a Data Catalog.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

JANUARY 13, 2022

It’s in all types of data management systems, from databases to ERP tools, to data integration software. Responsibilities are distributed to the people who are closest to the data. Up next: let’s turn our attention back to data fabric, its key pillars, and the role of the data catalog within.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Jet Global

FEBRUARY 5, 2024

Additionally, inefficient dashboards and analytics hinder visibility into resource consumption patterns, making it difficult to pinpoint energy-intensive processes and implement resource-efficient measures. Integration for accurate calculations: Pull in data from ECC and SAP S/4HANA to calculate your footprint across all end-to-end processes.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52