Cloudera

AUGUST 30, 2022

Legacy data sharing involves proliferating copies of data, creating data management, and security challenges. Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Towards Data Science ). Deploying modern data architectures.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

Cloudera

AUGUST 24, 2020

Next you need to understand your data , cataloging enterprise data into business and compliance terms. The most relevant use cases are those that use or integrate data, including publicly available data, and you combine that with your internal data.

Cloud 81

Cloud Data Government Innovation 81

Cloudera

APRIL 21, 2022

Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect. A key reason for selecting Cerner, the DoD said , was the company’s data center allows direct access to proprietary data that it couldn’t obtain from a government-hosted environment.

Security 87

Security Data Insurance System 87

BPM

JANUARY 18, 2019

That augmentation must be in a form attractive to humans while enabling security, compliance, authenticity and auditability. Companies will start demanding that their investments in Predictive Analytics, Machine Learning and AI show a real ROI. BPM must start to focus not on controlling humans but on augmenting them. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

MARCH 1, 2023

Companies can no longer protect all of their IT systems behind a firewall; many of the servers are running in a data center somewhere, and IT staff has no idea where they are or even if they exist as physical entities. Data engineering was the dominant topic by far, growing 35% year over year.

Trends 134

Trends Technical Review Technology Software Review 134

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 124

Architecture Data Security Technical Review 124

Hu's Place - HitachiVantara

JANUARY 15, 2019

For lack of similar capabilities, some of our competitors began implying that we would no longer be focused on the innovative data infrastructure, storage and compute solutions that were the hallmark of Hitachi Data Systems. A REST API is built directly into our VSP storage controllers.

Systems Review 72

Systems Review Storage System Software Review 72

Cloudera

MARCH 22, 2022

Given the significant role that IT plays in value capture from inorganic growth strategies, it is imperative for impacted organizations to rethink their technology strategy, particularly for advanced analytics, that play an increasingly dominant role in business model differentiation and revenue growth across industries.

Technical Review 80

Technical Review Strategy Data Analytics 80