erwin

JANUARY 9, 2020

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. Take, for instance, the domain of business intelligence and the problem of discoverability. Read more at: [link].

Technology 75

Technology Enterprise Data Integration Management 75

TDAN

JULY 19, 2022

The notorious SolarWinds hack of 2020 sent shock waves across the software as a service world. In the attack, hackers gained access to the development pipeline for a SolarWinds financial management product— Orion. Once in, they were able to insert malware into the system.

Software 52

Software Management Data Architecture Data Integration 52

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. Take, for instance, the domain of business intelligence and the problem of discoverability. Read more at: [link].

Technology 40

Technology Data Integration Enterprise Structured Data 40

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. We hope this gives you a great starting point for querying Iceberg tables in Amazon Redshift.

Data Lake 93

Data Lake Data Warehouse Metadata Data Architecture 93

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52