Ontotext

NOVEMBER 2, 2023

In spite of all the activity, the data paradigm hasn’t evolved much. Organizations are still managing data using relational technology invented in the 1970’s. While relational databases are the best fit for managing structured data workloads, they are not good for ad hoc inquiry and scenario-based analysis.

IT 69

IT Cost-Benefit Data-driven Technology 69

CIO Business Intelligence

JUNE 14, 2023

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. Consider data types. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Focus on scalability.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

AWS Big Data

MARCH 26, 2024

Pillar 3: Analytics The analytics pillar defines capabilities that help you generate insights on top of your customer data. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. The following screenshot shows an example C360 dashboard built on QuickSight.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67