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. Such an approach, no matter what name we use for it, is all about improving the way enterprises operate in an interconnected world.

Technology 40

Technology Data Integration Enterprise Structured Data 40

Ontotext

JANUARY 10, 2024

This will allow enterprises to derive insights from their disparate databases, integrate external knowledge for better interpretation of their data, and incorporate information extracted from unstructured content. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 72

Data Strategy Strategy Data Warehouse Prescriptive Analytics 72

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. A data fabric is comprised of a network of data nodes (e.g.,

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

IBM Big Data Hub

AUGUST 15, 2023

To that end, IBM is building a set of domain-specific foundation models that go beyond natural language learning models and are trained on multiple types of business data, including code, time-series data, tabular data, geospatial data, semi-structured data, and mixed-modality data such as text combined with images.

IT 83

IT Data Governance Modeling Cost-Benefit 83

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 126

Metadata Cost-Benefit Enterprise Interactive 126

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 94

Data Lake Data Warehouse Data-driven B2B 94