Data Architecture, Deep Learning and Structured Data

Building a Beautiful Data Lakehouse

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake

Data Lake Unstructured Data Data Warehouse Data Quality

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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 Data Governance Modeling Cost-Benefit

Data Leaders Brief

Building a Beautiful Data Lakehouse

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