The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O'Brien, ...

Unisphere and DBTA, in partnership with Radiant Advisors, gathered real-world experts to discuss and evaluate popular data architecture plans in DBTA's recent webinar, 2023 Modern Data Architecture ...

The modern data architecture is a pre-integrated, end-to-end solution, delivered in the cloud, with nothing to install. This yields deployment times as much as 40% lower than legacy approaches. But ...

Building an analytics architecture for unstructured data and multimodal AI brandpost By Ganesh Kumar Gella, Sr. Director, Engineering, Google BigQuery Generative AI Initiatives Jun 11, 2025 5 mins ...

Modernising data architecture allows businesses to realise the full value of their unique data assets, create insights faster through AI-based data engineering, and even unlock the value of legacy ...

The goal of many modern data architectures is to deliver real-time analytics — the ability to perform analytics on new data as it arrives in the environment. Data architecture vs. data modeling ...

INVISTA can remove manual processes by using this modern data architecture. Previously, a technician needed to travel between the field and the office to search for a solution.

In contrast, data lakes employ a schema-on-read approach, storing raw, unstructured or semi-structured data, making them highly flexible and scalable for big data analytics, AI and machine learning.

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support ...