Business Objectives, Data Lake, Data Transformation and Strategy

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

Ontotext

FEBRUARY 12, 2024

Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh. Once accomplished, an effective implementation spurs a mindset in which organizations prioritize and value data for decision-making, formulating strategies, and day-to-day operations.

Data-driven

Data-driven Data Lake Data Quality Business Objectives

Building Better Data Models to Unlock Next-Level Intelligence

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Discover why.

Modeling

Modeling Big Data IoT Data Warehouse

Data Leaders Brief

Data Mesh 101: How Data Mesh Helps Organizations Be Data-Driven and Achieve Velocity

Building Better Data Models to Unlock Next-Level Intelligence

Webinars

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