Business Objectives, Data Lake, Data Transformation and Data Warehouse

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!

Modeling

Modeling Big Data IoT Data Warehouse

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

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. However, data mesh is not about introducing new technologies. by building data products with domain owners.

Data-driven

Data-driven Data Lake Data Quality Business Objectives

Data Leaders Brief

Building Better Data Models to Unlock Next-Level Intelligence

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

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