Remove Azure Remove Data Modeling Remove Internet of Things
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What Are the Best Data Modeling Methodologies & Processes for My Data Lake?

phData

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

This ensures that insights are always up-to-date and readily accessible from any internet-connected device. Key features of cloud analytics solutions include: Data models , Processing applications, and Analytics models. Use ETL (Extract, Transform, Load) processes or data integration tools to streamline data ingestion.

Analytics 203
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Citus 12: Schema-based sharding for PostgreSQL

Hacker News

What if you could automatically shard your PostgreSQL database across any number of servers and get industry-leading performance at scale without any special data modelling steps? Schema-based sharding has almost no data modelling restrictions or special steps compared to unsharded PostgreSQL.

Database 123
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Future-Forward: 2024’s Most Promising Power BI Project Ideas

Pickl AI

Advanced Analytics on the Rise: DAX and Machine Learning The introduction of DAX (Data Analysis Expressions) unlocked the potential for complex calculations and data manipulation directly within Power BI. The Internet of Things (IoT) generates vast amounts of data from sensors and connected devices.