Remove Data mining Remove Data Warehouse Remove IoT Remove Structured Data
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Transforming Big Data into Actionable Intelligence

Sisense

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. displaying BI insights for human users).

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users.

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What is a Data Pipeline?

Jet Global

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.