Remove Business Intelligence Remove Data Ingestion Remove Data Workflow Remove Metadata
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Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

Databricks – Databricks, the Apache Spark-as-a-service platform, has pioneered the data lakehouse, giving users the options to leverage both structured and unstructured data and offers the low-cost storage features of a data lake. Singer – An open source tool for moving data from a source to a destination.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

The Elastic Stacks Elasticsearch is integral within analytics stacks, collaborating seamlessly with other tools developed by Elastic to manage the entire data workflow — from ingestion to visualization. Each document has unique metadata fields like index , type , and id that help identify its storage location and nature.

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The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

Also, Databricks are pioneering the lakehouse concept that makes it possible to use data management features inherent in data warehousing on the raw data stored in a low-cost data lake owing to its metadata layer. Data use component in a modern data stack.

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