Business Intelligence, Data Workflow, Metadata and Structured Data

Data Engineering Zoomcamp – Data Ingestion (Week 2)

Hepta Analytics

FEBRUARY 14, 2022

This means that your data store has to have capabilities of transforming the data. It is mostly used for big data. The data ingestion takes less time compared to ETL. It is also preferred when the use case has more diverse business intelligence. The purpose of the data is not determined.

Data Ingestion

Data Ingestion Data Engineering Data Engineer Engineering

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

JUNE 14, 2023

Apache Spark – Labeled as a unified analytics engine for large scale data processing, many leverage this open source solution for streaming use cases, often in conjunction with Databricks. Data orchestration Airflow : Airflow is the most common data orchestrator used by data teams.

Data Pipeline

Data Pipeline Architecture Data Lake Data Warehouse

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

AltexSoft

MARCH 14, 2023

Data storage The tools mentioned in the previous section are instrumental in moving data to a centralized location for storage, usually, a cloud data warehouse, although data lakes are also a popular option. But this distinction has been blurred with the era of cloud data warehouses.

IT Data Warehouse Data Governance Data Lake

Data Engineering Digest

Data Engineering Zoomcamp – Data Ingestion (Week 2)

Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

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

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