Remove Business Intelligence Remove Data Ingestion Remove Data Warehouse Remove Data Workflow
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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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Build vs Buy Data Pipeline Guide

Monte Carlo

Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform. This data ingestion process can be accomplished by either querying the source directly, using upstream systems to publish events, or some combination of the two.

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Data Pipeline Architecture Explained: 6 Diagrams and Best Practices

Monte Carlo

The modern data stack era , roughly 2017 to present data, saw the widespread adoption of cloud computing and modern data repositories that decoupled storage from compute such as data warehouses, data lakes, and data lakehouses.

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DataOps: What Is It, Core Principles, and Tools For Implementation

phData: Data Engineering

This commonly introduces: Database or Data Warehouse API/EDI Integrations ETL software Business intelligence tooling By leveraging off-the-shelf tooling, your company separates disciplines by technology. This required applying transformations and filters to the data for various business units.

IT 52
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The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

AltexSoft

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59