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Data Pipeline Architecture: Understanding What Works Best for You

Ascend.io

It’s the foundation that accelerates your velocity and agility in building data applications. Harnessing Data for Insights Data pipelines are the cornerstone of unlocking analytics, business intelligence, machine learning, and data-intensive applications. Let’s dig deeper: 1.

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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Data streamed in is queryable immediately, in an optimal manner. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Data Model. Conventional enterprise data types. Figure 1 below shows a standard architecture for a Real-Time Data Warehouse.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

The current architecture is called Lambda architecture, where you can handle both real-time streaming data and batch data. Log files are pushed to Kafka topic using NiFi, and this Data is Analyzed and stored in Cassandra DB for real-time analytics.