Modern analytics pipelines often follow the medallion architecture, which organizes data into Bronze (raw), Silver (cleansed) ...

A modern DataOps strategy should prioritize five core DataOps capabilities: data pipeline orchestration, data pipeline ...

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

Over the past few years, we've been focusing our research on how cloud-native architecture has transformed databases. By separating compute from storage, database providers have been able to simplify ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

The ERP provider linked its Business Data Cloud to the hyperscaler’s BigQuery platform with more integrations to follow, the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ramya Krishnamoorthy shares a detailed case ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Machine learning workloads require large datasets, while machine learning workflows require high data throughput. We can optimize the data pipeline to achieve both. Machine learning (ML) workloads ...

As a big Hadoop user, Pandora Media is no stranger to distributed processing technologies. But when the music streaming service decided to transition its ad tracking system from a batch-oriented ...