Data lakes stink. That's because lots of them turn to data swamps, and swamps stink. What's the difference between a data lake and a data swamp? A data lake is built on top of cost efficient ...
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 ...
In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...
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 ...
1. The "quarantine" pattern is mandatory: In many modern data organizations, engineers favor the "ELT" approach. They dump raw data into a lake and clean it up later. For AI Agents, this is ...
When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...
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