Why You Shouldn't Build Your Own Data Pipeline

The Essential Guide to Data Integration discusses why building your own data pipeline may not be the best approach due to high costs, time consumption, and potential negative impacts on morale. It is estimated that 80% of a data scientist's time is spent constructing data pipelines, which can take five weeks per connector and require ongoing maintenance work. Building custom connectors or manual reporting can lead to frustration, exhaustion, downtime, and misguided decisions. Additionally, not all APIs are easily integrated, and complexity increases as the number of data sources grows. The guide suggests that outsourcing pipeline engineering can be more cost-effective and efficient, allowing for standardization and easier integration with other tools. It also provides tips on how to win over engineers and convince executives about the benefits of purchasing a data pipeline tool.