Efficient and Agile Data Pipeline for Universal Data Access

Data pipelines are challenging enough, from ingesting the right sources, processing the correct data and implementing BI to drive actionable results, to burdening yourself with inefficient, short lived, complex infrastructure choices. When your data pipeline hits its maximum velocity it is important to be able to spin up and down new resources to accommodate the burst in load. Data is not always delivered at a constant rate so converting, cleaning and tagging must be possible without backlogs, to drive on time results. Your data pipeline foundation needs to scale from day zero to production rollout, driven by simplicity to enable faster time to actionable results.