The Challenge of Data Ingestion in the S3 data lake
When using an S3 data lake for Big Data analytics, data ingestion is typically the most challenging management task for IT teams. To ensure a data pipeline full of analytics-ready data, administrators and IT teams may need to manage ingestion for hundreds or thousands of sources, many of which require custom coding and individual agents. The tools they have relied on for ingestion and integration in the past are no longer workable – they lack the efficiency and scalability required to manage ingestion of large data sets and real-time data streams. To realize the benefits of an S3 data lake without overburdening IT teams, enterprises need a Big Data tool to simplify and speed data ingestion.