Data Integrity Problems in High-Volume High-Velocity Data Ingestion

In the era of bigdata, and never ending data push from IoT devices, the IT infrastructure are built to be scalable to handle the huge batch loads or continuous streaming live data. However, the big question is how can be establish the data integrity. How can we make sure no data is lost from Origin till the destination passing through numerous touch points enroute ? How can we ensure the quality with continuous inflow ? Should the inflow be suspended to perform the DQ checks? Or should it be a totally independent parallel activity. Let’s explore. Key words: Quality Data Management, Data Pipelines, AutoScalling, Large Scale Streaming Data, Performance, IoT, Data Cleansing