Data Integration comprises the practices, architectural techniques and tools for achieving the consistent access and delivery of data structure types in the enterprise to meet the data consumption requirements of all applications and business processes. Data can be streamed in real time or ingested in batches. When data is ingested in real time, each data item is imported as it is emitted by the source. When data is ingested in batches, data items are imported in discrete chunks at periodic intervals of time. An effective data ingestion process begins by prioritizing data sources, validating individual files and routing data items to the correct destination. Business intelligence, analytics, and competitive edges are all at stake when it comes to data integration. That’s why its critical for your company to have full access to every data set from every source.