Hadoop Data Integration: How to streamline your etl processes with Apache Spark

The Enterprise Data Warehouse (EDW) offload is a widespread big data use case. This is certainly because traditional data warehouse and related etl processes are struggling to keep the pace in the big data integration context. Many organisations are looking to integrate new big data sources that come with the following constraints: volume, velocity and variety (structured, semi-structured and unstructured data). Meanwhile, traditional data warehouse costs are exploding with data volumes and they only excel at serving up structured data at high concurrency and very low latency. Not only It can help your organisation to dramatically reduce costs but It will facilitate agile and iterative data discovery between legacy systems and big data sources.