Case Study Adastra: Robust and Scalable ETL with Spark

ETL pipelines are a critical component of the data infrastructure of modern enterprises.
As Big Data assumes an infinite shape, one needs to process and integrate much higher volume of data coming from more sources and at much greater speed than ever before, and traditional data warehouse and related etl processes are struggling to keep the pace in the big data integration context.
Building your ETL pipelines for big data processing using Apache Spark has become viable choice of many as it not only helps organisations to dramatically reduce costs but it will facilitate agile and iterative data discovery between legacy systems and big data sources.”