// THE EVOLUTION OF BIG DATA: NOSQL, HADOOP, SPARK & BEYOND

Marking its 10th anniversary this year, Hadoop has evolved from a platform for batch processing large data sets to a robust ecosystem of next-generation technologies aimed at solving a myriad of real-world big data challenges today. From NoSQL databases, to open source projects like Spark, Hive, Drill, Kafka, Arrow and Storm, to commercial products offered on-premises and in the cloud, the future of big data is being driven by innovative new approaches across the data management lifecycle. The most pressing areas include real-time data processing, interactive analysis, data integration, data governance and security. Download this report for a better understanding of the current landscape, emerging best practices and real-world successes.