Big Data Tools: Hadoop, Spark and Beyond
Big Data Tools: Hadoop, Spark and Beyond Big data tools help organizations store, process, and analyze large amounts of data across many machines. Two well known tools are Hadoop and Spark. They fit different jobs and often work best together in a data pipeline. Hadoop started as a way to store huge files in a distributed way. It uses HDFS to save data and MapReduce or newer engines to process it. The system scales by adding more machines, which keeps costs predictable for big projects. But Hadoop can be slower for some tasks and needs careful tuning. ...