The avalanche of data available today holds immense potential value for enterprises. Processed the right way, data can help gather invaluable insights, study trends, create innovative new products, and bring in measures to ward off competition. Analyzing complex sets of structured and unstructured data remains one of the biggest challenges in the big data realm. Out of the many emerging technologies, Apache Hadoop, an open source software framework written in Java, aims to address this significant need.
In 2004, Google Labs published the MapReduce algorithm. Doug Cutting was quick to realize the immense value of it, and he created Hadoop, modeled on the MapReduce algorithm. Hadoop helps reduce the complexity of processing huge amounts of data.
Here are some of the benefits that our Java developers can help extract from the implementation of Apache Hadoop:
Apache Hadoop can be the answer for organizations looking to use data-driven insights to reorganize, innovate and create new revenue streams. To read more of our thoughts in the big data space, see Dorel Matei’s post on Big Data and CQL and Sayantam Dey’s post on Apache Mahout.