Big data analytics has recently seen a lot of hype. With the increasing amount of generated and used data, organizations today are facing new challenges to satisfy the exponential increase in data needs. Managing petabytes of records and trying to analyze the growing data in real time won't be possible without having the right tools. Fortunately, several open source solutions have come to the rescue, such as the Hadoop and Spark frameworks.
Other tools and projects have been developed around the Hadoop and Spark ecosystems to address the specific needs of different big data use cases, including HBase, Storm, MapReduce, and Avro, to name but a few. Organizations could start a less painful journey in analyzing and processing the huge amount of data by integrating Hadoop tools and others in their data science endeavors. On the other hand, this smooth start...
