Apache Spark Use Cases
In order to survive the competitive struggles, every new technological innovation should seek clear use-cases out there. As the mania of a later innovation, ‘Apache Spark’ grows in the arena of big data Analytics. Apache Spark supports machine learning graph, data types, SQL and many more development languages. This is the most prompt and fastest engine designed for large scale data processing. Moreover, Apache Spark can run on Mesos, Hadoop in the cloud or standalone. It can easily access different sources of data, such as S3, Cassandra, HDFS and HBase.Show (+)
Popular Use Cases For Spark
No matter where you want to use Spark and on whatever platform, the major factor is reaping benefits of its unique aspects of use cases that make utmost sense. Spark itself has many different flavors. One of the common is Spark Streaming. This allows you to execute “streaming analytics against continue flowing data, so you can easily get answers in the real time.
Another popular use case for spark is Spark SQL. This worked with already existing SQL server implementations and use the most common database language called SQL. Other than SQL and streaming analytics, there are two uses for Spark, which are relatively less used, but are quite popular in a few circles. The main motive here is there is so much data accessible that it is quite impossible for an individual to find the correlations. As Spark Removes human factor, it offers a more balanced vision regarding the available data.
If you are seeking Apache Spark Use Cases and do not know from where to start, then at Purview Infotech we are your ultimate destination. Get in touch with our experts and get real-time solutions to your queries.Hide (-)