This course will help you learn the in-depth concepts of Sparks Resilient Distributed Datastores, develop and grab the Spark jobs quickly with Python. By the end of this course, you may expect to understand scaling up to larger data sets using Amazon's Elastic MapReduce services and understand how Hadoop YARN distributes Spark across computing clusters.
In the entire world, Developers are leveraging the Spark framework in different languages. Such as Scala, Java, and Python. Basically, Apache Spark offers flexibility to run applications in their favorite languages. Also allows building new apps faster.
Around the globe, some large organizations have taken spark very seriously. Some popular companies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and many more. They have invested in talent around Spark. There is some ratio, in which jobs are available, such as in the batch processing of large data sets, 78% of them are engaged. Also, for event stream processing 60% required as support. Similarly, for fast, real-time data querying, around 56% are there. Moreover, at enhancing programming productivity 55% are aiming. Furthermore, there are some huge opportunities across industry segments, that includes
Check out the Big Data jobs here, https://www.naukri.com/big-data-jobs