Hadoop, as we all know is the poster boy of big data. As a software framework capable of processing elephantine proportions of data, Hadoop has made its way to the top of the CIO buzzwords list. But there’s a threat looming around.
The unprecedented rise of the in-memory stack has introduced the big data ecosystem to a new alternative for analytics. The MapReduce way of analytics is being replaced by a new approach which allows analytics both within the Hadoop framework and outside of it. Apache Spark is the fresh new face of big data analytics.
Wikipedia defines Spark as “an open source cluster computing framework originally developed in the APMLab at University of California, Berkeley but was later donated to the Apache Software Foundation where it remains today. In contrast to Hadoop‘s two-stage disk-based MapReduce paradigm, Spark’s multi-stage in-memory primitives provides performance up to 100 times faster for certain applications”. The world is looking up to Spark to change the way analytics is performed on big scale data. A natural offshoot of this trend is the burgeoning rise of career opportunities in Spark.
Career opportunities in Spark
Developers around the world are leveraging the Spark framework in conjunction with different programming languages like Scala, Java, Python among others. This provides them the flexibility to run applications on their favourite languages and build new apps faster.
Large global organizations have taken Spark seriously. Towards end of 2015, many popular companies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and Baidu have invested in talent around Spark. This trend is only expected to continue in the days to follow. It is interesting to understand the various job roles that these companies are allocating to Spark experts; 78% of them are engaged in batch processing of large data sets, 60% as support for event stream processing, 56% around fast, real-time data querying and 55% aimed at enhancing programming productivity. Additionally, Spark has seen traction across myriad industry segments that include:
- Banking and Finance
- Media and Entertainment
In order to have a fruitful career in Spark, you can choose to hone your skills in any of the following job roles:
- Software engineer,
- Software architect
- Analytics professional
- Data scientist
Edureka has a specially curated course on Apache Spark and Scala, aimed at providing the right skills to become a top-class Spark programmer. The course also includes hands-on industry-relevant projects that prepare you for real-life programming scenarios.
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