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 What is Apache Spark?

Apache Spark is an open source big data processing framework that runs massive amount of data analytics applications across clustered computers. It can process data from a variety of data resources, including the Hadoop Distributed File System (HDFS), NoSQL databases and relational data stores such as Apache Hive.

Spark supports in-memory processing to boost the performance of big data analytics applications and it can also do conventional disk-based processing when data sets are too large to fit into the available system memory.

 

Why is Apache Spark important?

  1. Spark is Open Source.
  2. The amount of data generated around the globe each day is 2.5 exabytes according to Adepta, March 2015 edition, and the big data market reached $27.4 billion in 2014 according to Wikibon, March 2015 edition. Spark is clearly a computing architecture expressly designed for this level of growth.
  3. IBM made an announcement in June 2015 that it will educate more than 1 million data scientists and engineers on Spark.
  4. Spark offers more than 80 high-level operations and excels at programming models involving iterations, interactivity, streaming and more.
  5. Spark is able to make use of the Hadoop File System (HDFS) while at the same time, does not require HDFS.
  6. Spark supports SQL-based queries and streaming applications.
  7. Spark’s multi-stage in-memory primitives provides performance up to 100 times faster for certain applications compared to Map Reduce.
  8. Spark is well-suited to machine learning algorithms.
  9. There is an increasing demand to support BI workloads using a combination of Hadoop and Spark SQL.

 

Why the course is most sought after?/ What are the career benefits in-store for you?

  1. According to the popular IT job portal, Dice.com, a keyword search for the term “Spark Developer” showed 34617 listings as of 16th December, 2015.
  2. According to indeed.com, the average salary for a Spark Developer in San Francisco is $128, 000 as of December 16, 2015.  
  3. According to O’Reilly, data engineers who have experience with Apache Spark and Storm earn the highest average salaries. Apache Spark and Storm skilled professionals are pulling close to $150,000 in yearly salaries, when compared to the total average salary of data engineers which is $98,000.
  1. Users find it easy to use, reliably fast, and aligned to growth in real-time analytics.
  2. Spark is creating opportunities for big data exploration by making it easier for a wide range of people to solve a growing variety of data problems.
  3. Data Scientists and Data Engineers all want to work with Spark.
  4. Organizations can use Spark on top of the existing Hadoop clusters as can it run on Hadoop MapReduce as well as YARN and on HDFS.
  5. With high compatibility of Spark with Hadoop, companies are on the verge of hiring increased number of Spark developers as they do not have to re-invest on computing clusters because it can be integrated well with Hadoop. This also makes learning spark an added advantage for professionals with expertise in Hadoop skills.
  6. A recent survey on Spark adoption revealed that Spark community has had most of the contributions compared to other open source projects managed by Apache foundation.
  1. A survey findings show that among Apache Spark adopters 68% of the companies are using Spark to render support for BI workloads.
  2. Big data predictions for 2016 expect Apache Spark to go its own way, creating a novel, vibrant ecosystem with popular cloud vendors releasing their individual Spark PaaS offerings.
  3. Industry-wide Spark skills shortage is leading to a number open jobs and contracting opportunities for big data professionals.
  4. Spark developers are so in-demand that companies are agreeing to bend the recruitment rules, offer attractive benefits and provide flexible work timings just to hire experts skilled in Apache Spark.

 

Who should do this course?

The course can be taken up by:

  1. Big Data Evangelists
  2. Software architects
  3. Developers 
  4. Data Scientists
  5. Business Analysts

 

 Pre-Requisites: Basic familiarity with Linux or Unix –Intermediate-level programming skills in either Scala or Python Course will be a bonus.

 

 

 

 

 

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