Spark deals with processing of highly complex data. It is a powerful engine which can scale data up to terabytes and zeta bytes volume. It breaks barriers and limitations of Map Reduce which is a prime Hadoop element. The engine offers an excellent in-memory capacity and reduces writing data continuously.
Scala is a mountable computing language used on JVM. It supports various functions and programming linking objects. Providing a balance between performance and productivity is its core purpose.
Job responsibilities :
A Spark Developer has numerous duties when assigned crucial tasks like ready-to-use data for business analysis. Apache Spark frameworks are in demand for several distributed data processing. A mature mind is required for it. You will have to clean and maximize the Spark cluster. Regular duties comprise of designing processing pipelines, writing of Scala doc with codes, aggregation and transformations.
Course details/benefits :
After studying and grasping the fundamentals you can get specialization in
• Loading data from storage and reading it
• Understanding algorithms required for data analysis
• Manipulating data sets with Spark & Scala knowledge
• Avoid shuffles and re-organize computing with Spark
• You will be prepared to sit for the Cloudera Hadoop and Spark Developer certification exam
Key features of certification course and modules
• What is Big Data?
• How Spark is distinct compared to other frame works
• Real Time processing
• Limitations and solutions involving data structures
• How Hadoop solves complex problemsv • Introduction to Scala
• Dataframes & Spark SQL
• OOPs concepts
• Spark RDDs
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