Apache Spark and Scala Certification Training

COURSE DESCRIPTION

If your company is focusing on the Internet of Things, Spark can drive it through its capability of handling many analytics tasks concurrently. This is accomplished through well-developed libraries for ML, advanced algorithms for analyzing graphs, and in-memory processing of data at low latency. Low latency data transmitted by IoT sensors can be analysed as continuous streams by Spark. Dashboards that capture and display data in real time can be created for exploring improvement avenues. Spark has dedicated high-level libraries for analyzing graphs, creating queries in SQL, ML, and data streaming. As such, you can create complex big data analytical workflows with ease through minimal coding. As a Data Scientist, you can utilize Scala’s ease of programming and Spark’s framework for creating prototype solutions that offer enlightening insights into the analytical model.

Introduction to Big Data Hadoop and Spark, Introduction to Scala for Apache Spark, Functional Programming and OOPs Concepts in Scala, Deep Dive into Apache Spark Framework, Playing with Spark RDDs, DataFrames and Spark SQL, Machine Learning using Spark MLlib, Deep Dive into Spark MLlib, Understanding Apache Kafka and Apache Flume, Apache Spark Streaming, Processing Multiple Batches, Apache Spark Streaming, Data Sources