Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning TTSK7503

Apache Spark, a significant component in the Hadoop Ecosystem, is a cluster computing engine used in Big Data. Building on top of the Hadoop YARN and HDFS ecosystem, it offers order-of-magnitude faster processing for many in-memory computing tasks compared to Map/Reduce. It can be programmed in Java, Scala, Python, and R – the favorite languages of Data Scientists – along with SQL-based front ends.  With advanced libraries like Mahout and MLib for Machine Learning, GraphX or Neo4J for rich data graph processing as well as access to other NOSQL data stores, Rule engines and other Enterprise components, Spark is a lynchpin in modern Big Data and Data Science computing.Geared for experienced developers, Introduction to Apache Spark for Big Data & Machine Learning provides students with a comprehensive, hands-on exploration of enterprise-grade Spark programming, interacting with the significant components mentioned above to craft complete data science solutions.  Students will leave this course armed with the skills they require to begin working with Spark in a practical, real world environment.