In this course we start at foundational level with Apache Spark technical essentials where you can learn the foundations of Apache Spark, master real-time data processing using Spark streaming, Spark SQL, Spark Machine Learning Libraries (Spark MLib) Course Schedule This is a weekend course that will be held July 20 – August 11, 2019 US Pacific Time The class sessions will be held-Saturday, Sunday every weekend for 4 weekends 9:00-11:00 AM US Pacific time, each day. Please check your local date and time for first session. Prerequisites Exposure to knowledge of databases, SQL (Structured query language). Basic knowledge of object-oriented programming. Knowledge of Scala. Course Features 4 weeks, 8 sessions, 16 hours of total LIVE Instruction Training material, instructor handouts and access to useful resources on the cloud provided Practical Hands on Lab exercises on cloud workstations provided Actual code and scripts provided Real-life Scenarios Course Outline Introduction to Spark Spark Vs MapReduce Spark Vs Hadoop Spark Installation, Configuration, Shell Spark and Resilient Distributed Datasets (RDD) Batch and Real-Time Analytics with Apache Spark Functional Programming Spark Architecture Collections Object-Oriented Programming Integrations Spark Core Persistence Cassandra (NoSQL database) Spark Integration with NoSQL (Cassandra) and Amazon EC2 Spark Streaming Spark SQL Spark MLLib How to write and deploy Spark Applications Spark Parallel Processing Kafka Spark performance Scheduling and Partitioning Refund Policy 100% refund can be applied if request is initiated 24 hours before the 1st course session. If a class is rescheduled/cancelled by the organizer, registered students will be offered a credit towards any future course or a 100% refund. Poista tai päivitä tapahtuma
