Apache Spark Course Training Online

This web-based training course on Apache Spark functionality, administration and development, is available online to all individuals, institutions, corporate and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkata), US, UK, Canada, Australia, Singapore, United Arab Emirates (UAE), China and South Africa. No matter where you are located, you can enroll for any training with us - because all our training sessions are delivered online by live instructors using interactive, intensive learning methods.

Course Details-

Apache Spark is an open-source in-memory data processing engine that provides an interface for programming complete clusters with implied fault tolerance and data parallelism. The entire data processing engine is developed around speed, accuracy, ease of access and refined analytics. Mainly used for large scale data processing, Apache Spark has become the largest open source tool for Big Data. The Apache Spark Certification Course online will teach students about the functional concepts of the data processing engine. The course is for professionals who want to acquaint themselves with the basic and advanced concepts and practices of Apache Spark.

Getting Started with Apache Spark

Overview of Spark and What Purpose it serves? Spark Unified Stack core Components What is Resilient Distributed Dataset (RDD) Spark standalone Download and Installation Introduction to Scala and Python Spark's Scala and Python shell: Launch and Use

Module 2-Resilient Distributed Dataset and Data Frames

Getting familiar with creating parallelized collections and external datasets

Working with Resilient Distributed Dataset (RDD) operations Using shared variables and key-value pairs

Module 3-Programming of Spark Application

A Brief Overview of purpose and use of the Spark Context Initializing Spark with the different programming languages Running and Demonstrating a few Spark examples Passing functions to Spark Developing and running a Spark standalone application Submitting applications to the cluster

Module 4 - Introduction to Spark libraries

Getting familiar with various Spark libraries and their uses

Module 5 Spark configuration, monitoring and tuning

Spark cluster and its Components Configuring Spark to transform the Spark properties, environmental variables, or logging

properties Using Web UIs, metrics, and external instrumentation to monitor Spark Studying and Evaluating performance tuning considerations

Live Instructor-led & Interactive Online Sessions-

Regular Courses Duration- 30 -40 Hours

Fast-Track Courses Duration- 4-8 Hours

Training Options-

Option-1 Option-2

Weekdays- Cloud Based Training Mon - Fri 07:00 AM - 09:00 AM (Mon, Wed, Fri) Weekdays Online Lab Mon - Fri 07:00 AM - 09:00 AM(Tue, Thur)

Weekend-Cloud Based Training Sat-Sun 09:00 AM - 11:00 AM (IST) Weekend Online Lab Sat-Sun 11:00 AM - 01:00 PM

Head Office

Aurelius Corporate Solutions Pvt Ltd. A-125 Sector 63, Noida-201307 Phone: +91.783.501.1153 Enquiry: contact@aurelius.in

For more details click on

http://aurelius-global.com/it-technical/apache-spark-online-training.php