Duration

30 Hours(For Regular Course)

4-8 Hours(For Capsule Course)


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Apache Spark

This web-based training course on Apache Spark functionality, administration and development, is available online to all individuals, institutions, corporates and enterprises in India (New Delhi NCR, Bangalore, Chennai, Kolkatta), 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.


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 DataFrames

  • 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 SparkContext
  • 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

With the growing volumes of Big Data, the significance of tools like Apache Spark is rapidly increasing. Adopted by some of the biggest tech giants such as Yahoo, Netflix, the data processing engine is becoming highly popular. The demand of professionals who have a good hand in this technology is particularly in great demand. Quite easy to learn and use, the data processing engine is becoming the most sought technology to learn by beginners as well as Big Data professionals. Once you get the perquisite knowledge about Apache Spark, you open yourself to new job opportunities. A Certification training online in Apache Spark is all you need in order to familiarize yourselves with the complex and basic terminologies and practices of this data processing engine.


1. Are lab-sessions available after theory sessions?

We provide online lab facilities to all our students, wherever possible & applicable, using a combination of one or more options, including global ASP setups, live-environments, real-time simulations, training-videos, PPTs, Screenshots and others.

2. Who and how qualified are the instructors?

All our instructors go through a rigorous and multiple processes of filtering and selection before they are appointed by us. Only the most qualified, most experienced and best suited candidates are chosen as instructors.

3.What are the machine requirements for the course?

You must have a fairly good desktop PC or laptop. You can even access these courses on your tabs or smart phones. For PCs and laptops the configuration should be at-least an Intel Pentium processor, 4GB of RAM and 50 to 100 GB of free hard disk space. You must also have a good and steady WiFi internet connection which works at 3G or 4G speeds.

4.How will I undergo practical training in the course?

Depending on the type of lab facilities available for the course you have enrolled in for our instructor would be happy to help you in your lab sessions.

5.What is the process to get my questions/queries answered?

Get in touch with your trainer. You can also consult your batch-mates. We believe in collaborative and practical learning.

6.Can a free demo session be provided?

We do not provide free demo sessions.

7.Will there be a provision for repetition if I miss a class?

We encourage our trainees to attend all sessions. If you have missed a session we will try out best to update you on it, if possible. Else you will need to pay a small fee to have a repeat session arranged specifically for you.

8.Does your organization provide assistance in job hunting?

We are connected across the industry in India and abroad. We will pass on any job openings from our customer to our trainees. But we are not a manpower placement provider.

9.How and where can I make the payment?

You can pay using any credit or debit card in India or abroad. You can also pay using your PayPal account.

10. Will practice material or tests be also provided with the course?

Yes. As required & as applicable.

11.What is the minimum or maximum batch size?

Minimum/maximum batch sizes vary from course to course, depending upon a number of factors. It can vary from as few as 2 to as many as a few hundred, in some cases. But that number does not impact the quality of training that we deliver due to our tight quality-control mechanisms.

All trainees will be provided with a course participation and completion certificate by Aurelius Corporate Solutions. Please note, we are an independent provider of learning solutions. We are not affiliated in any manner to any company or organization.

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