Apache Spark

Apache Spark

0 reviews Orders (0)
Tax ₹55,000.00
Product Code:
Stock In Stock
Size Chart


Course DescriptionApache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would he...

Product Description

Course Description

Apache Spark Certification Training Course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark Developer. This Training would help you to clear the CCA Spark and Hadoop Developer (CCA175) Examination.

You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDDs, Spark SQL for structured processing, different APIs offered by Spark such as Spark Streaming, Spark MLlib. This course is an integral part of a Big Data Developer’s Career path. It will also encompass the fundamental concepts such as data capturing using Flume, data loading using Sqoop, messaging system like Kafka, etc. 

1. Understand problems with Hadoop Map Reduce
2. Learn how Apache Spark provides solution to these Big data challenges
3. Grasp the concepts of Scala and learn their implementation
4. Become adept in Apache Spark and Spark installation
5. Understand the Apache Spark architecture
6. Play with Spark RDDs – Transformation, Action, Load
7. Learn how to handle in-memory data efficiently
8. Develop complex real-time Apache Spark applications
9. Master the concepts of Spark stream analytics
10. Learn Apache Spark streaming APIs for streaming of data
11. Learn MLlib APIs in Spark for machine learning algorithms
12. Understand Spark GraphX APIs to implement graph algorithms
13. Work on live Spark project to get hands-on experience

Why should you take Apache Spark and Scala course ?
  • Apache Spark will dominate the Big Data landscape by 2022 - Wikibon
  • Average salary of Big Data Spark Developers is $135k -Indeed
  • There will be a shortage of 1.5M Big Data experts by 2018  -McKinsey
  • Big Data market will reach $99B by 2022 at the CAGR of 42% -Forbes
  • More than 77% of organizations consider Big Data a top priority -Peer Research
Who should go for this course
Market for Big Data Analytics is growing tremendously across the world and such strong growth pattern followed by market demand is a great opportunity for all IT Professionals. Here are a few Professional IT groups, who are continuously enjoying the benefits and perks of moving into Big Data domain.
  • Developers and Architects
  • BI /ETL/DW Professionals
  • Senior IT Professionals
  • Testing Professionals
  • Mainframe Professionals
  • Freshers
  • Big Data Enthusiasts
  • Software Architects, Engineers and Developers
  • Data Scientists and Analytics Professionals
There are no such prerequisites for  Spark and Scala Training Course. However, prior knowledge of Core Java and SQL will be helpful but is not at all mandatory.

Write a review

Note: HTML is not translated!
   Bad           Good

When you order from opencartworks.com, you will receive a confirmation email. Once your order is shipped, you will be emailed the tracking information for your order's shipment. You can choose your preferred shipping method on the Order Information page during the checkout process.

The total time it takes to receive your order is shown below:

The total delivery time is calculated from the time your order is placed until the time it is delivered to you. Total delivery time is broken down into processing time and shipping time.

Processing time: The time it takes to prepare your item(s) to ship from our warehouse. This includes preparing your items, performing quality checks, and packing for shipment.

Shipping time: The time for your item(s) to tarvel from our warehouse to your destination.

Shipping from your local warehouse is significantly faster. Some charges may apply.

In addition, the transit time depends on where you're located and where your package comes from. If you want to know more information, please contact the customer service. We will settle your problem as soon as possible. Enjoy shopping!