This Apache Spark online course has been curated according to industry current standards and trends by our leading industry experts having substantial experience in the Spark domain. Spark is a lightning-fast framework for computing memory arrays that can be used for a variety of purposes. This open-source JVM-based framework can be used to process and analyze large amounts of data and can also be used to share data across a cluster of machines. It is designed to perform both batch and stream processing, and hence it is known as an array computing platform.Apache spark tutorial will help you develop the core Apache Spark skills you need and start an exciting career as a Spark developer.
This Apache Spark course will help you master the basics of the open-source Apache Spark framework and the Scala programming language, including Spark Streaming, Spark SQL, Machine Learning, GraphX Programming and Spark Shell Scripting. You will also learn about the role of Spark in overcoming the limitations of Map Reduce. Our Apache Spark tutorial covers all the critical aspects from the basic level to the professional level. Our expert instructors are proactive in parting their real-time knowledge and solve your queries at any given time. This Apache Spark training program helps you deep-dive into the Spark concepts and equip you with the required skill set to handle all the real-time issues in the organization.By the end of this course you will learn what is Apache Spark from scratch to advanced.
Apache Spark Certification Key Features
This Apache Spark Certification course is beneficial for developers, software architects, data scientists, and IT professionals who want to enhance their skill set or if they want to shift to the Apache Spark Fresher’s who want to pursue a career in Apache Spark can also opt for this course.
Apache Spark is an open-source framework for distributed cluster computing and a unified analytics engine for big data processing with integrated modules for streaming, graphing, SQL and machine learning.
Hadoop is designed for efficient batch processing, while Spark is designed for efficient real-time processing. Hadoop is a high-latency computing framework that lacks interactive space, while Spark is a low-latency computing framework that allows for interactive data processing.
We would provide you with Spark certificate upon the completion of the course. Many leading organizations recognize our certificate. It will give you an edge in the market and would be value add to your resume.
We would provide you with a recording of the session and also an apache spark tutorial for self-study.
Yes, we provide demo classes to give confidence in continuing with QTS.
Yes, we do provide job assistance and also help prepare for the interview by providing sample apache spark interview questions.