PySpark Certification Training Course

The PySpark Certification Training Course is designed to help you become a certified Spark Developer. The PySpark course offers:

• Overview of Hadoop and Big Data, including HDFS and Yarn
• Comprehensive knowledge of multiple tools that are a part of Spark Ecosystem like Spark Mlilb, Spark SQL, Kafka, Flume, Sqoop, and Spark Streaming
• Develop the capability to ingest data in HDFS using Scoop and Flume and successfully analyze large datasets stored in the HDFS
• Develop the power of effectively handling real-time data feeds through publish-subscribe messaging systems like Kafka.
• Get exposure to various real-time industry-based projects. 
• Rigorous involvement of small and medium-scale businesses throughout the training.

During PySpark Certification Training, you’ll be trained by industry experts with decades of experience in the same domain. During the course, you’ll be trained by the experts to:

• Master the critical concepts of HDFS
• Learn data loading techniques using Sqoop
• Understand Hadoop 2.x Architecture
• Understand Spark & its Ecosystem
• Understand the role of Spark RDD
• Implement Spark operations on Spark Shell
• Work with RDD in Spark
• Implement Spark applications on YARN (Hadoop)
• Implement machine learning algorithms like clustering using Spark MLlib API
• Understand Spark SQL, and its architecture
• Understand messaging systems like Kafka and its components
• Integrate Kafka with real-time streaming systems like Flume
• Use Kafka to produce & consume messages from various sources, including real-time streaming sources like Twitter
• Learn Spark Streaming
• Use Spark Streaming for stream processing of live data
• Solve multiple real-life industry-based use-cases, which will be executed using NVidya’s CloudLab

• Developers and Architects
• Senior IT Professionals
• BI /ETL/DW Professionals
• Mainframe Professionals
• Freshers
• Big Data Architects, Developers and Engineers 
• Data Scientists and Analytics Professionals

There are no such prerequisites for NVidya’s PySpark Training Course. However, prior working knowledge of Python Programming and SQL will be helpful but is certainly not at all mandatory.

• Self-paced training
• Online Classroom
• Corporate training
• Instructor-led training

Yes, you can.

With NVidya, you'll never miss a class. You'll have a recording even if you have missed a live class. Furthermore, you can also attend the same lecture in the next batch.

All the instructors at NVidya are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by NVidya for providing an awesome learning experience to the participants.

We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight into how the classes are conducted, quality of instructors and the level of interaction in a class.