RDDs Courses and Certifications

Getting Started with PySpark and RDDs

1 rating

Master PySpark's Resilient Distributed Datasets (RDDs) to efficiently create, transform, and analyze large-scale data through hands-on practice with file operations and data transformations.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Introduction to PySpark

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Spark Starter Kit

4614 ratings at Udemy

NOT another "What is Spark?" course ! Explore Spark in depth and get a strong foundation in Spark.

• Udemy
• 3 hours 18 minutes
• Self-Paced
• Free Online Course

Apache Spark for Java Developers

3775 ratings at Udemy

Get processing Big Data using RDDs, DataFrames, SparkSQL and Machine Learning - and real time streaming with Kafka!

• Udemy
• 21 hours 43 minutes
• Self-Paced
• Paid Course

Big Data Computing with Spark

10 ratings at edX

Learn the theory and gain hands-on experience of big data systems, using Spark as the exemplary platform.

• edX
• 8 weeks, 6-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Apache Spark 3 & Big Data Essentials in Scala

2296 ratings at Udemy

Learn practical Big Data with Apache Spark DataFrames, Datasets, RDDs and Spark SQL, hands-on, in Scala

• Udemy
• 7 hours 18 minutes
• Self-Paced
• Paid Course

Best Hands-on Big Data Practices with PySpark & Spark Tuning

1542 ratings at Udemy

Semi-Structured (JSON), Structured and Unstructured Data Analysis with Spark and Python & Spark Performance Tuning

• Udemy
• 13 hours 5 minutes
• Self-Paced
• Paid Course

PYSPARK End to End Developer Course (Spark with Python)

1335 ratings at Udemy

Learn PySpark end to end features and functionalities. Course also includes a Python course and HDFS Commands Course.

• Udemy
• 1 day 5 hours 6 minutes
• Self-Paced
• Paid Course

AI Workflow: Enterprise Model Deployment

62 ratings at Coursera

Explore Apache Spark, Docker, and Watson Machine Learning for enterprise model deployment. Learn best practices for data manipulation, model training, and tuning, focusing on recommender systems and scalable solutions.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Packt Credential

Big Data Foundations with Hadoop and Spark

15 ratings at Coursera

Master big data processing with Hadoop and Spark through hands-on projects covering HDFS, MapReduce, Spark Streaming, and Kafka integration for scalable data pipelines.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Edureka

PySpark in Action: Hands-On Data Processing

Master PySpark for distributed data processing, from RDD basics to advanced DataFrame operations and SQL queries. Handle big data efficiently using hands-on exercises and real-world applications.

• Coursera
• 15 hours 11 minutes
• Self-Paced
• Paid Course

LearnKartS

Kafka Integration with Storm, Spark, Flume, and Security

Learn advanced real-time data processing with Kafka integration, exploring Storm, Spark, and Flume frameworks. Gain skills in data security, performance tuning, and administrative tasks for robust, scalable systems.

• Coursera
• 3 hours 45 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark: Apply & Evaluate Big Data Workflows

Master Apache Spark's distributed data processing through RDD operations, persistence strategies, and file format handling for scalable big data workflows.

• Coursera
• 4 hours 23 minutes
• Self-Paced
• Paid Course

EDUCBA

Apache Spark with Scala: Master Data Building & Analysis

Master Apache Spark with Scala to build scalable big data applications, implement real-time streaming, and create fault-tolerant data pipelines for analytics roles.

• Coursera
• 8 hours 44 minutes
• Self-Paced
• Paid Course

From 0 to 1 : Spark for Data Science with Python

779 ratings at Udemy

Get your data to fly using Spark for analytics, machine learning and data science​

• Udemy
• 8 hours 19 minutes
• Self-Paced
• Paid Course