Apache Spark Courses and Certifications

Hadoop and Spark Fundamentals: Unit 1

Discover Apache Hadoop ecosystem fundamentals, install HDP sandbox, master HDFS architecture, and explore Spark analytics for scalable big data processing and management.

• Coursera
• 6 hours 20 minutes
• On-Demand
• Paid Course

Coursera

Real-time analytics with Spark: User Activity Monitoring

Master real-time data processing with Apache Spark Structured Streaming, from configuring micro-batches to deploying production pipelines for monitoring user activity and extracting actionable insights.

• Coursera
• 1 hour 57 minutes
• On-Demand
• Paid Course

Microcredential

Hadoop and Spark Fundamentals

Master big data analytics with hands-on Hadoop and Spark training, covering HDFS, MapReduce, PySpark, HiveQL, and cluster management using Ambari and Zeppelin interfaces.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Data Processing, Exploratory Analysis and Visualization

Master distributed computing with Apache Spark, PySpark, and Spark SQL, then create compelling Power BI dashboards for large-scale data analysis and business insights.

• Coursera
• 1 day 5 hours 10 minutes
• On-Demand
• Paid Course

Coursera Microcredential

Performance Engineering for Data Systems

Master SQL optimization, Spark tuning, and cloud infrastructure to build high-performance data systems that deliver measurable business value through hands-on engineering practices.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 7 courses

Coursera

Build Real-Time Dashboards with Spark

Master real-time dashboard creation with Apache Spark Structured Streaming, integrating Kafka, Delta Lake, and advanced windowing techniques for live business intelligence.

• Coursera
• 4 hours 36 minutes
• On-Demand
• Paid Course

Hadoop and Spark Fundamentals: Unit 2

Master Hadoop MapReduce programming, Apache Pig, Hive QL, and Spark/PySpark through hands-on exercises including word counts, log analysis, and Wikipedia text processing for big data workflows.

• Coursera
• 6 hours 1 minute
• On-Demand
• Paid Course

Coursera

Design Real-Time Architectures with Spark & Kafka

Master real-time data pipelines using Apache Spark & Kafka for scalable streaming systems with fault tolerance, performance tuning, and production deployment strategies.

• Coursera
• 3 hours 39 minutes
• On-Demand
• Paid Course

Coursera

Optimize Spark Performance & Throughput

Master Apache Spark optimization techniques to eliminate bottlenecks, reduce shuffle overhead, and boost performance in large-scale data pipelines through practical tuning strategies.

• Coursera
• 4 hours 11 minutes
• On-Demand
• Paid Course

Coursera

Process Real-Time Data with Spark Streams

Master real-time data processing with Apache Spark Structured Streaming and Kafka to build fault-tolerant pipelines for fraud detection, recommendations, and IoT analytics.

• Coursera
• 5 hours 34 minutes
• On-Demand
• Paid Course

Coursera

Process & Analyze Real-Time Data Fast

Master real-time data processing with Apache Spark to build high-speed pipelines, live dashboards, and fraud detection systems that transform streaming data into instant business insights.

• Coursera
• 4 hours 57 minutes
• On-Demand
• Paid Course

Coursera

Fix Data Bottlenecks: Optimize Spark Performance

Unlock advanced Spark optimization techniques to eliminate data bottlenecks, analyze execution plans, and resolve shuffle inefficiencies for peak distributed system performance.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Coursera

Optimize Spark Performance: Analyze & Accelerate

Unlock Apache Spark's performance potential through systematic analysis of partitioning and caching strategies to achieve 30%+ runtime improvements.

• Coursera
• 1 hour 22 minutes
• On-Demand
• Paid Course

Packt

Time Series Analysis with Spark

Master scalable time series forecasting with Apache Spark, from data preparation to production deployment, using SARIMA, LightGBM, and NeuralProphet models for enterprise analytics.

• Coursera
• 11 hours 19 minutes
• On-Demand
• Paid Course

Packt

Data Engineering with Scala and Spark

Master building scalable data pipelines with Scala and Spark, covering streaming/batch processing, performance tuning, testing, CI/CD, and cloud deployment for data engineers.

• Coursera
• 17 hours 56 minutes
• On-Demand
• Paid Course