Teams can use Spark to process larger data volumes without redesigning every pipeline from scratch, which is useful where data growth is outpacing conventional ETL tooling.
Big Data Analytics with Apache Spark Online Course
Join our virtual, live instructor-led session and master Big Data Analytics with Apache Spark Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| BDA-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| BDA-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| BDA-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| BDA-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| BDA-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| BDA-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Spark Foundations and Big Data Ecosystem
The Spark Programming Model
Spark SQL and Structured Data
Data Sources and Storage Formats
Advanced Spark Performance Tuning
Spark Structured Streaming Fundamentals
Integration with Apache Kafka
Machine Learning with Spark MLlib
GraphX and Graph Analytics
The Data Lakehouse with Delta Lake
Cloud Deployment and Cluster Management
Monitoring, Security, and Governance
Testing and CI/CD for Spark Jobs
Market-specific guidance for Malawi
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
6Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Apache Spark Apache Software FoundationDistributed in-memory processing for large-scale batch and streaming analytics.
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Delta Lake DatabricksReliable table storage for lakehouse-style analytics workflows with schema and transaction control.
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Apache Kafka Apache Software FoundationEvent streaming backbone for ingesting and distributing high-velocity data into Spark pipelines.
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Spark SQL Apache Software FoundationSQL-based analytics layer for querying structured data inside Spark jobs.
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Structured Streaming Apache Software FoundationBuilds low-latency streaming pipelines for operational reporting and event-driven use cases.
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MLlib Apache Software FoundationBuilt-in machine learning library for feature engineering and model workflows on distributed data.
Where this course runs
Big Data Analytics with Apache Spark Training is delivered in the cities below — pick the one that fits your schedule.























