Spark is positioned as a modern alternative to traditional MapReduce-style processing and is used for in-memory, large-scale analytics, which makes it relevant where data volumes and reporting demands are rising faster than legacy ETL can handle.
Virtual Training
Data Science, AI, and Advanced Analytics
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.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master Big Data Analytics with Apache Spark to architect scalable data pipelines, optimize distributed workloads, and deploy real-time streaming solutions using industry-standard frameworks.
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
1
Spark Foundations and Big Data Ecosystem
2
The Spark Programming Model
3
Spark SQL and Structured Data
4
Data Sources and Storage Formats
5
Advanced Spark Performance Tuning
6
Spark Structured Streaming Fundamentals
7
Integration with Apache Kafka
8
Machine Learning with Spark MLlib
9
GraphX and Graph Analytics
10
The Data Lakehouse with Delta Lake
11
Cloud Deployment and Cluster Management
12
Monitoring, Security, and Governance
13
Testing and CI/CD for Spark Jobs
Market-specific guidance for Togo
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 FoundationUsed to process large datasets in memory, run distributed SQL analytics, and support streaming and machine learning workloads.
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Spark SQL Apache Software FoundationUsed by analysts and engineers who need structured querying and optimisation over big data tables.
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Structured Streaming Apache Software FoundationUsed for continuous or near-real-time data pipelines when batch processing is too slow for the business need.
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MLlib Apache Software FoundationUsed to build machine learning pipelines directly on distributed data without moving data into separate tools.
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Delta Lake DatabricksUsed to support reliable lakehouse-style storage patterns when teams need ACID-like reliability on data lake workflows.
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Kafka Apache Software FoundationUsed to ingest and distribute event streams into Spark-based analytics pipelines.
Where this course runs
Big Data Analytics with Apache Spark Training is delivered in the cities below — pick the one that fits your schedule.
