UK teams moving from legacy batch jobs to Spark can process larger datasets with fewer runtime bottlenecks, which is especially relevant where reporting windows are tight and data volumes keep growing.
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 United Kingdom
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
4Field-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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Databricks Lakehouse Platform DatabricksUsed for Spark-based data engineering, SQL analytics, and lakehouse workflows in cloud environments.
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Apache Kafka Apache Software FoundationUsed to ingest and distribute event streams into Spark pipelines for near-real-time processing.
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Delta Lake DatabricksUsed to add reliable table storage, ACID-style updates, and scalable lakehouse patterns on top of data lakes.
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Power BI MicrosoftUsed to publish Spark-processed datasets into business reporting and self-service analytics workflows.
Where this course runs
Big Data Analytics with Apache Spark Training is delivered in the cities below — pick the one that fits your schedule.
