Teams in Costa Rica adopting cloud-native analytics can use Spark to unify ETL, SQL analytics, and streaming in one platform rather than maintaining separate tools for each workload.
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 Costa Rica
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 for distributed processing of large datasets, SQL analytics, streaming workloads, and machine learning at scale.
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Databricks Lakehouse Platform DatabricksUsed when organizations want managed Spark execution together with lakehouse storage, collaborative notebooks, and production data pipelines.
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Delta Lake DatabricksUsed to add reliability features such as ACID transactions and schema enforcement on data lake storage used by Spark workloads.
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Apache Kafka Apache Software FoundationUsed to ingest and route streaming events into Spark Structured Streaming pipelines for near-real-time analytics.
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Spark SQL Apache Software FoundationUsed to run structured queries on large datasets and support analysts who need SQL access to distributed data.
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MLlib Apache Software FoundationUsed to build and operationalize machine learning workflows directly on Spark dataframes and 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.
