Virtual Training
Data Infrastructure and Database Technologies
Streaming Data and Real-Time Analytics Online Course
Join our virtual, live instructor-led session and master Streaming Data and Real-Time Analytics Training from anywhere in the world.
5 Days
Duration
Live Online
Delivery
12 Dates
Available
Certificate
Included
Master streaming data and real-time analytics to cut latency, automate decisions, and act on live events with confidence.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| STR-03 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| STR-03 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| STR-03 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| STR-03 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| STR-03 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| STR-03 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Foundations of Real-Time Analytics
2
Event-Driven Pipeline Design
3
Apache Kafka Architecture
4
Spark Streaming Windowing
5
Flink Low-Latency Processing
6
Real-Time Analytics and Alerts
7
Governance and Observability
Market-specific guidance for Canada
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.
-
Apache Kafka Apache Software FoundationUsed to ingest and distribute event streams with low latency for real-time processing and downstream analytics.
-
Spark Structured Streaming Apache Software FoundationUsed to build stateful stream-processing jobs, including windowed aggregations and near-real-time transformations.
-
Confluent Platform ConfluentUsed for managed Kafka operations, stream governance, and event-driven data pipelines in production environments.
-
Confluent Cloud ConfluentUsed when teams want managed streaming infrastructure without operating Kafka clusters themselves.
-
Power BI MicrosoftUsed to build live dashboards and operational reporting on top of streaming or fast-refresh data models.
-
Databricks DatabricksUsed to combine streaming ingestion, transformation, and analytics in a managed lakehouse environment.
Where this course runs
Streaming Data and Real-Time Analytics Training is delivered in the cities below — pick the one that fits your schedule.
