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 →
BDA-02 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
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USD 1,700
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10 Days
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Training Date
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8 Weeks
USD 1,700
BDA-02
Training Date
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10 Days
USD 1,700
BDA-02
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Training Date
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10 Days
USD 1,700
BDA-02
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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 India

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Why this course matters in India

Strategic context for the risks, opportunities, and capability gaps this training addresses locally.

Apache Spark training matters in India because organizations are under pressure to process larger data volumes faster, support near-real-time analytics, and modernize legacy batch workflows without sacrificing reliability. It is especially relevant for data engineering, analytics, and platform teams in sectors that rely on large-scale transaction, customer, and operational data. Leaders use Spark capability to decide how quickly they can move from siloed ETL and slow batch processing to scalable, cloud-ready data pipelines.

Scale for growing data workloads

Indian enterprises that are expanding digital services need distributed processing skills to keep ETL and analytics jobs from becoming a bottleneck as data volumes rise.

Improve pipeline responsiveness

Spark skills help teams shift from batch-heavy workflows toward faster analytics and streaming-style processing, which is important for operational reporting and customer-facing use cases.

Strengthen data engineering capability

The course is most useful for data engineers and analytics specialists who need to build, tune, and troubleshoot production-grade data pipelines rather than only prototype notebooks.

This training is timely because Indian organizations are pushing harder on digital transformation, cloud adoption, and data-led operations, which raises the cost of slow or fragile pipelines. Teams that can build and optimize Spark workflows are better positioned to support scale, resilience, and faster decision-making.

Tools and platforms relevant to this field

4

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • Databricks Databricks
    Used to develop and operate Spark-based analytics workloads on managed cloud infrastructure.
  • Apache Kafka Apache Software Foundation
    Used for streaming ingestion and event-driven pipelines that can feed Spark Structured Streaming jobs.
  • Delta Lake Databricks
    Used to support reliable lakehouse-style storage for analytical tables and incremental processing.
  • Power BI Microsoft
    Used to consume curated Spark outputs for business reporting and dashboarding.

Where this course runs

Big Data Analytics with Apache Spark Training is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Customize Training Duration

The standard duration for Big Data Analytics with Apache Spark Training is 10 Days. The options below are alternative durations with adjusted pricing.

Looking for the standard 10 Days schedule? Use the button below.

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