Apache Spark Developer

DATB-SPAAS : Stream Processing and Analysis with Apache Spark

Course Duration

3 Hours

Delivery

ILT/VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

Learn the essentials of stream processing and analysis with Apache Spark in this course. Gain a solid understanding of stream processing fundamentals and develop applications using the Spark Structured Streaming API. Explore advanced techniques such as stream aggregation and window analysis to process real-time data efficiently. This course equips you with the skills to create scalable and fault-tolerant streaming applications for dynamic data environments.

What You'll Learn

Stream Processing and Analysis with Apache Spark

Who Should Attend

This course is ideal for professionals who:

Are working as data engineers, real-time analytics developers or streaming application specialists who need to build fault-tolerant, scalable streaming pipelines using the Apache Spark Structured Streaming API.
Are responsible for ingesting, transforming and analysing data continuously (rather than in batch), and want to apply streaming concepts such as windows, stateful operations and event-time processing.
Want to leverage the Databricks Lakehouse Platform to process dynamic data sources (such as sensor data, log feeds, messaging systems) in near-real time and output analytics, dashboards or alerts.
Have programming experience (e.g., Python) and familiarity with SQL, and now wish to deepen their platform-specific skills in stream-processing architectures and Spark-based applications.
Are part of teams tasked with modernising data infrastructure from batch-only pipelines to real-time or hybrid (batch + stream) models and wish to gain hands-on experience on the Databricks platform.

Prerequisites

Basic programming knowledge
Familiarity with Python
Basic understanding of SQL queries (SELECT, JOIN, GROUP BY)
Familiarity with data processing concepts
Developing Application with Spark or Prior Databricks Experience is required

Learning Journey

Coming Soon...

1.Stream Processing and Analysis with Apache Spark

Introduction to Stream Processing
Spark Structured Streaming
Demo: Introduction to Spark Structured Streaming
Lab: Introduction to Spark Structured Streaming
Advanced Stream Processing and Analysis
Demo: Window Aggregation in Spark Structured Streaming
Lab: Window Aggregation in Spark Structured Streaming

Frequently Asked Questions (FAQs)

None

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Frequently Asked Questions

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