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Spark Twitter Streaming
4.59
Beginner level
3.75 learning hrs
Learn spark twitter streaming from basics in this free online training. Spark twitter streaming course is taught hands-on by experts. Learn about the spark streaming,input output connectors and window operations in details.
Instructor:
Mr. Bharani Akella
Modules updated 07/2025
About this course
Spark is an open-source unified analytics streaming engine for large-scale data processing. Execution through Spark brings in a few unique benefits over other traditional streaming systems. Data is multiplying every second, and Twitter is one of the best data sources for performing analytics. There are multiple ways to read live Twitter data and process them. Spark structured streaming can get the live feeds and transform the data. This free Spark Twitter Streaming is a self-paced online course that will help you understand the subject by understanding various topics starting from real-time analytics, RTA integration, input-output connectors, features in spark streaming, Twitter steaming in real-time, how it works, and such other concepts. With the demonstration, you will be able to understand how Twitter streaming works with Spark, extract insights, and apply the same concepts and techniques to stream other sources.
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Course outline
What is Real Time Analytics?
In this module, you will learn about Real Time Analytics and go through its various real-time use cases.
Big Companies using RTA
This module discusses various big companies like Uber, Netflix, and Pinterest using RTA for streamlining their processes.
Challenges in Working with Streaming Data
This module discusses challenges in working with streaming data and the two layers involved in streaming data.
Batch & Real Time systems
This module explains Batch processing and Real Time processing in detail. You will go through various features of Batch and Real Time systems.
Batch & RTA Integration
This module will help you understand Batch and RTA integration along with fault-tolerant stream processing.
Spark Streaming
This module will help you learn about Spark and Spark Streaming, and you will understand structured streaming.
Input Output Connectors
This module lets you know about the multiple connectors Spark Streaming supports and the formats in which outputs can be persisted.
Twitter Streaming in Real Time
This module consists of a demo where you will learn to process live tweets for trend analysis using Spark Streaming APIs.
Get Streaming Data using Twitter API's
This module explains in detail how to get streaming data using Twitter APIs along with the demo.
Things to know about Reliable Spark Streaming
This module explains the stream processing landscape. You will go through various stream processors, storage, and sources, and you will understand Spark streaming in detail.
Features in Spark Streaming that help prevent data loss
This module consists of a deeper view of Spark Streaming which is explained with a diagrammatic approach.
How Spark Streaming works?
You will go through a detailed explanation of the working of Spark Streaming.
Window Operations
Through this module, you will understand the windowed computations provided by Spark Streaming and the transformations applied over a sliding window of data, along with a demo.
Get access to the complete curriculum once you enroll in the course
4.59
Our course instructor
Mr. Bharani Akella
Data Scientist
Big Data Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
Can Spark be used for streaming?
Yes, Apache Spark can be used for streaming as it is a fully scalable, fault-tolerant streaming processing system primarily supporting batch and streaming workloads.
Does twitter use Spark?
Yes, Twitter uses Spark. A developer creates a TCP socket between Twitter API and Spark and awaits Spark structured streaming calls before sending it to the Twitter data.
What is the primary difference between Kafka streaming and spark streaming?
Kafka is used to analyzing the events as and when they unfold so that it can employ an event-at-a-time processing model. It also provides real-time streaming and window processing. On the other hand, Spark is used to micro-batch the technique to divide the incoming stream into little chunks for processing. The platform also pulls the data, holds it, and processes the push from the source to the target.
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Spark Twitter Streaming Course
Spark Twitter Streaming is a powerful tool for analyzing and processing real-time data from social media platforms like Twitter. It combines the power of Apache Spark, a fast and flexible big data processing engine, with the real-time capabilities of Twitter's streaming API.
In the free course on Spark Twitter Streaming, you'll learn about the challenges involved in working with real-time data, including data volume, velocity, and variety. You'll also learn about the big companies that are using real-time analytics (RTA) and how they are overcoming the challenges involved.
One of the key focuses of the course will be on the integration of batch and real-time systems. You'll learn about the differences between batch and real-time processing, and how they can be used together to provide a complete solution for data processing and analysis.
You'll also learn about the features in Spark Streaming that help prevent data loss and ensure data accuracy, including window operations, watermarks, and the Structured Streaming API. Finally, you'll get hands-on experience with Twitter Streaming in real-time, using Spark Streaming to analyze and process real-time data from Twitter.
In conclusion, the free course on Spark Twitter Streaming is an excellent resource for anyone looking to gain a deeper understanding of real-time analytics and Spark Streaming. Whether you're a beginner or an experienced data professional, this course will help you expand your skill set and advance your career in big data processing and analysis.