Spark Twitter Streaming
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.
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About this Free Certificate 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
In this module, you will learn about Real Time Analytics and go through its various real-time use cases.
This module discusses various big companies like Uber, Netflix, and Pinterest using RTA for streamlining their processes.
This module discusses challenges in working with streaming data and the two layers involved in streaming data.
This module explains Batch processing and Real Time processing in detail. You will go through various features of Batch and Real Time systems.
This module will help you understand Batch and RTA integration along with fault-tolerant stream processing.
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Frequently Asked Questions
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.
What is the main disadvantage of spark streaming?
Spark streaming comes with a number of disadvantages. A few of them are:
- It doesn't have a proper file management system
- It doesn't have real-time data processing
- It is expensive
- It has small file issues
- Latency
- Lesser algorithms
- Iterative processing
- The window criteria
Will I get a certificate after completing this Spark Twitter Streaming free course?
Yes, you will get a certificate of completion for Spark Twitter Streaming after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
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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.