Solved end-to-end Spark Streaming Projects

Spark Streaming Projects

Get ready to use Spark Streaming Projects for solving real-world business problems

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Each project comes with 2-5 hours of micro-videos explaining the solution.

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Spark Streaming Projects


The goal of this apache kafka project is to process log entries from applications in real-time using Kafka for the streaming architecture in a microservice sense.

Learn to perform 1) Twitter Sentiment Analysis using Spark Streaming, NiFi and Kafka, and 2) Build an Interactive Data Visualization for the analysis using Python Plotly.

In this Databricks Azure project, you will use Spark & Parquet file formats to analyse the Yelp reviews dataset. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.

This Elasticsearch example deploys the AWS ELK stack to analyse streaming event data. Tools used include Nifi, PySpark, Elasticsearch, Logstash and Kibana for visualisation.

In this hadoop project, you will be using a sample application log file from an application server to a demonstrated scaled-down server log processing pipeline.

In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.

The goal of this hadoop project is to apply some data engineering principles to Yelp Dataset in the areas of processing, storage, and retrieval.

Spark Project - Discuss real-time monitoring of taxis in a city. The real-time data streaming will be simulated using Flume. The ingestion will be done using Spark Streaming.

In this spark streaming project, we are going to build the backend of a IT job ad website by streaming data from twitter for analysis in spark.

The goal of this IoT project is to build an argument for generalized streaming architecture for reactive data ingestion based on a microservice architecture. 

Who should enroll for Spark Streaming Projects ?

  • If you are working for an organization that deals with “big data” , or hope to work for one then you should work on these apache spark real-time projects for better exposure to the big data ecosystem.
  • Software Architects, Developers and Big Data Engineers who want to understand the real-time applications of Apache Spark in the industry.
  • These spark projects are for students provided they have some prior programming knowledge.

Key Learning’s from ProjectPro’s Apache Spark Streaming Projects

  • Learn to process large data streams of real-time data using Spark Streaming.
  • Setup discretized data streams with Spark Streaming and learn how to transform them as data is received.
  • Learn to integrate Spark Streaming with diverse data sources such Kafka , Kinesis, and Flume.
  • Master the art of querying streaming data in real-time by integrating spark streaming with Spark SQL.
  • Learn to train machine learning algorithms with streaming data and make use of the trained models for making real-time predictions.

 What will you get when you enroll for Spark Streaming projects?

  • Spark Streaming Project Source Code: Examine and implement end-to-end real-world big data spark projects from the Banking, Finance, Retail, eCommerce, and Entertainment sector using the source code.
  • Recorded Demo: Watch a video explanation on how to execute these Spark Streaming projects for practice.
  • Complete Solution Kit: Get access to the big data solution design, documents, and supporting reference material, if any for every spark streaming project use case.
  • Mentor Support: Get your technical questions answered with mentorship from the best industry experts for a nominal fee.
  • Hands-On Knowledge: Equip yourself with practical skills on Spark Streaming component in the spark ecosystem.