Amazing Big Data Facts and Stats

Last Updated: 30 Apr 2017

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Spark Project-Analysis and Visualization on Yelp Dataset

The goal of this Spark project is to analyze business reviews from Yelp dataset and ingest the final output of data processing in Elastic Search.Also, use the visualisation tool in the ELK stack to visualize various kinds of ad-hoc reports from the data.

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Spark Project -Real-time data collection and Spark Streaming Aggregation

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

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Tough engineering choices with large datasets in Hive Part - 2

This is in continuation of the previous Hive project "Tough engineering choices with large datasets in Hive Part - 1", where we will work on processing big data sets using Hive.

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Analyse Yelp Dataset with Spark & Parquet Format on Azure Databricks

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.

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Analysing Big Data with Twitter Sentiments using Spark Streaming

In this big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.

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Real-time Auto Tracking with Spark-Redis

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.

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Real-Time Log Processing in Kafka for Streaming Architecture

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.

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