Understanding the workflow of MapReduce with an Example On a daily basis the micro-blogging site Twitter receives nearly 500 million tweets, i.e., 3000 tweets per second. We can see the illustration on Twitter with the help of MapReduce. In the above example Twitter data is an input, and MapReduce performs the actions like Tokenize, filter, count and aggregate counters. Tokenize: Tokenizes the tweets into maps of tokens and writes them as key-value pairs. Filter: It filters the unwanted words from maps of tokens. Count: Generates a token counter per word. Aggregate counters: Prepares a combination of similar counter values into small manageable units. Here is a Mapreduce Tutorial Video by Intellipaat Related Blogs What’s Inside Kafka Interview Questions Lists essential Kafka questions for big data streaming job interviews. Sparse Matrix in Data Structure Explains sparse matrices for efficient storage and computation in data structures. Splunk Interview Questions Details Splunk questions for preparing for log analytics and monitoring roles. Hive Interview Questions Showcases Hive questions for data warehousing and SQL-based big data roles. Kafka Tutorials Offers a guide to Apache Kafka for real-time data streaming and processing. Apache Spark Interview Questions Provides Apache Spark questions for big data processing job interviews. HDFS Interview Questions Lists HDFS questions for Hadoop file system and big data storage roles. Top Big Data Challenges Explores key challenges in managing and processing large-scale big data. Sqoop Interview Questions Details Sqoop questions for data transfer roles between Hadoop and databases. Our Big Data Courses Duration and Fees Program Name Start Date Fees Big Data Hadoop Course in Bangalore Cohort Starts on: 7th Jun 2025 ₹22,743 Big Data Hadoop Training in Pune Cohort Starts on: 7th Jun 2025 ₹22,743