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You need to fetch real-time data for the four cryptocurrencies, BTC (Bitcoin), ETH (Ethereum), LTC (Litecoin) and XRP..
"You will learn how analytics is applied to datasets practically and will hone your skills in SparkML. You’re required to build a system that keeps the users notified about new releases based on their music preferences. "
This course project will check your learning of Algorithm design using MapReduce. You all might have ordered Pizza from Dominos. You will be given transaction logs..
You will learn how to run a MapReduce job that takes input directly from S3. You will get familiar to AWS S3 service and how to do performance tuning for optimum accuracy.
You will ingest the India Annual Health Survey (AHS) 2012-13 data hosted on Amazon RDS into Hadoop correctly and process it to generate certain analyses such as: Analysis on the child mortality rate in some state..
"Decline transaction using big data technology learnt during the program - both the batch layer and the streaming layer. This is a feature to detect fraudulent transactions, wherein once a card member swipes..
"You will then learn to implement Pagerank in Spark on the same dataset with 10^6 nodes. You will implement Pagerank using RDDs. You will then compare the performance of Spark implementation of pagerank against the Mapreduce's implementation. ..
You will learn to build a a Data platform - an essential standardised way to collect and store data together from various data sources and silos to fuel data contingent applications ..
You will learn step by step what it takes to solve problems involving real-time processing - how services like Ola/Uber handle so much data and user requests?