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I have worked for more than 15 years in Java and J2EE and have recently developed an interest in Big Data technologies and Machine learning due to a big need at my workspace. I was referred here by a... Read More
I came to the platform with no experience and now I am knowledgeable in Machine Learning with Python. No easy thing I must say, the sessions are challenging and go to the depths. I looked at graduate... Read More
In this Big Data project, a senior Big Data Architect will demonstrate how to implement a Big Data pipeline on AWS at scale. You will be using the sales dataset. Analyse sales data using highly competitive technology big data stack such as Amazon S3, EMR , Tableau to derive metrics out of the existing data . Big data pipelines built on AWS to serve batch ingestions of the data for various consumers according to their needs . This project is highly scalable and implemented on a very large scale organisation set up.
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.
In this Databricks Azure tutorial project, you will use Spark Sql to analyse the movielens dataset to provide movie recommendations. As part of this you will deploy Azure data factory, data pipelines and visualise the analysis.
In this project, we will look at Cassandra and how it is suited for especially in a hadoop environment, how to integrate it with spark, installation in our lab environment.