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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
I have extensive experience in data management and data processing. Over the past few years I saw the data management technology transition into the Big Data ecosystem and I needed to follow suit. I... Read More
Storing, processing and mining data from web server logs has become mainstream for a lot of companies today. Industry giants have used this engineering and the accompany science of machine learning to extract information that has helped in ads targeting, improved search, application optimization and general improvement in application's user experience.
In this hadoop project, we will be using a sample application log file from an application server to demonstrated a scaled-down server log processing pipeline. From ingestion to insight usually require Hadoop-ecosystem tools like Flume, Pig, Spark, Hive/Impala, Kafka, Oozie and HDFS for storage and this is what we will be looking at but holistically and specifically at each stage of the pipeline.
In this hive project, you will design a data warehouse for e-commerce environments.
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 big data spark project, we will do Twitter sentiment analysis using spark streaming on the incoming streaming data.