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I have 11 years of experience and work with IBM. My domain is Travel, Hospitality and Banking - both sectors process lots of data. The way the projects were set up and the mentors' explanation was... 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
Data engineering is the science of acquiring, aggregating or collection, processing, and storage of data either in batch or in real-time as well as providing the variety of means of serving these data to other users which could include a data scientist. It involves software engineering practices on big data.
The goal of this big data project is apply data engineering principles to the Yelp Dataset in the areas of processing, storage, and retrieval. We will not include data ingestion since we are already downloading the data from the yelp challenge website.
In this hive project, you will design a data warehouse for e-commerce environments.
In this project, we will evaluate and demonstrate how to handle unstructured data using Spark.
In this big data project, we will embark on real-time data collection and aggregation from a simulated real-time system using Spark Streaming.