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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 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
In this spark project, we will embark on real-time data collection and aggregation from a simulated real-time system.
The dataset for the project which will simulate our sensor data delivery is from Microsoft Research Asia GeoLife project. According to the paper, the dataset recoded a broad range of users’ outdoor movements, including not only life routines like go home and go to work but also some entertainments and sports activities, such as shopping, sightseeing, dining, hiking, and cycling. This trajectory dataset can be used in many research fields, such as mobility pattern mining, user activity recognition, location-based social networks, location privacy, and location recommendation.
As a part of this big data project, we will use the data to provide real time aggregates of the movements along a number of dimension like effective distance, duration, trajectories and more. All streamed data will be stored in the NoSQL database - HBase.
In this project, we will walk through all the various classes of NoSQL database and try to establish where they are the best fit.
In this project, we will evaluate and demonstrate how to handle unstructured data using Spark.
In this spark streaming project, we are going to build the backend of a IT job ad website by streaming data from twitter for analysis in spark.