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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
The project orientation is very much unique and it helps to understand the real time scenarios most of the industries are dealing with. And there is no limit, one can go through as many projects... Read More
Not all dataset comes structure. Or better put, there are more unstructured or semi-structured datasets that they are structured. And as a data engineer, we should at least give a good amount of structure or schema to data before it becomes useful for any downstream operation.
In this Hackerday session, we will evaluate and demonstrate how to handle rather unstructured data sets from the ginniemae.gov data disclosure history site. This dataset is a free text data that comes with a codebook describing the data. A lot does actually happen between the codebook and the data and we will see all in this sessions.
Ginnie Mae is a federally-owned corporation that helps to create and guarantee mortgage-backed securities in the US housing market. It is a lot more than that. See https://www.investopedia.com/terms/g/ginniemae.asp from more.
Use the dataset on aviation for analytics to simulate a complex real-world big data pipeline based on messaging with AWS Quicksight, Druid, NiFi, Kafka, and Hive.
Learn to write a Hadoop Hive Program for real-time querying.
In this big data project, we will discover songs for those artists that are associated with the different cultures across the globe.