Big Data Systems for Business Problem Understanding - IT Assignment Help

Assignment Task

Business Context
Bengaluru has more than 12,000 restaurants serving dishes from all over the world. With increasing demand, new restaurants are being opened every day resulting in intense competition to attract customers. The city being an IT capital of India with lot of younger population, most of them are dependent mainly on restaurant food. Sensing the overwhelming demand, “StreetFoodies” an upcoming online food delivery aggregator service is planning to make a difference to the existing food delivery business by innovating with Data. The management team of the service is highly convinced about the data driven decision making.
Business Problem Understanding
In a stepwise manner, the team want to invest into the data platform that will help them to come up with a recommendation engine that will provide the food restaurant suggestions to the registered customers. For that purpose, the first step identified is acquiring the data from external sources, preserving and using it in remaining stages of the data processing. Over the period of time, they are planning to acquire and preserve the data about their own customer base as well.As any database architect knows, the first question they have to ask is whether to use a SQL or NoSQL database for application. SQL has had a large lead over the non-relational alternatives for decades, but NoSQL is quickly closing the gap with popular databases such as MongoDB, Redis, and Cassandra. SQL still holds 60% with rising demand for systems such as PostgreSQL. They are taking help of this report further to decide upon the database that they can harvest to fulfill their requirements, but has not reached to any conclusion yet.
Data Understanding
For this initial prototyping, the management is expecting data science team to explore the various SQL/ NoSQL database options available for the storage and querying the customer data. The customer data is available here. The data dictionary can also be read from the same source.There are around 35000 customers data is available for the analysis equating to the size of 3 GB (full_train.csv), consisting of interesting characteristics of the customers.
The Data Engineer Role
The data science team is looking for a savvy Data Engineer to join their growing team of analytics experts. The hire will be responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support their next generation of products and data initiatives.
 

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