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The entire goal of investing in a data infrastructure is to improve the edge of business as well as the company's bottom line.
In this big data project, we are going to be designing a data warehouse for a retail shop. The design and implementation, however, we focus on answering some specific questions that are related to price optimization and inventory allocation. The two questions we will be looking to answer in this hive project include:
We will recognize the entire purpose of answer these questions with data is to boost overall bottom line for the business while improving the experience for the shoppers.
In this project, we will take a look at three different SQL-on-Hadoop engines - Hive, Phoenix, Impala and Presto.
In this project, we will look at running various use cases in the analysis of crime data sets using Apache Spark.
In this big data project, we will be performing an OLAP cube design using AdventureWorks database. The deliverable for this session will be to design a cube, build and implement it using Kylin, query the cube and even connect familiar tools (like Excel) with our new cube.