Data management and data preparation with a focus on applications in large-scale analytics projects utilizing relational, document, and graph database systems.
Use-cases of the relational model, the normalization process, and structured query language. Techniques for data cleaning and integration, and database programming for extract, transform, and load operations. Use-cases of unstructured data, indexing and scoring documents for effective and relevant responses to user queries. Creating backend data structures through graph data models and query processing. Write programs for data preparation and extraction using various data sources and file formats.