CISD 42  Big Data Integration and Processing

3.5 Units (Degree Applicable)
Lecture: 54   Lab: 27
Prerequisite: CISD 41
Advisory: CISP 10

Learn Big Data: why and where. Characteristics of Big Data and dimensions of scalability. Use Big Data frameworks and tools. Retrieve data from example database and Big Data management systems. Acquire and ingest Big Data. Get value out of Big Data by using a 5-step process to structure an analysis. Process Big Data using various technologies. Identify when a Big Data problem needs data integration. Integrate Big Data and warehouse data using various technologies. Describe the connections between data management operations and the Big Data processing patterns needed to utilize them in large-scale analytical applications.
Course Schedule