Many of the most important data formats for data lakes, message systems, and data science sources are not simple rows and columns, but complex data types like arrays, maps, and structs. To support complex JSON message parsing, common data lake formats like Parquet and ORC, and matrix math for data science, Vertica has expanded its understanding of data. Vertica can not only reach out and query external complex data, but work with this data internally. Learn the latest updates in complex data support, and where Vertica is taking it next.