Abstract: Embodiments leverage local data available from an on-premises Extract, Transfer, and Load (ETL) job, in order to efficiently perform remote processing (e.g., as implemented on the cloud). Connectivity data (e.g., target setup) and ETL logic (e.g., configuring data flattening, pivot transform, and/or data quality transform) is stored locally in a non-transitory computer readable storage medium. In response to receiving data transformed on-premises, the transformed data, connectivity data, and ETL logic are forwarded to a remote location for processing. Some embodiments may also forward the transformed data on to its original target on-premises (e.g., via a local database loader). Particular embodiments may provide hidden, Representational State Transfer (REST)-based loader(s) that duplicate output of the local ETL job. Embodiments conserve developer effort by allowing preparatory local ETL data that is already available on-premises, to be read and used for processing in a remote cloud intelligence system.

Abstract: Described herein are recombinant yeast cells that express a cytochrome C gene the expression of which causes the recombinant yeast cells to (i) grow faster than wild type yeast cells of the same species when cultured on glucose medium, and (ii) accumulate high levels of polyunsaturated fatty acid precursor molecules or target gene expression products when grown on oleic acid.

Abstract: Described herein are recombinant yeast cells that express a cytochrome C gene the expression of which causes the recombinant yeast cells to (i) grow faster than wild type yeast cells of the same species when cultured on glucose medium, and (ii) accumulate high levels of polyunsaturated fatty acid precursor molecules or target gene expression products when grown on oleic acid.