The platform is MS Azure
Supports with processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with limited complexity, using sound technical capabilities
Data Integration (Sourcing, Storage, and Migration) - the capability to design and implement models, capabilities, and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage requirements, and migration of data from one system to another.
Batch Processing - the capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period of time
Data Quality, Profiling, and Cleansing - capability to review (profile) a data set to establish its quality against a defined set of parameters and to highlight data where corrective action (cleansing) is required to remediate the data.
Stream Systems - capability to discover, integrate, and ingest all available data from the machines that produce it, as fast as it’s produced, in any format, and at any quality