A goal of Data warehouse and business intelligence is to support and enable ineffective business analysis and decision making by knowledge workers.
The language used in file-based solutions is called MapReduce. This language has three main steps:
Data Warehouse describes the operational extract, cleansing, transformation, control and load processes that maintain the data in a data warehouse.
Metadata is essential to the management of unstructured data as it id to the management of structured data.
The Data Warehouse encompasses all components in the data staging and data presentation areas, including:
ISO 8000 will describe the structure and organization of data quality management, including:
Media monitoring and text analysis are automated methods for retrieving insights from large unstructured or semi-structured data, such as transaction data, social media, blogs, and web news sites.
Service accounts are convenient because they can tailor enhanced access for the processes that use them.