Keywords: Data warehouse, data mining, Multidimensional OLAP, virtual warehouse, Concept Hierarchies, Bitmap Indexing meta data, multiple mining functions.E. RajakumarR. RajaChaudhuri, S., Dayal, U., "An Overview of Data Warehousing and OLAP Technology", ACM SIGMOD Rec...
Usage of each type of compute engine Preparation Administrative Operations Data Integration Data Modeling DataWorks Data Modeling Overview Homepage Data Warehouse Planning Overview Business category Data layer Common layer Application layer Modeling workspace System management Data Standard Dimensional Modeling Data...
At the heart of such data management lies thedata warehouse– a pivotal part of everyIT infrastructurethat transforms raw information into actionable intelligence. This article explores the fundamental aspects of data warehousing, offering a comprehensive overview of its definition and intricate workings. ...
cloud. A data warehouse can be created in minutes for massive real-time data query and analysis, thereby improving the overall efficiency of data value mining. By leveraging the massively parallel processing (MPP) architecture, it can query data several times faster than traditional data warehouses...
analytical processing (OLAP) services. OLAP-based data warehouses have powerful analytical capabilities that can be integrated to generate significant results. Data warehouses are nonvolatile, which means that the data, once entered, cannot be changed, allowing the analysis of what has actually ...
A data source is the source of data that is processed by DataWorks. A data source can be a database or a data warehouse. DataWorks supports various types of data sources and data type conversion during data synchronization. Before you create a synchronization task, you can add data sources ...
Data is the lifeblood of any organization. In today’s world, organizations recognize the vital role of data in modern business intelligence systems for making meaningful decisions and staying competitive in the field. Efficient and optimal data analytic
Users, in some cases, would like to export the data in Palo to other systems for further analysis. Palo currently supports the following ways to export data: Export EXPORT command mainly exports the contents of the whole table (or specified section) to remote storage, such as BOS. This meth...
What is CWData? CWData is MICROS’s business intelligence solution, consisting of:• the processes in CWSerenade enabling you to extract the key data (that is, the tables and fields that MICROS has identified for inclusion in the data warehouse) • the staging tables you populate in the...
A data warehouse contains select, high-value data, or data assets, that help inform business decisions, strategy, and insights. Data can be extracted and prioritized from any number of external or internal sources. An example of an internal source is an application and its related metrics. An...