OLAP (Online Analytical Processing) is a computing method that enables users to easily and selectively extract and query data in order to analyze it from different points of view.
SAP HANA is an in-memory database that helps organize and analyze big data for SAP ERP applications.
Analytical workloads:Columnar databases are ideal for OLAP workloads and aggregation queries. It provides fast query performance and efficient data retrieval, making it well-suited for business intelligence, reporting, and data analysis tasks. High data volumes: If your data size is significant and you...
All your BI Admin Cockpit information will be provided in detailed tabular presentation about OLAP Times, Run time etc., Many tables will be there for every aspect which I cannot show you in this blog, as it is already too big now :wink: Conclusion "SAP Early Watch Alert" gives us a ...
Data visualization is used throughout a BI system – in reports, as answers to queries, and in dashboards. OLAP Online analytical processing (OLAP) is a technology that powers the data discovery capabilities in many business intelligence systems. OLAP allows for fast, multidimensional analysis ...
Business intelligence architecture: ETL, data warehouses, OLAP, and data marts Architecture is a broad concept that can include the organizational aspect (data governance, policies, standards, etc.), but in this article, we’ll mainly focus on the technological infrastructure. Most often...
Data visualization is used throughout a BI system – in reports, as answers to queries, and in dashboards. OLAP Online analytical processing (OLAP) is a technology that powers the data discovery capabilities in many business intelligence systems. OLAP allows for fast, multidimensional analysis ...
In a traditional data warehouse, data is first extracted from "source systems" (ERP systems, CRM systems, etc.). OLAP tools and SQL queries depend on standardizing the dimensions of datasets to obtain aggregated results. This means that the data must undergo a series of transformations. ...
In a traditional data warehouse, data is first extracted from "source systems" (ERP systems, CRM systems, etc.). OLAP tools and SQL queries depend on standardizing the dimensions of datasets to obtain aggregated results. This means that the data must undergo a series of transformations. ...
Oracle Database In-Memory and RAC, some of the notable extra-cost items available as part of Enterprise Edition include modules for automatic workload management, database lifecycle management, performance tuning, online analytical processing (OLAP), partitioning,data compression, and management ofspatia...