OLAP (Online Analytical Processing)
OLAP (Online Analytical Processing) is a technology that
allows users to analyze large volumes of multidimensional data from different
perspectives. OLAP technology enables users to perform complex analytical
operations on data in real-time, with the ability to drill-down and roll-up
data to various levels of detail. It is used in business intelligence and data
warehousing systems to support decision-making processes.
OLAP technology works by storing data in a multidimensional
cube structure, rather than a traditional two-dimensional table structure. The
cube structure consists of dimensions and measures, where dimensions represent
different attributes of the data, such as time, geography, or product, and
measures represent the numerical values being analyzed, such as sales or
revenue.
OLAP तकनीक एक पारंपरिक द्वि-आयामी तालिका संरचना के बजाय एक बहुआयामी घन संरचना में डेटा संग्रहीत करके काम करती है। घन संरचना में आयाम और माप होते हैं, जहाँ आयाम डेटा के विभिन्न गुणों का प्रतिनिधित्व करते हैं, जैसे समय, भूगोल, या उत्पाद, और माप संख्यात्मक मानों का प्रतिनिधित्व करते हैं, जैसे कि बिक्री या राजस्व।
OLAP technology enables users to perform various analytical
operations on the cube, such as slicing and dicing, drilling down and rolling
up, pivoting, and ranking. Slicing and dicing involves selecting a specific
subset of data from the cube based on one or more dimensions. Drilling down and
rolling up involves navigating through different levels of detail in the cube.
Pivoting involves rotating the cube to view it from a different perspective,
while ranking involves identifying top-performing or under-performing data
based on specified measures.
There are two main types of OLAP technology:
multidimensional OLAP (MOLAP) and relational OLAP (ROLAP). MOLAP stores data in
a multidimensional cube format, while ROLAP stores data in a traditional
relational database format and uses SQL to perform OLAP operations. Hybrid OLAP
(HOLAP) combines the strengths of both MOLAP and ROLAP, by storing summary data
in a cube structure and detailed data in a relational database.
OLAP technology is used in a variety of industries and
applications, including finance, sales and marketing, customer relationship
management, and supply chain management. Its ability to quickly analyze large
volumes of multidimensional data from different perspectives makes it a
valuable tool for decision-making and strategic planning.
OLAP तकनीक का
उपयोग विभिन्न प्रकार
के उद्योगों और
अनुप्रयोगों में
किया जाता है,
जिसमें वित्त, बिक्री
और विपणन, ग्राहक
संबंध प्रबंधन और
आपूर्ति श्रृंखला प्रबंधन
शामिल हैं। विभिन्न
दृष्टिकोणों से
बड़ी मात्रा में
बहुआयामी डेटा का
त्वरित विश्लेषण करने
की इसकी क्षमता
इसे निर्णय लेने
और रणनीतिक योजना
के लिए एक
मूल्यवान उपकरण बनाती
है।
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