olap engine

to view the OLAP logic model When you consider data from the dimension perspective, you can use the terms familiar to business personnel to create a dimension query. For example, "For each region in the world, what is the change in the percentage of income of the most important 20% of our products compared to the same period of the year from the past three months ?" Or "Who is the most important 10 customers ?" You don't h

, managers, analysts, and business professionals need multidimensional reporting and analysis techniques to enable them to directly and intuitively explore their data and interact. A multidimensional Analysis technology-on-Line Analytical Processing (OLAP) is becoming more and more important in this competitive business environment. Now, with IBM DB2 OLAP servers, IBM can help you take advantage of this po

IBM DB2 Data Warehouse Edition is a set of products that combine the strengths of DB2 Data servers and the robust business intelligence infrastructure from IBM. DB2 DWE integrates Core Components for warehouse management, data conversion, data mining, and OLAP analysis and reporting. In this article, we focus on the OLAP Service provided by DB2 DWE. What is OLAP?

OLAP learning and instance Building Theoretical preparation: I. OLAP 1. What is OLAP? OLAP (on-lineanalysis processing) is a fast analysis technology that shares multidimensional information. OLAP uses multidimensional database technology to enable users to observe data from

. Spark+hadoop: Architecture: One of the better technologies in Spark technology is-spark SQL, which enables the use of SQL to manipulate the rdd of Spark, and of course the spark SQL will eventually be used by Spark's engine to be converted into the mapreduce of Spark. Maturity: is still telling development. Efficiency: Overall higher than the hive rate, but if the amount of data is very large, there is no particularl

MySQL and OLAP: analyticdb SQL query best practices for multi-dimensional analysis. the rough and fast solution is to use ROLAP (relational OLAP. Data is stored in MySQL after Dimensional Modeling. The ROLAP engine (such as the open-source Mondrian) is responsible for converting OLAP requests into SQL statements and su

advance, such as Web files. As with multidimensional databases on the server, the active data can be placed on disk or RAM. These three types of storage have different performance, in which the relational database processing speed is much lower than the other two kinds. 4. How OLAP data is processed OLAP has three methods of data processing. In fact, multidimensional data calculations do not need to be

In this paper we present BATCHDB, a in-memory database engine designed for hybrid OLTP and OLAP workloads. BATCHDB achieves good performance, provides a high level of data freshness, and minimizes load interaction between the TRA Nsactional and analytical engines, thus enabling real time analysis over fresh data under tight SLAs for both OLTP and OLA P workloads. This article describes a memory database

Optimizing the performance of online analysis processing is very important, and fortunately, some tools can help monitor and improve the operation of OLAP databases. Microsoft SQL Server Analytics Services (SSAS) provides a powerful engine for creating and managing data mining applications and online analytical processing systems, and you should carefully monitor and optimize

Tags: mysql performance optimization OLAPA multi-dimensional analysis, rough fast solution is to use ROLAP (relational OLAP). Data is modeled after dimensions and stored in the Mysql,rolap engine (such as open source Mondrian) is responsible for translating OLAP requests into SQL statements to the database. The OLAP co

SQL Server skills: how to monitor and optimize OLAP Databases It is very important to optimize the performance of online analysis and processing. Fortunately, some tools can help monitor and improve the operation of OLAP databases. The Microsoft SQL Server Analysis Service (SSAS) provides a powerful engine used to create and manage data mining applications and