best olap tools

1. First of all, let's not take big data to say things, first analysis of OLAP and OLTP.OLAP: Online analytical Processing (OLAP) systems are the most important applications of data warehouse systems and are specifically designed to support complex analytical operations, with a focus on decision support for decision makers and senior management.OLTP: Online transaction processing (oltp,on-line Transaction p

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 submitting them to the database. The

The difference between OLAP and OLTP and what is Data Warehouse OLAP is often referred to as a data warehouse. But the data warehouse is only part of OLAP, not all. OLTP multi-index than OLAP, and the real-time requirements of high, updated and modified many. OLAP generally

Online transaction Processing OLTP (on-line transaction processing) primarily performs basic, daily transaction processing , such as the increase, deletion, modification, and checking of database records . For example, in a bank to access a payment, is a transaction transaction. The features of OLTP typically include:1. High real-time requirements;2. The amount of data is not very large;3. Transactions are generally deterministic, so OLTP is access to definitive data (e.g., deposit and withdrawa

Oltp:on_line Transaction processing online transaction processing Olap:on_line Analytical processing online Analytical processing OLTP, as its name suggests, focuses on business processes. OLAP is specially designed to support complex analysis operations, focusing on decision support for decision makers and senior managers, it is possible to quickly and flexibly perform complex query processing of large amounts of data, and provide the query results

I'm not going to introduce the concepts of OLTP and OLAP here, and these are the same DBAs that are required to understand. Today's topic is why binding variables fit in OLTP systems rather than OLAP systems. In some ways, we can look at OLTP and OLAP systems like this, OLTP system small query many and OLAP systems are

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 computation analysis function causes the MySQL

Converts OLTP data to provide acceptable performance in the OLAP system, which requires a series of operations. Merge data First, we must be able to process all relevant information of a specific project (products, customers, employees) from multiple OLTP (on-line transaction processing, online transactions) the system is merged into an OLAP (Online Analytical Processing, Online Analytical Processing

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 engine specifically designed for mixed OLTP a

How to select appropriate tools in the data warehouse project, so that engineering and technical personnel and business management personnel often face difficulties when choosing OLAP tools, generally, we should consider the features, applicability, performance, scalability, and future development trends of the product in five aspects. In general, the importance

Some practical tips for using OLAP functions The online analytical Processing,olap function is very flexible and powerful. By using these functions, you can find a simple solution for some problems that are either to iterate over one or more cursors, or to be recursive. In some other cases, it is much easier to use OLAP functions or auxiliary tables than to not

Label: DB-ETL-DW-OLAP-DM-BI Relationship Structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appea

Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not

OLAP (on-line analysis processing)It is a kind of software technology that enables analysts, administrators, or executors to quickly, consistently, and interactively access information from multiple perspectives to gain a deeper understanding of data. OLAP is designed to meet decision-making support or specific query and report requirements in multi-dimensional environments. Its core technology is the conce

July is the taglib of Mondrian's performance layer, which maintains a good development progress.I have never used it for a long time. I forgot about it and wrote down my little experiences. 1. Localization1.1 search for all resources. properties files and convert them to resources_zh.properties files.1.2 native2ascii resources_zh.properties1.3 search for all XML files under the WEB-INF/jpivot and convert them to xxx_zh.xml 2. ArchitectureJuly's architecture seems an alternative, but it is actual