ppi in teradata

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The implementation of GMM's EM algorithm

.% ============================================================% @SourceCode author:pluskid (http ://blog.pluskid.org)% @Appended by:sophia_qing (http://blog.csdn.net/abcjennifer) percent Generate Initial centroids th Reshold = 1e-15; [N, D] = size (X); If Isscalar (k_or_centroids)%if k_or_centRoid is a 1*1 number K = K_or_centroids; Rn_index = Randperm (N); %random index N Samples centroids = X (Rn_index (1:k),:);%generate K random centroid Else% k_or_centroid is a I Nitial k cen

The implementation of GMM's EM algorithm

.% ============================================================% @SourceCode author:pluskid (http ://blog.pluskid.org)% @Appended by:sophia_qing (http://blog.csdn.net/abcjennifer) percent Generate Initial centroids th Reshold = 1e-15; [N, D] = size (X); If Isscalar (k_or_centroids)%if k_or_centRoid is a 1*1 number K = K_or_centroids; Rn_index = Randperm (N); %random index N Samples centroids = X (Rn_index (1:k),:);%generate K random centroid Else% k_or_centroid is a I Nitial k cen

ARM Linux 3.x Device tree (Device) __linux

the node does not specify Interrupt-parent. For this example, the root node specifies interrupt-parent = interrupts– uses the interrupted device node to specify the interrupt number, triggering method, etc., which contains the number of cell, determined by the #interrupt-cells attribute of the interrupt Controller node it attaches to. What each cell is meant to be, is generally determined by the driver's implementation, and is also explained in the binding document of Device tree. For example,

The implementation of GMM's EM algorithm

.% ============================================================% @SourceCode author:pluskid (http ://blog.pluskid.org)% @Appended by:sophia_qing (http://blog.csdn.net/abcjennifer) percent Generate Initial centroids th Reshold = 1e-15; [N, D] = size (X); If Isscalar (k_or_centroids)%if k_or_centRoid is a 1*1 number K = K_or_centroids; Rn_index = Randperm (N); %random index N Samples centroids = X (Rn_index (1:k),:);%generate K random centroid Else% k_or_centroid is a I Nitial k cen

SAS9.3 64-bit version Win7 installation Guide

;*prodnum045 = mddb SAS OLAP Server;*prodnum050 = Dminesol Enterprise Miner Server;*prodnum054 = Intrnet sas/intrnet;*prodnum070 = mddbcom mddb Server Common products;*prodnum075 = inttechsrv SAS integration Technologies;*prodnum095 = Securewbndl Sas/secure Windows;*prodnum110 = Sasolapbndl SAS OLAP Server;*prodnum119 = eguide SAS Enterprise Guide;*prodnum123 = Esribrdgord SAS Bridge for ESRI;*prodnum164 = oropt sas/or optimization;*prodnum165 = Orprs sas/or Project and Resource scheduling;*prod

A detailed explanation of the dynamic query mode of Cognos

module such as the Software Development Kit (SDK) receives a report request, the request is first processed by the Query planning layer.The upper part of the query planning layer is the query Framework (QFW). QFW checks the report request and determines whether it contains one or more requests, and the query should be processed here. OLAP queries for SAPBW, such as Oracle Essbase and ibmcubing Services-type data sources, go to OLAP query planner. Relational queries for IBM DB2, Oracle,

DevExpress v15.1:reporting Control Enhancements (ii)

configure custom data sources. The wizard contains a visual query builder that simplifies the building of complex SQL queries (including filtering and connectivity).enhanced WPF Reporting featuressupport for composite printingNow the WPF printing library contains a Compositelink class that allows you to combine multiple printing links in a single document.Enhanced data access capabilitiesEnhanced Query Builder Query grid Support Sorting and Grouping Support Aggregation function

DevExpress v15.1:reporting Control Enhancements (ii)

configure custom data sources. The wizard contains a visual query builder that simplifies the building of complex SQL queries (including filtering and connectivity).enhanced WPF Reporting featuressupport for composite printingNow the WPF printing library contains a Compositelink class that allows you to combine multiple printing links in a single document.Enhanced data access capabilitiesEnhanced Query Builder Query grid Support Sorting and Grouping Support Aggregation function

Schemaspy: database architecture document producer and some defect modifications to the software. Provide toolkit download

Type Description DB2 IBM DB2 with 'app' driver Db2net IBM DB2 with 'net' driver Udbt4 DB2 UDB type 4 Driver Db2zos DB2 for Z/OS Derby Derby (javadb) Embedded Server Derbynet Derby (javadb) network server Firebird Firebird HSQLDB HSQLDB Server Informix Informix MaxDB MaxDB MSSQL Microsoft SQL Serv

Mapreduce: A major regression

value of Parallel Computing in computer clusters. In fact, this feature was studied by the database management system research community in the 1980 s, and multiple prototypes were proposed, such as gamma, Bubba, and grace. Commercial exploitation of these ideas in the system was at the end of 1980s, such as teradata. To sum up, in the past 20 years, a high-performance, commercial SQL engine (with structure descriptions and indexes) has emerged for

Solve the problem of "unable to get managed connections from the runtime Connection Manager" When SSIS connects to the ODBC Data Source

Recently, I tried to use sqlserver2005 integrate services to extract data from heterogeneous databases and use the ODBC-connected teradata as the data source. Refer to the "SQL Server 2005 database development details" (Electronic Industry Press Hu baijing Yao Qiao Mei) P361-363, the operation steps in SSIs are as follows: (1) Right-click the Connection Manager and choose create connection> ODBC to create an ODBC connection. (2) create a dataread

Recent advances in SQL on Hadoop systems (1)

OLAP.3. Data imported from other external DW data sources through the ETL tool.All of the current SQL on Hadoop products are actually suitable in one or some specific areas, without the silver bullet. It is unrealistic at this stage to satisfy almost all enterprise-class applications like Oracle/teradata. So every SQL on Hadoop product is trying to satisfy the characteristics of a particular class of applications.Typical requirements:1, interactive q

A discussion of big data and databases

big data categories, such as Teradata, Oracle ExaData, Greenplum, IBM DPF ...3. Relative to data redundancy, I think the paradigm is mainly about data consistency. This is critical in transactional applications.4. Many of the features in a relational database are good, such as paradigms, consistency constraints, indexes, SQL optimizer based on statistics, not the big data platform, but because of the constraints on the CAP's quasi-side, which are dif

DevExpress v15.1:winforms Control feature upgrade (v)

free Download devexpress Winforms Controls v15.1. 5>WinForms Snap ReportingData Source WizardThe Snap new Data Source Wizard simplifies the process of binding a snap control to a data source at run time.WinForms SQL Data Sourceimproving the Query builder Query grid Support Sorting and Grouping Support Aggregation functions On-demand column Loading Support TeradataOur Data Access library now allows you to bind to a Teradata da

DevExpress v15.1 New Highlights: WinForms control feature upgrade (v)

WinForms Snap ReportingData Source WizardThe Snap new Data Source Wizard simplifies the process of binding a snap control to a data source at run time.WinForms SQL Data Sourceimproving the Query builder Query grid Support Sorting and Grouping Support Aggregation functions On-demand column Loading Support TeradataOur Data Access library now allows you to bind to a Teradata database. When you use the Data Source wizard to bind

How to choose a database platform wisely

also have their own extensions and changes.   Key tasks (OLTP) and high-performance systems If we need databases to play a more important role in key business systems and want to achieve no-fault time, high availability, and cluster reliability (performance and data volume ), disaster replication, automatic report generation, and other goals, or the need to achieve extremely high-speed and low-latency (HPC, high-performance computing) results, we may need enterprise-level database features, but

Data warehouse architecture

IntroductionThe data warehouse architecture is a branch of the IT architecture. As the core role of data in enterprises increases, the data warehouse architecture becomes increasingly important. The data warehouse architecture seems complicated because of its wide selection of technologies. However, there is a set of stable ideas behind it. This is also a key point in the design of the data warehouse architecture, which contains changes in stability, the changes are stable.In general, the data w

Seven popular business intelligence products (non-open source)

ETL solution for high-performance business intelligence. It optimizes data merging, extraction, conversion, and dimension management, and provides a data warehouse suitable for enterprise reports and analysis. Vi. NCR NCR has announced the separation of teradata from its data warehouse business department, showing its determination to the business intelligence market. The dynamic data warehouse of teradata

Hadoop Benchmark Test and example

#pi值示例hadoop Jar/app/cdh23502/share/hadoop/mapreduce2/hadoop-mapreduce-examples-2.3.0-cdh5.0.2. Jar PI - $#生成数据 The first parameter is the number of rows the second parameter is the location of the Hadoop jar/app/cdh23502/share/hadoop/mapreduce2/hadoop-mapreduce-examples-2.3.0-cdh5.0.2. Jar Teragen1000000/teradata# Specifies the number of maps used, default is 2 Hadoop jar/app/cdh23502/share/hadoop/mapreduce2/hadoop-mapreduce-examples-2.3.0-cdh5.0.2.

Oracle data integrator targets increasingly in-depth BI

ODI is a data integration solution designed to help users free themselves from the time it takes to store a large amount of information on a variety of platforms and applications within the enterprise to do more meaningful things. Oracle says integrated software allows companies to easily Process Business Intelligence, data warehouses, primary data management, business activity monitoring, application porting, and merging, and services-Oriented Architecture-related transactions. ODI optimizes ho

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