ETL Tools: IBM Datastage
Informatica PowerCenter
Teradata ETL Automation
OLAP (On-line Analytical Processing)
Microsoft related products: SSAS
Olap--rolap--molap
Related (to find):
OLAP (On-line analysis processing) is a kind of software technology that enables analysts, managers, or executives to access information quickly, consistently and interactively from multiple perspectives to gain a deeper understanding of the data.
The goal of OLAP i
Original: http://blog.csdn.net/insistgogo/article/details/77850381, the basic idea of fast sorting:Quick sort using the idea of divide and conquer, the waiting sequence is divided into two parts by a sort of order, and some of the recorded keywords are smaller than the keywords recorded in the other part. The two parts of the records are then sequentially sorted to achieve the order of the entire sequence.2. Three steps to quickly sort:(1) Select Benchmark: In a pending sequence, pick an element
Quick sort the simplest interval segmentation form has been introduced in the previous blog post, is one-way processing, the following describes the quick sort of other forms, are two-way processing, that is, the processing mode is smaller than pivot to the left, more than pivot to move to the right, when the two directions intersect, Move pivot to a position in
);Return;}// Optimization 2: carefully select the partitioning element, that is, pivot// If it is a small-scale array (size // If it is an array of medium size (7 = // If it is a large-scale array (size> 40), take a pseudo-medium number (in the middle of the number s) from the nine specified numbers)Int m = off + (len> 1 );If (len> 7 ){Int l = off;Int n = off + len-1;If (len> 40 ){Int s = len/8;L = med3 (x, l, l + s, l + 2 * s );M = med3 (x, m-s, m,
Chapter 4 Section 3Pivot Table component terminology
One of the purposes of designing the pivot table component is to make the table column data source and the multi-dimensional data source user interface consistent with the programming model. Although each type of data source has special requirements, we want the two data sources to be identical in appearance and usage.
At the same time, we consider that for business people who only need to extract t
Quick sorting (with Java implementation and analysis)
To sum up the quick sorting, if any errors or deficiencies exist, please share with us.1. Fast sorting
The idea of fast sorting is similar to that of Merge Sorting. Quick sorting by selecting an element, called a pivot element or sharding element, puts it in a proper position so that the element before it is no greater than it, the element after it is not smaller than it, and then the
Parallel Database for OLTP and OLAPJust ASurvey article on materials in parallel database products andTechnologies for OLTP/OLAP applications. It mainly covers majorCommercial/academic efforts on developing parallel DBMS to solve theEver growing large amount of relational data processing problem.Part I–parallel DBMSs1.1 Parallel Database for OLAP (SHARED-NOTHING/MPP)TeraData–teradata Home–
We have already talked about the basic understanding of fast sequencing in the previous article, see Http://www.cnblogs.com/curo0119/p/8588565.html, and then let's take a closer look at the optimization of the quick row.1, the basic idea of fast sorting:Quick Sort using the idea of divide and conquer, the waiting sequence is divided into two parts by a sort of order, and some of the recorded keywords are smaller than the keywords recorded in the other part. The two parts of the records are then
The pivot and Unpivot relational operators are the new features provided by SQL Server 2005, so when you use pivot and UNPIVOT for databases that are upgraded to SQL Server 2005, the compatibility level of the database must be set to 90 (you can use sp_ Dbcmptlevel stored procedures to set the compatibility level.
Using pivot and UNPIVOT in the FROM clause of a q
decomposed into sub problems. There are so many key operations. Pivot selection of the Operation Getpivot, choose which keyword to be divided; a sort operation, according to the selected pivot of the sorting partition function, recursive call interval segmentation operation. Algorithm Implementation
Select Pivot
To get the p
1. OverviewSorting and searching are two kinds of very basic problems in program design, and there are many classical algorithms to solve these two kinds of problems, this paper mainly discusses the implementation of the ranking algorithm in Java, hoping to play a useful role. Before that, let me ask you a few questions: can you write a correct quick row? What's the real quick? Is your line fast enough? Can you further optimize it? With these questions, let's see how the Jre7 is achieved.The imp
*/Mergepass (tr,l->r,k,l->length);k=2*k;/* sub-sequence length doubled */}}/* **************************************** *//* Quick Sort ******************************** *//* Exchange Order table L record of the sub-table, make pivot record in place and return to its location *//* At this time the record before it is small (smaller) to it. */int Partition (sqlist *l,int low,int High){int PivotKey;pivotkey=l->r[low]; /*
sort = new Bubblesort (); SYSTEM.OUT.PRINTLN ("Sequence before sequencing:"); Sort.printarr (arr); Sort.bubblesort (arr, 0, arr.length-1); System.out.println ("Sorted after sequence:");; Sort.printarr (arr);} public void Bubblesort (int[] r, Int. Low, int.) {int n = high-low + 1;for (int i = 1; i D. Results output2. Quick sort A. Algorithm descriptionFast sorting is a typical example of applying the divide-and-conquer method to the sorting problem, and the basic idea of the fast ordering is
9.9.4 Fast Sorting optimization
Just speaking of the quick sort or there are a lot of improvements can be made, we look at some of the optimization scheme.
1. Optimize Pivot selectionIf the PivotKey we choose is in the middle of the entire sequence, then we can divide the whole sequence into decimal sets and large numbers. But notice, what I just said was "if ... Is the middle ", then if we choose the PivotKey is not the middle number. For example, we
objectsToolbar buttons with Rect tool selected (Rectangle tools selected in Toolbar)The Rect Tool can be used-move UI element around, resize them, and rotate them, all in one. Once You has selected a UI element, you can move it by clicking anywhere inside the rectangle and dragging. You can resize it by clicking on the edges or corners and dragging. The element can be rotated by hovering the cursor slightly away from the corners until the mouse cursor indicates a rotati On symbol. You can then
Quick Sort OptimizationThe quick line is can be optimized, then what can be optimized, is it the same as you think? Let's look down. 1, optimize the selection of the pivot valueIf the PivotKey we have selected is in the middle of the entire sequence, then we can divide the whole sequence into fractional and large sets of numbers. But notice, what I just said was, "if ... Is the middle, so what if the pivotkey we choose is not the middle number? For e
Optimized for some details 10% faster than the previous quick row/** * @authorCLY * Quick Sort*/ Public classMyquicksort {/*** Treats row array sort (ascending) *@paramarr Queue Array *@paramThe starting position of the pivot pivot in the array to be sorted (sort start bit) *@paramend bit of this quick row (sort end bit)*/ Public Static voidSortint[] arr,intPivotintend) { intTmp_pivot =
Title Description: Given an unordered array of integers, find the number of bits. The median is the intermediate value of the sorted array, and if the number of arrays is an even number, the number of N/2 of the sorted array is returned.Example: Give the array [4, 5, 1, 2, 3], return 3; give array [7, 9, 4, 5], return 5The goal is to find the number that is in the middle of the line. This is not reminiscent of the quick sort, the quick row is the pivot
These days in a bidding system in the approval module, which about the quotation information this piece, using pivot and UNPIVOT to achieve the data of the row and column, the following brief introduction, the actual case, easy to recall and record the conditions used under the circumstances. The pivot and UNPIVOT functions are the new 2 functions provided by SQL2005, P
to divide (partition), in which the first element is selected as the pivot element, and then scanned from both ends of the sequence to be ordered, and when scanning from the tail to the head, if the element is greater than or equal to the pivot element, no action is required on the sequence. Because these elements are in the correct position, if an element is found to be smaller than the
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