microstrategy tableau

In OLAP technical documents, there are two main types that are often mentioned: multidimen1_olap (molap) and Relational OLAP (ROLAP). In order to combine the advantages, based on the two, a new type of Hybrid OLAP (holap) is proposed, that is, Hybrid OLAP technology. From a technical point of view, ROLAP (microstrategy implementation) and molap (COGNOS implementation) have their own advantages. The former is based on relational databases. Its OLAP eng

to get GIS content, including imagery, maps, related document and attribute information;8) Esri Maps for Office: enables Office users to quickly make tabular data into maps and insert map slides in ppt;9) ArcGIS Earth (coming soon): a free, lightweight 3D map viewing app that can be used by members of the public or the organization. integration with existing systems: You can create and browse maps directly from other business apps, such as Microsoft Office and SharePoint, while ArcGIS can also

Question: If all the characters of string 1 appear in the second string in the order of the strings, then string 1 is called a substring of string 2. Note that the character of a substring (string 1) must appear in string 2 consecutively. Compile a function, enter two strings, calculate their longest public substrings, and print the longest public substrings. For example, if two strings BDCABA and ABCBDAB are input, and both BCBA and BDAB are their longest common substrings, the output length is

Package ms100;/** * A step will always have an n level, assuming you can jump 1 levels at a time. can also jump 2 levels, to find the total number of total common jump method. And analyze the time complexity of the algorithm * Note: This problem is often seen in the near future. including MicroStrategy and other more attention to the algorithm of the company has selected a problem as a face test or pen test.First we consider the simplest case: if ther

Package ms100;/** * A step with a total of n-level, if you can jump 1 levels, you can jump 2 levels, the total number of total hop method, and analyze the algorithm time complexity * Note: This problem has recently appeared, including MicroStrategy More attention to the algorithm of the company has selected a problem as a face test or pen test. First of all, we consider the simplest case: if there is only 1 steps, that obviously there is only one jump

topic: If all characters in a string are in the order in which they appear in the string, then a string called a substring of string two. Note that characters that do not require substring (string one) must appear consecutively in string two. Write a function, enter two strings, ask for their longest common subsequence, and print out the longest common subsequence.For example: Enter two strings Bdcaba and Abcbdab, string BCBA and Bdab are their longest common subsequence, then output their lengt

), multidimensional Database, Data Warehouse Pilot, Comshare, Arbor, Cognos, microstrategy provide backtracking, dynamic data information at various levels Data mining What's the sales going to be like in Boston next month? Why? "Advanced algorithms, multiprocessor computers, massive database Pilot, Lockheed, IBM, SGI, other startups provide predictive information Table I. The evolutionary process of data mining. The core module technology of data m

manipulation of single documents. Because documents can become entities, this is enough for many scenarios.? Traditional Non-realtime Data warehousing. Traditional relational data warehouses and variants (columnar relational) is well suited in certain business Intelligenc E problems–especially If you need SQL (see below) to use client tools (e.g. MicroStrategy) with the database. For cases where the analytics was realtime, the data very complicated t

tools The previous tools are based on a prior model and have been used to detect known patterns and rules. Automatic Processing of complex, heterogeneous, and large-scale data often fails, therefore, we need to visualize the data analysis process to better explore patterns and find problems. Currently, the best data analysis visualization tools on the market are tableau and ggplot2 in R. These products have the following advantages: It is closely r

; 'syni ', 87 'oases' => 'oases', 88 'octopus' => 'octopi ', // octopuses 89 'ovum' => 'ova ', 90 'ox '=> 'oxen', 91 'paralysis' => 'paralyses ', 92 'parenthesis' => 'parentheses ', 93 'person' => 'people ', 94 'phenomenon' => 'phenomena', 95 'potato '=> 'potates', 96 'radius' => 'radii ', // radiuses 97 'scraise '=> 'scafs', // scarves 98 'self' => 'selves ', 99 'series' => 'series ', 100 'sheep '=> 'sheep', 101 'shelf' => 'shelves ', 102 'sciss' => 'sciss', 103 'species' => 'species ', 104 'st

There are many visual tools, such as tableau, a variety of JS framework, I personally feel it should be the best to learn JS, because JS does not need the environment, every computer has a browser, and like matplotlib need a development environment such as python, or more troublesome, But after all, using Python to process the data, this article is to write some of their own study notes, of course, know what the most important painting (I do not know-

and quantitative)This is big data. If you have a quantitative reasoning background and a degree in math or statistics, then you're half done. Plus, with some experience using statistical tools such as R, SAS, Matlab, SPSS, or Stata, you'll be able to lock in these jobs. In the past, many quantitative engineers have chosen to work on Wall Street, but with the rapid development of big data, it is now necessary to have a large number of geeks with a quantitative background.SqlThe data-centric lang

need. Leaflet is designed as an easy-to-use, performance-friendly tool. Thanks to HTML5 and CSS3, it supports all major computer and mobile platforms. If you also want to expand the app, there are a number of plugins available to install.URL please poke Download–leafletTableau PublicIt's an easy-to-operate app that can help you create a visually stunning piece of work. Just open the data and explore it with Tableau's desktop version. Then, store the visualizations in your 1GB

When "web Analytics" develops into "data intelligence", there is no doubt that data analysts should also have some changes in their work, in the past, primarily web-centric and channel-specific tactics, while in the future they need to be responsible for more strategic, business-oriented and (large) data expertise.The primary focus of data analysts should not be on lower-level infrastructure and tool development. The following points are the opportunity areas for data analysis:1. Processing: Mas

, thanks to open source projects such as Impala, published by Cloudera, SQL has been reborn as a common language for the next generation of Hadoop-sized data warehouses. 7. Data visualization (visualization) Big Data may not be easy to understand, but in some cases attracting eyeballs through fresh data is still an irreplaceable method. You can always use multivariate or logistic regression analysis to parse data, but sometimes using a visualizer like Ta