microstrategy analytics

Huangyin Kai Original works reproduced please indicate the source "Linux kernel Analysis" MOOC course http://mooc.study.163.com/course/USTC-1000029000According to the experimental requirements, the operation in the experimental building. (I do not know whether it is my problem or the lab building problem, run the code for a long time not to produce results, so part of the teaching video)(Time slice rotation, you can see the code of my start kernel)(Enter appropriate instruction to view Mykernel

= (${devicestate_0}/${sumdevice}) *100;if ( Length (a) ==scale (a)) print0;printa "|BC ' devicestate_1_rate= ' echo" scale =2;a= (${devicestAte_1}/${sumdevice}) *100;if (Length (a) ==scale (a) print0;printa "|BC" Devicestate_2_rate= ' echo "scale=2;a= (${devicestate_2}/${sumdevice}) *100;if (Length (a) ==scale (a)) Print0;printa "|BC ' online_time=$ ((${devicestate_0}+${devicestate_1}) /360)) #${mysql_sql}-e ' insertintoanaly.device_data_report (date, Deviceid,netstate_0_rate,netstate_1_rate,d

problems2.1.2 Considerations for New datasetsThings to check for:Number of rows, columnsNumber of category variables, range of values for categoriesThe missing valueStatistical characteristics of attributes and labelsHandling Missing values:1. There is a large amount of data, directly discard missing values2. Data is more expensive, difficult to obtain, fill missing valueLost value interpolation: The simplest way to replace missing values with the average value of all this item per line2.2 Clas

to analyze the Google Analytics search engine traffic trends. Assuming our site has been operating for 1,2,3 three months, if we want to know the search engine traffic ratio changes, first of all need to select the January date range, see the flow from the survey report, note the percentage, and then the same way to see the other 2 months. Overall, the search engine flow rate of direct flow is the highest, search traffic and referral flow is rel

Data mining is one of the most exciting new features of SQL Server . I view data mining as a process that automates the analysis of data to obtain relevant information, and data mining can be integrated with either relational or OLAP data sources, but the benefits of integration with OLAP are extremely significant. Because the structured data source makes the user no longer need to provide the massive information to the data mining algorithm. Although not an expert, I learned from my colleague G

://www.microsoft.com/sql/bi/ProjectReal/). Note: This article is only a draft, and it includes a number of constructive practices that are based on our earlier experience with the Community Technology Preview (CTP) work in SQL Server 2005. Before the release of the product, the descriptions in the white paper are accurate. The functionality of the product described in the document may vary. In the future, a better practice scenario may be offered. SQL Server 2005 is the development tool that we

Training Big Data architecture development, mining and analysis!from zero-based to advanced, one-to-one technical training! Full Technical guidance! [Technical qq:2937765541] https://item.taobao.com/item.htm?id=535950178794-------------------------------------------------------------------------------------Java Internet Architect Training!https://item.taobao.com/item.htm?id=536055176638Big Data Architecture Development Mining Analytics Hadoop HBase

] [, default]) over ([query_partition_clase] order_by_clause);Leads (value_expression [, offset] [, default]) over ([query_partition_clase] order_by_clause);whichValue_expression: Can be a field or a built-in function.Offset is a positive integer, which defaults to 1, indicating the number of records forward or backward. Because the first record in the group does not have a previous row, the last line does not have a subsequent row,Default is used to process such information, which defaults to n

Label:Analytic functions are new types of functions that are introduced in the 9i version of the Oracle database and are continuously enhanced in later versions. Analytic functions provide the ability to aggregate reference values across rows and levels. The effects of analytic functions can be achieved using traditional SQL statements, but the implementation is more complex and less efficient.The analytic function has three basic components: a partition clause, a sort clause, and a window-openi

1. Capture Oracle-related messagesFetching messages destined for native Oracle from the native machineCommand: Tcpdump-w dumpfile-i Lo-a-S 0 host 172.20.61.2The generated message file is DumpFile.2, Wireshark network analysis650) this.width=650; "src=" Https://s5.51cto.com/wyfs02/M01/8D/C0/wKiom1ippTvBu7ukAAElp4R-9tA967.png "style=" float : none; "title=" Wire1. PNG "alt=" Wkiom1ipptvbu7ukaaelp4r-9ta967.png "/>650) this.width=650; "src=" Https://s4.51cto.com/wyfs02/M00/8D/BD/wKioL1ippTyT-bSiAAGo

benefits of using Ramlog is that there is no need to worry about a daemon sending a message to the syslog every 30 seconds, before the hard drive must be kept running, which is bad for hard drives and batteries.19. Package first, then writeIn memory to partition a fixed size of the space to save the log file, which means that the laptop hard drive does not have to keep running, only when a daemon needs to write to the log to run, note that the Ramlog use of memory space is fixed, otherwise the

Ask for yourself, today's project to access Google Analytics, which is used for statistical analysis, you can view the current mobile phone active users, event clicks and so on data, first look at the effect:Prior to eclipse inside the access has been successful, yesterday the project team decided to use Android studio to develop, see Google official documents, official document Https://developers.google.com/analy