tableau infographics

. The MT table Creates 12 partitions in tbs_mt_2012 based on the monthly partition method. You can manage these data files on your own later. When the tablespace is not enough, you can manually add data files (set the location by yourself). When the tablespace is exceeded, You can resize any of the data files. Create a tablespace: create tablespace tableau datafile 'E:\ORACLE\ORADATA\data\tableau01.DBF' size 4096m autoextend off, 'E:\ORACLE\ORADATA\da

There were two major voices for big data technology at the o'reilly Media Conference in New York in September this year: enterprise level and agility. We know that enterprise-level business intelligence products include Oracle Hyperion, SAP businessobjects, and IBM cogonos, while agile products include qlikview, tableau, and tibco spotfire. If it turns out that big data must purchase enterprise-level products, it means that big data will spend a lot

The qlik sense desktop case shows the effects of several report cases that have just been viewed and completed (if the image is not displayed normally, refresh the page again) -I personally feel that the report design process is very simple and convenient, and the report interaction is also very strong, it is easy to analyze and view data information from various dimensions. I guess many people have heard of qlikview, and we can see that qlik has ranked second in the 2014 Bi development tool ran

· Consecutive ones Matrix Partition· Consecutive ones matrix Augmentation· Consecutive block Minimization· Consecutive Sets· 2-dimen1_consecutive Sets· String-to-string correction· Grouping by swapping· External macro data compression· Internal macro data compression· Regular Expression substitution· Rectilinear Picture Compression Database problems minimum cardinality key· Additional key· Prime Attribute name· Boyce-codd Normal Form Violation· Conjunctive query foldability· Conjunctive Boolean

learn to manage them, to push them caller, they are too timid to say, you have to summarize their work to show to the important people. (If you can't recruit Chinese, no one will burn coal?) The engine is broken, the ship is very important. You can't burn coal, your ship doesn't matter, with the experience of working on this ship, you can jump to other boats, so you need to meet and focus on important people when you're at work, because their networks can help you find your next boat very quick

APACHE kylin™ OverviewApache kylin™ is an open-source, distributed analytics engine that provides SQL query interface and Multidimensional Analysis (OLAP) capabilities on top of Hadoop to support hyper-scale data, originally developed and contributed by ebay Inc to the open source community. It can query large hive tables in sub-second.What is Kylin?-Extensible hyper-fast OLAP engine:Kylin is designed to reduce the latency of billions of data queries on Hadoop-Hadoop ANSI SQL Interface:Kylin pro

, in addition, it is difficult for users to expand it.It is worth noting that racer, fact, and pellet use the descriptive logic as the theoretical basis,AlgorithmThe tableau algorithm is used. These systems have done a lot of optimization work. Jena is an application development kit for semantic web. It contains comprehensive content, and the inference engine is only part of it. The inference engine provided by Jena is similar to that provided by ra

monotonic nature of the raw data will help you think about the relationships between the variables in the system. In addition to starting from the blank data, wait for inspiration to suddenly enter your consciousness. You can also be more positive, by following these great resources to help you uncover interesting associations: An automatic data visualization tool developed by Charted--medium. Design better charts through Google Sheets, illustrator and sketch.

Apache Kylin's official websitehttp://kylin.apache.org/cn/-Extensible hyper-fast OLAP engine:Kylin is designed to reduce the latency of billions of data queries on Hadoop-Hadoop ANSI SQL Interface:Kylin provides standard SQL support for most query functions for Hadoop-Interactive query capabilities:With Kylin, users can interact with Hadoop data in sub-second, providing better performance on the same data set than hive-Multidimensional cubes (MOLAP cube):Users can define data models and build cu

as an example, its subordinate urban area has 5 administrative districts, there are 8 counties, explain how the next boundary coordinates output ~ (2) on the code, (beginners python, a lot of grammatical structure is still very unclear, here only for the implementation of functions, code written very vexed, readers PAT) #-*-Coding:utf-8-*-# The first line must have, otherwise the report text Fu Fei ASCII error import urllib2 import NumPy as NP import JSON import pandas as PD from Pandas I

Recently See Git lfs article, read the next introduction, is really good, similar to Git, but a little different oh. If you want to track the files, go ahead. git lfs track *.pdf In the past, when we were in Tableau's big files, we were going to use git, but it would be slow, and maybe Git server would be hung up. Git in version code, will be differ, just make changes to the change record, do not know git lfs binary is how to do, perhaps each file saved a portion, this is simple (and git trea

meta-data management is essential in the process of data processing and warehouse construction, OEMM can address a variety of key business and technical challenges in the metadata management process, including how to manage metadata, understand the downstream impact of change data, and OEMM stand out in the browser from a business perspective. In the report, you can display the complete metadata information in the enterprise for analyzing and improving the management of meta data. OEMM builds a

deployed. (official deployment Help documentation) To download and install the package: The help document gives a EPEL link (epel:extra Packages for Enterprise Linux), logs on to the Linux server, and downloads the package with root privileges. (wget command Download) Find the package downloads that match your server version, r and Rstudio server's installation package are all inside, and some commonly used Rstudio company developed R packages such as Ggplot2,dplyr and so on are included. Afte

R Tokenize Nltk.tokenize (UK), Jieba.tokenize (middle) Tau::tokenize Stem Nltk.stem Rtexttools::wordstem, Snowballc::wordstem Stopwords Stop_words.get_stop_words Tm::stopwords, Qdap::stopwords Chinese participle Jieba.cut, Smallseg, Yaha, finalseg, genius Jiebar TFIDF Gensim.models.TfidfModel Unknown Topic model category Python

-threaded algorithm, but Kylin uses a parallel algorithm.User-TOPN queries, such as fetching 100 data, are written as SQL statements as shown in. and Kylin will automatically adapt to such a SQL to directly use the pre-aggregated good results, so at run time Kylin just put the pre-calculated 1000, 10,000 item directly back to the good, there is almost no online calculation, the speed will be very fast.　　7. Integration of analysis tools　　In the new version, Kylin also added some ODBC interfaces,

the data sources are also diverse. data processing, analysis, and mining and presentation are no longer limited to traditional methods, unstructured massive data needs to be developed and mined urgently. market demands are becoming increasingly popular and technologies are constantly innovating. Distributed Storage and nosql database technologies are continuously developed and applied to data warehouses to achieve scalable massive data storage and high-performance queries, which inspires and su

key/value data;　　Hanoidb:erlang LSM btree Storage;　　LevelDB: Google writes a quick key-value repository that provides an ordered mapping from string keys to string values;　　Lmdb:symas developed ultra-fast, ultra-compact key-value embedded data storage;　　ROCKSDB: Based on sexual leveldb, embedded persistence key-value store for fast storage.　　Business Intelligence BIME Analytics: Business Intelligence cloud Platform;　　Chartio: Lean business intelligence platform for visualization and exploration