gantt tableau

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

1, according to the official website of the practice video, groups can be more than the choice of columns, then use the paperclip button to create a group, and rename it, as follows:2, but in Tableau10 open practice workbook exercise, did not directly display the group results, just create the latitude of the grouping, the result is as follows:3. Using the data source in the workbook and creating a new icon test is still the effect in step 2:4. After testing in the new practice workbook, use the

. One reference is to provide a defective analysis report. Allow candidates to study the report, express the meaning of the conclusions in the report, propose existing problems or deficiencies, and propose methods for improvement or remedy.5. ConclusionAt the final stage of the interview, you need to answer other questions from the candidate and trust the company's competitive position in the industry and its role in your career. After completing the interview, you need to archive the interview

First of all, I would like to thank Miss Lin Feng for choosing me. @ Kener-Lin Feng (1) Next I will introduce Baidu's data visualization components echarts and zrender.As we all know, the arrival of the big data era not only brings challenges but also opportunities, but it is only a start. The big data era will have a major impact on our lives. As Victor may-schenberger, author of The Big Data age, said, "Today, data has become a commercial capital and an important economic investment, new econo

online memory-based high-speed analysis. Transwarp Data Hub integrates Data integration/ETL, big Data storage and online service systems, memory-based efficient computing engines, high-performance SQL, statistical analysis, and machine learning, achieving Performance breakthroughs. In Sun yuanhao's words, Transwarp Data Hub has a "lightning" speed, which is 10-10 faster than the open-source Hadoop 2.0 ~ 100 times. In addition, Transwarp Data Hub has powerful analysis capabilities and is fully c

as SAP BO, Cognos, ORACLEBIEE, etc., self-help BI, such as foreign tableau, Qlikview, domestic finebi, Yonghong bi and so on.From the perspective of the enterprise of the product, we can measure from the leading ability, product ability, service ability and price ability. Can be judged by a set of "BI Selection Index system" given by sea ratio research.1, leading capacity = Industry Status + leadingsuch as the company's low in the industry, market sh

Core idea: expected calculation.Pre-calculates the metrics that may be used for multidimensional Analysis, saves the calculated results to a cube, and exists in hbase for direct access when queriedHigh-complexity aggregation operations, multi-table connections ... The operation is converted into a query for the precomputed results. Determines that Kylin has a very good fast query, high concurrency capabilityTheoretical basis: space Change timeCuboid:kylin any combination of dimensions into a Cub

charges, the use of expensive, 1TB data may need hundreds of thousands of. Such big data products dramatically increase the total cost of ownership (TCO) of BI applications. In today's BI market, new trends are emerging and gaining momentum, such as agile bi and exploratory bi. In the past two years in the United States, two companies Qliktech and Tableau have successfully listed and entered the mainstream market, and in China has emerged in the Yong

total can not be repeated calculation of the state Government sales). reporting tools after 10 years of development, most of the front-end challenges have been properly resolved, such as Style report,Runqian reports,QlikView, Tableau, each of which solves these challenges in different ways. Now the report is mainly complex in the backend, that is, the calculation of the data source. N Complex business logic. For example: Find salespeople with th

', -' Memorandum ' = ' Memoranda ', the' Millennium ' = ' millenniums ',//MilenniaBayi' Moose ' = ' moose ', the' Mosquito ' = ' mosquitoes ', the' Mouse ' = ' mice ', -' Nebula ' = ' nebulae ',//Nebulas -' Neurosis ' = ' neuroses ', the' nucleus ' = ' nuclei ', the' Oasis ' = ' oases ', the' Octopus ' = ' octopi ',//Octopuses the' Ovum ' = ' ova ', -' Ox ' = ' oxen ', the' Paralysis ' = ' paralyses ', the' parenthesis ' = ' parentheses ', the' Person ' = ' people ',94' Phenomenon ' = ' phenome

principle-in science, it's a thesis statement.From there you can develop the kernel, and begin to focus on ' minor plot lines ' and other information ' in and of Itsel F may isn't being compelling, but the greater context adds value to the story. That kernel can work in the different ways.Enhance:start Big and Narrow inWhether you ' re using a series of visuals, a graph, a chart, or something completely new and different, you can layer the D Elivery of your information. The first method of laye

products in this area are highly competitive, such as tableau, Qlik, etc.The originator of the scheduling tool, Oozie, can implement several scenarios in which the MapReduce task runs in series, and later Nifi and kettle other tools provide a more powerful scheduling implementation, worth a try.There is no doubt that Hadoop's data governance is relatively straightforward relative to the traditional database ecosystem. Atlas is hortonworks new data go

everyone quickly and easily create interactive charts, dashboards, and data applications.　　What can bokeh provide for data scientists like me?I started my data science journey as a Business intelligence practitioner (BI Professional), and then gradually learned predictive modeling, data science, and machine learning. I mainly use Qlikview and tableau for data visualization, using SAS and Python for predictive analytics and data analysis. I have hardl

Matplotlib and Matplotlib Matplotlib may encounter color selection problems. Many people may think that the color of their own matlab style is not good. Fortunately, Matplotlib has foreseen this problem. In addition to supporting the most basic traditional matlab colors, it also supports many color Expressions: RGB or RGBA floating point value tuples,[0, 1]For example(0.1, 0.2, 0.5)Or(0.1, 0.2, 0.5, 0.3). RGB or RGBA hexadecimal string, such#0F0F0FOr#0F0F0F0F. [0, 1]A string representat

.raphaëlRaphaël is a small JavaScript library that simplifies the work of displaying vector graphs on a page.38.recline.jsRecline.js is an open source JS library for easy creation of data-based applications with javascript+html. This library has the biggest features to handle datasets including: loading, querying, and manipulating.39.RickshawRickshaw is a library of time series charts based on D3.js to create sequential interactions.40.sigma.jsSigma.js is an open-source lightweight library that

A small web site for online analysis was made with the recently-made claims applicant test data set.Data structures, algorithms and other settings are stored in the JSON file. In the future to this little broken station expansion algorithm, just modify the JSON file on the line.Of course, the result analysis still has to add the code. The page code is not affixed, after figuring out the Django View+model model, writing the program is still very simple.Those shameless reptile sites, dare not ment

data analysis.We live in a time when data is becoming "the most precious resource in the World" (""Economist", May 2017). We saw Cambrian's professional database (OLAP, time series, documents, charts, etc.), data processing tools (Hadoop,spark,flink), the data Bus (KAFKA,RABBITMQ) and other Red Sea. There are more applications that need to rely on this data infrastructure, whether it is a third-party data visualization tool (Tableau,grafana,powerbi,s

Recently, due to work needs, addicted to visualization can not extricate themselves, has been studying GIS-based map visualization, its own in the native Windows to build an ArcGIS server, with Tableau and R call WMS Service Success, is worthy of the GIS veteran application, the effect is excellent.Because the production system is basically based on the Linux environment, it is found that ArcGIS also has a corresponding Linux version, said to dry. Dow

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 cubes for more than tens of billions of datasets in Kylin-Seamless integration with BI tools:Kylin provides integration capabilities with BI tools such as

federate multiple data sources. Users can submit queries through C, Java, node. js, PHP, Python, R, and Ruby. Airpal is a Web-based query tool developed by Airbnb that allows users to submit queries to Presto via a browser. The Qubole bit Presto provides management services. AWS provides Presto services on EMR. In June 2015, Teradata announced plans to develop and support the project. Based on the announced three-phase plan, Teredata proposes to integrate Presto into the Hadoop ecosystem, to op