成大數(shù)據(jù)平臺與hadoop培訓-10可視化

內容安排大數(shù)據(jù)可視化1數(shù)據(jù)可視化解決方案23

分布式日志分析系統(tǒng)：報表可視化模塊總結4內容安排大數(shù)據(jù)可視化1數(shù)據(jù)可視化解決方案23

分布式日志分析系統(tǒng)：報表可視化模塊總結4數(shù)據(jù)可視化借助于圖形化，清晰有效地傳達與溝通信息——

百科數(shù)據(jù)可視化一幅圖畫最偉大的價值莫過于它能夠使

實際看到的比

期望看到的內容豐富得多！為什么要可視化？（1）海量數(shù)據(jù)每天交易信息用戶的 數(shù)據(jù)交易情況為什么要可視化？（2）復雜數(shù)據(jù)復雜的數(shù)據(jù)結構復雜的數(shù)據(jù)關系復雜的邏輯分類復雜的……為什么要可視化？（3）呈現(xiàn)數(shù)據(jù)特征為什么要可視化？（4）呈現(xiàn)數(shù)據(jù)特征內容安排大數(shù)據(jù)可視化1數(shù)據(jù)可視化解決方案23

分布式日志分析系統(tǒng)：報表可視化模塊總結4數(shù)據(jù)源靜態(tài)文件數(shù)據(jù)倉庫數(shù)據(jù)展示–圖表可視化分析OLAP數(shù)據(jù)可視化方案數(shù)據(jù)的邏輯結構–維度層級，等級度量數(shù)據(jù)立方數(shù)據(jù)源數(shù)據(jù)的組織方式靜態(tài)文件：Excel,

CSV,JSON數(shù)據(jù)庫：RDBMS數(shù)據(jù)倉庫Hive/Presto/ImpalaKylin數(shù)據(jù)源數(shù)據(jù)展現(xiàn)氣泡圖樹平行坐標軸時間軸網(wǎng)絡圖堆棧圖地圖熱力圖流程圖云矩陣圖散點圖折線圖數(shù)據(jù)表圖其他類型數(shù)據(jù)展現(xiàn)數(shù)據(jù)展示數(shù)據(jù)展示數(shù)據(jù)展示數(shù)據(jù)展示Tableau:

https

/BDP:

h

/home.html/demo/highchartsD3.js:HighCharts:

httpEchart:

http:/

/OLAP分析上卷(roll-‐up)下鉆(drill-‐down)切片(slicing)OLAP引擎presto/impala/hivekylin可視化分析可視化分析可視化分析內容安排大數(shù)據(jù)可視化1數(shù)據(jù)可視化解決方案23

分布式日志分析系統(tǒng)：報表可視化模塊總結4數(shù)據(jù)源Hive倉庫Redis數(shù)據(jù)展示Python

+

Echarts數(shù)據(jù)分析presto分布式日志分析系統(tǒng)：報表可視化模塊分布式日志分析系統(tǒng)：報表可視化模塊FlumeAppSiteDeviceSqoopHDFSHiveDatabaseTableParPPonsETLloadcollectloadPrestoSQLMRMysql/Oracle用戶信息產品信息用戶行為數(shù)據(jù)批處理線Echarts數(shù)據(jù)源‐-Hive

Tables查詢各

段用戶消費總額selectcast(DATEDIFF(CURRENT_DATE,

birth)/365

as

int)

as

age,

sum(price)

astotalPrice

from

record

join

user_dimension

on

record.uid=user_dimension.uidgroup

by

cast(DATEDIFF(CURRENT_DATE,

birth)/365

as

int)

order

by

totalPricedesc;查詢各品牌銷售總額select

brand,sum(price)

as

totalPrice

from

record

join

brand_dimension

onrecord.bid=brand_dimension.bid

group

by

brand_dimension.brand

order

bytotalPricedesc;查詢

份消費總額selectprovince,sum(price)

as

totalPrice

from

record

join

user_dimension

onrecord.uid=user_dimension.uid

group

by

user_vince

order

bytotalPricedesc;數(shù)據(jù)查詢-‐Presto數(shù)據(jù)展示‐-WebServer數(shù)據(jù)展示‐-Echarts數(shù)據(jù)展示‐-各用戶消費分布數(shù)據(jù)展示-‐各品牌銷售分布數(shù)據(jù)展示‐份消費分布內容安排大數(shù)據(jù)可視化1數(shù)據(jù)可視化解決方案23

分布式日志分