what_I _do.svg

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entity database--><path d="M844.7917,259.375 C844.7917,248.9583 894.7917,248.9583 894.7917,248.9583 C894.7917,248.9583 944.7917,248.9583 944.7917,259.375 L944.7917,296.1426 C944.7917,306.5592 894.7917,306.5592 894.7917,306.5592 C894.7917,306.5592 844.7917,306.5592 844.7917,296.1426 L844.7917,259.375 " fill="#808080" style="stroke:#304D6D;stroke-width:1.0416666666666667;"/><path d="M844.7917,259.375 C844.7917,269.7917 894.7917,269.7917 894.7917,269.7917 C894.7917,269.7917 944.7917,269.7917 944.7917,259.375 " fill="none" style="stroke:#304D6D;stroke-width:1.0416666666666667;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="68.75" x="860.4167" y="292.7032">database</text><!--MD5=[e4a8075cc378d5866b51e10e7e6d7549]
entity Azure--><path d="M806.8297,396.887 C809.9946,389.068 816.4547,385.7619 823.0699,393.2188 C825.772,383.9295 831.851,382.2517 838.6586,389.3019 C846.3848,381.7245 852.5442,384.8443 855.9741,393.8011 C862.3606,386.0866 869.6166,385.6178 874.6227,395.2824 C885.1977,401.7096 885.1785,408.0574 876.1408,415.9268 C886.6552,423.2885 885.9288,432.4583 874.509,438.2139 C868.6406,445.9471 861.8121,447.78 856.3601,437.7877 C852.2825,446.1301 844.3726,446.936 839.3853,438.7204 C834.2171,447.5593 828.4892,445.7801 822.7692,439.3196 C817.1816,445.3691 810.4064,444.2021 806.8696,436.881 C801.3695,436.4624 799.0644,432.6908 801.3871,427.634 C795.6555,427.3905 792.929,423.0983 795.5692,417.8676 C792.0143,411.9056 794.3304,406.563 801.531,406.0073 C798.8973,400.5196 801.3988,397.6894 806.8297,396.887 " fill="#FFFFFF" style="stroke:#808080;stroke-width:1.0416666666666667;"/><text fill="#333333" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="42.7083" x="817.1875" y="420.8282">Azure</text><!--MD5=[5635e94f4a25d37ff1c84eabab244f8a]
entity Qian Gao--><ellipse cx="769.7917" cy="249.4792" fill="url(#g2vebfvuhtgjy0)" rx="16.6667" ry="16.6667" style="stroke:#304D6D;stroke-width:1.5625;"/><path d="M769.7917,270.3125 C773.9583,270.3125 777.0833,270.3125 781.25,266.1458 C789.5833,266.1458 797.9167,274.4792 797.9167,282.8125 L797.9167,286.9792 C797.9167,291.1458 793.75,295.3125 789.5833,295.3125 L750,295.3125 C745.8333,295.3125 741.6667,291.1458 741.6667,286.9792 L741.6667,282.8125 C741.6667,274.4792 750,266.1458 758.3333,266.1458 C762.5,270.3125 765.625,270.3125 769.7917,270.3125 " fill="url(#g2vebfvuhtgjy0)" style="stroke:#304D6D;stroke-width:1.5625;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="66.6667" x="736.4583" y="315.6199">Qian Gao</text><ellipse cx="598.842" cy="277.7028" fill="#808080" rx="95.1962" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="107.2917" x="545.1962" y="280.6681">Data Analytics</text><ellipse cx="362.6888" cy="277.7028" fill="#A9A9A9" rx="94.4596" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="106.25" x="309.5638" y="280.6681">Data Scientist</text><ellipse cx="598.8574" cy="146.4528" fill="#A9A9A9" rx="86.3574" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="94.7917" x="551.4615" y="149.4181">Data Analyst</text><ellipse cx="609.5638" cy="415.7236" fill="#A9A9A9" rx="94.4596" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="106.25" x="556.4388" y="418.6889">Data Engineer</text><ellipse cx="843.6427" cy="39.1611" fill="url(#g2vebfvuhtgjy0)" rx="64.9968" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="64.5833" x="811.351" y="42.1264">Power BI</text><ellipse cx="681.4108" cy="39.1611" fill="url(#g2vebfvuhtgjy0)" rx="60.5774" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="58.3333" x="652.2441" y="42.1264">Tableau</text><ellipse cx="516.9015" cy="39.1611" fill="url(#g2vebfvuhtgjy0)" rx="67.9431" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="68.75" x="482.5265" y="42.1264">IBM SPSS</text><ellipse cx="332.5481" cy="39.1611" fill="url(#g2vebfvuhtgjy0)" rx="80.4648" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="86.4583" x="289.319" y="42.1264">IBM Cognos</text><ellipse cx="126.1581" cy="277.8358" fill="url(#g2vebfvuhtgjy0)" rx="105.8456" ry="23.6691" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="130.2083" x="61.0539" y="280.8011">Machine Learning</text><ellipse cx="362.6237" cy="146.4528" fill="url(#g2vebfvuhtgjy0)" rx="56.8946" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="53.125" x="336.0612" y="149.4181">Python</text><ellipse cx="113.336" cy="415.7236" fill="url(#g2vebfvuhtgjy0)" rx="96.6693" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="109.375" x="58.6485" y="418.6889">Deep Learning</text><ellipse cx="362.7603" cy="415.7812" fill="url(#g2vebfvuhtgjy0)" rx="115.8853" ry="25.6771" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="156.25" x="284.6353" y="418.7465">Artificial Intelligence</text><ellipse cx="382.303" cy="529.8981" fill="url(#g2vebfvuhtgjy0)" rx="100.5322" ry="22.6064" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="115.625" x="324.4905" y="532.8634">Data Collection</text><ellipse cx="609.311" cy="529.7861" fill="url(#g2vebfvuhtgjy0)" rx="90.0402" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="100" x="559.311" y="532.7514">Data Pipeline</text><ellipse cx="834.6008" cy="529.7861" fill="url(#g2vebfvuhtgjy0)" rx="98.1425" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="111.4583" x="778.8716" y="532.7514">Data Modelling</text><ellipse cx="957.141" cy="415.7236" fill="url(#g2vebfvuhtgjy0)" rx="39.9535" ry="22.4945" style="stroke:#304D6D;stroke-width:2.0833333333333335;"/><text fill="#FFFFFF" font-family="&quot;Verdana&quot;" font-size="14.5833" lengthAdjust="spacing" textLength="29.1667" x="942.5576" y="418.6889">SQL</text><!--MD5=[302f2ebc666f0f31a338b17bcabb24c3]
reverse link Data Analytics to Qian Gao--><path d="M699.85,277.6042 C710.3021,277.6042 720.7531,277.6042 731.2042,277.6042 " fill="none" id="Data Analytics-backto-Qian Gao" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="694.3844,277.6042,703.7594,281.7708,699.5927,277.6042,703.7594,273.4375,694.3844,277.6042" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[30b1abc27adc20ac6cc93908b42fc834]
link Qian Gao to database--><path d="M808.3656,277.6042 C818.6198,277.6042 828.8729,277.6042 839.1271,277.6042 " fill="none" id="Qian Gao-to-database" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="844.4896,277.6042,835.1146,273.4375,839.2813,277.6042,835.1146,281.7708,844.4896,277.6042" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[f3228eb4695d5a67b02e9a9a93521485]
reverse link Data Scientist to Data Analytics--><path d="M462.5948,277.6042 C476.2042,277.6042 489.8125,277.6042 503.4208,277.6042 " fill="none" id="Data Scientist-backto-Data Analytics" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="457.176,277.6042,466.551,281.7708,462.3844,277.6042,466.551,273.4375,457.176,277.6042" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[9d097ee9fe98ce3eeb9df9db5e211b7f]
reverse link Data Analyst to Data Analytics--><path d="M598.9583,174.2469 C598.9583,198.1521 598.9583,232.6792 598.9583,254.8719 " fill="none" id="Data Analyst-backto-Data Analytics" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="598.9583,169.0156,594.7917,178.3906,598.9583,174.224,603.125,178.3906,598.9583,169.0156" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[ef4d687071bd763e1396fbe1ab7a120e]
link Data Analytics to Data Engineer--><path d="M600.6094,300.1854 C602.4302,323.949 605.3625,362.2167 607.3281,387.8708 " fill="none" id="Data Analytics-to-Data Engineer" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="607.7323,393.1448,611.1717,383.4793,607.335,387.9516,602.8626,384.1149,607.7323,393.1448" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[efeabc86400529b2acacdfec1bfa4d94]
reverse link Power BI to Data Analyst--><path d="M799.6302,59.0667 C754.9146,78.2844 686.1844,107.824 641.8979,126.8573 " fill="none" id="Power BI-backto-Data Analyst" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="804.4198,57.0073,794.1613,56.8832,799.6351,59.0649,797.4535,64.5387,804.4198,57.0073" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[148d887c8c7b4a69b12e88772782ca36]
reverse link Tableau to Data Analyst--><path d="M661.5208,65.3281 C647.45,83.3177 628.7458,107.2302 615.4646,124.2094 " fill="none" id="Tableau-backto-Data Analyst" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="664.9917,60.8896,655.9343,65.7079,661.7833,64.9924,662.4987,70.8413,664.9917,60.8896" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[f47728458b3d68aeebbe8af1c259bcdc]
reverse link IBM SPSS to Data Analyst--><path d="M536.3958,65.3281 C550.4667,83.3177 569.1708,107.2302 582.4521,124.2094 " fill="none" id="IBM SPSS-backto-Data Analyst" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="532.925,60.8896,535.4179,70.8413,536.1334,64.9924,541.9824,65.7079,532.925,60.8896" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[9cf1daca2e45b97cc8fc0d41e8c7cd47]
reverse link IBM Cognos to Data Analyst--><path d="M381.8938,59.674 C431.0083,79.051 505.5854,108.474 553.2844,127.2927 " fill="none" id="IBM Cognos-backto-Data Analyst" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="376.926,57.7135,384.1169,65.0309,381.7707,59.6255,387.1761,57.2794,376.926,57.7135" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[e08a5a01b2e6e9afb890934c83530120]
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reverse link Python to Data Scientist--><path d="M362.5,174.2469 C362.5,198.1521 362.5,232.6792 362.5,254.8719 " fill="none" id="Python-backto-Data Scientist" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="362.5,169.0156,358.3333,178.3906,362.5,174.224,366.6667,178.3906,362.5,169.0156" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[47ace8636e701247008f9634aeab6573]
link Data Scientist to Deep Learning--><path d="M326.299,298.4125 C280.6656,323.3292 202.4208,366.0531 154.6021,392.1635 " fill="none" id="Data Scientist-to-Deep Learning" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="149.7865,394.7927,160.0115,393.9553,154.3574,392.296,156.0167,386.6419,149.7865,394.7927" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[aac9036102e551efac80fafe0cb949b7]
link Data Scientist to Artificial Intelligence--><path d="M362.5,300.1854 C362.5,322.9708 362.5,359.0906 362.5,384.6396 " fill="none" id="Data Scientist-to-Artificial Intelligence" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="362.5,389.9229,366.6667,380.5479,362.5,384.7146,358.3333,380.5479,362.5,389.9229" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[9b08f56f58e5f65c0956b2e4a01e2db4]
link Data Engineer to Data Collection--><path d="M569.8198,436.1719 C530.0125,455.8017 468.7146,486.0289 427.126,506.5369 " fill="none" id="Data Engineer-to-Data Collection" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="422.1552,508.9883,432.4063,508.5789,426.8264,506.6848,428.7206,501.105,422.1552,508.9883" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[43e398797e554547960763b58e55069d]
link Data Engineer to Data Pipeline--><path d="M609.375,438.2573 C609.375,456.3823 609.375,482.3594 609.375,501.8179 " fill="none" id="Data Engineer-to-Data Pipeline" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="609.375,507.1214,613.5417,497.7464,609.375,501.913,605.2083,497.7464,609.375,507.1214" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[7624547b6f48ff94b7bcac1d57f327ab]
link Data Engineer to Data Modelling--><path d="M648.5667,436.1719 C688.0094,455.8017 748.7448,486.0289 789.951,506.5369 " fill="none" id="Data Engineer-to-Data Modelling" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="794.8771,508.9883,788.3417,501.0801,790.2146,506.6671,784.6277,508.54,794.8771,508.9883" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[41a74fe99f3212ab0441ebbc60bfd2fd]
link database to SQL--><path d="M907.5906,306.4833 C918.6594,330.5594 934.5417,365.1021 945.3521,388.6146 " fill="none" id="database-to-SQL" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="947.5781,393.4573,947.4478,383.1989,945.4025,388.7251,939.8763,386.6799,947.5781,393.4573" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[65b9e1a3a61dd5f3041db566a00e4600]
link database to Azure--><path d="M883.2729,306.4833 C874.3083,328.1469 861.8365,358.2865 852.3396,381.2385 " fill="none" id="database-to-Azure" style="stroke:#446E9B;stroke-width:3.125;"/><polygon fill="#446E9B" points="850.2385,386.3167,857.6728,379.2467,852.2297,381.504,849.9725,376.0609,850.2385,386.3167" style="stroke:#446E9B;stroke-width:3.125;"/><!--MD5=[3612e32137e8461ea7350a0819e3d348]
@startuml
!theme spacelab
skinparam actorStyle awesome


database database
cloud Azure


:Qian Gao: -left-> (Data Analytics)
:Qian Gao: -right-> database



(Data Analytics) -left-> (Data Scientist)
(Data Analytics) -up-> (Data Analyst)
(Data Analytics) -down-> (Data Engineer)

(Data Analyst) -up-> (Power BI)
(Data Analyst) -up-> (Tableau)
(Data Analyst) -up-> (IBM SPSS)
(Data Analyst) -up-> (IBM Cognos)


(Data Scientist) -left-> (Machine Learning)
(Data Scientist) -up-> (Python)
(Data Scientist) - -> (Deep Learning)
(Data Scientist) - -> (Artificial Intelligence)

(Data Engineer) -down-> (Data Collection)
(Data Engineer) -down-> (Data Pipeline)
(Data Engineer) -down-> (Data Modelling)


database - -> (SQL)
database - -> Azure

database database #gray
usecase (Data Analytics) #gray
usecase (Data Analyst) #darkgray
usecase (Data Engineer) #darkgray
usecase (Data Scientist) #darkgray



skinparam cloud {
BackgroundColor White
BorderColor Gray
}
@enduml

@startuml



skinparam backgroundColor transparent
skinparam useBetaStyle false






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	}
	timeline {
		BackgroundColor #999999
		FontColor #ffffff
	}
	closed {
		BackgroundColor #945200
		FontColor #ffffff
	}
  }
</style>
skinparam defaultFontName       "Verdana"
skinparam defaultFontSize       12
skinparam dpi                   100
skinparam shadowing             false
skinparam roundcorner           8
skinparam ParticipantPadding    40
skinparam BoxPadding            40
skinparam Padding               5
skinparam ArrowColor            #333333
skinparam stereotype {
    CBackgroundColor #b8b8b8
    CBorderColor #6b6b6b
    ABackgroundColor #4cbc5c
    ABorderColor #32a243
    IBackgroundColor #dc4e4d
    IBorderColor #900100
    EBackgroundColor #e19e4d
    EBorderColor #945200
    NBackgroundColor #70b8f7
    NBorderColor #246baa
}
skinparam title {
	FontColor	                 #304d6d
	BorderColor	                 #6b6b6b
	FontSize	    	         20
	BorderRoundCorner            8
	BorderThickness 	         1
	BackgroundColor              #b8b8b8-#999999
}

skinparam legend {
	BackgroundColor #999999
	BorderColor #6b6b6b
	FontColor #eeeeee
}

skinparam swimlane {
	BorderColor #3399f3
	BorderThickness 2
	TitleBackgroundColor  #b8b8b8-#999999
	TitleFontColor #304d6d
}


skinparam activity {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	BarColor #3cb521
	StartColor #3399f3
	EndColor #3399f3
	DiamondBackgroundColor #b8b8b8-#6b6b6b
  	DiamondBorderColor #6b6b6b
  	DiamondFontColor #ffffff
}


skinparam participant {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	ParticipantBorderThickness 2
}


skinparam actor {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam arrow {
	Thickness 3
	Color #446e9b
	FontColor #ffffff
}


skinparam sequence {
	BorderColor #446e9b
	TitleFontColor #446e9b
	BackgroundColor transparent
	StartColor #446e9b
	EndColor #446e9b
	BoxBackgroundColor transparent
	BoxBorderColor #333333
	BoxFontColor #333333
	DelayFontColor #333333
	LifeLineBorderColor #999999
	LifeLineBorderThickness 2
	LifeLineBackgroundColor #6b6b6b-#6b6b6b
	GroupBorderColor #333333
	GroupFontColor #333333
	GroupHeaderFontColor #3399f3
	GroupBackgroundColor #6b6b6b-#6b6b6b
	GroupHeaderBackgroundColor transparent
	DividerBackgroundColor #707070-#242424
    DividerBorderColor #333333
    DividerBorderThickness 2
    DividerFontColor #eeeeee
	ReferenceBackgroundColor transparent
	ReferenceBorderColor #333333
	ReferenceFontColor #333333
	ReferenceHeaderFontColor #3399f3
	ReferenceHeaderBackgroundColor #6b6b6b-#6b6b6b
	StereotypeFontColor #ffffff
}


skinparam partition {
	BorderColor #446e9b
	FontColor #446e9b
	BackgroundColor transparent
}


skinparam collections {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam control {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam entity {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam boundary {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam agent {
	BackgroundColor #d47500
	BorderColor #e19e4d
	FontColor #333333
}


skinparam note {
	BorderThickness 1
	BackgroundColor #70b8f7-#246baa
	BorderColor #246baa
	FontColor #ffffff
}


skinparam artifact {
	BackgroundColor #333333
	BorderColor #242424
	FontColor #eeeeee
}


skinparam component {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam interface {
	BackgroundColor  #900100
	BorderColor  #cd0200
	FontColor #333333
}


skinparam storage {
	BackgroundColor #d47500
  	BorderColor #945200
	FontColor #ffffff
}


skinparam node {
	BackgroundColor  #999999
	BorderColor #eeeeee
	FontColor #eeeeee
}


skinparam cloud {
	BackgroundColor #F2FCFE-#eeeeee
	BorderColor #F2FCFE
	FontColor #333333
}


skinparam database {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam class {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	FontColor #ffffff
	HeaderBackgroundColor #7c9ab9-#446e9b
	StereotypeFontColor #eeeeee
	BorderThickness 1
	AttributeFontColor #eeeeee
	AttributeFontSize 11
}


skinparam object {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	StereotypeFontColor #333333
	BorderThickness 1
	AttributeFontColor #ffffff
	AttributeFontSize 11
}


skinparam usecase {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	BorderThickness 2
	StereotypeFontColor #446e9b
}


skinparam rectangle {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	BackgroundColor #b8b8b8-#6b6b6b
	BorderThickness 2
	StereotypeFontColor #446e9b
}


skinparam package {
	BackgroundColor #b8b8b8-#6b6b6b
  	BorderColor #446e9b
	FontColor #446e9b
	BorderThickness 2
}


skinparam folder {
	BackgroundColor #b8b8b8-#6b6b6b
  	BorderColor #d47500
	FontColor #d47500
	BorderThickness 2
}


skinparam frame {
	BackgroundColor #b8b8b8-#6b6b6b
  	BorderColor #3399f3
	FontColor #3399f3
	BorderThickness 2
}


skinparam state {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
	StartColor #3399f3
	EndColor #3399f3
	AttributeFontColor #ffffff
	AttributeFontSize 11
}


skinparam queue {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}


skinparam card {
	BackgroundColor #70b8f7-#246baa
	BorderColor #246baa
	FontColor #ffffff
}


skinparam file {
	BackgroundColor #6b6b6b-#6b6b6b
	BorderColor #eeeeee
	FontColor #eeeeee
}


skinparam stack {
		FontColor #ffffff
	BorderColor #304d6d
	BackgroundColor #7c9ab9-#304d6d
}
skinparam actorStyle awesome


database database
cloud Azure


:Qian Gao: -left-> (Data Analytics)
:Qian Gao: -right-> database



(Data Analytics) -left-> (Data Scientist)
(Data Analytics) -up-> (Data Analyst)
(Data Analytics) -down-> (Data Engineer)

(Data Analyst) -up-> (Power BI)
(Data Analyst) -up-> (Tableau)
(Data Analyst) -up-> (IBM SPSS)
(Data Analyst) -up-> (IBM Cognos)


(Data Scientist) -left-> (Machine Learning)
(Data Scientist) -up-> (Python)
(Data Scientist) - -> (Deep Learning)
(Data Scientist) - -> (Artificial Intelligence)

(Data Engineer) -down-> (Data Collection)
(Data Engineer) -down-> (Data Pipeline)
(Data Engineer) -down-> (Data Modelling)


database - -> (SQL)
database - -> Azure

database database #gray
usecase (Data Analytics) #gray
usecase (Data Analyst) #darkgray
usecase (Data Engineer) #darkgray
usecase (Data Scientist) #darkgray



skinparam cloud {
BackgroundColor White
BorderColor Gray
}
@enduml

PlantUML version 1.2021.16beta3(Unknown compile time)
(GPL source distribution)
Java Runtime: Java(TM) SE Runtime Environment
JVM: Java HotSpot(TM) 64-Bit Server VM
Default Encoding: UTF-8
Language: en
Country: US
--></g></svg>