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Getting Data
(analysis) to the User
Toni Verbeiren
@tverbeiren
Historical
Perspective
Edward Charles Pickering
1846 - 1919
Visualization
Distribution
Use-case:
l1000 / ComPass
http://medicablogs.diariomedico.com/laboratorio/2010/03/04/la-escritura-de-los-genes-i/
Effect of compounds on diseases?
Chemical similarity
Molecule structure
Size
Effect on genes
http://pixabay.com/nl/photos/drug/
http://www.lincscloud.org/l1000/
l1000 data
t statistics p values
ranks 1000 genes
compounds
ordered unordered
-10 4 1 5 -8 -2 0 9 -3 6 -7
Reference - Ranks
2 1 -3 0 10 8 -4 -7 5 9 -6
Query - Ranks
Cmax = 10^2 + 9^2 + … = 385
Similarity = -0.25
-10 4 1 5 -8 -2 0 9 -3 6 -7
-10 4 1 5 -8
Reference - Ranks
Query - Ordered Signature
Cmax = 10*5 + 9*4 + 8*3 + 7*2 + 6*1 = 130
Similarity = 0.11
0 3 0 0 4 2 0 0 -1 0 -5
Query - Ranks
-10 4 1 5 -8 -2 0 9 -3 6 -7
-10 4 1 5 -8
Reference - Ranks
Query - Unordered Signature
Cmax = 10 + 9 + 8 + 7 + 6 = 45
Similarity = -0.4
0 1 0 0 1 1 0 0 -1 0 -1
Query - Ranks
https://www.flickr.com/photos/mkuram/4872078284/
The Challenge
Part I: Data Scientist
Data Scientist
Data Scientist
cluster
Data Scientist E
xp
en
sive
cluster
Data Scientist E
xp
en
sive
Data Scientist E
xp
en
sive
Data Scientist E
xp
en
sive
? spark-­‐shell	
  
spark-­‐submit
Nx memory
Nx pre-processing?
Zeppelin
iPython
(Thunder)
Spark-notebook
iPython + PySpark + Matplotlib + Seaborn
iPython + PySpark + Matplotlib + Seaborn
cmpd1
cmpd2
cmpd3
cmpd4
cmpd5
iPython + PySpark + Matplotlib + Seaborn
Zeppelin
Zeppelin
Zeppelin
@thomasjmoerman
Zeppelin
iPython
(Thunder)
Spark-notebook
Very good (binary) support
Complete configuration
Dependency management
Very extensive examples
Code completion
Angular App
Shared Spark Context
%table display system
The Challenge
Part 2: Technical Users
https://hu.wikipedia.org/wiki/Thomas_Bayes
Nx memory
Nx pre-processing?
! Shared context ?!
The Challenge
Part 3: End Users https://commons.wikimedia.org/wiki/File:Child_and_Computer_08473.jpg
Apache Spark
REST Interface
demo@herkulano
Apache Spark
REST Interface Sourire*
*https://github.com/tmoerman/sourire
webcomponents
Polymer
D3
https://github.com/tverbeiren/minimal-­‐spark-­‐jobserver-­‐project
object	
  initialize	
  extends	
  SparkJob	
  with	
  NamedRddSupport	
  {
override	
  def	
  runJob(sc:	
  SparkContext,	
  config:	
  Config):	
  Any	
  =	
  {
val	
  location	
  =	
  Try(config.getString(“location”)).getOrElse(..)
this.namedRdds.update("t_values",	
  t_values.data)
curl	
  -­‐X	
  DELETE	
  $jobserver’:8090/contexts/compass'	
  
curl	
  -­‐-­‐data-­‐binary	
  @target/scala-­‐2.10/interface_2.10-­‐0.1-­‐SNAPSHOT.jar	
  	
  
	
  	
  	
  	
  	
  $jobserver:8090/jars/interface	
  
curl	
  -­‐d	
  ''	
  	
  
	
  	
  	
  	
  	
  $jobserver’:8090/contexts/compass?num-­‐cpu-­‐cores=4&memory-­‐per-­‐node=8g'	
  
curl	
  -­‐d	
  'location="s3n://jnj.exasci/L1000/"'	
  	
  
	
  	
  	
  	
  	
  $jobserver’:8090/jobs?context=compass&appName=interface&classPath=l1000.initialize'
>	
  curl	
  -­‐d	
  $'query=	
  HSPA1A	
  DNAJB1	
  BAG3	
  P4HA2	
  HSPA8	
  TMEM97	
  SPR	
  DDIT4	
  HMOX1	
  -­‐TSEN2	
  n	
  sorted=false'	
  	
  
	
  	
  	
  	
  	
  	
  	
  	
  $jobserver’:8090/jobs?context=compass&appName=interface&classPath=l1000.zhang&sync=true'	
  
	
  	
  "status":	
  "OK",	
  
	
  	
  "result":	
  [[0,	
  0.16061228299421318,	
  0],	
  [1,	
  -­‐0.510957625536681,	
  1],	
  [2,	
  0.9957252193391823,	
  2],	
  [3,	
  0.4809034907597536,	
  3],	
  [4,	
  
0.14026507373529962,	
  4],	
  [5,	
  0.033246219899197314,	
  5],	
  [6,	
  0.29708792234459586,	
  6],	
  [7,	
  -­‐0.1867649803994773,	
  7],	
  [8,	
  0.0872316595109203,	
  
8],	
  [9,	
  -­‐0.42350196005226803,	
  9],	
  [10,	
  0.04439051708045548,	
  10],	
  [11,	
  -­‐0.33427291394437186,	
  11],	
  [12,	
  0.11161097629270114,	
  12],	
  [13,	
  
-­‐0.5319955198805302,	
  13],	
  [14,	
  0.03923837969012507,	
  14],	
  [15,	
  -­‐0.11678178084748926,	
  15],	
  [16,	
  -­‐0.19945865223072615,	
  16],	
  [17,	
  
0.21080828822101924,	
  17],	
  [18,	
  -­‐0.22120589882396863,	
  18],	
  [19,	
  -­‐0.19462385663617696,	
  19],	
  [20,	
  0.18030614149710658,	
  20],	
  [21,	
  
-­‐0.24883330222139258,	
  21],	
  [22,	
  0.1544894530520814,	
  22],	
  [23,	
  0.21885383610229606,	
  23],	
  [24,	
  -­‐0.15159604256113496,	
  24],	
  [25,	
  
0.18749299981332834,	
  25],	
  [26,	
  -­‐0.2639163711032294,	
  26],	
  [27,	
  0.9610416277767407,	
  27],	
  [28,	
  0.1631883516893784,	
  28],	
  [29,	
  
-­‐0.13477692738473027,	
  29],	
  [30,	
  -­‐0.023576628710098937,	
  30],	
  [31,	
  0.0799141310434945,	
  31],	
  [32,	
  0.42159790927758073,	
  32],	
  [33,	
  
0.9930371476572709,	
  33],	
  [34,	
  -­‐0.13255553481426172,	
  34],	
  [35,	
  0.15366809781594176,	
  35],	
  [36,	
  -­‐0.3778794101176031,	
  36],	
  [37,	
  
-­‐0.402389397050588,	
  37],	
  [38,	
  -­‐0.4551241366436438,	
  38],	
  [39,	
  0.12350196005226806,	
  39],	
  [40,	
  0.05962292327795408,	
  40],	
  [41,	
  
0.4972372596602576,	
  41],	
  [42,	
  -­‐0.26344969199178647,	
  42],	
  [43,	
  -­‐0.41638977039387715,	
  43],	
  [44,	
  -­‐0.425499346649244,	
  44],	
  [45,	
  
-­‐0.4757700205338809,	
  45],	
  [46,	
  -­‐0.1707298861302968,	
  46],	
  [47,	
  -­‐0.4394250513347023,	
  47],
The Challenge
Part 4: Binding together
Apache Spark
REST Interface Sourire
Common Functionality (lib)
https://github.com/tverbeiren/incubator-­‐zeppelin
?
@herkulano
@thomasjmoerman
@tverbeiren

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Getting Data (Analysis) to the User