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CCA 175 - Spark and Hadoop Developer Certification - Scala

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CCA 175 - Spark and Hadoop Developer Certification - Scala

文件列表
  1. 05. Transform, Stage and Store - Spark/95. Solution - Develop as Scala based application.mp490.52MB
  2. 05. Transform, Stage and Store - Spark/59. Setup Spark on Windows.mp489.08MB
  3. 05. Transform, Stage and Store - Spark/93. Solution - Get Daily Revenue per Product - Sort and save to HDFS.mp488.61MB
  4. 08. Sample scenarios with solutions/153. Getting crime count per type per month - Implementing the logic - Data Frames.mp481.55MB
  5. 08. Sample scenarios with solutions/156. Get inactive customers - using Data Frames and SQL.mp475.04MB
  6. 08. Sample scenarios with solutions/160. Get word count - with custom control arguments, num keys and file format.mp470.63MB
  7. 04. Data Ingestion - Apache Sqoop/45. Sqoop Import - Delimiters and handling nulls.mp468.09MB
  8. 08. Sample scenarios with solutions/152. Getting crime count per type per month - Implementing the logic - Core API.mp468.07MB
  9. 06. Data Analysis - Spark SQL or HiveQL/99. Create Hive tables and load data in text file format.mp467.97MB
  10. 05. Transform, Stage and Store - Spark/61. Initializing Spark job using spark-shell.mp467.65MB
  11. 08. Sample scenarios with solutions/157. Get top 3 crimes in RESIDENCE - using Core Spark API.mp464.53MB
  12. 04. Data Ingestion - Apache Sqoop/56. Sqoop Export - Stage Tables.mp464.45MB
  13. 05. Transform, Stage and Store - Spark/63. Previewing data from RDD.mp464.45MB
  14. 08. Sample scenarios with solutions/155. Get inactive customers - using Core Spark API (leftOuterJoin).mp464.28MB
  15. 04. Data Ingestion - Apache Sqoop/49. Sqoop Import - Hive - Managing Hive tables.mp463.81MB
  16. 04. Data Ingestion - Apache Sqoop/39. Sqoop Import - Using split by.mp462.56MB
  17. 08. Sample scenarios with solutions/158. Get top 3 crimes in RESIDENCE - using Data Frame and SQL.mp462.3MB
  18. 07. Data Ingest - real time, near real time and streaming analytics/139. Flume and Spark Streaming - Department Wise Traffic - Setup Flume.mp461.65MB
  19. 07. Data Ingest - real time, near real time and streaming analytics/128. Kafka - Getting Started - Produce and consume messages using commands.mp461.15MB
  20. 05. Transform, Stage and Store - Spark/77. Aggregations using aggregateByKey.mp460.81MB
  21. 04. Data Ingestion - Apache Sqoop/46. Sqoop Import - Incremental Loads.mp460.59MB
  22. 03. Getting Started/28. HDFS Quick Preview.mp460.58MB
  23. 07. Data Ingest - real time, near real time and streaming analytics/121. Flume - Web Server Logs to HDFS - Introduction.mp460.36MB
  24. 05. Transform, Stage and Store - Spark/84. Set Operations - union, intersect, distinct as well as minus.mp459.35MB
  25. 05. Transform, Stage and Store - Spark/78. Sorting data using sortByKey.mp459.24MB
  26. 05. Transform, Stage and Store - Spark/69. Filtering the data.mp458.38MB
  27. 05. Transform, Stage and Store - Spark/75. Aggregations using groupByKey - least preferred API for aggregations.mp456.34MB
  28. 08. Sample scenarios with solutions/159. Convert NYSE data from text file format to parquet file format.mp456.19MB
  29. 06. Data Analysis - Spark SQL or HiveQL/103. Functions - Manipulating Strings.mp454.33MB
  30. 07. Data Ingest - real time, near real time and streaming analytics/120. Flume - Getting Started.mp453.97MB
  31. 04. Data Ingestion - Apache Sqoop/44. Sqoop Import - columns and query.mp453.76MB
  32. 04. Data Ingestion - Apache Sqoop/37. Sqoop Import - Execution Life Cycle.mp453.34MB
  33. 06. Data Analysis - Spark SQL or HiveQL/108. Joins.mp451.25MB
  34. 05. Transform, Stage and Store - Spark/71. Joining data sets - outer join.mp451.11MB
  35. 07. Data Ingest - real time, near real time and streaming analytics/144. Flume and Kafka integration - Run and validate.mp450.27MB
  36. 04. Data Ingestion - Apache Sqoop/55. Sqoop Export - Update and Upsert.mp449.74MB
  37. 07. Data Ingest - real time, near real time and streaming analytics/142. Flume and Spark Streaming - Department Wise Traffic - Run and Validate.mp448.74MB
  38. 05. Transform, Stage and Store - Spark/90. Solution - Get Daily Revenue per Product - Read and join orders and order_items.mp448.44MB
  39. 05. Transform, Stage and Store - Spark/67. Row level transformations using map.mp447.75MB
  40. 05. Transform, Stage and Store - Spark/97. Solution - Ship and run it on big data cluster.mp447.18MB
  41. 06. Data Analysis - Spark SQL or HiveQL/118. Data Frame Operations.mp445.35MB
  42. 06. Data Analysis - Spark SQL or HiveQL/112. Analytics Functions - Aggregations.mp445.26MB
  43. 07. Data Ingest - real time, near real time and streaming analytics/124. Flume - Web Server Logs to HDFS - Sink HDFS - Getting Started.mp444.77MB
  44. 06. Data Analysis - Spark SQL or HiveQL/115. Create Data Frame and Register as Temp table.mp444.57MB
  45. 04. Data Ingestion - Apache Sqoop/50. Sqoop Import - Import all tables.mp444.07MB
  46. 05. Transform, Stage and Store - Spark/92. Solution - Get Daily Revenue per Product - Read products data and create RDD.mp444.03MB
  47. 04. Data Ingestion - Apache Sqoop/34. Sqoop connect string and validating using list commands.mp443.87MB
  48. 05. Transform, Stage and Store - Spark/73. Aggregations - using actions (reduce and countByKey).mp443.84MB
  49. 08. Sample scenarios with solutions/151. Getting crime count per type per month - Understanding Data.mp443.29MB
  50. 05. Transform, Stage and Store - Spark/85. Save data in Text Input Format.mp443.22MB
  51. 04. Data Ingestion - Apache Sqoop/48. Sqoop Import - Hive - Simple Hive Import.mp442.99MB
  52. 07. Data Ingest - real time, near real time and streaming analytics/147. Kafka and Spark Streaming - Run and Validate.mp442.95MB
  53. 07. Data Ingest - real time, near real time and streaming analytics/143. Flume and Kafka integration - Develop configuration file.mp442.48MB
  54. 02. Scala Fundamentals/05. Basic Programming Constructs.mp442.23MB
  55. 04. Data Ingestion - Apache Sqoop/54. Sqoop Export - Column Mapping.mp442.17MB
  56. 04. Data Ingestion - Apache Sqoop/36. Sqoop Import - Simple Import.mp441.7MB
  57. 07. Data Ingest - real time, near real time and streaming analytics/125. Flume - Web Server Logs to HDFS - Sink HDFS - Customize properties.mp440.35MB
  58. 04. Data Ingestion - Apache Sqoop/52. Sqoop Export - Simple export with delimiters.mp440.21MB
  59. 05. Transform, Stage and Store - Spark/91. Solution - Get Daily Revenue per Product - Compute daily revenue per product id.mp439.35MB
  60. 06. Data Analysis - Spark SQL or HiveQL/109. Aggregations.mp438.65MB
  61. 02. Scala Fundamentals/13. Basic I_O Operations and using Scala Collections APIs.mp438.45MB
  62. 02. Scala Fundamentals/07. Object Oriented Concepts - Classes.mp437.96MB
  63. 04. Data Ingestion - Apache Sqoop/35. Run queries in MySQL using eval.mp437.91MB
  64. 07. Data Ingest - real time, near real time and streaming analytics/138. Spark Streaming - Get department wise traffic - Run on the cluster.mp437.83MB
  65. 02. Scala Fundamentals/06. Functions.mp437.38MB
  66. 05. Transform, Stage and Store - Spark/82. Get topNPricedProducts using Scala Collections API.mp437.04MB
  67. 07. Data Ingest - real time, near real time and streaming analytics/131. Spark Streaming - Getting Started.mp436.44MB
  68. 05. Transform, Stage and Store - Spark/62. Create Resilient Distributed Data Sets (RDD).mp436.08MB
  69. 05. Transform, Stage and Store - Spark/96. Solution - Run locally using spark-submit.mp435.93MB
  70. 04. Data Ingestion - Apache Sqoop/42. Sqoop Import - Using compression.mp434.84MB
  71. 03. Getting Started/27. Using Windows - Cygwin.mp434.74MB
  72. 04. Data Ingestion - Apache Sqoop/51. Role of Sqoop in typical data processing life cycle.mp434.39MB
  73. 08. Sample scenarios with solutions/150. Initializing the job - General Guidelines.mp434.19MB
  74. 05. Transform, Stage and Store - Spark/79. Global Ranking - using sortByKey with take and takeOrdered.mp434.09MB
  75. 05. Transform, Stage and Store - Spark/66. Manipulating Strings as part of transformations using Scala.mp433.46MB
  76. 07. Data Ingest - real time, near real time and streaming analytics/129. Kafka - Anatomy of a topic.mp433.46MB
  77. 06. Data Analysis - Spark SQL or HiveQL/104. Functions - Manipulating Dates.mp433MB
  78. 04. Data Ingestion - Apache Sqoop/38. Sqoop Import - Managing Directories.mp432.81MB
  79. 06. Data Analysis - Spark SQL or HiveQL/106. Functions - CASE.mp432.08MB
  80. 07. Data Ingest - real time, near real time and streaming analytics/137. Spark Streaming - Get department wise traffic - Development.mp432.02MB
  81. 07. Data Ingest - real time, near real time and streaming analytics/134. Spark Streaming - Ship and run word count program on the cluster.mp431.9MB
  82. 05. Transform, Stage and Store - Spark/81. Get topNPrices using Scala Collections API.mp431.87MB
  83. 04. Data Ingestion - Apache Sqoop/43. Sqoop Import - Using Boundary Query.mp431.58MB
  84. 02. Scala Fundamentals/19. Development Cycle - Setup IntelliJ with Scala.mp431.33MB
  85. 07. Data Ingest - real time, near real time and streaming analytics/133. Spark Streaming - Develop Word Count program.mp430.77MB
  86. 06. Data Analysis - Spark SQL or HiveQL/100. Create Hive tables and load data in ORC file format.mp430.55MB
  87. 02. Scala Fundamentals/11. Basic Map Reduce Operations.mp430.47MB
  88. 03. Getting Started/25. Using itversity's big data labs.mp430.02MB
  89. 05. Transform, Stage and Store - Spark/70. Joining data sets - inner join.mp429.77MB
  90. 06. Data Analysis - Spark SQL or HiveQL/116. Writing Spark SQL Applications - process data.mp429.69MB
  91. 02. Scala Fundamentals/03. Introduction and Setting up of Scala.mp429.47MB
  92. 05. Transform, Stage and Store - Spark/87. Saving data in standard file formats - Overview.mp429.41MB
  93. 05. Transform, Stage and Store - Spark/86. Save data in Text Input Format using Compression.mp428.82MB
  94. 04. Data Ingestion - Apache Sqoop/41. Sqoop Import - Different file formats.mp428.75MB
  95. 02. Scala Fundamentals/20. Development Cycle - Develop Scala application using SBT in IntelliJ.mp428.72MB
  96. 02. Scala Fundamentals/09. Object Oriented Concepts - Case Classes.mp428.29MB
  97. 02. Scala Fundamentals/08. Object Oriented Concepts - Objects.mp427.87MB
  98. 07. Data Ingest - real time, near real time and streaming analytics/135. Spark Streaming - Data Structure (DStream) and APIs overview.mp427.4MB
  99. 03. Getting Started/26. Using Windows - Putty and WinSCP.mp426.63MB
  100. 05. Transform, Stage and Store - Spark/68. Row level transformations using flatMap.mp426.5MB
  101. 05. Transform, Stage and Store - Spark/64. Reading different file formats - Brief overview using JSON.mp426.23MB
  102. 03. Getting Started/29. YARN Quick Preview.mp425.84MB
  103. 05. Transform, Stage and Store - Spark/76. Aggregations using reduceByKey.mp425.74MB
  104. 06. Data Analysis - Spark SQL or HiveQL/114. Windowing Functions.mp425.55MB
  105. 05. Transform, Stage and Store - Spark/89. Solution - Get Daily Revenue per Product - Launching Spark Shell.mp425.22MB
  106. 07. Data Ingest - real time, near real time and streaming analytics/146. Kafka and Spark Streaming - Develop and build application.mp424.65MB
  107. 06. Data Analysis - Spark SQL or HiveQL/117. Writing Spark SQL Applications - Save data into Hive tables.mp424.37MB
  108. 06. Data Analysis - Spark SQL or HiveQL/113. Analytics Functions - Ranking.mp424.06MB
  109. 07. Data Ingest - real time, near real time and streaming analytics/136. Spark Streaming - Get department wise traffic - Problem Statement.mp423.35MB
  110. 07. Data Ingest - real time, near real time and streaming analytics/145. Kafka and Spark Streaming - Add dependencies.mp423.09MB
  111. 03. Getting Started/24. Setup Environment - using Cloudera Quickstart VM.mp423.07MB
  112. 06. Data Analysis - Spark SQL or HiveQL/98. Different interfaces to run Hive queries.mp422.83MB
  113. 04. Data Ingestion - Apache Sqoop/33. Preview of MySQL on labs.mp422.25MB
  114. 02. Scala Fundamentals/04. Setup Scala on Windows.mp421.86MB
  115. 06. Data Analysis - Spark SQL or HiveQL/110. Sorting.mp421.37MB
  116. 02. Scala Fundamentals/16. Development Cycle - Compile source code to jar using SBT.mp421.33MB
  117. 07. Data Ingest - real time, near real time and streaming analytics/140. Flume and Spark Streaming - Department Wise Traffic - Add sbt dependencies.mp421.15MB
  118. 01. Introduction/02. Using labs for preparation.mp420.44MB
  119. 04. Data Ingestion - Apache Sqoop/53. Sqoop Export - Understanding export behaviour.mp420.3MB
  120. 07. Data Ingest - real time, near real time and streaming analytics/122. Flume - Web Server Logs to HDFS - Setup Data.mp420.28MB
  121. 05. Transform, Stage and Store - Spark/94. Solution - Add spark dependencies to sbt.mp419.98MB
  122. 05. Transform, Stage and Store - Spark/60. Quick overview about Spark documentation.mp419.69MB
  123. 04. Data Ingestion - Apache Sqoop/32. Accessing Sqoop Documentation.mp419.63MB
  124. 07. Data Ingest - real time, near real time and streaming analytics/130. Flume and Kafka in Streaming analytics.mp419.6MB
  125. 05. Transform, Stage and Store - Spark/83. Get top n products by category using groupByKey, flatMap and Scala function.mp419.58MB
  126. 07. Data Ingest - real time, near real time and streaming analytics/132. Spark Streaming - Setting up netcat.mp419.57MB
  127. 05. Transform, Stage and Store - Spark/80. By Key Ranking - Converting (K, V) pairs into (K, Iterable[V]) using groupByKey.mp419.54MB
  128. 01. Introduction/01. CCA 175 Spark and Hadoop Developer - Curriculum.mp419.32MB
  129. 07. Data Ingest - real time, near real time and streaming analytics/123. Flume - Web Server Logs to HDFS - Source exec.mp419.17MB
  130. 02. Scala Fundamentals/10. Collections - Seq, Set and Map.mp418.7MB
  131. 07. Data Ingest - real time, near real time and streaming analytics/127. Kafka - Getting Started - High Level Architecture.mp417.97MB
  132. 03. Getting Started/30. Setup Data Sets.mp417.82MB
  133. 06. Data Analysis - Spark SQL or HiveQL/107. Row level transformations.mp417.67MB
  134. 08. Sample scenarios with solutions/154. Getting crime count per type per month - Validating Output.mp417.64MB
  135. 02. Scala Fundamentals/15. Development Cycle - Developing Source code.mp416.39MB
  136. 07. Data Ingest - real time, near real time and streaming analytics/141. Flume and Spark Streaming - Department Wise Traffic - Develop and build.mp416.2MB
  137. 05. Transform, Stage and Store - Spark/72. Aggregations - Getting Started.mp415.19MB
  138. 06. Data Analysis - Spark SQL or HiveQL/105. Functions - Aggregations.mp414.9MB
  139. 05. Transform, Stage and Store - Spark/74. Aggregations - understanding combiner.mp414.36MB
  140. 04. Data Ingestion - Apache Sqoop/40. Sqoop Import - auto reset to one mapper.mp414.21MB
  141. 03. Getting Started/21. Introduction and Curriculum.mp414.03MB
  142. 06. Data Analysis - Spark SQL or HiveQL/101. Using spark-shell to run Hive queries or commands.mp413.37MB
  143. 06. Data Analysis - Spark SQL or HiveQL/111. Set Operations.mp413.2MB
  144. 08. Sample scenarios with solutions/149. Problem Statements - General Guidelines.mp412.63MB
  145. 07. Data Ingest - real time, near real time and streaming analytics/126. Flume - Web Server Logs to HDFS - Deep dive to memory channel.mp411.77MB
  146. 02. Scala Fundamentals/17. Development Cycle - Setup SBT on Windows.mp411.08MB
  147. 02. Scala Fundamentals/18. Development Cycle - Compile changes and run jar with arguments.mp410.95MB
  148. 02. Scala Fundamentals/12. Setting up Data Sets for Basic I_O Operations.mp410.94MB
  149. 06. Data Analysis - Spark SQL or HiveQL/102. Functions - Getting Started.mp410.85MB
  150. 05. Transform, Stage and Store - Spark/65. Transformations Overview.mp410.38MB
  151. 07. Data Ingest - real time, near real time and streaming analytics/119. Introduction.mp49.46MB
  152. 05. Transform, Stage and Store - Spark/57. Introduction.mp49.16MB
  153. 02. Scala Fundamentals/14. Tuples.mp49.05MB
  154. 08. Sample scenarios with solutions/148. Introduction to Sample Scenarios and Solutions.mp48.85MB
  155. 05. Transform, Stage and Store - Spark/88. Revision of Problem Statement and Design the solution.mp48.75MB
  156. 04. Data Ingestion - Apache Sqoop/47. Sqoop Import - Hive - Create Hive Database.mp46.87MB
  157. 04. Data Ingestion - Apache Sqoop/31. Introduction and Objectives.mp44.61MB
  158. 05. Transform, Stage and Store - Spark/58. Introduction to Spark.mp43.98MB
  159. 03. Getting Started/23. Setup Environment - Locally.mp43.53MB
  160. 03. Getting Started/22. Setup Environment - Options.mp43.02MB
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