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| 01. CCA 175 Spark and Hadoop Developer - Curriculum.mp4 |
19.32Мб |
| 02. Using labs for preparation.mp4 |
20.44Мб |
| 03. Introduction and Setting up of Scala.mp4 |
29.47Мб |
| 04. Setup Scala on Windows.mp4 |
21.86Мб |
| 05. Basic Programming Constructs.mp4 |
42.23Мб |
| 06. Functions.mp4 |
37.38Мб |
| 07. Object Oriented Concepts - Classes.mp4 |
37.96Мб |
| 08. Object Oriented Concepts - Objects.mp4 |
27.87Мб |
| 09. Object Oriented Concepts - Case Classes.mp4 |
28.29Мб |
| 10. Collections - Seq, Set and Map.mp4 |
18.70Мб |
| 100. Create Hive tables and load data in ORC file format.mp4 |
30.55Мб |
| 101. Using spark-shell to run Hive queries or commands.mp4 |
13.37Мб |
| 102. Functions - Getting Started.mp4 |
10.85Мб |
| 103. Functions - Manipulating Strings.mp4 |
54.33Мб |
| 104. Functions - Manipulating Dates.mp4 |
33.00Мб |
| 105. Functions - Aggregations.mp4 |
14.90Мб |
| 106. Functions - CASE.mp4 |
32.08Мб |
| 107. Row level transformations.mp4 |
17.67Мб |
| 108. Joins.mp4 |
51.25Мб |
| 109. Aggregations.mp4 |
38.65Мб |
| 11. Basic Map Reduce Operations.mp4 |
30.47Мб |
| 110. Sorting.mp4 |
21.37Мб |
| 111. Set Operations.mp4 |
13.20Мб |
| 112. Analytics Functions - Aggregations.mp4 |
45.26Мб |
| 113. Analytics Functions - Ranking.mp4 |
24.06Мб |
| 114. Windowing Functions.mp4 |
25.55Мб |
| 115. Create Data Frame and Register as Temp table.mp4 |
44.57Мб |
| 116. Writing Spark SQL Applications - process data.mp4 |
29.69Мб |
| 117. Writing Spark SQL Applications - Save data into Hive tables.mp4 |
24.37Мб |
| 118. Data Frame Operations.mp4 |
45.35Мб |
| 119. Introduction.mp4 |
9.46Мб |
| 12. Setting up Data Sets for Basic I_O Operations.mp4 |
10.94Мб |
| 120. Flume - Getting Started.mp4 |
53.97Мб |
| 121. Flume - Web Server Logs to HDFS - Introduction.mp4 |
60.36Мб |
| 122. Flume - Web Server Logs to HDFS - Setup Data.mp4 |
20.28Мб |
| 123. Flume - Web Server Logs to HDFS - Source exec.mp4 |
19.17Мб |
| 124. Flume - Web Server Logs to HDFS - Sink HDFS - Getting Started.mp4 |
44.77Мб |
| 125. Flume - Web Server Logs to HDFS - Sink HDFS - Customize properties.mp4 |
40.35Мб |
| 126. Flume - Web Server Logs to HDFS - Deep dive to memory channel.mp4 |
11.77Мб |
| 127. Kafka - Getting Started - High Level Architecture.mp4 |
17.97Мб |
| 128. Kafka - Getting Started - Produce and consume messages using commands.mp4 |
61.15Мб |
| 129. Kafka - Anatomy of a topic.mp4 |
33.46Мб |
| 13. Basic I_O Operations and using Scala Collections APIs.mp4 |
38.45Мб |
| 130. Flume and Kafka in Streaming analytics.mp4 |
19.60Мб |
| 131. Spark Streaming - Getting Started.mp4 |
36.44Мб |
| 132. Spark Streaming - Setting up netcat.mp4 |
19.57Мб |
| 133. Spark Streaming - Develop Word Count program.mp4 |
30.77Мб |
| 134. Spark Streaming - Ship and run word count program on the cluster.mp4 |
31.90Мб |
| 135. Spark Streaming - Data Structure (DStream) and APIs overview.mp4 |
27.40Мб |
| 136. Spark Streaming - Get department wise traffic - Problem Statement.mp4 |
23.35Мб |
| 137. Spark Streaming - Get department wise traffic - Development.mp4 |
32.02Мб |
| 138. Spark Streaming - Get department wise traffic - Run on the cluster.mp4 |
37.83Мб |
| 139. Flume and Spark Streaming - Department Wise Traffic - Setup Flume.mp4 |
61.65Мб |
| 14. Tuples.mp4 |
9.05Мб |
| 140. Flume and Spark Streaming - Department Wise Traffic - Add sbt dependencies.mp4 |
21.15Мб |
| 141. Flume and Spark Streaming - Department Wise Traffic - Develop and build.mp4 |
16.20Мб |
| 142. Flume and Spark Streaming - Department Wise Traffic - Run and Validate.mp4 |
48.74Мб |
| 143. Flume and Kafka integration - Develop configuration file.mp4 |
42.48Мб |
| 144. Flume and Kafka integration - Run and validate.mp4 |
50.27Мб |
| 145. Kafka and Spark Streaming - Add dependencies.mp4 |
23.09Мб |
| 146. Kafka and Spark Streaming - Develop and build application.mp4 |
24.65Мб |
| 147. Kafka and Spark Streaming - Run and Validate.mp4 |
42.95Мб |
| 148. Introduction to Sample Scenarios and Solutions.mp4 |
8.85Мб |
| 149. Problem Statements - General Guidelines.mp4 |
12.63Мб |
| 15. Development Cycle - Developing Source code.mp4 |
16.39Мб |
| 150. Initializing the job - General Guidelines.mp4 |
34.19Мб |
| 151. Getting crime count per type per month - Understanding Data.mp4 |
43.29Мб |
| 152. Getting crime count per type per month - Implementing the logic - Core API.mp4 |
68.07Мб |
| 153. Getting crime count per type per month - Implementing the logic - Data Frames.mp4 |
81.55Мб |
| 154. Getting crime count per type per month - Validating Output.mp4 |
17.64Мб |
| 155. Get inactive customers - using Core Spark API (leftOuterJoin).mp4 |
64.28Мб |
| 156. Get inactive customers - using Data Frames and SQL.mp4 |
75.04Мб |
| 157. Get top 3 crimes in RESIDENCE - using Core Spark API.mp4 |
64.53Мб |
| 158. Get top 3 crimes in RESIDENCE - using Data Frame and SQL.mp4 |
62.30Мб |
| 159. Convert NYSE data from text file format to parquet file format.mp4 |
56.19Мб |
| 16. Development Cycle - Compile source code to jar using SBT.mp4 |
21.33Мб |
| 160. Get word count - with custom control arguments, num keys and file format.mp4 |
70.63Мб |
| 17. Development Cycle - Setup SBT on Windows.mp4 |
11.08Мб |
| 18. Development Cycle - Compile changes and run jar with arguments.mp4 |
10.95Мб |
| 19. Development Cycle - Setup IntelliJ with Scala.mp4 |
31.33Мб |
| 20. Development Cycle - Develop Scala application using SBT in IntelliJ.mp4 |
28.72Мб |
| 21. Introduction and Curriculum.mp4 |
14.03Мб |
| 22. Setup Environment - Options.mp4 |
3.02Мб |
| 23. Setup Environment - Locally.mp4 |
3.53Мб |
| 24. Setup Environment - using Cloudera Quickstart VM.mp4 |
23.07Мб |
| 25. Using itversity's big data labs.mp4 |
30.02Мб |
| 26. Using Windows - Putty and WinSCP.mp4 |
26.63Мб |
| 27. Using Windows - Cygwin.mp4 |
34.74Мб |
| 28. HDFS Quick Preview.mp4 |
60.58Мб |
| 29. YARN Quick Preview.mp4 |
25.84Мб |
| 3.1 ScalaFundamentals.pptx |
53.91Кб |
| 30. Setup Data Sets.mp4 |
17.82Мб |
| 31. Introduction and Objectives.mp4 |
4.61Мб |
| 32. Accessing Sqoop Documentation.mp4 |
19.63Мб |
| 33. Preview of MySQL on labs.mp4 |
22.25Мб |
| 34. Sqoop connect string and validating using list commands.mp4 |
43.87Мб |
| 35. Run queries in MySQL using eval.mp4 |
37.91Мб |
| 36. Sqoop Import - Simple Import.mp4 |
41.70Мб |
| 37. Sqoop Import - Execution Life Cycle.mp4 |
53.34Мб |
| 38. Sqoop Import - Managing Directories.mp4 |
32.81Мб |
| 39. Sqoop Import - Using split by.mp4 |
62.56Мб |
| 40. Sqoop Import - auto reset to one mapper.mp4 |
14.21Мб |
| 41. Sqoop Import - Different file formats.mp4 |
28.75Мб |
| 42. Sqoop Import - Using compression.mp4 |
34.84Мб |
| 43. Sqoop Import - Using Boundary Query.mp4 |
31.58Мб |
| 44. Sqoop Import - columns and query.mp4 |
53.76Мб |
| 45. Sqoop Import - Delimiters and handling nulls.mp4 |
68.09Мб |
| 46. Sqoop Import - Incremental Loads.mp4 |
60.59Мб |
| 47. Sqoop Import - Hive - Create Hive Database.mp4 |
6.87Мб |
| 48. Sqoop Import - Hive - Simple Hive Import.mp4 |
42.99Мб |
| 49. Sqoop Import - Hive - Managing Hive tables.mp4 |
63.81Мб |
| 50. Sqoop Import - Import all tables.mp4 |
44.07Мб |
| 51. Role of Sqoop in typical data processing life cycle.mp4 |
34.39Мб |
| 52. Sqoop Export - Simple export with delimiters.mp4 |
40.21Мб |
| 53. Sqoop Export - Understanding export behaviour.mp4 |
20.30Мб |
| 54. Sqoop Export - Column Mapping.mp4 |
42.17Мб |
| 55. Sqoop Export - Update and Upsert.mp4 |
49.74Мб |
| 56. Sqoop Export - Stage Tables.mp4 |
64.45Мб |
| 57. Introduction.mp4 |
9.16Мб |
| 58. Introduction to Spark.mp4 |
3.98Мб |
| 59. Setup Spark on Windows.mp4 |
89.08Мб |
| 60. Quick overview about Spark documentation.mp4 |
19.69Мб |
| 61. Initializing Spark job using spark-shell.mp4 |
67.65Мб |
| 62. Create Resilient Distributed Data Sets (RDD).mp4 |
36.08Мб |
| 63. Previewing data from RDD.mp4 |
64.45Мб |
| 64. Reading different file formats - Brief overview using JSON.mp4 |
26.23Мб |
| 65. Transformations Overview.mp4 |
10.38Мб |
| 66. Manipulating Strings as part of transformations using Scala.mp4 |
33.46Мб |
| 67. Row level transformations using map.mp4 |
47.75Мб |
| 68. Row level transformations using flatMap.mp4 |
26.50Мб |
| 69. Filtering the data.mp4 |
58.38Мб |
| 70. Joining data sets - inner join.mp4 |
29.77Мб |
| 71. Joining data sets - outer join.mp4 |
51.11Мб |
| 72. Aggregations - Getting Started.mp4 |
15.19Мб |
| 73. Aggregations - using actions (reduce and countByKey).mp4 |
43.84Мб |
| 74. Aggregations - understanding combiner.mp4 |
14.36Мб |
| 75. Aggregations using groupByKey - least preferred API for aggregations.mp4 |
56.34Мб |
| 76. Aggregations using reduceByKey.mp4 |
25.74Мб |
| 77. Aggregations using aggregateByKey.mp4 |
60.81Мб |
| 78. Sorting data using sortByKey.mp4 |
59.24Мб |
| 79. Global Ranking - using sortByKey with take and takeOrdered.mp4 |
34.09Мб |
| 80. By Key Ranking - Converting (K, V) pairs into (K, Iterable[V]) using groupByKey.mp4 |
19.54Мб |
| 81. Get topNPrices using Scala Collections API.mp4 |
31.87Мб |
| 82. Get topNPricedProducts using Scala Collections API.mp4 |
37.04Мб |
| 83. Get top n products by category using groupByKey, flatMap and Scala function.mp4 |
19.58Мб |
| 84. Set Operations - union, intersect, distinct as well as minus.mp4 |
59.35Мб |
| 85. Save data in Text Input Format.mp4 |
43.22Мб |
| 86. Save data in Text Input Format using Compression.mp4 |
28.82Мб |
| 87. Saving data in standard file formats - Overview.mp4 |
29.41Мб |
| 88. Revision of Problem Statement and Design the solution.mp4 |
8.75Мб |
| 89. Solution - Get Daily Revenue per Product - Launching Spark Shell.mp4 |
25.22Мб |
| 90. Solution - Get Daily Revenue per Product - Read and join orders and order_items.mp4 |
48.44Мб |
| 91. Solution - Get Daily Revenue per Product - Compute daily revenue per product id.mp4 |
39.35Мб |
| 92. Solution - Get Daily Revenue per Product - Read products data and create RDD.mp4 |
44.03Мб |
| 93. Solution - Get Daily Revenue per Product - Sort and save to HDFS.mp4 |
88.61Мб |
| 94. Solution - Add spark dependencies to sbt.mp4 |
19.98Мб |
| 95. Solution - Develop as Scala based application.mp4 |
90.52Мб |
| 96. Solution - Run locally using spark-submit.mp4 |
35.93Мб |
| 97. Solution - Ship and run it on big data cluster.mp4 |
47.18Мб |
| 98. Different interfaces to run Hive queries.mp4 |
22.83Мб |
| 99. Create Hive tables and load data in text file format.mp4 |
67.97Мб |
| Resource.txt |
8.82Кб |
| Resource.txt |
7.37Кб |
| Resource.txt |
5.48Кб |
| Resource.txt |
4.42Кб |
| Resource.txt |
3.77Кб |
| Resource.txt |
2.13Кб |
| Resource.txt |
1.12Кб |
| Resource.txt |
548б |