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/05. Transform, Stage and Store - Spark/
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|
95. Solution - Develop as Scala based application.mp4
|
94.9 MB
|
|
59. Setup Spark on Windows.mp4
|
93.4 MB
|
|
93. Solution - Get Daily Revenue per Product - Sort and save to HDFS.mp4
|
92.9 MB
|
|
61. Initializing Spark job using spark-shell.mp4
|
70.9 MB
|
|
63. Previewing data from RDD.mp4
|
67.6 MB
|
|
77. Aggregations using aggregateByKey.mp4
|
63.8 MB
|
|
84. Set Operations - union, intersect, distinct as well as minus.mp4
|
62.2 MB
|
|
78. Sorting data using sortByKey.mp4
|
62.1 MB
|
|
69. Filtering the data.mp4
|
61.2 MB
|
|
75. Aggregations using groupByKey - least preferred API for aggregations.mp4
|
59.1 MB
|
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71. Joining data sets - outer join.mp4
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53.6 MB
|
|
90. Solution - Get Daily Revenue per Product - Read and join orders and order_items.mp4
|
50.8 MB
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|
67. Row level transformations using map.mp4
|
50.1 MB
|
|
97. Solution - Ship and run it on big data cluster.mp4
|
49.5 MB
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|
92. Solution - Get Daily Revenue per Product - Read products data and create RDD.mp4
|
46.2 MB
|
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73. Aggregations - using actions (reduce and countByKey).mp4
|
46.0 MB
|
|
85. Save data in Text Input Format.mp4
|
45.3 MB
|
|
91. Solution - Get Daily Revenue per Product - Compute daily revenue per product id.mp4
|
41.3 MB
|
|
82. Get topNPricedProducts using Scala Collections API.mp4
|
38.8 MB
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|
62. Create Resilient Distributed Data Sets (RDD).mp4
|
37.8 MB
|
|
96. Solution - Run locally using spark-submit.mp4
|
37.7 MB
|
|
79. Global Ranking - using sortByKey with take and takeOrdered.mp4
|
35.7 MB
|
|
66. Manipulating Strings as part of transformations using Scala.mp4
|
35.1 MB
|
|
81. Get topNPrices using Scala Collections API.mp4
|
33.4 MB
|
|
70. Joining data sets - inner join.mp4
|
31.2 MB
|
|
87. Saving data in standard file formats - Overview.mp4
|
30.8 MB
|
|
86. Save data in Text Input Format using Compression.mp4
|
30.2 MB
|
|
68. Row level transformations using flatMap.mp4
|
27.8 MB
|
|
64. Reading different file formats - Brief overview using JSON.mp4
|
27.5 MB
|
|
76. Aggregations using reduceByKey.mp4
|
27.0 MB
|
|
89. Solution - Get Daily Revenue per Product - Launching Spark Shell.mp4
|
26.4 MB
|
|
94. Solution - Add spark dependencies to sbt.mp4
|
21.0 MB
|
|
60. Quick overview about Spark documentation.mp4
|
20.6 MB
|
|
83. Get top n products by category using groupByKey, flatMap and Scala function.mp4
|
20.5 MB
|
|
80. By Key Ranking - Converting (K, V) pairs into (K, Iterable[V]) using groupByKey.mp4
|
20.5 MB
|
|
72. Aggregations - Getting Started.mp4
|
15.9 MB
|
|
74. Aggregations - understanding combiner.mp4
|
15.1 MB
|
|
65. Transformations Overview.mp4
|
10.9 MB
|
|
57. Introduction.mp4
|
9.6 MB
|
|
88. Revision of Problem Statement and Design the solution.mp4
|
9.2 MB
|
|
58. Introduction to Spark.mp4
|
4.2 MB
|
|
Resource.txt
|
9.0 KB
|
|
/08. Sample scenarios with solutions/
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|
153. Getting crime count per type per month - Implementing the logic - Data Frames.mp4
|
85.5 MB
|
|
156. Get inactive customers - using Data Frames and SQL.mp4
|
78.7 MB
|
|
160. Get word count - with custom control arguments, num keys and file format.mp4
|
74.1 MB
|
|
152. Getting crime count per type per month - Implementing the logic - Core API.mp4
|
71.4 MB
|
|
157. Get top 3 crimes in RESIDENCE - using Core Spark API.mp4
|
67.7 MB
|
|
155. Get inactive customers - using Core Spark API (leftOuterJoin).mp4
|
67.4 MB
|
|
158. Get top 3 crimes in RESIDENCE - using Data Frame and SQL.mp4
|
65.3 MB
|
|
159. Convert NYSE data from text file format to parquet file format.mp4
|
58.9 MB
|
|
151. Getting crime count per type per month - Understanding Data.mp4
|
45.4 MB
|
|
150. Initializing the job - General Guidelines.mp4
|
35.9 MB
|
|
154. Getting crime count per type per month - Validating Output.mp4
|
18.5 MB
|
|
149. Problem Statements - General Guidelines.mp4
|
13.2 MB
|
|
148. Introduction to Sample Scenarios and Solutions.mp4
|
9.3 MB
|
|
Resource.txt
|
1.1 KB
|
|
/04. Data Ingestion - Apache Sqoop/
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|
45. Sqoop Import - Delimiters and handling nulls.mp4
|
71.4 MB
|
|
56. Sqoop Export - Stage Tables.mp4
|
67.6 MB
|
|
49. Sqoop Import - Hive - Managing Hive tables.mp4
|
66.9 MB
|
|
39. Sqoop Import - Using split by.mp4
|
65.6 MB
|
|
46. Sqoop Import - Incremental Loads.mp4
|
63.5 MB
|
|
44. Sqoop Import - columns and query.mp4
|
56.4 MB
|
|
37. Sqoop Import - Execution Life Cycle.mp4
|
55.9 MB
|
|
55. Sqoop Export - Update and Upsert.mp4
|
52.2 MB
|
|
50. Sqoop Import - Import all tables.mp4
|
46.2 MB
|
|
34. Sqoop connect string and validating using list commands.mp4
|
46.0 MB
|
|
48. Sqoop Import - Hive - Simple Hive Import.mp4
|
45.1 MB
|
|
54. Sqoop Export - Column Mapping.mp4
|
44.2 MB
|
|
36. Sqoop Import - Simple Import.mp4
|
43.7 MB
|
|
52. Sqoop Export - Simple export with delimiters.mp4
|
42.2 MB
|
|
35. Run queries in MySQL using eval.mp4
|
39.8 MB
|
|
42. Sqoop Import - Using compression.mp4
|
36.5 MB
|
|
51. Role of Sqoop in typical data processing life cycle.mp4
|
36.1 MB
|
|
38. Sqoop Import - Managing Directories.mp4
|
34.4 MB
|
|
43. Sqoop Import - Using Boundary Query.mp4
|
33.1 MB
|
|
41. Sqoop Import - Different file formats.mp4
|
30.1 MB
|
|
33. Preview of MySQL on labs.mp4
|
23.3 MB
|
|
53. Sqoop Export - Understanding export behaviour.mp4
|
21.3 MB
|
|
32. Accessing Sqoop Documentation.mp4
|
20.6 MB
|
|
40. Sqoop Import - auto reset to one mapper.mp4
|
14.9 MB
|
|
47. Sqoop Import - Hive - Create Hive Database.mp4
|
7.2 MB
|
|
31. Introduction and Objectives.mp4
|
4.8 MB
|
|
Resource.txt
|
5.6 KB
|
|
/06. Data Analysis - Spark SQL or HiveQL/
|
|
99. Create Hive tables and load data in text file format.mp4
|
71.3 MB
|
|
103. Functions - Manipulating Strings.mp4
|
57.0 MB
|
|
108. Joins.mp4
|
53.7 MB
|
|
118. Data Frame Operations.mp4
|
47.5 MB
|
|
112. Analytics Functions - Aggregations.mp4
|
47.5 MB
|
|
115. Create Data Frame and Register as Temp table.mp4
|
46.7 MB
|
|
109. Aggregations.mp4
|
40.5 MB
|
|
104. Functions - Manipulating Dates.mp4
|
34.6 MB
|
|
106. Functions - CASE.mp4
|
33.6 MB
|
|
100. Create Hive tables and load data in ORC file format.mp4
|
32.0 MB
|
|
116. Writing Spark SQL Applications - process data.mp4
|
31.1 MB
|
|
114. Windowing Functions.mp4
|
26.8 MB
|
|
117. Writing Spark SQL Applications - Save data into Hive tables.mp4
|
25.6 MB
|
|
113. Analytics Functions - Ranking.mp4
|
25.2 MB
|
|
98. Different interfaces to run Hive queries.mp4
|
23.9 MB
|
|
110. Sorting.mp4
|
22.4 MB
|
|
107. Row level transformations.mp4
|
18.5 MB
|
|
105. Functions - Aggregations.mp4
|
15.6 MB
|
|
101. Using spark-shell to run Hive queries or commands.mp4
|
14.0 MB
|
|
111. Set Operations.mp4
|
13.8 MB
|
|
102. Functions - Getting Started.mp4
|
11.4 MB
|
|
Resource.txt
|
4.5 KB
|
|
/07. Data Ingest - real time, near real time and streaming analytics/
|
|
139. Flume and Spark Streaming - Department Wise Traffic - Setup Flume.mp4
|
64.6 MB
|
|
128. Kafka - Getting Started - Produce and consume messages using commands.mp4
|
64.1 MB
|
|
121. Flume - Web Server Logs to HDFS - Introduction.mp4
|
63.3 MB
|
|
120. Flume - Getting Started.mp4
|
56.6 MB
|
|
144. Flume and Kafka integration - Run and validate.mp4
|
52.7 MB
|
|
142. Flume and Spark Streaming - Department Wise Traffic - Run and Validate.mp4
|
51.1 MB
|
|
124. Flume - Web Server Logs to HDFS - Sink HDFS - Getting Started.mp4
|
46.9 MB
|
|
147. Kafka and Spark Streaming - Run and Validate.mp4
|
45.0 MB
|
|
143. Flume and Kafka integration - Develop configuration file.mp4
|
44.5 MB
|
|
125. Flume - Web Server Logs to HDFS - Sink HDFS - Customize properties.mp4
|
42.3 MB
|
|
138. Spark Streaming - Get department wise traffic - Run on the cluster.mp4
|
39.7 MB
|
|
131. Spark Streaming - Getting Started.mp4
|
38.2 MB
|
|
129. Kafka - Anatomy of a topic.mp4
|
35.1 MB
|
|
137. Spark Streaming - Get department wise traffic - Development.mp4
|
33.6 MB
|
|
134. Spark Streaming - Ship and run word count program on the cluster.mp4
|
33.4 MB
|
|
133. Spark Streaming - Develop Word Count program.mp4
|
32.3 MB
|
|
135. Spark Streaming - Data Structure (DStream) and APIs overview.mp4
|
28.7 MB
|
|
146. Kafka and Spark Streaming - Develop and build application.mp4
|
25.9 MB
|
|
136. Spark Streaming - Get department wise traffic - Problem Statement.mp4
|
24.5 MB
|
|
145. Kafka and Spark Streaming - Add dependencies.mp4
|
24.2 MB
|
|
140. Flume and Spark Streaming - Department Wise Traffic - Add sbt dependencies.mp4
|
22.2 MB
|
|
122. Flume - Web Server Logs to HDFS - Setup Data.mp4
|
21.3 MB
|
|
130. Flume and Kafka in Streaming analytics.mp4
|
20.5 MB
|
|
132. Spark Streaming - Setting up netcat.mp4
|
20.5 MB
|
|
123. Flume - Web Server Logs to HDFS - Source exec.mp4
|
20.1 MB
|
|
127. Kafka - Getting Started - High Level Architecture.mp4
|
18.8 MB
|
|
141. Flume and Spark Streaming - Department Wise Traffic - Develop and build.mp4
|
17.0 MB
|
|
126. Flume - Web Server Logs to HDFS - Deep dive to memory channel.mp4
|
12.3 MB
|
|
119. Introduction.mp4
|
9.9 MB
|
|
Resource.txt
|
7.5 KB
|
|
/03. Getting Started/
|
|
28. HDFS Quick Preview.mp4
|
63.5 MB
|
|
27. Using Windows - Cygwin.mp4
|
36.4 MB
|
|
25. Using itversity's big data labs.mp4
|
31.5 MB
|
|
26. Using Windows - Putty and WinSCP.mp4
|
27.9 MB
|
|
29. YARN Quick Preview.mp4
|
27.1 MB
|
|
24. Setup Environment - using Cloudera Quickstart VM.mp4
|
24.2 MB
|
|
30. Setup Data Sets.mp4
|
18.7 MB
|
|
21. Introduction and Curriculum.mp4
|
14.7 MB
|
|
23. Setup Environment - Locally.mp4
|
3.7 MB
|
|
22. Setup Environment - Options.mp4
|
3.2 MB
|
|
Resource.txt
|
2.2 KB
|
|
/02. Scala Fundamentals/
|
|
05. Basic Programming Constructs.mp4
|
44.3 MB
|
|
13. Basic I_O Operations and using Scala Collections APIs.mp4
|
40.3 MB
|
|
07. Object Oriented Concepts - Classes.mp4
|
39.8 MB
|
|
06. Functions.mp4
|
39.2 MB
|
|
19. Development Cycle - Setup IntelliJ with Scala.mp4
|
32.8 MB
|
|
11. Basic Map Reduce Operations.mp4
|
32.0 MB
|
|
03. Introduction and Setting up of Scala.mp4
|
30.9 MB
|
|
20. Development Cycle - Develop Scala application using SBT in IntelliJ.mp4
|
30.1 MB
|
|
09. Object Oriented Concepts - Case Classes.mp4
|
29.7 MB
|
|
08. Object Oriented Concepts - Objects.mp4
|
29.2 MB
|
|
04. Setup Scala on Windows.mp4
|
22.9 MB
|
|
16. Development Cycle - Compile source code to jar using SBT.mp4
|
22.4 MB
|
|
10. Collections - Seq, Set and Map.mp4
|
19.6 MB
|
|
15. Development Cycle - Developing Source code.mp4
|
17.2 MB
|
|
17. Development Cycle - Setup SBT on Windows.mp4
|
11.6 MB
|
|
18. Development Cycle - Compile changes and run jar with arguments.mp4
|
11.5 MB
|
|
12. Setting up Data Sets for Basic I_O Operations.mp4
|
11.5 MB
|
|
14. Tuples.mp4
|
9.5 MB
|
|
3.1 ScalaFundamentals.pptx
|
55.2 KB
|
|
Resource.txt
|
3.9 KB
|
|
/01. Introduction/
|
|
02. Using labs for preparation.mp4
|
21.4 MB
|
|
01. CCA 175 Spark and Hadoop Developer - Curriculum.mp4
|
20.3 MB
|
|
Resource.txt
|
0.5 KB
|
|
Total files 169
|
