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Spark In Depth
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53:06 Hours
90 days access to the course
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Spark indepth
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About The course
Spark Indepth
Enrollment
90 days of access
53:06 Hours
15000
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Learning path
Curriculum
Free videos
Spark Fundamental I
5:07 Hours
1. Introduction to Spark-I
57 min
2.Introduction to Spark-II
1:15 Hour
3.Installing Spark 3.2.0 in Windows
21 min
4.WordCount Using REPL Windows
35 min
5.WordCount in Spark IntelliJ(Windows)
31 min
6.Installing Scala Spark in Ubuntu
17 min
7. WordCount in IntelliJ Ubuntu
12 min
8. Exploring RDD-Part I
59 min
Spark Fundamentals II
4:50 Hours
9.Spark RDD-Part II
1:0 Hour
10.Coalesce and Repartition
1:01 Hour
11.Spark Transformation-Part I
49 min
12.Spark Transformation-Part II
47 min
13.Spark Action-Part I
45 min
14.Spark Action-Part II
28 min
Spark Module III
6:54 Hours
15.Spark Action-Part III
53 min
16.Spark Action Part IV
39 min
17.Caching RDD
37 min
18.Paired RDD-I
36 min
19.Paired RDD-II
47 min
20.Paired RDD-III
1:07 Hour
21.Paired RDD-IV
36 min
22.Paired RDD-V
50 min
23.Types of Partitioner
38 min
24.Practice Exercise 1
3 min
25.Practice Exercise 2
8 min
Spark Module IV
6:37 Hours
26.Accumulators
37 min
27.Broadcast Variable
30 min
28.Inner Join
29 min
29.Spark Deployment Mode-Part I
1:02 Hour
30.Spark Deployment Mode-Part II
40 min
31.Loading and Saving of Data-Part I
57 min
32.Working with CSV,TSV,Sequence,Object File
48 min
33.Working with Amazon S3 and HBase
40 min
34.Spark Graphx
29 min
35.Real time Assignment on Graphx
25 min
Spark Module V
5:59 Hours
36.Spark SQL Intro
57 min
37. Comparing code of Dataset,Data Frame,RDD
49 min
38.Exploring DataFrame
1:01 Hour
39.Programatically creating DataFrame
14 min
40. Spark SQL Builtin Functions-I
49 min
41. Spark SQL Builtin Functions-II
48 min
42. Spark SQL Builtin Functions-III
1:21 Hour
Spark Module VI
6:13 Hours
43.Joins in DataFrame and Spark UI
1:04 Hour
44.DataFrame in IntelliJ
14 min
45.Working with DataSets
41 min
46.Converting RDD,DF,DS
22 min
47.Comparing RDD,DS,DF
16 min
48.row_number,rank,dense_rank
30 min
49.Lag,Lead,Aggregate
33 min
50.Pivot and Unpivot
12 min
51.Partitioning in DataFrame
34 min
52.Spark Connecting to Hive
39 min
50.Realtime Project
1:08 Hour
Spark Module VII
4:07 Hours
53.BroadCast Hash Join
26 min
54.Shuffle Hash Join
13 min
55.Shuffle Sort Merge Join
14 min
56.Broadcast Nested Loop Join
12 min
57.Cross Join
8 min
58.Semi and Anti Join
8 min
59.Self Join
25 min
60.Cartesian Join
9 min
61.Hinting Join Strategies
24 min
62.How Spark Decides Join Strategies
21 min
63.Avoid Data Skewing with Salting Technique
51 min
64.Replacing Nulls
12 min
65.Writing UDF
24 min
Spark Module VIII
2:24 Hours
66.Bucketing
22 min
67.Vectorization using ORC and Parquet
18 min
68.Understanding Tungsten
21 min
69.Catalyst Optimizer
26 min
70. Dynamic Resource Allocation
34 min
71.Adaptive Query Execution
23 min
Spark Module IX
6:21 Hours
72.Introduction to Spark Streaming
30 min
73. Writing First Streaming Job
22 min
74.Working with Multiple Streams
22 min
75.Aggregation using checkpointing
28 min
76.Realtime Coding Standard
14 min
77.Foreach in Streaming
12 min
78. Streaming and writing to a File
27 min
79.Transformation and Queue Streams
15 min
80.Sliding window Technique
51 min
81.Assignment on Spark Streaming
21 min
82.Spark Streaming with Kafka
34 min
83.Spark Structured Streaming
40 min
84. Streaming files using Structured Streaming
19 min
85.Various Configuration for File Streaming
17 min
86. Windowing in Structured Streaming
11 min
87.Watermarking- Late Data
18 min
Spark Module X
4:34 Hours
88.Unit Testing RDD and DataFrames
40 min
89. 20 Different Spark Optimisation Recap
1:22 Hour
90. From Development to Production
47 min
91.Deciding resources for any Spark Job
40 min
92. Daily activity of a Data Engineer
6 min
93. My Last Project- Building Maps
59 min
1. Introduction to Spark-I
57 min
×
Watch: 1. Introduction to Spark-I
2.Introduction to Spark-II
1:15 Hour
×
Watch: 2.Introduction to Spark-II
3.Installing Spark 3.2.0 in Windows
21 min
×
Watch: 3.Installing Spark 3.2.0 in Windows
4.WordCount Using REPL Windows
35 min
×
Watch: 4.WordCount Using REPL Windows
5.WordCount in Spark IntelliJ(Windows)
31 min
×
Watch: 5.WordCount in Spark IntelliJ(Windows)
6.Installing Scala Spark in Ubuntu
17 min
×
Watch: 6.Installing Scala Spark in Ubuntu
7. WordCount in IntelliJ Ubuntu
12 min
×
Watch: 7. WordCount in IntelliJ Ubuntu
8. Exploring RDD-Part I
59 min
×
Watch: 8. Exploring RDD-Part I
9.Spark RDD-Part II
1:0 Hour
×
Watch: 9.Spark RDD-Part II
10.Coalesce and Repartition
1:01 Hour
×
Watch: 10.Coalesce and Repartition
Certificate
Instructor
Suraj Ghimire
Scala,Spark,Kafka,ElasticSearch,Bigdata
10 Years of IT experience
Working in BigData since last 7.5 Years
Training bigdata since 2014
Good Numbers of 5 star review on facebook
70% average hike from all students who are placed.
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