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Spark In Depth

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Spark indepth

Spark In Depth

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

Spark Module III 6:54 Hours

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

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

9.Spark RDD-Part II 1:0 Hour

10.Coalesce and Repartition 1:01 Hour

Certificate

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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