Spark In Depth
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53 Hours 90 Days access to the course Start Course @ USD 108 (Pay the rest in 1 EMI)

Spark

53 Hours

90 Days

Certificate

Curriculum

1. Introduction to Spark-I 44 Mins
2.Introduction to Spark-II 57 Mins
3.Installing Spark 3.2.0 in Windows 21 Mins
4.WordCount Using REPL Windows 35 Mins
5.WordCount in Spark IntelliJ(Windows) 31 Mins
6.Installing Scala Spark in Ubuntu 17 Mins
7. WordCount in IntelliJ Ubuntu 12 Mins
8. Installing Scala Spark in Mac 12 Mins
9. Executing WordCount in REPL-Mac 42 Mins
8. Exploring RDD-Part I 59 Mins

9.Spark RDD-Part II 60 Mins
10.Coalesce and Repartition 61 Mins
11.Spark Transformation-Part I 49 Mins
12.Spark Transformation-Part II 47 Mins
13.Spark Action-Part I 45 Mins
14.Spark Action-Part II 28 Mins

15.Spark Action-Part III 53 Mins
16.Spark Action Part IV 39 Mins
17.Caching RDD 37 Mins
18.Paired RDD-I 36 Mins
19.Paired RDD-II 47 Mins
20.Paired RDD-III 67 Mins
21.Paired RDD-IV 36 Mins
22.Paired RDD-V 50 Mins
23.Types of Partitioner 38 Mins
24.Practice Exercise 1 3 Mins
25.Practice Exercise 2 8 Mins

26.Accumulators 37 Mins
27.Broadcast Variable 30 Mins
28.Inner Join 29 Mins
29.Spark Deployment Mode-Part I 62 Mins
30.Spark Deployment Mode-Part II 40 Mins
31.Loading and Saving of Data-Part I 57 Mins
32.Working with CSV,TSV,Sequence,Object File 48 Mins
33.Working with Amazon S3 and HBase 40 Mins
34.Spark Graphx 29 Mins
35.Real time Assignment on Graphx 25 Mins

36.Spark SQL Intro 57 Mins
37. Comparing code of Dataset,Data Frame,RDD 49 Mins
38.Exploring DataFrame 61 Mins
39.Programatically creating DataFrame 14 Mins
40. Spark SQL Builtin Functions-I 49 Mins
41. Spark SQL Builtin Functions-II 48 Mins
42. Spark SQL Builtin Functions-III 81 Mins

43.Joins in DataFrame and Spark UI 64 Mins
44.DataFrame in IntelliJ 14 Mins
45.Working with DataSets 41 Mins
46.Converting RDD,DF,DS 22 Mins
47.Comparing RDD,DS,DF 16 Mins
48.row_number,rank,dense_rank 30 Mins
49.Lag,Lead,Aggregate 33 Mins
50.Pivot and Unpivot 12 Mins
51.Partitioning in DataFrame 34 Mins
52.Spark Connecting to Hive 39 Mins
50.Realtime Project 68 Mins

53.BroadCast Hash Join 26 Mins
54.Shuffle Hash Join 13 Mins
55.Shuffle Sort Merge Join 14 Mins
56.Broadcast Nested Loop Join 12 Mins
57.Cross Join 8 Mins
58.Semi and Anti Join 8 Mins
59.Self Join 25 Mins
60.Cartesian Join 9 Mins
61.Hinting Join Strategies 24 Mins
62.How Spark Decides Join Strategies 21 Mins
63.Avoid Data Skewing with Salting Technique 51 Mins
64.Replacing Nulls 12 Mins
65.Writing UDF 24 Mins

66.Bucketing 22 Mins
67.Vectorization using ORC and Parquet 18 Mins
68.Understanding Tungsten 21 Mins
69.Catalyst Optimizer 26 Mins
70. Dynamic Resource Allocation 34 Mins
71.Adaptive Query Execution 23 Mins

72.Introduction to Spark Streaming 30 Mins
73. Writing First Streaming Job 22 Mins
74.Working with Multiple Streams 22 Mins
75.Aggregation using checkpointing 28 Mins
76.Realtime Coding Standard 14 Mins
77.Foreach in Streaming 12 Mins
78. Streaming and writing to a File 27 Mins
79.Transformation and Queue Streams 15 Mins
80.Sliding window Technique 51 Mins
81.Assignment on Spark Streaming 21 Mins
82.Spark Streaming with Kafka 34 Mins
83.Spark Structured Streaming 40 Mins
84. Streaming files using Structured Streaming 19 Mins
85.Various Configuration for File Streaming 17 Mins
86. Windowing in Structured Streaming 11 Mins
87.Watermarking- Late Data 18 Mins

88.Unit Testing RDD and DataFrames 40 Mins
89. 20 Different Spark Optimisation Recap 82 Mins
90. From Development to Production 47 Mins
91.Deciding resources for any Spark Job 40 Mins
92. Daily activity of a Data Engineer 6 Mins
93. My Last Project- Building Maps 59 Mins

1. Introduction to Spark-I 44 Mins

2.Introduction to Spark-II 57 Mins

3.Installing Spark 3.2.0 in Windows 21 Mins

4.WordCount Using REPL Windows 35 Mins

5.WordCount in Spark IntelliJ(Windows) 31 Mins

6.Installing Scala Spark in Ubuntu 17 Mins

7. WordCount in IntelliJ Ubuntu 12 Mins

8. Installing Scala Spark in Mac 12 Mins

9. Executing WordCount in REPL-Mac 42 Mins

8. Exploring RDD-Part I 59 Mins

Certificate

Certificate

Instructor

Suraj Ghimire

Suraj Ghimire

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.