This course was created with the
course builder. Create your online course today.
Start now
Create your course
with
Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Apache Spark Course Online training Hyderabad
Section 1
Spark Session 1 Introduction (65:55)
Spark Lecture 2 spark vs other hadoop ecosystems comparisons (32:42)
Introduction to spark components part 1 (48:37)
Spark Lecture 4 Spark components part 2 (47:44)
Spark Lecture 5 Introduction to Spark Streaming (39:25)
Spark Lecture 6 different ways of RDD creations (32:25)
Spark Lecture 7 more on RDD flow excecution (54:22)
Lecture 9 Spark Core Architecture part 1 (70:47)
Spark Session 10 Spark core architecture part 2 (56:42)
Spark Session 2
Lecture 11 Scala programming 1 (71:43)
Lecture 12 Scala prgramming 2 (20:59)
Lecture 13 Scala programming 3 (58:07)
Lecture 14 Scala programming 4 (82:14)
Lecture 15 Scala programming 5 (90:23)
Lecture 16 Scala programming 6 (67:04)
Lecture 17 Scala Programming 7 (46:09)
Lecture 18 Scala programming 8 (69:43)
Lecture 19 What next in Scala (13:05)
Lecture 20 Scala programming 10 (62:55)
Spark Session 3
Lecture 21 Testing String equality (9:21)
Lecture 22 Creating Multiline Strings (16:34)
Lecture 23 Splitting Strings With Regular Expression (16:38)
Lecture 24 How to Substitute Strings into Variables (19:47)
Lecture 25 Processing String One Character at a Time (25:30)
Lecture 26 Finding Patterns in Strings Using Regular Expressions (30:29)
Lecture 27 Creating spark Rdds (35:10)
Lecture 28 Saving processed results into HDFS (23:13)
Lecture 29 Different transformations on RDDs and map() (52:06)
Lecture 30 More on map transformations (36:50)
Spark Session 4
Lecture 31 Importance of JSON data (35:51)
Lecture 32 JSON vs NOSQL databases (14:22)
Lecture 33 How to Flatten Single JSON record (35:37)
Lecture 34 How to Flatten Multiple json records (44:40)
Lecture 35 How to Flatten Nested Multiple json records (42:42)
Lecture 36 FlatMap Vs map transformations part 1 (32:19)
Lecture 37 FlatMap vs map transformations part 2 (28:27)
Lecture 38 reduce() , comparisions with aggregation functions (30:52)
Lecture 39 more use cases on reduce (27:06)
Lecture 40 Task find the poeple, who has max counted qualification. (13:35)
Spark Session 5
Lecture 41 Introduction to grouping aggregations on spark rdds # different transformations for grouping aggregations. (5:03)
Lecture 42 performing grouping sum and count aggregations on rdd (18:14)
Lecture 43 performing single grouping single aggregations by reading data from hdfs file (22:45)
Lecture 44 performing multi grouping with single aggregations. (40:46)
Lecture 45 performing multi grouping with multiple aggregations. (57:02)
Lecture 46 Union Transformations Part 1 (39:33)
Lecture 47 Union Tranformations Part 2 (17:12)
Lecture 48 Union Transformations Part 3 (20:24)
Lecture 49 Unions with Zip transformations (14:42)
Lecture 50 performing seperate aggregations for each file and generate report (9:54)
Spark Session 6
Lecture 51 Join transformations on rdds part 1 (36:52)
Lecture 52 Join transformations on RDD part 2 (20:54)
Lecture 53 Denormalizing Data sets Using Joins (44:37)
Lecture 54 Grouping aggregations and required transformations on Full Outer Join Content of RDDs (24:46)
Lecture 55 spark Sql introduction (78:28)
Lecture 56 Spark Sql Lab (69:21)
Lecture 57 Hive and Spark Sql Integration (53:35)
Lecture 58 Data frames and Data sets (53:54)
Lecture 59 Converting file into Data Frame and processing with sql function (49:24)
Lecture 60 Working With Multiple files using Spark sql (21:41)
Spark Session 7
Lecture 61 Programatically Assigning schema
Lecture 62 Loading and Saving from Parquet files (24:45)
Lecture 63 Spark Streaming Vs Kafka Introduction part 1 (70:54)
Lecture 64 Spark Streaming Vs Kafka Introduction part 2 (30:05)
Lecture 65 Spark Streaming Architecture (29:22)
Lecture 66 Spark Streaming Windowing and Sliding (29:22)
Lecture 67 Kafka Components part 1 (24:12)
Lecture 68 Kafka Components Part 2 (6:55)
Lecture 69 Kafka Components Part 3 (62:57)
Lecture 70 Kafka implementation and setup part 1 (37:37)
Spark Session 8
Lecture 71 Kafka implementation Part 2 (25:07)
Lecture 72 Spark Streaming and Kafka Integration Example (68:51)
Lecture 73 Spark MLLIB part 1 (35:38)
Lecture 74 Spark MLLIB Kmeans (97:53)
Lecture 75 Spark GraphX Session 1
Lecture 69 Kafka Components Part 3
Lesson content locked
If you're already enrolled,
you'll need to login
.
Enroll in Course to Unlock