FileMood

Download A Big Data Hadoop and Spark project for absolute beginners

Big Data Hadoop and Spark project for absolute beginners

Name

A Big Data Hadoop and Spark project for absolute beginners

 DOWNLOAD Copy Link

Total Size

3.9 GB

Total Files

273

Last Seen

2024-12-20 23:26

Hash

E54E4CD369563B62CD3D61813146CD18318347D1

/8. Advanced Hive/

1. Fast queries with Hive Partitioning.mp4

122.3 MB

1.1 hive-partition.txt

2.3 KB

2.1 hive-bucketing.txt

1.2 KB

2. Fast queries with Hive Bucketing.mp4

22.0 MB

2.2 retailstore_large.zip

5.6 MB

1.2 retailstore_large.zip

5.6 MB

/

TutsNode.com.txt

0.1 KB

[TGx]Downloaded from torrentgalaxy.to .txt

0.6 KB

/.../10. Spark Scala real world coding framework and best practices/

14.1 FutureXSparkScalaProject_organize.zip

111.3 KB

8.2 winutils.zip

37.0 KB

12.1 FutureXSparkScalaProject_Postgres.zip

12.6 KB

6.1 ScalaBasics.zip

12.5 KB

9.1 FutureXSparkScalaProject.zip

12.0 KB

7.1 SparkHelloWorld.zip

9.9 KB

5.1 ScalaHelloWorld.zip

8.1 KB

10.1 Postgres-course-catalog.sql

1.2 KB

11.1 Postgres-course-catalog_psql.zip

0.6 KB

8.1 githuhb-link.txt

0.0 KB

15.1 log4j.zip

0.3 KB

14. Organizing code with Objects and Methods.mp4

95.6 MB

6. Scala basics using IntelliJ.mp4

79.2 MB

16. Exception Handling with try, catch, Option, Some and None.mp4

57.5 MB

9. Enabling Hive Support in Spark Session.mp4

48.6 MB

15. Implementing Log4j SLf4j Logging.mp4

45.4 MB

7. Hello World Spark Scala using IntelliJ.mp4

43.4 MB

5. Hello World Scala.mp4

36.8 MB

13. Importing a project into IntelliJ.mp4

35.9 MB

10. Installing PostgreSQL.mp4

34.4 MB

12. Fetching PostgresSQL data to a Spark DataFrame.mp4

33.4 MB

2. Installing JDK on a local Machine.mp4

13.3 MB

11. psql command line interface for PostgreSQL.mp4

11.6 MB

8. Configuring HADOOP HOME on Windows using Winutils.mp4

8.5 MB

3. Installing IntelliJ IDEA.mp4

5.5 MB

4. Adding Scala Plugin to IntelliJ.mp4

2.7 MB

1. Spark Scala real world coding introduction.mp4

2.6 MB

/.../14. Spark Scala - Structured Streaming/

6.1 FuturexMiscSparkScala_Filter.zip

34.5 KB

2.2 FuturexMiscSparkScala.zip

19.2 KB

4.2 FuturexMiscSparkScala (1).zip

19.2 KB

9.1 FuturexMiscSparkScala.zip

8.0 KB

5.1 StructuredStreamingWindowAggregation.zip

0.8 KB

8.1 StructuredStreamingWindowAggregation.zip

0.8 KB

7.1 StructuredStreamingDemoTimestamp.zip

0.7 KB

5.2 sale.zip

0.5 KB

2.1 files.zip

0.5 KB

4.1 files (1).zip

0.5 KB

6. Filtering Stream.mp4

47.0 MB

5. Streaming Aggregation.mp4

40.6 MB

8. Aggregation in a time window.mp4

39.5 MB

7. Adding timestamp to streaming data.mp4

32.2 MB

4. Writing streaming data to a Hive table.mp4

25.5 MB

2. Streaming data from files.mp4

19.7 MB

3. Batch Vs Streaming code.mp4

13.2 MB

9. Tumbling window and Sliding window.mp4

9.8 MB

1. Structured Streaming concepts.mp4

6.4 MB

/.../13. Running Spark and Hive on a Cloudera QuickStart VM on GCP/

4.2 FutureXSparkScalaProject-spark-submit.zip

27.2 KB

2.1 cloudera-gcp.txt

3.5 KB

3.1 spark2-cloudera.txt

1.5 KB

1.1 pom.zip

1.0 KB

4.1 spark-submit.txt

0.2 KB

2. Cloudera QuickStart VM Installation on GCP.mp4

69.3 MB

1. Exporting the project to an uber jar.mp4

48.1 MB

3. Running Spark 2 with Hive on Cloudera QuickStart VM.mp4

38.4 MB

5. Doing spark-submit locally.mp4

27.8 MB

4. Uber Jar spark-submit on Cloudera QuickStart VM.mp4

26.2 MB

/.../3. Hadoop - Hands-On/

2.1 retailstore.csv

0.3 KB

2.2 hive-hdfs-commands.txt

1.5 KB

2. Storing data in HDFS and querying with Hive.mp4

86.1 MB

1. Creating a free Hadoop and Spark cluster using Google Dataproc.mp4

83.0 MB

/.../4. Spark concepts and hands-on/

5.2 PySpark_DataFrame.zip

18.1 KB

2.2 spark_installation_on_colab.py

1.4 KB

4.1 pyspark_rdd.zip

16.1 KB

4.2 retailstore.csv

0.3 KB

2.1 Spark_Installation_on_Colab.zip

12.2 KB

6.1 spark-hadoop-commands.txt

1.8 KB

5.1 pyspark_dataframe.py

4.6 KB

3.2 python_basics.py

4.5 KB

3.1 python_basics.py

4.5 KB

4. PySpark RDD.mp4

82.3 MB

3. Python basics.mp4

74.7 MB

5. PySpark - Spark SQL and DataFrame.mp4

72.8 MB

6. Running PySpark on a Hadoop Cluster.mp4

47.7 MB

2. Installing Spark on Google Colab.mp4

37.2 MB

1. Spark concepts.mp4

29.5 MB

/9. Advanced Spark/

2.2 PySpark_udf_and_join.zip

16.4 KB

3.1 PySpark_udf_and_join.zip

16.4 KB

2.1 pyspark_udf_and_join.py

3.8 KB

3.2 pyspark_udf_and_join.py

3.8 KB

1.1 advanced_spark_datasets.zip

753.9 KB

3. Joins - Left, Right, Inner, Outer.mp4

52.4 MB

2. User Defined Function (UDF).mp4

31.2 MB

1. Advanced Spark datasets.mp4

13.2 MB

/.../12. Spark Scala Unit Testing using ScalaTest/

1.1 FutureXScalaUnitTesting.zip

16.0 KB

7.1 common.zip

1.7 KB

9.1 SparkTransformerSpec.zip

0.8 KB

6.1 SparkTransformerSpec.zip

0.8 KB

5.1 SparkTransformerSpec.zip

0.7 KB

8.1 failtests.txt

0.1 KB

2. Spark Transformation unit testing using ScalaTest.mp4

76.9 MB

1. Scala Unit Testing using JUnit & ScalaTest.mp4

65.4 MB

5. Throwing Custom Error and Intercepting Error Message.mp4

63.3 MB

2.1 FutureXSparkScalaProject_ScalaTest.zip

1.0 MB

4. Catching Exception using assertThrows.mp4

24.5 MB

3. Unit testing to catch an Exception.mp4

18.4 MB

6. Testing with assertResult.mp4

13.6 MB

7. Testing with Matchers.mp4

12.6 MB

9. Sharing fixtures.mp4

11.4 MB

8. Failing tests intentionally.mp4

11.3 MB

5.2 FutureXSparkScalaProject_assetThrowsIntercept.zip

1.1 MB

/.pad/

0

0.0 KB

1

195.0 KB

2

4.3 KB

3

73.0 KB

4

112.5 KB

5

254.5 KB

6

59.4 KB

7

241.3 KB

8

853.5 KB

9

534.7 KB

10

299.8 KB

11

880.5 KB

12

492.9 KB

13

722.8 KB

14

763.5 KB

15

587.4 KB

16

930.3 KB

17

654.9 KB

18

706.1 KB

19

484.6 KB

20

219.6 KB

21

173.7 KB

22

207.5 KB

23

476.6 KB

24

6.6 KB

25

34.2 KB

26

573.8 KB

27

697.9 KB

28

1.0 MB

29

101.2 KB

30

579.1 KB

31

170.7 KB

32

521.3 KB

33

694.4 KB

34

740.4 KB

35

1.0 MB

36

24.4 KB

37

69.5 KB

38

640.7 KB

39

810.7 KB

40

317.5 KB

41

374.1 KB

42

439.3 KB

43

578.4 KB

44

947.5 KB

45

1.0 MB

46

380.5 KB

47

757.0 KB

48

799.2 KB

49

228.0 KB

50

99.0 KB

51

170.9 KB

52

303.1 KB

53

868.2 KB

54

349.0 KB

55

208.6 KB

56

920.5 KB

57

528.7 KB

58

1.0 MB

59

562.2 KB

60

672.7 KB

61

642.3 KB

62

663.8 KB

63

731.7 KB

64

501.9 KB

65

971.6 KB

66

1.0 MB

67

273.9 KB

68

602.1 KB

69

231.2 KB

70

235.5 KB

71

349.3 KB

72

451.2 KB

73

426.9 KB

74

451.8 KB

75

437.2 KB

76

996.9 KB

77

51.3 KB

78

126.2 KB

79

310.1 KB

80

386.8 KB

81

389.7 KB

82

988.9 KB

83

1.0 MB

84

122.5 KB

85

227.3 KB

86

638.3 KB

87

962.9 KB

88

486.1 KB

89

986.1 KB

90

647.5 KB

91

657.7 KB

92

812.7 KB

93

431.2 KB

94

562.8 KB

/.../5. Project - Bank prospects marketing data cleansing using Spark/

2. Rapid Revision - Big Data, Hadoop and Spark concepts.mp4

113.9 MB

1.2 pyspark_bank_marketing_project.zip

15.1 KB

1.1 pyspark_bank_marketing_project.py

2.8 KB

1. Project - Bank prospects marketing data transformation using Hadoop and Spark.mp4

92.0 MB

/.../6. Running the project in Scala/

1.1 scala-basics.txt

2.0 KB

2.1 spark-scala-dataframe.txt

2.5 KB

3.1 spark-scala-bank-marketing-project.txt

1.3 KB

1. Scala basics.mp4

57.5 MB

2. Spark SQL DataFrame using Scala.mp4

36.7 MB

3. Bank prospects marketing project in Scala.mp4

23.6 MB

/.../7. Bank prospects data transformation using AWS S3, Glue and Athena/

2.1 Creating a Data Lake using S3, Glue, Athena.zip

1.4 KB

6.1 Triggering AWS Glue job with a serverless Lambda function.zip

0.5 KB

7.1 glue_pyspark_bank_marketing_project.zip

1.3 KB

7. Project - Bank prospects data transformation using S3, Glue & Athena services.mp4

79.9 MB

6. Triggering AWS Glue job with a serverless AWS Lambda function.mp4

60.6 MB

5. ETL transformation using AWS Glue.mp4

50.8 MB

4. AWS Glue crawler and AWS Athena query tool.mp4

44.0 MB

2. AWS data lake - S3, Glue and Athena introduction.mp4

25.7 MB

3. Create a data lake on AWS S3.mp4

16.4 MB

1. Introduction to AWS data lake use case.mp4

14.2 MB

/.../16. PySpark Logging and Error Handling/

3.1 DataPipeline_Logger2.zip

2.8 KB

2.1 DataPipeline_logging_1.zip

2.7 KB

2. Managing log level through a configuration file.mp4

80.4 MB

4. Error Handling with try except and raise.mp4

55.6 MB

1. Python Logging.mp4

44.1 MB

3. Having custom logger for each Python class.mp4

44.0 MB

/.../17. Creating a Data Pipeline with Hadoop PySpark and PostgreSQL/

4.1 DataPipeline_psycopg2.zip

2.5 KB

1.1 DataPipeline_v5.zip

1.5 KB

6.2 persist_transformed_df.zip

0.9 KB

3.1 Postgres-course-catalog.zip

0.6 KB

6.1 pg_course.zip

0.3 KB

5.1 DataPipeline_postgres_jdbc.zip

933.6 KB

4. PySpark PostgreSQL interaction with Psycopg2 adapter.mp4

62.4 MB

1. Ingesting data from Hive.mp4

45.4 MB

5. Spark PostgreSQL interaction with JDBC driver.mp4

36.3 MB

3. Installing PostgreSQL.mp4

24.4 MB

6. Persisting transformed data in PostgreSQL.mp4

19.7 MB

2. Transforming ingested data.mp4

19.6 MB

/.../15. Creating a PySpark real world coding framework/

6.1 DataPipeline_v4.zip

1.7 KB

5.1 DataPipeline_v3.zip

1.6 KB

4.1 DataPipeline_v2.zip

1.2 KB

2.1 DataPipeline_v1.zip

1.0 KB

1.1 hello_world_python_spark_hadoop.zip

0.7 KB

1. PySpark Hadoop Hive development environment using PyCharm and Winutils.mp4

102.3 MB

4. Creating and reusing SparkSession.mp4

56.1 MB

6. Separating out Ingestion, Transformation and Persistence code.mp4

48.2 MB

5. Spark DataFrame.mp4

46.7 MB

2. Structuring code with classes and methods.mp4

33.3 MB

3. How Spark works.mp4

7.9 MB

/.../19. Unit testing PySpark application and spark-submit/

3.1 test_transformer.zip

0.8 KB

1.1 test.zip

0.5 KB

2. Unit testing PySpark transformation logic.mp4

33.5 MB

1. Python unittest framework.mp4

24.5 MB

4. PySpark - spark submit.mp4

13.7 MB

3. Unit testing an error.mp4

13.5 MB

/.../11. A Data Pipeline with Spark Scala Hadoop PostgreSQL/

5. Intellij Maven troubleshooting tips.html

0.6 KB

1. Reading from Hive and Writing to Postgres.mp4

109.2 MB

3.1 FutureXSparkScalaProject_writeToHive.zip

406.4 KB

2. Reading Configuration from JSON using Typesafe.mp4

89.2 MB

2.1 FutureXSparkScalaProject_typesafe_config_parser.zip

367.5 KB

1.1 FutureXSparkScalaProject_readHivewritePG.zip

362.0 KB

4.1 FutureXSparkScalaProject.zip

1.0 MB

4. Managing input parameters using a Scala Case Class.mp4

35.9 MB

3. Writing data to a Hive Table.mp4

32.7 MB

/.../18. PySpark - Reading Configuration from properties file/

2.1 DataPipeline_read_config.zip

940.0 KB

1. Organizing code further.mp4

22.1 MB

2. Reading configuration from a property file.mp4

20.4 MB

/.../2. Big Data Hadoop concepts/

2. Hadoop concepts.mp4

43.2 MB

1. Big Data concepts.mp4

20.7 MB

/1. Introduction/

1. Introduction.mp4

15.3 MB

 

Total files 273


Copyright © 2024 FileMood.com