Big Data Hadoop and Spark project for absolute beginners |
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Name |
DOWNLOAD Copy Link | |
Total Size |
3.9 GB |
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Total Files |
273 |
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Last Seen |
2024-12-20 23:26 |
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Hash |
E54E4CD369563B62CD3D61813146CD18318347D1 |
/8. Advanced Hive/ |
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/.../10. Spark Scala real world coding framework and best practices/ |
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16. Exception Handling with try, catch, Option, Some and None.mp4 |
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2.6 MB |
/.../14. Spark Scala - Structured Streaming/ |
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34.5 KB |
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32.2 MB |
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25.5 MB |
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19.7 MB |
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13.2 MB |
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9.8 MB |
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6.4 MB |
/.../13. Running Spark and Hive on a Cloudera QuickStart VM on GCP/ |
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27.2 KB |
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69.3 MB |
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48.1 MB |
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38.4 MB |
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27.8 MB |
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26.2 MB |
/.../3. Hadoop - Hands-On/ |
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1.5 KB |
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86.1 MB |
1. Creating a free Hadoop and Spark cluster using Google Dataproc.mp4 |
83.0 MB |
/.../4. Spark concepts and hands-on/ |
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82.3 MB |
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74.7 MB |
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72.8 MB |
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47.7 MB |
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37.2 MB |
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29.5 MB |
/9. Advanced Spark/ |
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16.4 KB |
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16.4 KB |
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3.8 KB |
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3.8 KB |
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753.9 KB |
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52.4 MB |
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31.2 MB |
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13.2 MB |
/.../12. Spark Scala Unit Testing using ScalaTest/ |
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16.0 KB |
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76.9 MB |
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65.4 MB |
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63.3 MB |
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24.5 MB |
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18.4 MB |
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13.6 MB |
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11.4 MB |
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11.3 MB |
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1.1 MB |
/.pad/ |
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853.5 KB |
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299.8 KB |
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349.0 KB |
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273.9 KB |
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349.3 KB |
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437.2 KB |
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996.9 KB |
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310.1 KB |
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386.8 KB |
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638.3 KB |
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647.5 KB |
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812.7 KB |
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431.2 KB |
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562.8 KB |
/.../5. Project - Bank prospects marketing data cleansing using Spark/ |
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113.9 MB |
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15.1 KB |
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1. Project - Bank prospects marketing data transformation using Hadoop and Spark.mp4 |
92.0 MB |
/.../6. Running the project in Scala/ |
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2.0 KB |
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2.5 KB |
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1.3 KB |
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57.5 MB |
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36.7 MB |
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23.6 MB |
/.../7. Bank prospects data transformation using AWS S3, Glue and Athena/ |
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1.4 KB |
6.1 Triggering AWS Glue job with a serverless Lambda function.zip |
0.5 KB |
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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 |
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50.8 MB |
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44.0 MB |
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25.7 MB |
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16.4 MB |
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14.2 MB |
/.../16. PySpark Logging and Error Handling/ |
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2.8 KB |
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2.7 KB |
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80.4 MB |
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55.6 MB |
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44.1 MB |
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44.0 MB |
/.../17. Creating a Data Pipeline with Hadoop PySpark and PostgreSQL/ |
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2.5 KB |
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1.5 KB |
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0.9 KB |
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0.6 KB |
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0.3 KB |
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933.6 KB |
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62.4 MB |
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45.4 MB |
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36.3 MB |
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24.4 MB |
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19.7 MB |
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19.6 MB |
/.../15. Creating a PySpark real world coding framework/ |
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1.7 KB |
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1.6 KB |
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1.2 KB |
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1.0 KB |
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0.7 KB |
1. PySpark Hadoop Hive development environment using PyCharm and Winutils.mp4 |
102.3 MB |
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56.1 MB |
6. Separating out Ingestion, Transformation and Persistence code.mp4 |
48.2 MB |
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46.7 MB |
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33.3 MB |
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7.9 MB |
/.../19. Unit testing PySpark application and spark-submit/ |
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0.8 KB |
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0.5 KB |
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33.5 MB |
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24.5 MB |
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13.7 MB |
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13.5 MB |
/.../11. A Data Pipeline with Spark Scala Hadoop PostgreSQL/ |
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0.6 KB |
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109.2 MB |
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406.4 KB |
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89.2 MB |
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367.5 KB |
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362.0 KB |
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1.0 MB |
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35.9 MB |
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32.7 MB |
/.../18. PySpark - Reading Configuration from properties file/ |
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940.0 KB |
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22.1 MB |
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20.4 MB |
/.../2. Big Data Hadoop concepts/ |
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43.2 MB |
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20.7 MB |
/1. Introduction/ |
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15.3 MB |
Total files 273 |
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