Udemy - Data Engineering for Beginners Learn SQL, Python & Spark 2025-2

• 45. Recap of important Linux Commands for Data Engineering/13. Troubleshooting issues in Linux using grep command.mp4-157.66 MB
• 45. Recap of important Linux Commands for Data Engineering/5. Understanding PATH Environment Variable.mp4-132.78 MB
• 51. Submitting Python based Spark Applications/12. Submit Spark Applications with dependencies as jars.mp4-123.6 MB
• 47. Build Hive Applications in Hadoop and Spark Clusters/19. Schedule Hive Applications using Cron.mp4-113.26 MB
• 45. Recap of important Linux Commands for Data Engineering/2. Overview of SSH to connect to remote Servers.mp4-113.09 MB
• 44. Setup Hadoop and Spark Cluster using Dataproc/7. Setup Project using VS Code Remote Development.mp4-93.86 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/18. Recap of HDFS on Dataproc Cluster.mp4-86.32 MB
• 48. Getting Started with Spark SQL on Hadoop and Spark Cluster/6. Populate Data into Delta Lake Tables using Spark SQL.mp4-84.72 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/14. Overview of Blocks related to files in HDFS.mp4-83.75 MB
• 51. Submitting Python based Spark Applications/10. Deep Dive into Spark Deploy Modes.mp4-83.5 MB
• 49. Build Real Time Applications using Spark SQL with Shell Wrapper/7. Populate Data for Additional Years into Delta NYSE Table.mp4-83.11 MB
• 45. Recap of important Linux Commands for Data Engineering/10. Listing Files and Folders using ls command.mp4-80.13 MB
• 47. Build Hive Applications in Hadoop and Spark Clusters/6. Override Run time Hive Configuration Properties and Variables.mp4-77.36 MB
• 51. Submitting Python based Spark Applications/11. Submit Spark Applications with dependencies as packages.mp4-75.97 MB
• 45. Recap of important Linux Commands for Data Engineering/7. Copy Files and Folders in Linux using cp command.mp4-75.64 MB
• 10. Solutions for Basic SQL Queries/5. Solution for Exercise 2 to get Dormant Customers using Outer Join.mp4-75.54 MB
• 48. Getting Started with Spark SQL on Hadoop and Spark Cluster/8. Run Spark SQL Scripts using Spark SQL CLI.mp4-75.52 MB
• 16. Troubleshooting and Debugging Python Issues/14. Debug VS Code Notebooks using Debug Feature.mp4-73.75 MB
• 43. Performance Tuning using Columnar File Format and Partitioning Strategy/13. Review Execution Details for Performance Tuning using Partitioning.mp4-73.22 MB
• 53. Performance Tuning of Spark Applications on Hadoop and Spark/28. Demo on Spark Dynamic Allocation.mp4-72.7 MB
• 47. Build Hive Applications in Hadoop and Spark Clusters/2. Getting Started with Hive.mp4-71.72 MB
• 47. Build Hive Applications in Hadoop and Spark Clusters/5. Run Hive Commands using Scripts.mp4-69.79 MB
• 48. Getting Started with Spark SQL on Hadoop and Spark Cluster/7. Run Individual Spark SQL Commands.mp4-69.58 MB
• 45. Recap of important Linux Commands for Data Engineering/16. Overview of Hadoop and Spark Executables.mp4-69.58 MB
• 51. Submitting Python based Spark Applications/8. Review YARN Logs for Spark Applications in Cluster Mode.mp4-66.69 MB
• 13. Data Processing using Pandas Dataframe APIs/12. Write Pandas Dataframes to JSON Files.mp4-65.28 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/17. Overview of HDFS Namenode for HDFS File Metadata.mp4-64.61 MB
• 45. Recap of important Linux Commands for Data Engineering/12. Standard Directories in Linux.mp4-64.43 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/6. Programmatically Copy files into HDFS using Python.mp4-64.23 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/7. Overview of Multinode Hadoop Cluster.mp4-63.67 MB
• 10. Solutions for Basic SQL Queries/6. Solution for Exercise 3 to get Revenue Per Customer using Outer Join.mp4-62.29 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/15. Overview of Replication related to files in HDFS.mp4-61.98 MB
• 53. Performance Tuning of Spark Applications on Hadoop and Spark/13. Develop Word Count Application using Spark.mp4-61.83 MB
• 45. Recap of important Linux Commands for Data Engineering/14. Overview of Shell Scripts.mp4-61.78 MB
• 53. Performance Tuning of Spark Applications on Hadoop and Spark/17. Overriding Spark Executor Instances to tune the performance.mp4-61.7 MB
• 45. Recap of important Linux Commands for Data Engineering/9. Delete Files and Folders in Linux using rm command.mp4-61.64 MB
• 53. Performance Tuning of Spark Applications on Hadoop and Spark/27. Overview of Spark Dynamic Allocation.mp4-60.86 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/11. Setup Data Sets to understand HDFS Concepts.mp4-59.09 MB
• 24. Pre-Defined Functions in Spark SQL/18. Overview of Numeric Functions in Spark SQL.mp4-58.65 MB
• 50. Getting Started with Pyspark on Hadoop and Spark Cluster/2. Launching or Getting Started Pyspark CLI.mp4-58.6 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/13. Determining Number of Blocks for each file.mp4-58.38 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/10. Overview of local storage of files.mp4-57.62 MB
• 24. Pre-Defined Functions in Spark SQL/31. Solutions for Exercises 7 and 8 on Pre-defined Functions in Spark SQL.mp4-56.83 MB
• 24. Pre-Defined Functions in Spark SQL/30. Solutions for Exercises 5 and 6 on Pre-defined Functions in Spark SQL.mp4-56.74 MB
• 07. SQL Troubleshooting and Debugging Guide/14. Identify and Troubleshoot Bugs in SQL Queries.mp4-56.59 MB
• 44. Setup Hadoop and Spark Cluster using Dataproc/9. Getting Started with HDFS Commands to Manage Files.mp4-56.54 MB
• 53. Performance Tuning of Spark Applications on Hadoop and Spark/15. Overview of Jobs related to Spark Applications using Spark UI.mp4-56.48 MB
• 47. Build Hive Applications in Hadoop and Spark Clusters/18. Overview of Scheduling and Crontab.mp4-55.8 MB
• 10. Solutions for Basic SQL Queries/7. Solution for Exercise 4 to get Revenue Per Category.mp4-55.45 MB
• 46. Mastering Hadoop HDFS Commands and Concepts/16. Physical Storage of HDFS File Blocks.mp4-55.02 MB