Packt Spark Programming in Python for Beginners with Apache Spark 3-XQZT

Another exquisit release
Packt.Spark.Programming.in.Python.for.Beginners.with.Apache.Spark.3-XQZT
     Title: Spark Programming in Python for Beginners with Apache Spark 3
 Publisher: Packt
  Category: Data
      Size: 8288M
     Files: 15F
      Date: 2022-02-21
  Course #: 9781803246161
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781803246161
    Author: Scholar Nest
  Duration: 6 hours 35 minutes
 Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Description:
Build data engineering solutions with Spark programming in

78M	01.01-big_data_history_and_primer.mkv
87M	01.02-understanding_the_data_lake_landscape.mkv
101M	01.03-what_is_apache_spark-an_introduction_and_overview.mkv
36M	02.01-spark_development_environments.mkv
388M	02.02-mac_users-apache_spark_in_local_mode_command_line_repl.mkv
219M	02.03-windows_users-apache_spark_in_local_mode_command_line_repl.mkv
215M	02.04-mac_users-apache_spark_in_the_ide-pycharm.mkv
260M	02.05-windows_users-apache_spark_in_the_ide-pycharm.mkv
81M	02.06-apache_spark_in_cloud-databricks_community_and_notebooks.mkv
120M	02.07-apache_spark_in_anaconda-jupyter_notebook.mkv
57M	03.01-execution_methods-how_to_run_spark_programs.mkv
34M	03.02-spark_distributed_processing_model-how_your_program_runs.mkv
68M	03.03-spark_execution_modes_and_cluster_managers.mkv
26M	03.04-summarizing_spark_execution_models-when_to_use_what.mkv
113M	03.05-working_with_pyspark_shell-demo.mkv
98M	03.06-installing_multi-node_spark_cluster-demo.mkv
143M	03.07-working_with_notebooks_in_cluster-demo.mkv
70M	03.08-working_with_spark_submit-demo.mkv
17M	03.09-section_summary.mkv
144M	04.01-creating_spark_project_build_configuration.mkv
248M	04.02-configuring_spark_project_application_logs.mkv
148M	04.03-creating_spark_session.mkv
150M	04.04-configuring_spark_session.mkv
167M	04.05-data_frame_introduction.mkv
80M	04.06-data_frame_partitions_and_executors.mkv
189M	04.07-spark_transformations_and_actions.mkv
156M	04.08-spark_jobs_stages_and_task.mkv
161M	04.09-understanding_your_execution_plan.mkv
104M	04.10-unit_testing_spark_application.mkv
94M	04.11-rounding_off_summary.mkv
40M	05.01-introduction_to_spark_apis.mkv
221M	05.02-introduction_to_spark_rdd_api.mkv
54M	05.03-working_with_spark_sql.mkv
28M	05.04-spark_sql_engine_and_catalyst_optimizer.mkv
12M	05.05-section_summary.mkv
93M	06.01-spark_data_sources_and_sinks.mkv
84M	06.02-spark_dataframereader_api.mkv
253M	06.03-reading_csv_json_and_parquet_files.mkv
223M	06.04-creating_spark_dataframe_schema.mkv
81M	06.05-spark_dataframewriter_api.mkv
123M	06.06-writing_your_data_and_managing_layout.mkv
69M	06.07-spark_databases_and_tables.mkv
266M	06.08-working_with_spark_sql_tables.mkv
28M	07.01-introduction_to_data_transformation.mkv
122M	07.02-working_with_dataframe_rows.mkv
99M	07.03-dataframe_rows_and_unit_testing.mkv
247M	07.04-dataframe_rows_and_unstructured_data.mkv
280M	07.05-working_with_dataframe_columns.mkv
212M	07.06-creating_and_using_udf.mkv
261M	07.07-misc_transformations.mkv
239M	08.01-aggregating_dataframes.mkv
97M	08.02-grouping_aggregations.mkv
114M	08.03-windowing_aggregations.mkv
172M	09.01-dataframe_joins_and_column_name_ambiguity.mkv
192M	09.02-outer_joins_in_dataframe.mkv
235M	09.03-internals_of_spark_join_and_shuffle.mkv
154M	09.04-optimizing_your_joins.mkv
175M	09.05-implementing_bucket_joins.mkv
13M	10.01-final_word.mkv
251M	9781803246161_Code.zip
8.1G	total