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

By Pacman On Mar 25, 2022

Packt Spark Programming in Scala for Beginners with Apache Spark 3-XQZT | Apps-Tutorials | MKV | 5.02 GiB

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Another exquisit release
Packt.Spark.Programming.in.Scala.for.Beginners.with.Apache.Spark.3-XQZT
     Title: Spark Programming in Scala for Beginners with Apache Spark 3
 Publisher: Packt
  Category: Data
      Size: 5150M
     Files: 10F
      Date: 2022-03-25
  Course #: 9781803239538
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781803239538
    Author: Scholar Nest
  Duration: 6 hours 47 minutes
 Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Description:
A carefully designed and error-free tested course on Spark
programming in Scala for beginners using Apache Spark 3.
Reinforce your journey with hands-on and practical content

File List (Click to Show)

44M	01.01-big_data_history_and_primer.mkv
56M	01.02-understanding_the_data_lake_landscape.mkv
75M	01.03-what_is_apache_spark.mkv
20M	02.01-spark_development_environments.mkv
58M	02.02-apache_spark_in_local_mode_command_line_repl.mkv
30M	02.03-apache_spark_in_the_ide-intellij_idea.mkv
44M	02.04-apache_spark_in_cloud-databricks_community_and_notebooks.mkv
38M	02.05-apache_spark_in_hadoop_ecosystem-zeppelin_notebooks.mkv
45M	03.01-execution_methods-how_to_run_spark_programs.mkv
28M	03.02-spark_distributed_processing_model-how_your_program_runs.mkv
43M	03.03-spark_execution_modes_and_cluster_managers.mkv
29M	03.04-summarizing_spark_execution_models-when_to_use_what.mkv
50M	03.05-working_with_spark_shell-demo.mkv
51M	03.06-installing_multi-node_spark_cluster-demo.mkv
57M	03.07-working_with_notebooks_in_cluster-demo.mkv
32M	03.08-working_with_spark_submit-demo.mkv
14M	03.09-section_summary.mkv
43M	04.01-creating_spark_project_build_configuration.mkv
108M	04.02-configuring_spark_project_application_logs.mkv
45M	04.03-creating_spark_session.mkv
103M	04.04-configuring_spark_session.mkv
102M	04.05-data_frame_introduction.mkv
44M	04.06-data_frame_partitions_and_executors.mkv
110M	04.07-spark_transformations_and_actions.mkv
79M	04.08-spark_jobs_stages_and_tasks.mkv
88M	04.09-understanding_your_execution_plan.mkv
59M	04.10-unit_testing_spark_application.mkv
81M	04.11-debugging_spark_driver_and_executor.mkv
154M	04.12-spark_application_logs_in_a_cluster.mkv
54M	04.13-rounding_off_summary.mkv
37M	05.01-introduction_to_spark_apis.mkv
115M	05.02-introduction_to_spark_rdd_api.mkv
48M	05.03-dataset_versus_data_frame.mkv
51M	05.04-working_with_spark_dataset.mkv
25M	05.05-working_with_spark_sql.mkv
23M	05.06-spark_sql_engine_and_catalyst_optimizer.mkv
12M	05.07-section_summary.mkv
58M	06.01-introduction_to_spark_sources_and_sinks.mkv
43M	06.02-spark_dataframereader_api.mkv
96M	06.03-reading_csv_json_and_parquet_files.mkv
80M	06.04-creating_spark_dataframe_schema.mkv
58M	06.05-spark_dataframewriter_api.mkv
164M	06.06-writing_your_data_and_managing_layout.mkv
43M	06.07-spark_databases_and_tables.mkv
107M	06.08-working_with_spark_sql_tables.mkv
19M	07.01-introduction_to_data_transformation.mkv
50M	07.02-working_with_dataframe_rows.mkv
81M	07.03-dataframe_rows_and_unit_testing.mkv
82M	07.04-dataframe_rows_and_unstructured_data.mkv
143M	07.05-working_with_dataframe_columns.mkv
101M	07.06-creating_and_using_udf.mkv
154M	07.07-miscellaneous_transformations.mkv
104M	08.01-aggregating_dataframes.mkv
54M	08.02-grouping_aggregations.mkv
57M	08.03-windowing_aggregations.mkv
96M	09.01-dataframe_joins_and_column_name_ambiguity.mkv
85M	09.02-outer_joins_in_dataframe.mkv
97M	09.03-internals_of_spark_join_and_shuffle.mkv
103M	09.04-optimizing_your_joins.mkv
101M	09.05-implementing_bucket_joins.mkv
1.1G	9781803239538_Code.zip
5.1G	total

File: 01.01-big_data_history_and_primer.mkv
Size: 45883170 bytes (43.76 MiB), duration: 00:05:53, avg.bitrate: 1040 kb/s
Audio: aac, 48000 Hz, stereo (eng)
Video: h264, yuv420p, 1920x1080, 30.00 fps(r) (eng)