iNFekt and jane are able to display the NFOs inside SRRs.
  • U: Anonymous
  • D: 2022-03-25 20:43:43
  • C: Unknown

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ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
37,500
Stored files
695 BEBEE4BE
24,989 C9F3D4FC
850 717929B2
RAR-files
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.rar 550,000,000 8790314C
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r00 550,000,000 F47177CA
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r01 550,000,000 C469732F
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r02 550,000,000 2FA5841C
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r03 550,000,000 22D9D092
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r04 550,000,000 A28E266E
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r05 550,000,000 8A217844
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r06 550,000,000 AD745C2C
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r07 550,000,000 60CEF7DA
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt.r08 436,652,520 A8E88058

Total size: 5,386,652,520
Archived files
01.01-big_data_history_and_primer.mkv [4d3c590aa72ebaea] 45,883,170 B2A2C3BA
01.02-understanding_the_data_lake_landscape.mkv [a24710f7dc1d9b8a] 57,932,441 D817EFC2
01.03-what_is_apache_spark.mkv [1f44b9247175c27] 78,230,323 1212202D
02.01-spark_development_environments.mkv [d450e257dd4337e3] 20,071,085 D500F79A
02.02-apache_spark_in_local_mode_command_line_repl.mkv [477ad471fdd772ae] 60,223,292 F73BC3F4
02.03-apache_spark_in_the_ide-intellij_idea.mkv [421f2fcd28653c98] 30,604,621 FC74B5AC
02.04-apache_spark_in_cloud-databricks_community_and_notebooks.mkv [2622bf6f4409a4c1] 45,559,955 9DB43F62
02.05-apache_spark_in_hadoop_ecosystem-zeppelin_notebooks.mkv [23d778ff141cfee2] 39,087,666 72960D2D
03.01-execution_methods-how_to_run_spark_programs.mkv [eb26cc0cd57fdf49] 46,844,790 27379358
03.02-spark_distributed_processing_model-how_your_program_runs.mkv [62436f98a7e138d2] 28,756,106 15324BC4
03.03-spark_execution_modes_and_cluster_managers.mkv [bfb367cea20f13a4] 44,503,585 832638EE
03.04-summarizing_spark_execution_models-when_to_use_what.mkv [f5ab844e728faffc] 30,383,559 3B68A311
03.05-working_with_spark_shell-demo.mkv [41182fa05fe0cfa4] 51,953,994 FF53F930
03.06-installing_multi-node_spark_cluster-demo.mkv [39d055b033c46140] 53,417,173 1455E234
03.07-working_with_notebooks_in_cluster-demo.mkv [312be33439fbe7a4] 59,314,844 3725E186
03.08-working_with_spark_submit-demo.mkv [a17d0d6ec04cafd0] 33,135,269 FBF41F37
03.09-section_summary.mkv [cd33391ad4d18c2d] 14,185,665 A7AAF343
04.01-creating_spark_project_build_configuration.mkv [4aeacb3ed42be316] 45,012,438 9AF999A0
04.02-configuring_spark_project_application_logs.mkv [90f00b0ebe54549b] 112,250,924 C8CF8C8C
04.03-creating_spark_session.mkv [4c12b5a118eb5a2a] 46,841,477 5684BD64
04.04-configuring_spark_session.mkv [ab6987f55b3ff3f1] 107,839,061 4D312FD4
04.05-data_frame_introduction.mkv [ab34f6894456c63c] 106,585,473 48F5E72F
04.06-data_frame_partitions_and_executors.mkv [d24caf4531004a8a] 45,508,682 8DC0A40C
04.07-spark_transformations_and_actions.mkv [5035ee425e15c6fd] 114,388,179 9D533311
04.08-spark_jobs_stages_and_tasks.mkv [22eaffd72a42d95d] 82,721,449 2B6E69BA
04.09-understanding_your_execution_plan.mkv [cdd52fdf3c242309] 91,466,760 C287EA03
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04.11-debugging_spark_driver_and_executor.mkv [535f2dbe6e763588] 84,769,375 5C281EB6
04.12-spark_application_logs_in_a_cluster.mkv [32de111bd93c4c1e] 161,252,525 713E111B
04.13-rounding_off_summary.mkv [86b4478d16847033] 55,900,534 F3DA4996
05.01-introduction_to_spark_apis.mkv [7065c7b9e3975059] 38,052,517 B10AF155
05.02-introduction_to_spark_rdd_api.mkv [aa6bf9e929a66ec1] 119,589,175 7FA73B06
05.03-dataset_versus_data_frame.mkv [d8ad51c06b308aca] 49,586,444 DC7D2F9B
05.04-working_with_spark_dataset.mkv [51354ba15810a4cf] 53,314,001 4BD856C9
05.05-working_with_spark_sql.mkv [ed4de2828f621687] 26,131,278 D72B7DC9
05.06-spark_sql_engine_and_catalyst_optimizer.mkv [5433b63928850eba] 23,820,606 C6617FD6
05.07-section_summary.mkv [f7ba446b8d5bbfe0] 12,136,689 8BC93933
06.01-introduction_to_spark_sources_and_sinks.mkv [34b5114e983a10f1] 59,881,059 4E583580
06.02-spark_dataframereader_api.mkv [1c3073481d48c73a] 44,459,712 04A12EB5
06.03-reading_csv_json_and_parquet_files.mkv [50917d615861bffd] 100,481,752 FEEF4784
06.04-creating_spark_dataframe_schema.mkv [a71b21fcb23c61a9] 83,165,135 54316A96
06.05-spark_dataframewriter_api.mkv [e1b36f6f123ae243] 60,437,019 6816673A
06.06-writing_your_data_and_managing_layout.mkv [3d02d10a9530850f] 171,821,368 77A57A97
06.07-spark_databases_and_tables.mkv [81b8949b572287d5] 45,062,148 016CDEDB
06.08-working_with_spark_sql_tables.mkv [602b79f999eb1cbf] 111,819,410 03E86116
07.01-introduction_to_data_transformation.mkv [906c837dce144f32] 19,562,814 444BDFC8
07.02-working_with_dataframe_rows.mkv [c3191f77de453865] 51,845,489 5E5C4460
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07.04-dataframe_rows_and_unstructured_data.mkv [3752fd775d293d35] 85,568,466 F1517D98
07.05-working_with_dataframe_columns.mkv [5d54e705ee1f3c00] 149,045,602 B9F2C114
07.06-creating_and_using_udf.mkv [c1dd7c1c3948d9eb] 105,289,598 ABB81BFB
07.07-miscellaneous_transformations.mkv [662ed29664104f64] 161,143,685 88008C58
08.01-aggregating_dataframes.mkv [c98affd39408f4a5] 108,807,477 044BA071
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09.01-dataframe_joins_and_column_name_ambiguity.mkv [6a907da0cfb683ad] 100,572,706 782FBD15
09.02-outer_joins_in_dataframe.mkv [257b01f2e56d1ebd] 89,018,659 319D2456
09.03-internals_of_spark_join_and_shuffle.mkv [b2f9986dc2bb1716] 100,905,693 AB9BEB73
09.04-optimizing_your_joins.mkv [c0db57532119908e] 107,269,122 E26D9A31
09.05-implementing_bucket_joins.mkv [dbafc1e56797f904] 105,153,269 CBF973D3
9781803239538_Code.zip 1,147,505,183 8231A487

Total size: 5,386,646,696
Video files
Sample
packt.spark.programming.in.scala.for.beginners.with.apache.spark.3-xqzt-sample.mkv 12,564,792 2728A833
RAR Recovery
Not Present
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