RAR-files |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.rar |
600,000,000 |
5CC2702D |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r00 |
600,000,000 |
22D7FBA0 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r01 |
600,000,000 |
DC5DB493 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r02 |
600,000,000 |
261CA14E |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r03 |
600,000,000 |
F11879BA |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r04 |
600,000,000 |
118A4BB4 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r05 |
600,000,000 |
DB92D334 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r06 |
600,000,000 |
1E49264B |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r07 |
600,000,000 |
752968A0 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r08 |
600,000,000 |
CAF33D71 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r09 |
600,000,000 |
D64D6EE6 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r10 |
600,000,000 |
087A45D2 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r11 |
600,000,000 |
81EC7527 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r12 |
600,000,000 |
CA71A388 |
packt.spark.programming.in.python.for.beginners.with.apache.spark.3-xqzt.r13 |
260,664,697 |
F92CBBC5 |
|
Total size: |
8,660,664,697 |
|
|
Archived
files |
01.01-big_data_history_and_primer.mkv
[94ef28fc47216ee]
|
81,188,577 |
04676193 |
01.02-understanding_the_data_lake_landscape.mkv
[6ad1f4fe4a3e2851]
|
90,188,454 |
5764BB4A |
01.03-what_is_apache_spark-an_introduction_and_overview.mkv
[fa4669693cf57acd]
|
104,908,021 |
8E666D6B |
02.01-spark_development_environments.mkv
[ff24badb1baf841a]
|
36,878,304 |
EFBCF5B3 |
02.02-mac_users-apache_spark_in_local_mode_command_line_repl.mkv
[e37589053d639df7]
|
405,826,671 |
B35A9B1A |
02.03-windows_users-apache_spark_in_local_mode_command_line_repl.mkv
[23ab764fee74591a]
|
229,333,958 |
F306C0FD |
02.04-mac_users-apache_spark_in_the_ide-pycharm.mkv
[1f3322e370df65af]
|
224,613,109 |
32A467A4 |
02.05-windows_users-apache_spark_in_the_ide-pycharm.mkv
[998e5799261ceeba]
|
272,210,410 |
B3C525DA |
02.06-apache_spark_in_cloud-databricks_community_and_notebooks.mkv
[7b665b1c6b453c99]
|
84,712,809 |
F77BB48D |
02.07-apache_spark_in_anaconda-jupyter_notebook.mkv
[baaf8f6172eed507]
|
125,105,693 |
0989DCFA |
03.01-execution_methods-how_to_run_spark_programs.mkv
[2d87b3d36089f58f]
|
59,255,406 |
6D9BA433 |
03.02-spark_distributed_processing_model-how_your_program_runs.mkv
[fb7511af30a3f4bf]
|
35,596,921 |
EF0E3CA7 |
03.03-spark_execution_modes_and_cluster_managers.mkv
[655774d13bfd8ca6]
|
71,036,614 |
D174A6AD |
03.04-summarizing_spark_execution_models-when_to_use_what.mkv
[4ed8e520b644faac]
|
27,017,874 |
71BF2D49 |
03.05-working_with_pyspark_shell-demo.mkv
[a5489754015964cb]
|
118,259,923 |
19BCDF09 |
03.06-installing_multi-node_spark_cluster-demo.mkv
[2b3c7b2c0037a62a]
|
102,309,920 |
6D2D3B2F |
03.07-working_with_notebooks_in_cluster-demo.mkv
[453b8a88d1d0a62b]
|
149,147,253 |
F657F75D |
03.08-working_with_spark_submit-demo.mkv
[e496cbe3585237b7]
|
72,556,185 |
58748F6F |
03.09-section_summary.mkv
[f62469e2b9dc05ca]
|
17,654,459 |
5C176F6E |
04.01-creating_spark_project_build_configuration.mkv
[c28497a832e83bdf]
|
150,066,061 |
9150FF11 |
04.02-configuring_spark_project_application_logs.mkv
[ceebf9adf8d8315f]
|
259,412,122 |
A1D5C963 |
04.03-creating_spark_session.mkv
[a83812d1a431f796]
|
154,147,715 |
F4EEAD98 |
04.04-configuring_spark_session.mkv
[499ca766503c4659]
|
157,244,607 |
FBB2BC2D |
04.05-data_frame_introduction.mkv
[c7c122b5c3ddbdf0]
|
174,399,940 |
387B2C2D |
04.06-data_frame_partitions_and_executors.mkv
[48920bc5022ad71d]
|
82,888,772 |
2D90998C |
04.07-spark_transformations_and_actions.mkv
[41b5f6f52ae55e99]
|
198,127,645 |
B4C0AE0A |
04.08-spark_jobs_stages_and_task.mkv
[d7d02a90d2ac418e]
|
162,663,000 |
0A20E7E6 |
04.09-understanding_your_execution_plan.mkv
[22c1aeb03a049b4d]
|
168,366,272 |
35CBA7C5 |
04.10-unit_testing_spark_application.mkv
[2a304e59c670b84a]
|
109,040,556 |
91F6ECC5 |
04.11-rounding_off_summary.mkv
[176329d9d6a5a814]
|
98,198,894 |
4BBAA10C |
05.01-introduction_to_spark_apis.mkv
[51cf2f0e628766fc]
|
41,641,604 |
DFEF6A3D |
05.02-introduction_to_spark_rdd_api.mkv
[9020833712ff446e]
|
231,021,988 |
238AF1A2 |
05.03-working_with_spark_sql.mkv
[23594b2ad196daae]
|
55,863,892 |
897A51B8 |
05.04-spark_sql_engine_and_catalyst_optimizer.mkv
[d691e1b5279d469c]
|
29,124,763 |
5FE830EE |
05.05-section_summary.mkv
[71866234eaa0f4ad]
|
12,020,742 |
25B812EB |
06.01-spark_data_sources_and_sinks.mkv
[36745d190a249bba]
|
96,711,294 |
0E7541AF |
06.02-spark_dataframereader_api.mkv
[7604b6e8a4e93290]
|
87,476,211 |
8B4858B0 |
06.03-reading_csv_json_and_parquet_files.mkv
[4c192d04053883e8]
|
264,847,368 |
21AB5676 |
06.04-creating_spark_dataframe_schema.mkv
[dfd246dbd46bf12]
|
233,252,415 |
642C0480 |
06.05-spark_dataframewriter_api.mkv
[291ee83561af4719]
|
84,248,757 |
EC7AE322 |
06.06-writing_your_data_and_managing_layout.mkv
[a711b2d2b2b47a50]
|
128,019,347 |
D45703F3 |
06.07-spark_databases_and_tables.mkv
[8227c3f7bff00369]
|
71,865,779 |
CAA86BD4 |
06.08-working_with_spark_sql_tables.mkv
[2016561c9f2d17ec]
|
278,179,223 |
98AC0A19 |
07.01-introduction_to_data_transformation.mkv
[869a5bef6cfedd]
|
28,628,549 |
9EAE3D3B |
07.02-working_with_dataframe_rows.mkv
[cbdc93dedaef2ba0]
|
127,370,210 |
7AB4C8AC |
07.03-dataframe_rows_and_unit_testing.mkv
[9b36202bdd2d4ca]
|
102,870,168 |
388CD6C6 |
07.04-dataframe_rows_and_unstructured_data.mkv
[c6b689f2f0c7ad27]
|
258,375,512 |
944DAB67 |
07.05-working_with_dataframe_columns.mkv
[cff5ed513a7295cb]
|
293,480,802 |
26218CBF |
07.06-creating_and_using_udf.mkv
[56e5b620f19f2f9]
|
222,255,209 |
CBCABD55 |
07.07-misc_transformations.mkv
[6d5dc0a32a1ed2fc]
|
273,033,352 |
3ED4289D |
08.01-aggregating_dataframes.mkv
[c1ea0c8da44d0d69]
|
250,445,851 |
99C05EAD |
08.02-grouping_aggregations.mkv
[8e5a2bb6e8a1ffb8]
|
101,153,442 |
884958ED |
08.03-windowing_aggregations.mkv
[bd0af83bf3484fdd]
|
119,409,354 |
18370E20 |
09.01-dataframe_joins_and_column_name_ambiguity.mkv
[419a995698bfc1d2]
|
179,998,076 |
2F0EFF47 |
09.02-outer_joins_in_dataframe.mkv
[d8c7a15adc98a78f]
|
201,283,652 |
EA1A480B |
09.03-internals_of_spark_join_and_shuffle.mkv
[bdef67538d8dbba4]
|
246,130,894 |
2CFD4017 |
09.04-optimizing_your_joins.mkv
[f6fd35298a7a534f]
|
161,450,611 |
FD14E050 |
09.05-implementing_bucket_joins.mkv
[6df6b2a4320e0182]
|
182,505,103 |
85F56683 |
10.01-final_word.mkv
[aaf5314073c0e2c3]
|
12,912,727 |
48C2D637 |
9781803246161_Code.zip |
262,725,212 |
38F931C0 |
|
Total size: |
8,660,658,252 |
|
|