You can use shift-click to select all checkboxes in between.
  • U: Anonymous
  • D: 2022-04-01 22:36:05
  • C: Unknown
This file is unconfirmed

RELEASE >

ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
37,373
Stored files
619 02AFCE6E
27,374 963A6E41
585 DC42B31F
RAR-files
linkedin.learning.postgresql.advanced.queries-xqzt.rar 50,000,000 40B40791
linkedin.learning.postgresql.advanced.queries-xqzt.r00 50,000,000 1FF57CFA
linkedin.learning.postgresql.advanced.queries-xqzt.r01 50,000,000 17D3275C
linkedin.learning.postgresql.advanced.queries-xqzt.r02 50,000,000 F11C1899
linkedin.learning.postgresql.advanced.queries-xqzt.r03 50,000,000 AB5D3D2D
linkedin.learning.postgresql.advanced.queries-xqzt.r04 50,000,000 90421508
linkedin.learning.postgresql.advanced.queries-xqzt.r05 50,000,000 F747E288
linkedin.learning.postgresql.advanced.queries-xqzt.r06 50,000,000 115A7462
linkedin.learning.postgresql.advanced.queries-xqzt.r07 36,907,622 44D7EF59

Total size: 436,907,622
Archived files
01.01-gain_additional_insights_from_your_postgresql_data.mkv [13d896e061a5df1d] 5,238,325 09E939CD
01.02-what_you_should_know.mkv [96518c51a0a2eb6c] 1,673,016 9681D7E9
01.03-using_the_exercise_files.mkv [8a54a02d07ed76e9] 6,267,330 A6BF63F3
02.01-using_group_by_to_aggregate_data_rows.mkv [1067dda31621a304] 18,145,270 24B5B3A8
02.02-obtain_general-purpose_aggregate_statistics.mkv [c1a5633ab7c73495] 13,799,279 1272E1D5
02.03-evaluate_columns_with_boolean_aggregates.mkv [e536eecfa34e18bb] 11,253,695 FF5EA8DE
02.04-find_the_standard_deviation_and_variance_of_a_dataset.mkv [86fc026233005e13] 13,755,421 2196C225
02.05-include_overall_aggregates_with_rollup.mkv [d1a6d241367cbfa1] 11,569,209 4D8767FF
02.06-return_all_possible_combinations_of_groups_with_cube.mkv [28e15fb990402f16] 9,668,167 86B39E40
02.07-segmenting_groups_with_aggregate_filters.mkv [9df12fdf9d39317c] 13,159,135 7D8B44D1
02.08-challenge_group_statistics.mkv [754055cd58a72494] 2,712,809 9126EB83
02.09-solution_group_statistics.mkv [6c1acbddfa85bab5] 19,532,027 FC09F0D7
03.01-create_a_window_function_with_an_over_clause.mkv [95d07e6e816b9336] 9,436,500 25BA611C
03.02-partition_rows_within_a_window.mkv [b15d684fb390c165] 11,331,624 113A8B18
03.03-streamline_partition_queries_with_a_window_clause.mkv [90a2000a458b8e04] 7,101,176 F8B8AC81
03.04-ordering_data_within_a_partition.mkv [aefc52e4f6da628e] 13,501,298 88B72357
03.05-calculate_a_moving_average_with_a_sliding_window.mkv [b06b72a8c32479ca] 11,853,816 F2651FBA
03.06-return_values_at_specific_locations_within_a_window.mkv [9aa07598aa44341c] 20,660,141 A2E8C06A
03.07-challenge_leverage_window_functions.mkv [185b0a4c21811a19] 2,260,857 2021CF43
03.08-solution_leverage_window_functions.mkv [130ee6824abb8f03] 12,780,434 43226199
04.01-calculate_the_median_value_of_a_dataset.mkv [65d27390f2a59b46] 14,646,173 23249C38
04.02-calculate_the_first_and_third_quartiles_of_a_dataset.mkv [89aacfd3664c7e30] 15,777,811 C6FCA42B
04.03-find_the_most_frequent_value_within_a_dataset_with_mode.mkv [41f7d4af786af954] 7,095,586 B8A562DD
04.04-determine_the_range_of_values_within_a_dataset.mkv [e1005a0e1904ec73] 5,216,100 3F4C835A
04.05-challenge_retrieve_statistics_of_a_dataset_with_groups.mkv [e2b6b13980e8045b] 1,883,503 963580FA
04.06-solution_retrieve_statistics_of_a_dataset_with_groups.mkv [e19f0e00d4f29658] 15,299,429 C59FC185
05.01-rank_rows_with_a_window_function.mkv [f89a89097f492fdb] 15,634,064 C225FED6
05.02-find_a_hypothetical_rank.mkv [36733e6b889c5474] 10,420,741 593FD791
05.03-view_top_performers_with_percentile_ranks.mkv [960050be9bcc6084] 13,376,967 6D58BCAC
05.04-evaluate_probability_with_cumulative_distribution.mkv [a18f267418b4fc5c] 7,593,124 1ED1DE9E
05.05-challenge_evaluate_rankings_within_a_dataset.mkv [c26d4f01e77863c9] 1,445,661 B1466FE3
05.06-solution_evaluate_rankings_within_a_dataset.mkv [778ad4a73b293c89] 15,454,662 6492A2DF
06.01-define_values_with_case_statements.mkv [9d5e11e922460cfc] 15,128,747 7292B5FD
06.02-merge_columns_with_coalesce.mkv [84f381779316e82e] 9,175,920 BCE5099B
06.03-convert_values_to_null_with_nullif.mkv [ff6d1ec714ff3931] 7,723,545 67C7371A
07.01-output_row_numbers_with_query_results.mkv [ee97d31aa64582cf] 5,955,029 4FAE7C0A
07.02-cast_values_to_a_different_data_type.mkv [5fbdda245ff7eebb] 5,138,665 C9D3B867
07.03-move_rows_within_a_result_with_lead_and_lag.mkv [d8330e324261a661] 16,237,704 FADF54C6
07.04-use_an_in_function_with_a_subquery.mkv [5aa21e5ea09bcb9] 10,713,381 C087B1E0
07.05-define_where_criteria_with_a_series.mkv [83e7e250455e2cf6] 10,951,301 A4B2E199
07.06-challenge_calculations_across_rows.mkv [48bd888c707122e0] 1,384,181 3F0BFEE2
07.07-solution_calculations_across_rows.mkv [d121083778f16eec] 12,925,633 52E45C1F
08.01-next_steps.mkv [90b9ea05166d4848] 1,999,614 CD913495
Ex_Files_PostgreSQL_Advanced_Queries.zip 25,731 04C48AA2

Total size: 436,902,801
Video files
Sample
linkedin.learning.postgresql.advanced.queries-xqzt-sample.mkv 2,544,430 0E228843
RAR Recovery
Not Present
Labels UNKNOWN