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  • U: Anonymous
  • D: 2019-08-02 09:45:04
  • C: Unknown

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ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
20,001
Stored files
4,116 A4147D2F
812 0B93C0B6
RAR-files
pmbd-0g84-xqzt.rar 50,000,000 F6B11C2F
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pmbd-0g84-xqzt.r26 40,833,855 72D95BD7

Total size: 1,390,833,855
Archived files
2 - Sqoop Import\07 - Split-by and Boundary Queries.mp4 [58d887900c25c169] 34,686,318 91AD9705
2 - Sqoop Import\13 - Sqoop Import Practice2.mp4 [702fa88dc36caf91] 18,683,543 DFD08D1D
2 - Sqoop Import\06 - Conditional Imports.mp4 [3a06eb1d3f0dfda4] 18,812,347 C26EEE0C
2 - Sqoop Import\11 - Sqoop List Tables_Database.mp4 [376634035e6d2d3b] 11,041,829 ED889CE1
2 - Sqoop Import\03 - Managing Target Directories.mp4 [6fc0d4130e9af99] 10,889,402 DED633C6
2 - Sqoop Import\05 - Working with Different Compressions.mp4 [aba1d91fcd44ab05] 24,079,410 F39DDB66
2 - Sqoop Import\09 - Incremental Appends.mp4 [c495ca96aa045bad] 13,046,107 A4B425A9
2 - Sqoop Import\04 - Working with Different File Formats.mp4 [be9735e9fc79638a] 18,075,511 EE538A9D
2 - Sqoop Import\02 - Sqoop Introduction.mp4 [a3604dfc38dcb037] 31,101,488 C1DF932F
2 - Sqoop Import\12 - Sqoop Import Practice1.mp4 [3fdd36de93e6721f] 21,016,598 01AC3966
2 - Sqoop Import\10 - Sqoop Hive Import.mp4 [934f215c78f7870f] 14,867,335 613D6682
2 - Sqoop Import\08 - Field delimeters.mp4 [713485eda6c07214] 14,086,894 F82DFA09
2 - Sqoop Import\14 - Sqoop Import Practice3.mp4 [5b2c9ae26d1be3d2] 15,702,858 F7F3A7A7
9 - Spark Dataframes & Spark SQL\61 - Dataframe from Parquet Files.mp4 [50f5996e50f5147a] 7,666,274 DD00D90B
9 - Spark Dataframes & Spark SQL\60 - Dafaframe from Json Files.mp4 [6e029959fd32dfaf] 21,737,949 3E9F5815
9 - Spark Dataframes & Spark SQL\62 - Dataframe from CSV Files.mp4 [28e19e9bc99c3d7a] 33,355,619 58514709
9 - Spark Dataframes & Spark SQL\67 - Spark SQL.mp4 [20000cf28e6c140f] 6,695,412 74CF7C1D
9 - Spark Dataframes & Spark SQL\66 - DataFrame API Part2.mp4 [1d280781d8fdbc6e] 26,375,733 B110DA42
9 - Spark Dataframes & Spark SQL\63 - Dataframe from Avro_XML Files.mp4 [19af5c1d66851f6a] 20,393,815 09F92A56
9 - Spark Dataframes & Spark SQL\68 - Working with Hive Tables in Spark.mp4 [7ba2f16b4408625a] 6,226,943 19CEB0E8
9 - Spark Dataframes & Spark SQL\64 - Working with Different Compressions.mp4 [23aa78376c1902b2] 26,282,282 63DC3D86
9 - Spark Dataframes & Spark SQL\65 - DataFrame API Part1.mp4 [9d4f467e4db96545] 21,060,528 BBEE239E
9 - Spark Dataframes & Spark SQL\59 - Dataframe Intro.mp4 [1bc2952aa8599c12] 9,459,919 F36D9634
4 - Apache Flume\21 - Flume Interceptors.mp4 [1d5e4ed22facaf] 5,981,344 ACDAC60E
4 - Apache Flume\20 - Moving data from NetCat to HDFS.mp4 [abd63315ed23b34c] 17,402,616 581F02D8
4 - Apache Flume\19 - Moving data from Twitter to HDFS.mp4 [a48fccdd4cf9905c] 35,917,622 96A94858
4 - Apache Flume\18 - Exec Source and Logger Sink.mp4 [dacc7b82dd806e89] 15,518,984 4352EC8C
4 - Apache Flume\22 - Flume Interceptor Example.mp4 [495bc5c08cea3e40] 19,834,975 60DEEE67
4 - Apache Flume\24 - Flume Consolidation.mp4 [c043c8b87b5b8f9b] 24,642,102 E22AC830
4 - Apache Flume\17 - Flume Introduction & Architecture.mp4 [65efa7aca643e317] 10,419,896 A4AB5A76
4 - Apache Flume\23 - Flume Multi-Agent Flow.mp4 [7fae5b32189b3fc5] 27,117,777 156CDB04
6 - Spark Introduction\40 - Resilient Distributed Datasets.mp4 [f3a2122b02f81ac0] 11,193,156 EDA38A86
6 - Spark Introduction\42 - Directed Acyclic Graph (DAG) & Stages.mp4 [8c00ae2777266986] 39,941,281 1B9C516C
6 - Spark Introduction\39 - Spark Introduction.mp4 [ae630c111ae1d2ad] 17,117,682 B641BC81
6 - Spark Introduction\41 - Cluster Overview.mp4 [2e923ed7540c4d69] 27,511,129 D3ED2D4C
3 - Sqoop Export\15 - Export from Hdfs to Mysql.mp4 [d66d9842f467ea49] 15,982,695 88D5FDC6
3 - Sqoop Export\16 - Export from Hive to Mysql.mp4 [fc6f52e8cb7268de] 11,188,199 D2D39852
1 - Hadoop Introduction\01 - HDFS and Hadoop Commands.mp4 [33b5a4e3efc16432] 34,705,834 9502FE1A
8 - Spark RDD Practice\57 - Orders placed by Customers.mp4 [6c46b82a6ccc2116] 37,388,842 C4744736
8 - Spark RDD Practice\56 - Population of each City.mp4 [53e17404a8d19bf2] 15,959,210 A3528C6C
8 - Spark RDD Practice\58 - Movie Average Rating greater than 3.mp4 [89433858eda6dccd] 28,412,508 64046B95
8 - Spark RDD Practice\54 - Extract Error Logs from log files.mp4 [64118fc75ca82592] 41,472,389 0B35A42B
8 - Spark RDD Practice\55 - Frequency of word in Text File.mp4 [b03234cf6bfc51fc] 34,249,810 78343CE1
8 - Spark RDD Practice\53 - Scala Tuples.mp4 [66e9f933864916fa] 11,822,886 A9E864BC
7 - Spark Transformations & Actions\52 - Spark Actions.mp4 [32877fd7fa042003] 24,670,478 026CE1EB
7 - Spark Transformations & Actions\50 - Change number of Partitions.mp4 [2a40740c5a6b6ad2] 16,233,234 43AABACC
7 - Spark Transformations & Actions\44 - Filter_Intersection.mp4 [e02209e524008d09] 17,694,658 CFA7689D
7 - Spark Transformations & Actions\51 - Join _ Join email address based on customer name.mp4 [a10cc93ab7ec254b] 13,615,616 2FCDCAAD
7 - Spark Transformations & Actions\49 - MapPartition _ MapPartitionWithIndex.mp4 [db6f372ecc47c27] 25,398,962 5F10AB0E
7 - Spark Transformations & Actions\48 - SortByKey _ Sort students based on their rollno.mp4 [44731a4874d14412] 25,484,688 4E64C9B0
7 - Spark Transformations & Actions\46 - GroupByKey_ Group people based on Birthday months.mp4 [17781be33c3a1b5c] 23,640,917 11E6B266
7 - Spark Transformations & Actions\47 - ReduceByKey _ Total Number of students in each Subject.mp4 [a4e9ca072166b24d] 28,562,371 1FDB0EF3
7 - Spark Transformations & Actions\43 - Map_FlatMap Transformation.mp4 [795207fa2bdb7cc4] 18,684,921 075D85C3
7 - Spark Transformations & Actions\45 - Union_Distinct Transformation.mp4 [ff720ef723111d98] 11,197,385 48EA003B
5 - Apache Hive\35 - Hive String Functions.mp4 [9f7fe001ac25d04c] 26,350,006 FDE5424B
5 - Apache Hive\33 - Working with Fixed File Format.mp4 [f95b47be46badca3] 11,782,838 F17B0A66
5 - Apache Hive\25 - Hive Introduction.mp4 [c73015dd0e8bb676] 14,425,142 E687004F
5 - Apache Hive\31 - Working with Parquet.mp4 [a835fb7534ee189f] 13,982,313 3B1A2E9A
5 - Apache Hive\32 - Compressing Parquet.mp4 [7f7ad336cd524fa5] 20,070,589 5AD6ADE7
5 - Apache Hive\26 - Hive Database.mp4 [3ef97f76e91eb198] 13,128,633 E1725574
5 - Apache Hive\34 - Alter Command.mp4 [1539a0fbe53ecf9f] 24,501,253 D5E11D45
5 - Apache Hive\28 - Hive External Tables.mp4 [fb104317dccb6145] 11,050,450 E94CD491
5 - Apache Hive\38 - Hive Bucketing.mp4 [25f2df4c105c1147] 15,434,125 B6A5CF95
5 - Apache Hive\37 - Hive Partitioning.mp4 [50349a482e2e8655] 27,828,626 09D7C0F6
5 - Apache Hive\36 - Hive Date Functions.mp4 [69bfea3973a37a0b] 21,971,065 B6B15392
5 - Apache Hive\29 - Hive Inserts.mp4 [e3dd19c63f234149] 22,649,111 3C481874
5 - Apache Hive\30 - Hive Analytics.mp4 [4b675deae5a8787c] 18,219,835 F2E2BFA0
5 - Apache Hive\27 - Hive Managed Tables.mp4 [98c76d048fc0d8c5] 26,800,678 6720D2E9
9781839212734_Code.zip 8,320,674 B79AC5D4
2 - Sqoop Import 0 00000000
9 - Spark Dataframes & Spark SQL 0 00000000
4 - Apache Flume 0 00000000
6 - Spark Introduction 0 00000000
3 - Sqoop Export 0 00000000
1 - Hadoop Introduction 0 00000000
8 - Spark RDD Practice 0 00000000
7 - Spark Transformations & Actions 0 00000000
5 - Apache Hive 0 00000000

Total size: 1,390,823,619
RAR Recovery
Not Present
Labels UNKNOWN