Use pyReScene to create SRRs from your collection and upload them here.
  • U: Anonymous
  • D: 2019-08-23 19:17:02
  • C: Unknown

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ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
12,635
Stored files
4,557 5C41603D
232 09CCADA4
RAR-files
phaa-dzy7-xqzt.rar 50,000,000 B13F4059
phaa-dzy7-xqzt.r00 50,000,000 37D6D480
phaa-dzy7-xqzt.r01 50,000,000 5AB33E4E
phaa-dzy7-xqzt.r02 50,000,000 676220C7
phaa-dzy7-xqzt.r03 50,000,000 36A4C2B0
phaa-dzy7-xqzt.r04 50,000,000 E47C8788
phaa-dzy7-xqzt.r05 50,000,000 48BA7762
phaa-dzy7-xqzt.r06 13,935,068 73ACC5FF

Total size: 363,935,068
Archived files
aws-elastic-mapreduce-handling-data-analyzing.zip 17,565,709 34F694B4
5 - Adding Machine Learning to the Pipeline\35 - Module Summary.mp4 [2cb06344d7bbdf26] 1,151,969 E3EF24DD
5 - Adding Machine Learning to the Pipeline\36 - Course Summary.mp4 [5457abf81d11949b] 1,714,977 4809882D
5 - Adding Machine Learning to the Pipeline\33 - What Is MLlib.mp4 [78726dec0f9dbdaf] 2,803,479 BD02007A
5 - Adding Machine Learning to the Pipeline\32 - Module Overview.mp4 [5f2a28a8f8cf7104] 913,054 2B8E9D5B
5 - Adding Machine Learning to the Pipeline\34 - EMR with Apache Spark and MLlib.mp4 [3cb7435c1b354f19] 21,526,046 34D69798
3 - Processing, Moving, and Querying Data\16 - Exporting DynamoDB Data - Part 1.mp4 [9a8f96d0f7dbbd4e] 15,019,632 E5B37A08
3 - Processing, Moving, and Querying Data\24 - Demo - Presto with EMR and S3.mp4 [18a0190db606736d] 19,879,262 A8CF3364
3 - Processing, Moving, and Querying Data\13 - Apache Hive and EMR Intro.mp4 [a665ed2287c55537] 3,949,151 EF9501C4
3 - Processing, Moving, and Querying Data\17 - Exporting DynamoDB Data - Part 2.mp4 [7e9abe1d5613e05c] 23,549,185 3ACF5F72
3 - Processing, Moving, and Querying Data\25 - Module Summary.mp4 [49dd38e9ea047bd8] 2,142,883 9E13F359
3 - Processing, Moving, and Querying Data\20 - Demo - Redshift and EMR - Part 2.mp4 [50b67c1a028f44b3] 23,112,068 988A178B
3 - Processing, Moving, and Querying Data\15 - DynamoDB Demo Intro.mp4 [e69cc2793ee4ad98] 1,586,850 E8CB11BC
3 - Processing, Moving, and Querying Data\19 - Demo - Redshift and EMR - Part 1.mp4 [6a86e17442ed1bfa] 22,972,248 13162D87
3 - Processing, Moving, and Querying Data\14 - Connecting EMR to DynamoDB Overview.mp4 [d22d624967cbb20b] 4,215,550 A970438D
3 - Processing, Moving, and Querying Data\18 - Looking at EMR and Redshift.mp4 [16c6224592e132ac] 3,438,957 532D2F97
3 - Processing, Moving, and Querying Data\22 - Configure and Using HBase on EMR.mp4 [53ef28219d1f7526] 13,988,183 BA51A539
3 - Processing, Moving, and Querying Data\21 - HBase and EMR Overview.mp4 [699f116157447bf2] 4,069,335 3FF12224
3 - Processing, Moving, and Querying Data\23 - Taking a Look at PrestoDB.mp4 [267c32c34109cd31] 3,232,631 CD514B2F
3 - Processing, Moving, and Querying Data\12 - Module Overview.mp4 [b5abaebc683ef198] 1,570,172 FFAD9215
4 - Streaming and Analyzing Data with Apache Products\28 - Demo - Apache Flink.mp4 [b8b3f9ae3c80602d] 24,175,697 291A4ACE
4 - Streaming and Analyzing Data with Apache Products\27 - Get to Know Apache Flink.mp4 [cdc79ce8cf8643a4] 2,550,247 BE1D71D0
4 - Streaming and Analyzing Data with Apache Products\29 - Apache Spark and EMR Overview.mp4 [af56ea74ee6ea418] 3,805,642 2509BC98
4 - Streaming and Analyzing Data with Apache Products\31 - Module Summary.mp4 [701169d6761a6a2d] 1,463,515 8492139D
4 - Streaming and Analyzing Data with Apache Products\30 - Demo - Apache Spark and EMR.mp4 [bbe429977e153f37] 20,982,559 DDDC65D5
4 - Streaming and Analyzing Data with Apache Products\26 - Module Overview.mp4 [af4f1f411136008] 2,087,004 C6E2A5CA
1 - Course Overview\01 - Course Overview.mp4 [dfb1fd075916df52] 4,142,508 E05EE578
2 - Configuring Elastic MapReduce in a Pipeline\03 - What Is Emr.mp4 [c55e296dc9bcb12e] 5,625,874 6C4C6CB0
2 - Configuring Elastic MapReduce in a Pipeline\02 - Module Intro.mp4 [a23ce945d10082d6] 3,490,005 9CBDB538
2 - Configuring Elastic MapReduce in a Pipeline\06 - Submitting an EMR Job.mp4 [b8d3eca123549a1e] 18,275,031 E584419D
2 - Configuring Elastic MapReduce in a Pipeline\08 - Allowing Access to EMRFS Data.mp4 [48a263f09bae7953] 7,961,991 AD6C97EA
2 - Configuring Elastic MapReduce in a Pipeline\11 - Module Summary.mp4 [e1a9e7ab3111c824] 3,280,297 2015453A
2 - Configuring Elastic MapReduce in a Pipeline\05 - Securing EMR Access.mp4 [bd2ebff78fc3b676] 11,064,689 38BAD0E8
2 - Configuring Elastic MapReduce in a Pipeline\04 - Creating an EMR Cluster.mp4 [b0930803adcdaa06] 26,027,218 77EBB1A7
2 - Configuring Elastic MapReduce in a Pipeline\07 - What Is EMRFS.mp4 [97c099409fa1a68c] 3,241,874 76BF63AE
2 - Configuring Elastic MapReduce in a Pipeline\10 - Submitting Steps via the AWS CLI.mp4 [e1ea624cb2a136fd] 22,230,256 F6315AAF
2 - Configuring Elastic MapReduce in a Pipeline\09 - Outputting Encrypted EMRFS Data.mp4 [57ef6183ed02fcd2] 15,123,809 735E4328
5 - Adding Machine Learning to the Pipeline 0 00000000
3 - Processing, Moving, and Querying Data 0 00000000
4 - Streaming and Analyzing Data with Apache Products 0 00000000
1 - Course Overview 0 00000000
2 - Configuring Elastic MapReduce in a Pipeline 0 00000000

Total size: 363,929,557
RAR Recovery
Not Present
Labels UNKNOWN