r/dataengineering
Data Engineering
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News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
Read our wiki: https://dataengineering.wiki/
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159,275
February 6, 2015
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Total Submissions
34,147
Total Comments
292,425
Earliest Submission
February 6, 2015
Earliest Comment
May 12, 2016
Rank↕ | Word↕ | Occurrences in Subreddit | Total Occurrences | Rate in Subreddit (per 1M words) | Rate in Reddit (per 1M words) | Ratio (Sub Rate / Reddit Rate) |
|---|---|---|---|---|---|---|
| #1 | 8,592 | 34,070 | 1012.0 | 0.3 | 3562.19 | |
| #2 | 3,063 | 23,341 | 360.8 | 0.2 | 1853.63 | |
| #3 | 5,810 | 60,020 | 684.3 | 0.5 | 1367.34 | |
| #4 | 2,265 | 24,878 | 266.8 | 0.2 | 1286.02 | |
| #5 | 10,388 | 139,953 | 1223.5 | 1.2 | 1048.44 | |
| #6 | 1,057 | 15,874 | 124.5 | 0.1 | 940.55 | |
| #7 | 1,588 | 26,418 | 187.0 | 0.2 | 849.07 | |
| #8 | 3,056 | 57,970 | 359.9 | 0.5 | 744.64 | |
| #9 | 5,304 | 104,603 | 624.7 | 0.9 | 716.23 | |
| #10 | 752 | 17,355 | 88.6 | 0.1 | 612.05 | |
| #11 | 863 | 20,011 | 101.6 | 0.2 | 609.17 | |
| #12 | 1,602 | 41,720 | 188.7 | 0.3 | 542.39 | |
| #13 | 3,494 | 106,700 | 411.5 | 0.9 | 462.54 | |
| #14 | 1,077 | 33,935 | 126.9 | 0.3 | 448.29 | |
| #15 | 869 | 28,882 | 102.4 | 0.2 | 425.00 | |
| #16 | 9,342 | 315,410 | 1100.3 | 2.6 | 418.37 | |
| #17 | 18,497 | 651,547 | 2178.7 | 5.4 | 401.01 | |
| #18 | 1,047 | 37,353 | 123.3 | 0.3 | 395.93 | |
| #19 | 655 | 24,937 | 77.1 | 0.2 | 371.02 | |
| #20 | 573 | 21,859 | 67.5 | 0.2 | 370.27 | |
| #21 | 1,279 | 50,783 | 150.6 | 0.4 | 355.75 | |
| #22 | 3,027 | 120,573 | 356.5 | 1.0 | 354.62 | |
| #23 | 1,459 | 58,507 | 171.8 | 0.5 | 352.24 | |
| #24 | 583 | 25,194 | 68.7 | 0.2 | 326.86 | |
| #25 | 1,383 | 61,717 | 162.9 | 0.5 | 316.53 | |
| #26 | 2,889 | 132,005 | 340.3 | 1.1 | 309.14 | |
| #27 | 371 | 17,310 | 43.7 | 0.1 | 302.74 | |
| #28 | 728 | 35,092 | 85.7 | 0.3 | 293.03 | |
| #29 | 801 | 39,799 | 94.3 | 0.3 | 284.29 | |
| #30 | 651 | 32,992 | 76.7 | 0.3 | 278.72 | |
| #31 | 6,370 | 337,854 | 750.3 | 2.8 | 266.32 | |
| #32 | 340 | 18,543 | 40.0 | 0.2 | 259.00 | |
| #33 | 2,374 | 132,180 | 279.6 | 1.1 | 253.69 | |
| #34 | 1,630 | 93,860 | 192.0 | 0.8 | 245.30 | |
| #35 | 751 | 43,737 | 88.5 | 0.4 | 242.54 | |
| #36 | 1,313 | 78,828 | 154.7 | 0.7 | 235.28 | |
| #37 | 634 | 39,553 | 74.7 | 0.3 | 226.41 | |
| #38 | 1,719 | 108,366 | 202.5 | 0.9 | 224.07 | |
| #39 | 357 | 23,538 | 42.0 | 0.2 | 214.24 | |
| #40 | 318 | 21,705 | 37.5 | 0.2 | 206.95 | |
| #41 | 442 | 30,649 | 52.1 | 0.3 | 203.70 | |
| #42 | 863 | 61,132 | 101.6 | 0.5 | 199.41 | |
| #43 | 2,616 | 185,344 | 308.1 | 1.5 | 199.37 | |
| #44 | 356 | 25,461 | 41.9 | 0.2 | 197.50 | |
| #45 | 516 | 37,343 | 60.8 | 0.3 | 195.18 | |
| #46 | 231 | 16,769 | 27.2 | 0.1 | 194.58 | |
| #47 | 3,071 | 224,661 | 361.7 | 1.9 | 193.08 | |
| #48 | 1,978 | 150,791 | 233.0 | 1.3 | 185.29 | |
| #49 | 484 | 37,117 | 57.0 | 0.3 | 184.19 | |
| #50 | 486 | 37,428 | 57.2 | 0.3 | 183.41 |