ServersClouderaSecurityReplatformAWSOfficeHoursCostNodeCoresMilestoneBestPracticeDefectGuidewireDataReplicationTeamsQueueCWHComputeEnginesEarnixRetirementDownloadTimelineSnowflakeRolesApplianceWarehouseDataLakeIBMQADataADSCubesHistorySpeedOptimizationClaimsSQLProductionSquirrelModTrackerJoinsDremioLegacyScalableAnalyticsOn-premBusinessRulesNetezzaCloudTableauConnectionARTFinancialsSignoffDataIntegrationLoadEndof LifeAccessPIIQueryRepointPIPlanningTablesStatusUpdateMigrationVarianceDL3SnowsightValidationPolicyPerformanceLift &ShiftCommonModelCDEsServersClouderaSecurityReplatformAWSOfficeHoursCostNodeCoresMilestoneBestPracticeDefectGuidewireDataReplicationTeamsQueueCWHComputeEnginesEarnixRetirementDownloadTimelineSnowflakeRolesApplianceWarehouseDataLakeIBMQADataADSCubesHistorySpeedOptimizationClaimsSQLProductionSquirrelModTrackerJoinsDremioLegacyScalableAnalyticsOn-premBusinessRulesNetezzaCloudTableauConnectionARTFinancialsSignoffDataIntegrationLoadEndof LifeAccessPIIQueryRepointPIPlanningTablesStatusUpdateMigrationVarianceDL3SnowsightValidationPolicyPerformanceLift &ShiftCommonModelCDEs

Bye Bye Netezza! - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
  1. Servers
  2. Cloudera
  3. Security
  4. Replatform
  5. AWS
  6. Office Hours
  7. Cost
  8. Node
  9. Cores
  10. Milestone
  11. Best Practice
  12. Defect
  13. Guidewire
  14. Data Replication
  15. Teams
  16. Queue
  17. CWH
  18. Compute Engines
  19. Earnix
  20. Retirement
  21. Download
  22. Timeline
  23. Snowflake
  24. Roles
  25. Appliance
  26. Warehouse
  27. Data Lake
  28. IBM
  29. QA
  30. Data
  31. ADS
  32. Cubes
  33. History
  34. Speed
  35. Optimization
  36. Claims
  37. SQL
  38. Production
  39. Squirrel
  40. Mod
  41. Tracker
  42. Joins
  43. Dremio
  44. Legacy
  45. Scalable
  46. Analytics
  47. On-prem
  48. Business Rules
  49. Netezza
  50. Cloud
  51. Tableau
  52. Connection
  53. ART
  54. Financials
  55. Signoff
  56. Data Integration
  57. Load
  58. End of Life
  59. Access
  60. PII
  61. Query
  62. Repoint
  63. PI Planning
  64. Tables
  65. Status Update
  66. Migration
  67. Variance
  68. DL3
  69. Snowsight
  70. Validation
  71. Policy
  72. Performance
  73. Lift & Shift
  74. Common Model
  75. CDEs