Data Cleansing Analytics Time Series Data Modeling Dimension TDE Snowflake Analytics Maturity Model Data Warehouse NULL BI Tool ChatGPT Change Control BI Governance Prescriptive Analytics Data Mart Cubes Comparative Analysis R MDM Big Data Engineer Normalization Ad-Hoc Reporting OLAP Random Forest Source Marts Power Analysis 17.7% Report 0,1,2,3,5, 8,13,21, 34,55,89 Data Mining Algorithms Machine Learning Fact Azure Scorecard SMART Goals Big Data Self- Service BI SPC Dashboard Outliers Agile Descriptive Analytics Data Source 250,000 Drill- Down/Drill- Through Java In-Memory Processing Conditional Formatting Spark -lines Python Data Integration Predictive Analytics ETL Data Visualization Windows Business Intelligence Data Governance KPI Metadata AI 71% 59 Million Data Cleansing Analytics Time Series Data Modeling Dimension TDE Snowflake Analytics Maturity Model Data Warehouse NULL BI Tool ChatGPT Change Control BI Governance Prescriptive Analytics Data Mart Cubes Comparative Analysis R MDM Big Data Engineer Normalization Ad-Hoc Reporting OLAP Random Forest Source Marts Power Analysis 17.7% Report 0,1,2,3,5, 8,13,21, 34,55,89 Data Mining Algorithms Machine Learning Fact Azure Scorecard SMART Goals Big Data Self- Service BI SPC Dashboard Outliers Agile Descriptive Analytics Data Source 250,000 Drill- Down/Drill- Through Java In-Memory Processing Conditional Formatting Spark -lines Python Data Integration Predictive Analytics ETL Data Visualization Windows Business Intelligence Data Governance KPI Metadata AI 71% 59 Million
(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.
Data Cleansing
Analytics
Time Series
Data Modeling
Dimension
TDE
Snowflake
Analytics Maturity Model
Data Warehouse
NULL
BI Tool
ChatGPT
Change Control
BI Governance
Prescriptive Analytics
Data Mart
Cubes
Comparative Analysis
R
MDM
Big Data Engineer
Normalization
Ad-Hoc Reporting
OLAP
Random Forest
Source Marts
Power Analysis
17.7%
Report
0,1,2,3,5,
8,13,21,
34,55,89
Data Mining
Algorithms
Machine Learning
Fact
Azure
Scorecard
SMART Goals
Big Data
Self-Service BI
SPC
Dashboard
Outliers
Agile
Descriptive Analytics
Data Source
250,000
Drill-Down/Drill-Through
Java
In-Memory Processing
Conditional Formatting
Spark -lines
Python
Data Integration
Predictive Analytics
ETL
Data Visualization
Windows
Business Intelligence
Data Governance
KPI
Metadata
AI
71%
59 Million