Aggregation example sentences

"Aggregation" Example Sentences

1. This data aggregation process combines data from various sources.
2. The monthly reports provide an aggregation of sales figures by region.
3. Data aggregation is the process of combining data from multiple sources.
4. The city's wastewater treatment plant handles the aggregation of waste from thousands of households.
5. Cloud services allow for easy aggregation of data from geographically distributed devices.
6. Self-aggregation allows for the emergence of swarm intelligence from simple rules.
7. The report showed an aggregation of statistics on crime rates over the past decade.
8. Social media allows for easy aggregation of news reports and trending topics.
9. Snowflake schemas facilitate data aggregation from various fact tables.
10. His research focused on the aggregation behaviors of ant colonies.
11. Data warehouses allow for easier aggregation of historical data for analysis.
12. The data analytics team performed aggregations and calculations on the sales data.
13. Aggregation functions like SUM(), AVG(), and COUNT() summarize data at higher levels.
14. The pollution control measures led to an aggregation of contaminants in the wastewater effluent.
15. ORM frameworks abstract away the complexities of aggregation queries.
16. The app generates interactive visualizations based on data aggregation from user uploads.
17. The concrete in the dam showed signs of degradation and mineral aggregation.
18. Columns defined as GROUP BY keys enable data aggregation in SQL queries.
19. The query performed joins and aggregations across eight fact tables.
20. Data normalization can reduce the complexity of aggregation queries.
21. Carbon sequestration refers to the aggregation of atmospheric carbon in plant tissues and soils.
22. Open API standards facilitate data aggregation from disparate sources.
23. The study examined the factors influencing clot aggregation in cardiovascular patients.
24. Asset aggregation platforms allow investors to purchase fractional ownership in alternative investments.
25. Loan aggregation services help students consolidate their student loans.
26. Mineral aggregation reduces the bioavailability of soil nutrients for plants.
27. The data mart contains aggregated data from various transactional databases.
28. Data aggregation is an essential first step in the data analysis process.
29. The report found that voter turnout shows little aggregation around major election events.
30. The contract terms allow for revenue aggregation from multiple sources.
31. Binning techniques facilitate data aggregation for large datasets.
32. Protein aggregation is implicated in several neurodegenerative disorders.
33. The board reviewed an aggregation of financial data from the past quarter.
34. Data can be aggregated at various levels of granularity for different analyses.
35. Hadoop allows for the distributed aggregation of large datasets.
36. Genome-wide association studies examine the aggregation of genetic variants in patient cohorts.
37. The chemical compound showed aggregation behavior in solution.
38. The marketing department performed customer aggregation analyses to identify new market segments.
39. Data aggregation occurs at multiple levels in data warehouses.
40. The demand for alternative energy sources has led to the rise of solar panel aggregation companies.
41. Graph databases facilitate data aggregation and traversal along relationships.
42. Cluster analysis can reveal patterns of data aggregation within large datasets.
43. The funding model relies heavily on revenue aggregation from multiple sources.
44. Dimensional modeling considers the appropriate level of data aggregation for analytics.
45. The noSQL database facilitated rapid aggregation of timeseries sensor data.
46. Data lakes enable ad hoc aggregation of data from various sources.
47. Explainable AI techniques aim to provide insight into complex model behavior,including data aggregation rules.
48. Sampling techniques are used when full data aggregation is computationally intractable.
49. The business intelligence dashboard provides dynamic data aggregation and visualization.
50. Population stratification can lead to spurious results in genetic association studies due to subgroup data aggregation.
51. They performed particle aggregation measurements using dynamic light scattering.
52. The analyzed dataset contained more than 500 million records aggregated from social media posts.
53. Location data from mobile devices enables real-time traffic data aggregation.
54. The findings suggest an aggregation of risk factors in families with a history of the disease.
55. Rolled-up reporting provides data aggregation at higher organizational levels.
56. The formula cell aggregates data from the range using SUM() functions.
57. The systematic review pooled data from twelve studies using meta-analysis aggregation techniques.
58. The database supports real-time aggregation of IoT sensor data.
59. API-driven architectures facilitate data aggregation from disparate sources.
60. Biobanks allow for genetic data aggregation from large patient cohorts.

Common Phrases

1. Data aggregation - The collection of data from various sources and combining it into centralized location.
2. Revenue aggregation - Combining revenue from multiple sources to arrive at a total figure.
3. Customer aggregation analysis - Analyzing customer data to identify common traits that can define market segments.
4. Risk aggregation - The accumulation of risk factors that collectively increase the probability of an undesirable event.
5. Data aggregation services - Services that collect and combine data from disparate sources.
6. Protein aggregation - The clumping together of proteins, which can cause cell damage and is implicated in several diseases.
7. Dataset aggregation - The combining of multiple datasets into a larger dataset.
8. Cluster aggregation - The joining together of clusters that share common characteristics.
9. Report aggregation - Combining data from multiple reports into an overall summary.
10. Traffic data aggregation - Collecting traffic data from multiple sources to obtain a more complete picture of traffic conditions.