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Schema alignment is critical when integrating multiple datasets because it harmonizes different data structures by ensuring consistent field names and data types across datasets. For example, aligning fields like “Date of Purchase” with “Purchase Date” ensures data uniformity, and converting data types like text-based dates to standardized formats makes merging more effective. Schema alignment facilitates smoother data integration, making analysis more accurate and cohesive across disparate datasets. It is particularly essential in environments where data from various sources must be merged and analyzed as a whole. The other options are incorrect because: • Option 1 involves aggregation, which is about summarizing data rather than aligning field names or data types. • Option 2 (normalization) is useful for scaling but does not address naming or type consistency. • Option 4 is inefficient as it can lead to loss of potentially valuable data by discarding non-matching entries. • Option 5 (z-scores) is a transformation technique for numerical standardization, unrelated to resolving inconsistencies in data schema.
What is the estimated income received from GST and VAT taxes in the fiscal year 2022-23 (budget estimate)?
Which state has the maximum forest cover in India?
A tribal festival called Medaram Jatara will soon get the tag of National Festival. This festival is observed in:
Match list-I with list-II and select the correct answer using the code given below the lists-
Match the following:
Which of the following is a tributary of the river Ganga?
The East India Company acquired a charter from which of the following ruler of England, granting it the sole right to trade with the East?
Uttarakhand Khadi and Village Industries Board has 4 subordinate regional offices, which of the following is not one of them?
Who has won the Indonesia Masters 2021 in Men's singles category?
The highest Lake of India is?