What Is Data Merging, Data Cleansing, Sampling?

1.	What Is Data Merging, Data Cleansing, Sampling?
Answer» CLEANSING: TO identify and remove the redundancy and inconsistency. sampling: just SAMPLE the data through send the data from SOURCE to target. Data merging: It is a PROCESS of combining the data with similar structures in to a single output. Data Cleansing: It is a process of identifying and rectifying the inconsistent and INACCURATE data into consistent and accurate data. Data Sampling: It is the process of sample by sending the data from source to target. Cleansing: TO identify and remove the redundancy and inconsistency. sampling: just sample the data through send the data from source to target. Data merging: It is a process of combining the data with similar structures in to a single output. Data Cleansing: It is a process of identifying and rectifying the inconsistent and inaccurate data into consistent and accurate data. Data Sampling: It is the process of sample by sending the data from source to target.

Answer»

CLEANSING: TO identify and remove the redundancy and inconsistency.

sampling: just SAMPLE the data through send the data from SOURCE to target.

Data merging: It is a PROCESS of combining the data with similar structures in to a single output.

Data Cleansing: It is a process of identifying and rectifying the inconsistent and INACCURATE data into consistent and accurate data.

Data Sampling: It is the process of sample by sending the data from source to target.

Cleansing: TO identify and remove the redundancy and inconsistency.

sampling: just sample the data through send the data from source to target.

Data merging: It is a process of combining the data with similar structures in to a single output.

Data Cleansing: It is a process of identifying and rectifying the inconsistent and inaccurate data into consistent and accurate data.

Data Sampling: It is the process of sample by sending the data from source to target.

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