JNTU B.Tech IV DATA ANALYTICS Previous Question Paper (July/August - 2022 - R16)

Primary data is original information collected specifically for the research purpose at hand. The primary sources include:

1. Surveys and Questionnaires: Structured sets of questions distributed to a target population to gather quantitative or qualitative feedback.
2. Interviews: Direct interaction between the researcher and the respondent, which can be structured, semi-structured, or unstructured to gain in-depth insights.
3. Observations: Systematic recording of behaviors, events, or physical phenomena in their natural setting without direct interference.
4. Experiments: Controlled studies where independent variables are manipulated to observe the effect on dependent variables, establishing cause-and-effect relationships.
5. Focus Groups: Group discussions led by a moderator to explore perceptions, opinions, and attitudes toward a specific topic.

Exporting data to Amazon S3 (Simple Storage Service) involves a structured pipeline to ensure data integrity and security. The process typically follows these steps:

1. Bucket Creation: Create an S3 bucket in the AWS Management Console, defining a unique name and selecting the appropriate region for data residency.
2. Authentication and Authorization: Configure AWS Identity and Access Management (IAM) policies to generate Access Keys and Secret Keys, ensuring the application has the necessary permissions (e.g., s3:PutObject) to write data.
3. Data Preparation: Format the local data into a cloud-compatible structure, such as CSV, JSON, or Parquet, ensuring proper partitioning for efficient retrieval.
4. Transfer Mechanism: Use the AWS SDK (e.g., Boto3 for Python), AWS CLI, or AWS DataSync to initiate the transfer. The data is uploaded via HTTPS, ensuring encryption in transit.
5. Verification: Confirm the upload by checking the object metadata in the S3 console or using the AWS CLI list command to verify the file size and checksums.