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To confirm seamless integration, you can use tools like Apache Hadoop, Microsoft Power BI, or Snowflake to process structured data and Elasticsearch or AWS for unstructured data. Improve Data Quality Confirm that data is accurate by cleaning and validating data sets.
Datacleaning identifies and addresses these issues to ensure data quality and integrity. Data Analysis: This step involves applying statistical and Machine Learning techniques to analyse the cleaneddata and uncover patterns, trends, and relationships.
The following figure represents the life cycle of data science. It starts with gathering the business requirements and relevant data. Once the data is acquired, it is maintained by performing datacleaning, data warehousing, data staging, and data architecture. character) is underlined or not.
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