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Data Warehousing Solutions Tools like Amazon Redshift, Google BigQuery, and Snowflake enable organisations to store and analyse large volumes of data efficiently. Students should learn about the architecture of datawarehouses and how they differ from traditional databases.
Skills and Tools of Data Scientists To excel in the field of Data Science, professionals need a diverse skill set, including: Programming Languages: Python, R, SQL, etc. Statistical Analysis: Hypothesistesting, probability, regression analysis, etc. Data Visualization: Matplotlib, Seaborn, Tableau, etc.
Data Warehousing and ETL Processes What is a datawarehouse, and why is it important? A datawarehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics.
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