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Dashboards, such as those built using Tableau or PowerBI , provide real-time visualizations that help track key performance indicators (KPIs). Big data platforms such as ApacheHadoop and Spark help handle massive datasets efficiently. Data Scientists require a robust technical foundation.
Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or PowerBI allows users to visualise and analyse complex datasets easily.
Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Key tools include: Business Intelligence (BI) Tools : Software like Tableau or PowerBI allows users to visualise and analyse complex datasets easily.
ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: ApacheHadoop, Apache Spark, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Excel, Tableau, PowerBI, SQL Server, MySQL, Google Analytics, etc. Data Warehousing: Amazon Redshift, Google BigQuery, etc.
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