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Navigating the Big Data Frontier: A Guide to Efficient Handling

Women in Big Data

Data Ingestion: Data is collected and funneled into the pipeline using batch or real-time methods, leveraging tools like Apache Kafka, AWS Kinesis, or custom ETL scripts. Data Processing (Preparation): Ingested data undergoes processing to ensure it’s suitable for storage and analysis.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.