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ApacheKafka), organisations can now analyse vast amounts of data as it is generated. Understanding real-time data processing frameworks, such as ApacheKafka, will also enhance your ability to handle dynamic analytics. Data Visualisation Skills: Tools like Tableau or PowerBI are vital for presenting insights clearly.
This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key tools include: Business Intelligence (BI) Tools : Software like Tableau or PowerBI allows users to visualise and analyse complex datasets easily.
This includes structured data (like databases), semi-structured data (like XML files), and unstructured data (like text documents and videos). Key tools include: Business Intelligence (BI) Tools : Software like Tableau or PowerBI allows users to visualise and analyse complex datasets easily.
Python, SQL, and Apache Spark are essential for data engineering workflows. Real-time data processing with ApacheKafka enables faster decision-making. MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Cloud-based tools like Snowflake and BigQuery enhance scalability and performance.
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