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Data Analytics > What are big data analytics?
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What are big data analytics?

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Data Analyst with 10 years of experience in Fintech, Product ,and IT Services

Big data analytics involves analyzing vast amounts of complex data to uncover patterns, correlations, and trends. It typically includes: 1. **Data Collection:** Gathering data from various sources, such as social media, sensors, and transactions.2. **Data Processing:** Using technologies like Hadoop...
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Big data analytics involves analyzing vast amounts of complex data to uncover patterns, correlations, and trends. It typically includes: 1. **Data Collection:** Gathering data from various sources, such as social media, sensors, and transactions.2. **Data Processing:** Using technologies like Hadoop and Spark to handle large datasets.3. **Data Analysis:** Applying statistical methods, machine learning, and algorithms to find insights.4. **Data Visualization:** Creating charts and dashboards to represent findings clearly. ### Summary:Big data analytics helps organizations make sense of massive amounts of data to drive decisions and uncover valuable insights. read less
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I am online Quran teacher 7 years

Big data analytics involves analyzing vast amounts of complex data to uncover patterns, correlations, and trends. It typically includes: 1. **Data Collection:** Gathering data from various sources, such as social media, sensors, and transactions.2. **Data Processing:** Using technologies like Hadoop...
read more
Big data analytics involves analyzing vast amounts of complex data to uncover patterns, correlations, and trends. It typically includes: 1. **Data Collection:** Gathering data from various sources, such as social media, sensors, and transactions.2. **Data Processing:** Using technologies like Hadoop and Spark to handle large datasets.3. **Data Analysis:** Applying statistical methods, machine learning, and algorithms to find insights.4. **Data Visualization:** Creating charts and dashboards to represent findings clearly. ### Summary:Big data analytics helps organizations make sense of massive amounts of data to drive decisions and uncover valuable insights. read less
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