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What are the current technologies used in data analytics?

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

### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions...
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### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions like Amazon Redshift and Snowflake store and manage large volumes of data.4. **Machine Learning:** Libraries and frameworks like TensorFlow and Scikit-learn for predictive modeling.5. **SQL Databases:** Systems like MySQL and PostgreSQL for querying and managing relational data.6. **Cloud Analytics:** Platforms like Google Cloud and Azure provide scalable analytics services.7. **Data Integration Tools:** Tools like Talend and Apache Nifi integrate data from various sources. ### Summary:These technologies help collect, process, visualize, and analyze data efficiently. read less
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I am online Quran teacher 7 years

### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions...
read more
### Current Technologies in Data Analytics: 1. **Big Data Technologies:** Tools like Hadoop and Spark handle large-scale data processing and analysis.2. **Data Visualization Tools:** Software like Tableau and Power BI create interactive dashboards and visualizations.3. **Data Warehousing:** Solutions like Amazon Redshift and Snowflake store and manage large volumes of data.4. **Machine Learning:** Libraries and frameworks like TensorFlow and Scikit-learn for predictive modeling.5. **SQL Databases:** Systems like MySQL and PostgreSQL for querying and managing relational data.6. **Cloud Analytics:** Platforms like Google Cloud and Azure provide scalable analytics services.7. **Data Integration Tools:** Tools like Talend and Apache Nifi integrate data from various sources. ### Summary:These technologies help collect, process, visualize, and analyze data efficiently. read less
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