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Real time data driven applications and SQL vs NoSQL databases Giovanni Manzanita Whisperer GoDataDriven PROUDLY PART OF THE XENIA GROUPFeedback gglanzaniRealtime, data driven app? No store and retrieve;
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How to fill out real time data driven
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Step 1: Identify the real-time data sources that you want to utilize for your application.
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Step 2: Determine the format and structure of the data that will be collected.
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Step 3: Choose a suitable real-time data processing platform or framework.
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Step 4: Set up the necessary infrastructure and resources to support real-time data processing.
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Step 5: Implement the necessary code or scripts to fetch and process real-time data.
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Step 6: Test and debug the real-time data flow to ensure its accuracy and reliability.
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Step 7: Continuously monitor and optimize the performance of your real-time data-driven application.
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Step 8: Keep the real-time data updated and ensure its security and privacy.
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Step 9: Integrate the real-time data with your application to enable dynamic and data-driven features.
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Step 10: Regularly analyze and visualize the real-time data to extract valuable insights and make informed decisions.
Who needs real time data driven?
01
Businesses that rely on immediate and up-to-date information for decision-making.
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Financial institutions that require real-time market data for trading and investment purposes.
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Emergency services and public safety agencies that need real-time information for effective response and coordination.
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Online retailers that use real-time data to personalize customer experiences and optimize inventory management.
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Transportation companies that depend on real-time data for route planning, tracking, and scheduling.
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Healthcare providers that utilize real-time patient data for monitoring and delivering timely care.
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Manufacturing companies that employ real-time data to optimize production processes and minimize downtime.
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Sports teams and coaches that leverage real-time performance and analytics data for strategy development and player evaluation.
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Smart cities and IoT devices that rely on real-time data for efficient resource management and automation.
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Media organizations that utilize real-time data for personalized content delivery and audience engagement.
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What is real time data driven?
Real time data driven refers to using data that is received and processed immediately, allowing for instant decision making based on up-to-date information.
Who is required to file real time data driven?
Companies or organizations that rely on real time data for decision making purposes are required to file real time data driven.
How to fill out real time data driven?
Real time data can be filled out using automated systems that capture data in real time and generate reports or dashboards for analysis.
What is the purpose of real time data driven?
The purpose of real time data driven is to ensure that decisions are made based on current and accurate information, leading to more effective and efficient outcomes.
What information must be reported on real time data driven?
The information reported on real time data driven may include key performance indicators, trends, anomalies, and other relevant data points.
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