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细节

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BigBI 主要特点

• Quick Demo
  You can see how the platform works quickly with a demo.
• Cloud Agnostic
  It works well with any cloud service, giving you flexibility.
• Business Benefits
  The SaaS helps everyone access and process big data easily.
• Hybrid & Multi-cloud
  You can use the platform on both private and public clouds.
• Drag & Drop Interface
  You can easily build data pipelines by dragging and dropping elements.
• Interactive Debugging
  You can check and fix your data processes in real-time.
• Processing Efficiency
  The SaaS saves time and money by processing data quickly.
• Fast Pipeline Building
  You can build data pipelines in hours instead of weeks or months.
• Power of Spark Cluster
  It uses a powerful Spark cluster instead of older ETL servers.
• Shorten Time to Insight
  You can get insights from your data much faster, from weeks to just a few hours.
• Spark MLlib Utilization
  You can use Spark's machine learning library for advanced analysis.
• Distributed and Scalable
  It can handle large amounts of data and grow as needed.
• Export JAR for Production
  You can easily export your work for use in production environments.
• Efficiently & Interactively
  The SaaS allows you to work with data in a fast and engaging way.
• Jupyter Notebook Integration
  Data scientists can easily connect their work with Jupyter Notebook.
• Streaming & Batch Processing
  You can process data in real-time or in groups, depending on your needs.
• Integration with Data Science
  It allows smooth collaboration between BI analysts and data scientists.
• No-Code Apache Spark Pipelines
  You can create big data pipelines without writing any code.
• Democratizing Big Data Analytics
  This feature makes big data analysis easy for everyone, without needing to code.
• Quick Execution of Data Pipelines
  Data engineers can run pipelines in just hours.
• Machine Learning & Graph Analytics
  It supports advanced data analysis techniques like machine learning and graph analysis.
• Semi-structured & Unstructured Data
  The SaaS can work with different types of data, even if they are not organized.
• Efficient Machine Learning Deployment
  You can quickly put machine learning models into production.
• Data Preparation in Multiple Languages
  You can prepare data using Scala, Python, or R as needed.

BigBI 优势

• Fast deployment
  Data engineers can set up pipelines in hours instead of weeks, speeding up projects.
• No coding required
  People can create data pipelines without needing to know how to code.
• Smooth integration
  Data analysts and scientists can work together easily, improving teamwork.
• Hybrid cloud support
  You can use both private and public clouds, making it flexible for different needs.
• Shorten time to Insight
  You can build big data pipelines quickly, going from weeks to just a few hours.
• Easy access for everyone
  It allows more people to work with big data, not just experts.
• Efficient data processing
  Using advanced tools saves time and money by making data work faster.

谁应该使用 BigBI？

• BI Analyst
  They can quickly build big data pipelines in hours, making their work faster and easier.
• Data Engineer
  They can create and run data pipelines in just hours, saving a lot of time.
• Data Scientist
  They can easily connect big data pipelines with their tools and deploy models quickly.
• Business Leaders
  They can get insights from big data much faster, helping them make better decisions.

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BigBI 替代品

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使用的技术

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