Data Ingestion Service
Data Ingestion Service
- What's New
- Service Overview
- Getting Started
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User Guide
- IAM Permissions Management
- Getting Started
- Managing DIS Streams
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Using DIS
- Checking and Configuring DNS Information
- Uploading Data by Using Agent
- Using DIS Flume Plugin to Upload and Download Data
- Using a DIS Logstash Plugin to Upload and Download Data
- Using Kafka Adapter to Upload and Download Data
- Using SparkStreaming SDK to Download Data
- Using a DIS Flink Connector to Upload and Download Data
- Managing a Dump Task
- Managing Enterprise Projects
- Notifying Events
- Monitoring
- Best Practices
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SDK Reference
- Overview
- Related Resources
- Enabling DIS
- Creating a DIS Stream
- Obtaining Authentication Information
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Getting Started with SDK
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Using the Java SDK
- Preparing the Environment
- Configuring a Sample Project
- Initializing a DIS SDK Client Instance
- Creating a Stream
- Creating a Dump Task
- Updating a Dump Task
- Deleting a Dump Task
- Querying a Dump Task List
- Querying Dump Details
- Deleting a Stream
- Querying a Stream List
- Querying Stream Details
- Downloading Streaming Data
- Uploading Streaming Data
- Obtaining the Data Cursor
- Creating an Application
- Deleting an Application
- Adding a Checkpoint
- Querying a Checkpoint
- Changing Partition Quantity
- Using Kafka Adapter to Upload and Download Data
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Using the Python SDK
- Preparing the Installation Environment
- Configuring a Sample Project
- Initializing a DIS SDK Client Instance
- Creating a Stream
- Creating a Dump Task
- Deleting a Stream
- Deleting a Dump Task
- Querying a Stream List
- Querying a Dump Task List
- Querying Stream Details
- Querying Dump Details
- Uploading Streaming Data in JSON Format
- Uploading Streaming Data in Protobuf Format
- Downloading Streaming Data
- Creating an Application
- Deleting an Application
- Viewing Application Details
- Querying an Application List
- Adding a Checkpoint
- Querying a Checkpoint
- Changing Partition Quantity
- Obtaining a Data Cursor
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Using the Java SDK
- Error Codes
- Change History
- API Reference
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FAQs
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General Questions
- What Is DIS?
- What Is a Partition?
- What Can I Do with DIS?
- What Advantages Does DIS Have?
- Which Modules Do DIS Have?
- How Do I Create a DIS Stream?
- What Is the Difference Between Storing Data into DIS and Dumping Data Elsewhere?
- How Do I Check Software Package Integrity?
- How Do I Send and Retrieve Data Using DIS?
- What Is Data Control?
- Dump Questions
- DIS Agent Questions
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General Questions
- General Reference
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What Can I Do with DIS?
You can use DIS for rapid data intake from producers and continuous data processing. The following are typical scenarios for using DIS:
- Accelerated log or data transmission: Users do not need to wait for batch data processing. Data is put into a DIS stream immediately after it is generated by a data producer, preventing data loss in case of faults in the data producer. For example, system and application logs can be continuously put into a stream and processed within seconds.
- Real-time metrics and reporting: You can retrieve data from DIS streams for simple data analysis and reporting in real time. For example, your DIS applications can work on metrics and reporting for system and application logs as streaming data is being pushed to DIS streams using application programming interfaces (APIs), rather than wait to receive batches of data.
- Real-time data analysis: DIS combines the power of parallel processing with the value of real-time data. For example, you can transform data into valuable information and business intelligence by simply putting data into a DIS stream. This can be done in minutes instead of hours or days.
- Complex stream processing: You can create Directed Acyclic Graphs (DAGs) of DIS applications and streams. This typically involves putting data from one or multiple DIS applications into another stream for downstream processing by a different DIS application.
Parent topic: General Questions
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