DataBug for Techies
  • Home
  • Getting Started
    • The DataBug process
    • Agents
      • Deploying your own Agent
      • IP Address Ranges
    • Connections
      • Relational Databases
        • Azure SQL
        • Azure Synapse Analytics
        • Firebird
        • IBM DB2
        • Microsoft SQL Server
        • MySQL
        • Oracle
        • PostgreSQL
      • Non-Relational Databases
        • Apache Cassandra
        • Apache CouchDB
        • Apache HBase
        • Azure Cosmos DB
        • Couchbase
        • Elasticsearch
        • MongoDB
        • Neo4j
        • RavenDB
      • Key-Value Stores
        • Amazon DynamoDB
      • File-Based Databases
        • Microsoft Access
        • H2
        • SQLite
      • Flat Files
        • Amazon S3
        • Azure Blob Storage
        • Azure File Storage
        • Local Folder
      • Web-Based Data
        • HTTP URL
    • Problem Definitions
    • Key Skills
  • 1. Gathering data
    • Working with query templates
    • Relational databases
      • Platforms
        • Microsoft SQL Server
    • No SQL databases
      • Defining schemas for JSON
      • Flattening JSON data
      • Platforms
        • Apache HBase
        • Neo4J
    • APIs
      • Platforms
        • ECOES API
    • Logs
      • Ingestion of log data
  • 2. Analyzing Data
    • Overview
  • 3. Managing Cases
    • Creating Cases
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This site is for techies and describes setting up Connections and Problem Definitions. These are the recipes that turn queries into actionable cases.

NextThe DataBug process

Last updated 1 year ago

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