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Ingest

  • Replication Strategies for Databases
  • Read Connectors
  • Object Aggregation Strategies for Blob Storage
  • Create a Read Connector
  • Schema Inference
  • Blob Storage Read Connector Parsers
  • Replication Strategies for Blob Store
  • CDC with Ascend
  • Filter Expression
  • Scheduled Triggers
    • How to Create a Timed Trigger Read Connector

Transform

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      • Create a Merge Transform
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Deliver

  • Write Connectors
  • Create a Write Connector
  • Blob Storage Write Connector Formats
  • Data Shares
  • Create a Data Share

Observability

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Administration

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    • Create a Spark Cluster Pool
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Dedicated Environment Setup

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    • OneLogin
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Gen1 Ascend

  • Overview
  • JDBC / ODBC Connection
    • Querying from DataGrip
    • Python Examples for Querying through JDBC/ODBC
    • Superset
  • File-Based Access
    • Zeppelin File-Based Access
    • Apache Spark
  • Gen1 Read Connectors
    • Google BigQuery Read Connector (Legacy)
    • Google Cloud Storage Read Connector (Legacy)
    • AWS S3 Read Connector (Legacy)
    • File Upload (Legacy)
    • AWS Redshift Read Connector (Legacy)
    • Kafka Read Connector (Legacy)
    • Microsoft SQL Server Read Connector (Legacy)
    • MySQL Read Connector (Legacy)
    • Azure Blob Read Connector (Legacy)
    • Twitter
    • Snowflake Read Connector (Legacy)
  • Gen1 Write Connectors
    • AWS S3 Write Connector (Legacy)
    • Google Cloud Storage Write Connector (Legacy)
    • Google BigQuery Write Connector (Legacy)
    • AWS Redshift Write Connector (Legacy)
    • MySQL Write Connector (Legacy)
    • Azure Blob Write Connector (Legacy)
    • Snowflake Write Connector (Legacy)
    • Microsoft SQL Server Write Connector (Legacy)
    • Custom Write with Blob Stores
  • SQL Functions
  • Scala & Java Transforms
  • Recursive Transforms
  • Data Partitioning (Legacy SQL Transforms)
  • Data Feeds (Legacy)
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Write Connectors

Updated 11 months ago


PySpark Transforms
Create a Write Connector