Stelo Data Replicator 6.x Technical Documents

This page contains documentation resources for SQDR and SQDR Plus 6.x, currently in Early Ship.

Documentation

SQDR 6.x Release Notes

SQDR 6.x Release History

SQDR Plus 6.x Release Notes

SQDR Plus 6.x Release History

SQDR 6.x Help

SQDR 6.x SQDR Configuration Help

SQDR Plus 6.x Help

Linux

For information about SQDR/Linux, see

Quick Start Guide to using SQDR on Linux

and the chapters SQDR on Linux and Linux: ODBC Drivers in SQDR 6.x Help.

Technical Documents

Upgrade Considerations for SQDR v6 & later
Article #SV00DR046
SQDR 6.1x is a major release. This document describes in detail some of the differences between SQDR 6.1x and earlier versions of SQDR. See the SQDR 6.x Release Notes for the latest information.

Automating SQDR tasks using PowerShell
Article #SV00DR044
SQDR tasks can be controlled programmatically using PowerShell. For instance, the combination of PowerShell and the Windows Scheduled Tasks allow you to easily perform SQDR tasks such as running a snapshot subscription or pausing an incremental subscription group on a scheduled basis. This replaces the COM-based programming support included in previous versions of SQDR.
Using SQDR Streaming Support
Article # SQV00DR048
The combination of SQDR and Apache Kafka (an open-source message broker) can be used to drive incremental data from traditional database systems into new generation data engines, such as Apache Hive, MongoDB, Hadoop, MemSQL, and Cassandra. This tech note describes how to configure the SQDR Streaming Support introduced in SQDR 6.x, replacing/supplementing the original SQDR Kafka Producer of SQDR 5.x.
Using SQDR Streaming Support with Azure Databricks
Article # SQV00DR049
This technical document describes the steps needed to configure Azure Event Hubs and Azure Databricks to receive and apply the incremental changes received from SQDR into Delta Lake storage.
Using Stelo Data Lake Sink Connector for Azure Databricks
Article # SQV00DR051
This technical document describes the steps needed to configure SQDR and Azure Databricks to pull incremental changes from the SQDR staging database into Delta Lake storage.