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Just drop Copy activity to your pipeline, choose a source and sink table, configure some properties and that’s it – done with just a few clicks! All you need is and a few simple tricks 🙂 Also, this will give you the option of creating incremental feeds, so that – at next run – it will transfer only newly added data.

you can read about mappings in official documentation: https://docs.microsoft.com/en-us/azure/data-factory/copy-activity-schema-and-type-mapping My entire solution is based on one cool feature, that is called string interpolation. All of this using configuration stored in a table, which in short, keeps information about Copy activity settings needed to achieve our goal 🙂 I will use Postgre SQL 10 and Oracle 11 XE installed on my Ubuntu 18.04 inside Virtual Box machine.

We use Postgres, and by default this means we can't get a lot of leverage out of it.

These issues are going to be Postgres oriented, because that's the database we use.

As Andy rightly noted in the comment below this post, it is possible to use “Cols” also to implement SQL logic, like functions, aliases etc.

The value from this column is rewritten directly to the query (more precisely – concatenated between SELECT and FROM clause). SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [load].[cfg]( [id] [SMALLINT] IDENTITY(1,1) NOT NULL, [SRC_name] [NVARCHAR](128) NOT NULL, [SRC_tab] [NVARCHAR](128) NOT NULL, [DST_tab] [NVARCHAR](128) NOT NULL, [Cols] [NVARCHAR](MAX) NOT NULL, [Watermark Column] [NVARCHAR](128) NOT NULL, [Watermark Value] MSK0MayE NOT NULL, [Enabled] [BIT] NOT NULL, CONSTRAINT [PK_load] PRIMARY KEY CLUSTERED ( [id] ASC )WITH (STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF) ON [PRIMARY] ) ON [PRIMARY] TEXTIMAGE_ON [PRIMARY] GO ALTER TABLE [load].[cfg] ADD CONSTRAINT [DF__cfg__Watermark Va__4F7CD00D] DEFAULT ('1900-01-01') FOR [Watermark Value] GO what are connection settings (like connection strings).

Also, all parameters and SELECT queries have to be redefined.

Luckily Postgre SQL support ISO dates out of the box.

It's also clear from the error handling in the project (at least the getting started docs) that they've thought a lot about the first run experience, and helping people figure out the answers to the problems they encounter trying to run Sails.

That said, here are some of the things we've struggled with: Waterline is the ORM that powers Sails.

We will later use built-in query parametrization to pass object names.

In my example, I’ve created two source datasets, ORA and PG As you can see, we need to create also the third dataset.

I will show an example how to add the server to Linked Services, but skip configuring Integration Runtime.