ETL | Extract , Transform , and Load data with Ruby | Data Migration library

I'm doing some ETL, using the standard "Pre-Load" partition pattern: Load the data into a dated partition of a loading table, then SWITCH that partition into the live table.

I found these options for the SWITCH command:

I'm trying to collect on my notebook using xperf. The .etl file is generated. i'm using the "Diag" that includes precise and sampled CPU profiles.

But, when open .etl on WPA, it did not show the "sampled" grap, just precise. Doing some searches, I found this can be related to Hardware Counters used to the sampled timing.

But, my xperf show that pmcsource timing is available:

[![xperf pmcsources output][1]][1]

Does someone have some idea how I can troubleshoot this missing sampled grap? [1]: https://i.stack.imgur.com/fVnNl.png

I use Nife 1.13.2 for build ETL process between Oracle and PostgresQL.

There is an ExecuteSQL processor for retrieving data from Oracle and a PutDatabaseRecord processor for inserting data to PostgresQL's table. In PostgresQL's processor there configured INSERT_IGNORE option. The name of key column in both tables is DOC_ID. But due to insert operation, from some reason, Nifi generate mistaken name of the column as it is seen from follow line: ON CONFLICT (DOCID) DO NOTHING

Here is whole error:

I have a hive external partitioned table with following data structure:

My project is undergoing a transition to a new AWS account, and we are trying to find a way to persist our AWS Glue ETL bookmarks. We have a vast amount of processed data that we are replicating to the new account, and would like to avoid reprocessing.

It is my understanding that Glue bookmarks are just timestamps on the backend, and ideally we'd be able to get the old bookmark(s), and then manually set the bookmarks for the matching jobs in the new AWS account.

It looks like I could get my existing bookmarks via the AWS CLI using:

I completed my ETL part in SSIS. Now for data visualization i installed Power BI for dashboards and reports. Also i read research papers and I didn't find anyone related to power Bi. Lastly, Do i need to implement SSAS and SSRS package as well.

I'm creating a column in a dataframe that is an array of 4 structs. Any of them could be null, but since I need to have a fixed number of items in this array, I need to clean out the null items after the fact. I'm getting an error when trying to use a UDF to remove the null items though. Here's an example:

Create the data frame, notice one of the "a" value is None

I'm trying to figure out why is output for git diff [branch_name] [hash] different from git diff [hash] while standing on [branch_name]? (Note SHARED folder for diff with [hash] and DWH4DMS folder for diff with [branch_name] and [hash]) Example as follows:

I am writing a unit test for my ETLs and as a process, I want to test all Dags to make sure that they do not have cycles. After reading Data Pipelines with Apache Airflow by Bas Harenslak and Julian de Ruiter I see they are using DAG.test_cycle(), the DAG here is imported from the module airflow.models.dag but when I run the code I get an error that AttributeError: 'DAG' object has no attribute 'test_cycle'

Here is my code snippet