Prepare Source System to Generate Event Log

 Posted on 2022-01-08  |  2 minutes  |  319 words  |  Kazuhiko Takata

Until last post I explained extraction topics using own Postgres database. I think it is better to test extraction functions with changing database by yourself. But it is hard to manually input data record that is meaningful as event log. From now on I will move to transformation topic. To explain this, I think it is required to prepare source system that has user interface, database and API to connect to Celonis EMS, to easily generate event log and extract it. [Read More]
Data Integration  Transformation 

Pay attention to Extract SAP Tables

 Posted on 2021-12-25  |  3 minutes  |  441 words  |  Kazuhiko Takata

Until last post I explained general topics of extraction task, adapted to all kind of source systems. Today I would like to focus on SAP ECC or S4HANA as source system and would like to tell you the SAP specific issues. First issue is regarding source system itself. We would like to guarantee source system’s availability even if I connect Celonis EMS to that. So we may choose testing environment that is snapshot of production system, as source system that connect to Celonis EMS. [Read More]
Data Integration  Extraction 

Use Pseudonymized Column as Grouping Key

 Posted on 2021-12-18  |  2 minutes  |  416 words  |  Kazuhiko Takata

One of the biggest headache for data engineer like me is how to assure data security when extracting data. Especially personal information should be dealt sensitively, otherwise I may be punished by each region’s law (e.g. GDPR). When I operate Celonis EMS, I try not to extract sensitive information from the beginning, for example I do not extract table of customer address (ADRC table in SAP etc.). But this information is sometimes effective for grouping key of counting case etc. [Read More]
Data Integration  Extractor  Extraction  Transformation  Data Job 

Understand Delta Load Configuration Difference in Adding Column Scenario

 Posted on 2021-12-11  |  2 minutes  |  402 words  |  Kazuhiko Takata

Last time I showed behavior when I added new record then extracted that record by Delta Load (Verify Cloning Table Contents via Delta Load). Delta Load is effective way to minimize extraction effort, but it is not always applied. Today, it is continued from previous post, I would like to add column to cloned table and observe behavior of extraction task. After starting system operation including database, normally system is changing its requirement and extend function and database etc. [Read More]
Data Integration  Extractor  Extraction  Transformation  Data Job 

Verify Cloning Table Contents via Delta Load

 Posted on 2021-12-04  |  3 minutes  |  457 words  |  Kazuhiko Takata

Following last week’s Minimize Extraction Time by Delta Load Option, today I would like to insert new record to Postgres table then try Delta Load again to extract it. To do this, I will start from operating pgAdmin, that is already ready for my loal machine after docker-compose. First step is to enter localhost:5050 to my browser, then at the login screen enter pgadmin@celonis.cloud as email and pgadmin as password then click login button. [Read More]
Data Integration  Extractor  Extraction  Transformation  Data Job 

Minimize Extraction Time by Delta Load Option

 Posted on 2021-11-27  |  3 minutes  |  454 words  |  Kazuhiko Takata

Last week I extracted Postgres table and looked at the log to understand mechanism of data transfer. At that time I used Full Load option to extract data, that is to replace all table contents and schema to latest version. That is easiest way to synchronize tables between source system (Postgres) and Celonis, but it takes a lot of time to complete this task. So that I should also use second option Delta Load to minimize extraction time. [Read More]
Data Integration  Extractor  Extraction  Transformation  Data Job 

Look at Data Transfer Process by Data Job Log

 Posted on 2021-11-20  |  3 minutes  |  607 words  |  Kazuhiko Takata

Last week I posted Connect to Celonis and Bring Back Instruction to look at how Extractor works to connect between Celonis and Postgres. This week I would like to extract data from Postgres and look at data transfer process by data job log. In the Data Integration, I create new Data Job with Data Connection I created last week, then create new extraction task. In the next screen I add new table public. [Read More]
Data Integration  Extractor  Extraction  Data Job 

Connect to Celonis and Bring Back Instruction

 Posted on 2021-11-13  |  3 minutes  |  433 words  |  Kazuhiko Takata

From last week I started Data Integration series and posted Run Extractor on Your Local Machine to prepare for my Extractor and Postgres database. Today I will start using Extractor and show you the mechanism to extract data safely. From this week I will start Extractor and Postgres by next two steps (same as last week). Open VS code and open terminal at celonis-postgres folder. Enter docker-compose up in VS code terminal. [Read More]
Data Integration  Extractor 

Run Extractor on Your Local Machine

 Posted on 2021-11-06  |  3 minutes  |  457 words  |  Kazuhiko Takata

From this week I would like to explain my experience regarding Data Integration functions (Extraction, Transformation, Load etc.). To do this, I try to create sample source systems and build code in Celonis training environment. As first topic, I would like to explain on premise Extractor, that is in the middle between your source systems (SAP, Oracle etc.) and Celonis EMS and support transferring data. By the way, because I do not want to pay licence of source systems for this blog, I would like to use open source Postgres database. [Read More]
Data Integration  Extractor 

Copy Previous Value to Blank Period by RUNNING_SUM and RANGE_APPEND functions

 Posted on 2021-10-30  |  2 minutes  |  380 words  |  Kazuhiko Takata

At Investigate Workload Trend of Cropped Subprocess I showed trend of activity count, and at that time I used RANGE_APPEND to fill zero count in trend graph. Today I would like to use different aggregation RUNNING_SUM and fill value to blank period. Imagine you would like to check weekly trend of credit amount regarding some customer. Credit amount is increased by the amount of net value when ‘Receive Order’ happened, and it is decreased when ‘Clear Invoice’ happened. [Read More]
PQL  Process Analytics  Studio  Analysis