Selepas lulus kuliah di tahun 2013, saya menyimpan keinginan untuk kuliah ke luar negeri. Tujuannya untuk memperluas wawasan serta koneksi. Salah satu negara tujuan utama adalah Amerika Serikat; alasannya karena banyak perusahaan teknologi besar yang lahir di sana. Namun, keinginan tersebut urung terlaksanakan karena ada urusan keluarga yang menyebabkan saya tidak bisa jauh dari kampung halaman.
Successfool. Istilah yang pertama kali saya baca dari situs theminimalists.com. Istilah ini merepresentasikan kesuksesan fana, di mana sukses adalah mewujudkan impian kebanyakan orang, mencapai situasi yang didambakan banyak orang, mencapai status sosial tertentu.
Rosi, istri saya, berkali-kali mengajak ke Lampung untuk melihat keindahan Pulau Pahawang. Diajaknya saya naik kapal ferry dari Merak ke Bakauheni. Saya menolak berkali-kali karena kurang nyaman untuk naik kapal ferry (kurang nyaman = ga berani). Namun saya iyakan juga, saya memberanikan diri. Cikaracak ninggang batu, laun-laun jadi legok. Karena terus menurus dirayu, akhirnya luluh juga.
Working on both event sourcing and dimensional modeling, looking at the concept and understanding some use cases, I feel they are somehow similar. They both care about state changes, not the state itself. This makes me wonder, how close are they actually, can they work together in a, let say, hypothetical use case?
This post is started from my frustation trying to analyze Jira issues using Jira report features. Jira provides built-in reports, for example if you have a Kanban board it will provide Control Chart. However, if you want to customize the insight, the only way that I find is by doing a lot of coding, which is not flexible enough for me to do ad hoc analysis. I ended up copying Jira issue to BigQuery so that I can analyze easily.
In this post, I would like to elaborate how I load my date-partitioned Parquet files on S3 to BigQuery using Airflow. I will explain how to do it as cheap as possible. I will also mention technical issue I met along the way so you can save your time. The Airflow being used is managed-service provided by Google Cloud Platform called Cloud Composer.
Once upon a time, my manager introduced me a tool to help me manage the team. I was so green, this was the first time I manage a team so any tool will likely help me. The tool is called OKR, stands for Objective and Key Result. There was not really much introduction done, so I did my homework trying to understand what this is about.