Update System Design, ... id translations

translations/README-id.md

@@ -79,7 +79,7 @@ Jika Anda ingin menjadi teknisi ketahanan sistem atau teknisi sistem, lebih bany
     - [Penjadwalan](#penjadwalan)
     - [Implementasi Rutinitas Sistem](#implementasi-rutinitas-sistem)
     - [Pencarian String & Manipulasi](#pencarian-string--manipulasi)
-- [Perancangan Sistem, Skalabilitas, Penganganan Data](#perancangan-sistem-skalabilitas-penanganan-data) (jika anda memiliki pengalaman 4 tahun lebih)
+- [Perancangan Sistem, Skalabilitas, Penganganan Data](#Perancangan-Sistem,-Skalabilitas,-Penganganan-Data) (jika anda memiliki pengalaman 4 tahun lebih)
 - [Ulasan Akhir](#ulasan-akhir)
 - [Latihan Pertanyaan Pemrograman](#latihan-pertanyaan-pemrograman)
 - [Latihan / tantangan coding](#latihan--tantangan-coding)
@@ -1123,126 +1123,131 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
 ---
 
 ## Perancangan Sistem, Skalabilitas, Penganganan Data
-- **Anda dapat mengharapkan pertanyaan desain sistem jika Anda memiliki pengalaman 4+ tahun.**
-- Skalabilitas dan Desain Sistem adalah topik yang sangat besar dengan banyak topik dan sumber daya, karena ada banyak hal yang perlu dipertimbangkan saat merancang sistem perangkat lunak / perangkat keras yang dapat diskalakan. Berharap untuk meluangkan sedikit waktu untuk ini.
-- Pertimbangan dari Yegge:
-    - skalabilitas
+
+**Anda dapat mengharapkan pertanyaan desain sistem jika Anda memiliki pengalaman 4+ tahun.**
+
+- Skalabilitas dan Desain Sistem adalah topik yang sangat besar dengan banyak topik dan sumber daya,
+    karena ada banyak hal yang perlu dipertimbangkan saat merancang sistem perangkat lunak / perangkat keras yang dapat diskalakan.
+    Berharap untuk meluangkan sedikit waktu untuk ini
+- Pertimbangan:
+    - Skalabilitas (Scalability)
         - Saring kumpulan data besar menjadi nilai tunggal
         - Ubah satu kumpulan data ke kumpulan lainnya
         - Menangani data dalam jumlah yang sangat besar
-    - desain sistem (system design)
+    - Desain sistem (System design)
         - set fitur (features sets)
         - antarmuka (interfaces)
         - hierarki kelas (class hierarchies)
         - merancang sistem di bawah batasan tertentu
-        - kesederhanaan dan ketahanan
+        - kesederhanaan dan ketahanan (simplicity and robustness)
         - pengorbanan (tradeoffs)
         - analisis dan pengoptimalan kinerja
-- [ ] **MULAI DI SINI**: [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
-- [ ] [How Do I Prepare To Answer Design Questions In A Technical Inverview?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023)
-- [ ] [8 Things You Need to Know Before a System Design Interview](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/)
-- [ ] [Algorithm design](http://www.hiredintech.com/algorithm-design/)
-- [ ] [Database Normalization - 1NF, 2NF, 3NF and 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM)
-- [ ] [System Design Interview](https://github.com/checkcheckzz/system-design-interview) - There are a lot of resources in this one. Look through the articles and examples. I put some of them below.
-- [ ] [How to ace a systems design interview](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/)
-- [ ] [Numbers Everyone Should Know](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/)
-- [ ] [How long does it take to make a context switch?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html)
-- [ ] [Transactions Across Datacenters (video)](https://www.youtube.com/watch?v=srOgpXECblk)
-- [ ] [A plain English introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/)
-- [ ] Paxos Consensus algorithm:
-    - [short video](https://www.youtube.com/watch?v=s8JqcZtvnsM)
-    - [extended video with use case and multi-paxos](https://www.youtube.com/watch?v=JEpsBg0AO6o)
-    - [paper](http://research.microsoft.com/en-us/um/people/lamport/pubs/paxos-simple.pdf)
-- [ ] [Consistent Hashing](http://www.tom-e-white.com/2007/11/consistent-hashing.html)
-- [ ] [NoSQL Patterns](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
+- [ ] **MULAI DI SINI**: [Primer Desain Sistem](https://github.com/donnemartin/system-design-primer)
+- [ ] [Desain Sistem dari HiredInTech](http://www.hiredintech.com/system-design/)
+- [ ] [Bagaimana Saya Mempersiapkan Untuk Menjawab Pertanyaan Desain Secara Teknis?](https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023)
+- [ ] [8 Hal Yang Perlu Diketahui Sebelum Wawancara Desain Sistem](http://blog.gainlo.co/index.php/2015/10/22/8-things-you-need-to-know-before-system-design-interviews/)
+- [ ] [Desain algoritme](http://www.hiredintech.com/algorithm-design/)
+- [ ] [Normalisasi Basis Data - 1NF, 2NF, 3NF dan 4NF (video)](https://www.youtube.com/watch?v=UrYLYV7WSHM)
+- [ ] [Wawancara Desain Sistem](https://github.com/checkcheckzz/system-design-interview) - Ada banyak sumber daya yang satu ini. Lihat artikel dan contoh. Saya taruh beberapa di bawah ini
+- [ ] [Bagaimana menjadi ace wawancara desain sistem](http://www.palantir.com/2011/10/how-to-rock-a-systems-design-interview/)
+- [ ] [Nomor yang Harus Diketahui Setiap Orang](http://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/)
+- [ ] [Berapa lama waktu yang dibutuhkan untuk membuat pengalih konteks?](http://blog.tsunanet.net/2010/11/how-long-does-it-take-to-make-context.html)
+- [ ] [Transaksi di Seluruh Pusat Data (video)](https://www.youtube.com/watch?v=srOgpXECblk)
+- [ ] [Pengantar bahasa Inggris sederhana untuk Teorema CAP](http://ksat.me/a-plain-english-introduction-to-cap-theorem) 
+- [ ] Algoritma Konsensus:
+    - [ ] Paxos - [Paxos Agreement - Computerphile (video)](https://www.youtube.com/watch?v=s8JqcZtvnsM)
+    - [ ] Raft - [Pengantar Algoritma Konsensus Terdistribusi Rakit (video)](https://www.youtube.com/watch?v=P9Ydif5_qvE)
+        - [ ] [Kertas yang mudah dibaca](https://raft.github.io/)
+        - [ ] [Infografis](http://thesecretlivesofdata.com/raft/)
+- [ ] [Hashing yang Konsisten](http://www.tom-e-white.com/2007/11/consistent-hashing.html)
+- [ ] [Pola NoSQL](http://horicky.blogspot.com/2009/11/nosql-patterns.html)
 - [ ] Skalabilitas:
-    - [ ] [Great overview (video)](https://www.youtube.com/watch?v=-W9F__D3oY4)
-    - [ ] Short series:
-        - [Clones](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones)
-        - [Database](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database)
-        - [Cache](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache)
-        - [Asynchronism](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism)
-    - [ ] [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html)
-    - [ ] [Fallacies of Distributed Computing Explained](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf)
-    - [ ] [Pragmatic Programming Techniques](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html)
-        - [extra: Google Pregel Graph Processing](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html)
-    - [ ] [Jeff Dean - Building Software Systems At Google and Lessons Learned (video)](https://www.youtube.com/watch?v=modXC5IWTJI)
-    - [ ] [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/)
-    - [ ] [Scaling mobile games to a global audience using App Engine and Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc)
-    - [ ] [How Google Does Planet-Scale Engineering for Planet-Scale Infra (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0)
-    - [ ] [The Importance of Algorithms](https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/)
+    - Anda tidak membutuhkan semua ini. Pilih saja beberapa yang menarik bagi Anda.
+    - [ ] [Tinjauan bagus (video)](https://www.youtube.com/watch?v=-W9F__D3oY4)
+    - [ ] Seri pendek:
+        - [Klon (Clones)](http://www.lecloud.net/post/7295452622/scalability-for-dummies-part-1-clones)
+        - [Database (Database)](http://www.lecloud.net/post/7994751381/scalability-for-dummies-part-2-database)
+        - [Cache (Cache)](http://www.lecloud.net/post/9246290032/scalability-for-dummies-part-3-cache)
+        - [Asinkronisme (Asynchronism)](http://www.lecloud.net/post/9699762917/scalability-for-dummies-part-4-asynchronism)
+    - [ ] [Arsitektur Web yang Skalabel dan Sistem Terdistribusi](http://www.aosabook.org/en/distsys.html)
+    - [ ] [Kekeliruan Komputasi Terdistribusi Dijelaskan](https://pages.cs.wisc.edu/~zuyu/files/fallacies.pdf)
+    - [ ] [Teknik Pemrograman Pragmatis](http://horicky.blogspot.com/2010/10/scalable-system-design-patterns.html)
+        - [ekstra: Pemrosesan Grafik Google Pregel](http://horicky.blogspot.com/2010/07/google-pregel-graph-processing.html)
+    - [ ] [Jeff Dean - Membangun Sistem Perangkat Lunak di Google dan Pelajaran yang Dipetik (video)](https://www.youtube.com/watch?v=modXC5IWTJI)
+    - [ ] [Pengantar Sistem Arsitek untuk Skala](http://lethain.com/introduction-to-architecting-systems-for-scale/)
+    - [ ] [Menskalakan game seluler ke audiens global menggunakan App Engine dan Cloud Datastore (video)](https://www.youtube.com/watch?v=9nWyWwY2Onc)
+    - [ ] [Bagaimana Google Melakukan Rekayasa Skala Planet untuk Infra Skala Planet (video)](https://www.youtube.com/watch?v=H4vMcD7zKM0)
+    - [ ] [Pentingnya Algoritma](https://www.topcoder.com/community/competitive-programming/tutorials/the-importance-of-algorithms/)
     - [ ] [Sharding](http://highscalability.com/blog/2009/8/6/an-unorthodox-approach-to-database-design-the-coming-of-the.html)
-    - [ ] [Scale at Facebook (2009)](https://www.infoq.com/presentations/Scale-at-Facebook)
-    - [ ] [Scale at Facebook (2012), "Building for a Billion Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU)
-    - [ ] [Engineering for the Long Game - Astrid Atkinson Keynote(video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4)
-    - [ ] [7 Years Of YouTube Scalability Lessons In 30 Minutes](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html)
+    - [ ] [Scale at Facebook (2012), "Building for a Million Users" (video)](https://www.youtube.com/watch?v=oodS71YtkGU)
+    - [ ] [Teknik untuk Permainan Panjang - Astrid Atkinson Keynote (video)](https://www.youtube.com/watch?v=p0jGmgIrf_M&list=PLRXxvay_m8gqVlExPC5DG3TGWJTaBgqSA&index=4)
+    - [ ] [7 Tahun Pelajaran Skalabilitas YouTube Dalam 30 Menit](http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html)
         - [video](https://www.youtube.com/watch?v=G-lGCC4KKok)
-    - [ ] [How PayPal Scaled To Billions Of Transactions Daily Using Just 8VMs](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html)
-    - [ ] [How to Remove Duplicates in Large Datasets](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/)
-    - [ ] [A look inside Etsy's scale and engineering culture with Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o)
-    - [ ] [What Led Amazon to its Own Microservices Architecture](http://thenewstack.io/led-amazon-microservices-architecture/)
-    - [ ] [To Compress Or Not To Compress, That Was Uber's Question](https://eng.uber.com/trip-data-squeeze/)
-    - [ ] [Asyncio Tarantool Queue, Get In The Queue](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html)
-    - [ ] [When Should Approximate Query Processing Be Used?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html)
-    - [ ] [Google's Transition From Single Datacenter, To Failover, To A Native Multihomed Architecture]( http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html)
-    - [ ] [Spanner](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html)
-    - [ ] [Egnyte Architecture: Lessons Learned In Building And Scaling A Multi Petabyte Distributed System](http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html)
-    - [ ] [Machine Learning Driven Programming: A New Programming For A New World](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html)
-    - [ ] [The Image Optimization Technology That Serves Millions Of Requests Per Day](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html)
+    - [ ] [Bagaimana PayPal Mengukur Miliaran Transaksi Setiap Hari Hanya Dengan Menggunakan 8VM](http://highscalability.com/blog/2016/8/15/how-paypal-scaled-to-billions-of-transactions-daily-using-ju.html)
+    - [ ] [Cara Menghapus Duplikat dalam Kumpulan Data Besar](https://blog.clevertap.com/how-to-remove-duplicates-in-large-datasets/)
+    - [ ] [Sekilas tentang skala dan budaya teknik Etsy dengan Jon Cowie (video)](https://www.youtube.com/watch?v=3vV4YiqKm1o)
+    - [ ] [Apa yang Membawa Amazon ke Arsitektur Layanan Mikro Sendiri](http://thenewstack.io/led-amazon-microservices-architecture/)
+    - [ ] [Untuk Mengompresi Atau Tidak Mengompresi, Itu Pertanyaan Uber](https://eng.uber.com/trip-data-squeeze/)
+    - [ ] [Asyncio Tarantool Queue, Masuk Antrian](http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html)
+    - [ ] [Kapan Perkiraan Pemrosesan Kueri Digunakan?](http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html)
+    - [ ] [Transisi Google Dari Pusat Data Tunggal, Ke Failover, Ke Arsitektur Native Multihomed](http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html)
+    - [ ] [Kunci pas](http://highscalability.com/blog/2012/9/24/google-spanners-most-surprising-revelation-nosql-is-out-and.html)
+    - [ ] [Pemrograman Didorong Pembelajaran Mesin: Pemrograman Baru Untuk Dunia Baru](http://highscalability.com/blog/2016/7/6/machine-learning-driven-programming-a-new-programming-for-a.html)
+    - [ ] [Teknologi Pengoptimalan Gambar Yang Melayani Jutaan Permintaan Per Hari](http://highscalability.com/blog/2016/6/15/the-image-optimization-technology-that-serves-millions-of-re.html)
     - [ ] [A Patreon Architecture Short](http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html)
-    - [ ] [Tinder: How Does One Of The Largest Recommendation Engines Decide Who You'll See Next?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html)
-    - [ ] [Design Of A Modern Cache](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html)
-    - [ ] [Live Video Streaming At Facebook Scale](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html)
-    - [ ] [A Beginner's Guide To Scaling To 11 Million+ Users On Amazon's AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html)
-    - [ ] [How Does The Use Of Docker Effect Latency?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html)
-    - [ ] [Does AMP Counter An Existential Threat To Google?](http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html)
-    - [ ] [A 360 Degree View Of The Entire Netflix Stack](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html)
-    - [ ] [Latency Is Everywhere And It Costs You Sales - How To Crush It](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
-    - [ ] [Serverless (very long, just need the gist)](http://martinfowler.com/articles/serverless.html)
-    - [ ] [What Powers Instagram: Hundreds of Instances, Dozens of Technologies](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances)
-    - [ ] [Cinchcast Architecture - Producing 1,500 Hours Of Audio Every Day](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html)
-    - [ ] [Justin.Tv's Live Video Broadcasting Architecture](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html)
-    - [ ] [Playfish's Social Gaming Architecture - 50 Million Monthly Users And Growing](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html)
-    - [ ] [TripAdvisor Architecture - 40M Visitors, 200M Dynamic Page Views, 30TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html)
-    - [ ] [PlentyOfFish Architecture](http://highscalability.com/plentyoffish-architecture)
-    - [ ] [Salesforce Architecture - How They Handle 1.3 Billion Transactions A Day](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html)
-    - [ ] [ESPN's Architecture At Scale - Operating At 100,000 Duh Nuh Nuhs Per Second](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html)
-    - [ ] See "Messaging, Serialization, and Queueing Systems" way below for info on some of the technologies that can glue services together
+    - [ ] [Tinder: Bagaimana Salah Satu Mesin Rekomendasi Terbesar Memutuskan Siapa yang Akan Anda Lihat Selanjutnya?](http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html)
+    - [ ] [Desain Cache Modern](http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html)
+    - [ ] [Streaming Video Langsung Pada Skala Facebook](http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html)
+    - [ ] [Panduan Pemula Untuk Menskalakan Lebih dari 11 Juta Pengguna di Amazon AWS](http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html)
+    - [ ] [Bagaimana Penggunaan Latensi Efek Docker?](http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html)
+    - [ ] [Tampilan 360 Derajat Dari Seluruh Tumpukan Netflix](http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html)
+    - [ ] [Latensi Ada Di Mana-Mana Dan Itu Membebani Penjualan Anda - Cara Menghancurkannya](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
+    - [ ] [Serverless (sangat lama, hanya perlu intinya)](http://martinfowler.com/articles/serverless.html)
+    - [ ] [What Powers Instagram: Ratusan Instans, Lusinan Teknologi](http://instagram-engineering.tumblr.com/post/13649370142/what-powers-instagram-hundreds-of-instances)
+    - [ ] [Arsitektur Cinchcast - Menghasilkan 1.500 Jam Audio Setiap Hari](http://highscalability.com/blog/2012/7/16/cinchcast-architecture-producing-1500-hours-of-audio-every-d.html)
+    - [ ] [Arsitektur Penyiaran Video Langsung Justin.Tv](http://highscalability.com/blog/2010/3/16/justintvs-live-video-broadcasting-architecture.html)
+    - [ ] [Arsitektur Permainan Sosial Playfish - 50 Juta Pengguna Bulanan Dan Berkembang](http://highscalability.com/blog/2010/9/21/playfishs-social-gaming-architecture-50-million-monthly-user.html)
+    - [ ] [Arsitektur TripAdvisor - 40 Juta Pengunjung, 200 Juta Tampilan Halaman Dinamis, 30 TB Data](http://highscalability.com/blog/2011/6/27/tripadvisor-architecture-40m-visitors-200m-dynamic-page-view.html)
+    - [ ] [Arsitektur PlentyOfFish](http://highscalability.com/plentyoffish-architecture)
+    - [ ] [Arsitektur Salesforce - Bagaimana Mereka Menangani 1,3 Miliar Transaksi Sehari](http://highscalability.com/blog/2013/9/23/salesforce-architecture-how-they-handle-13-billion-transacti.html)
+    - [ ] [Arsitektur ESPN Dalam Skala - Beroperasi pada 100.000 Duh Nuh Nuhs Per Detik](http://highscalability.com/blog/2013/11/4/espns-architecture-at-scale-operating-at-100000-duh-nuh-nuhs.html)
+    - [ ] Lihat cara "Sistem Perpesanan, Serialisasi, dan Antrean" di bawah ini untuk info tentang beberapa teknologi yang dapat merekatkan layanan
     - [ ] Twitter:
-        - [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI)
-        - [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability)
-    - Untuk informasi lebih lanjut, lihat seri video "Menambang Kumpulan Data Besar-besaran (Mining Massive Datasets)" di bagian Seri Video.
+        - [O'Reilly MySQL CE 2011: Jeremy Cole, "Data Besar dan Kecil di @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI)
+        - [Garis Waktu dalam Skala](https://www.infoq.com/presentations/Twitter-Timeline-Scalability)
+    - Untuk informasi lebih lanjut, lihat serial video "Menambang Kumpulan Data Besar-besaran" di bagian [Seri Video](#seri-video)
 - [ ] Mempraktikkan proses desain sistem: Berikut adalah beberapa ide untuk dicoba di atas kertas, masing-masing dengan beberapa dokumentasi tentang bagaimana hal itu ditangani di dunia nyata:
-    - ulasan: [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
-    - [cheat sheet](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf)
+    - review: [Primer Desain Sistem](https://github.com/donnemartin/system-design-primer)
+    - [Desain Sistem dari HiredInTech](http://www.hiredintech.com/system-design/)
+    - [contekan (cheat sheet)](https://github.com/jwasham/coding-interview-university/blob/master/extras/cheat%20sheets/system-design.pdf)
     - aliran:
         1. Pahami masalah dan cakupannya:
-            - tentukan kasus penggunaan, dengan bantuan pewawancara
-            - menyarankan fitur tambahan
-            - hapus item yang dianggap pewawancara di luar jangkauan
-            - asumsikan ketersediaan tinggi diperlukan, tambahkan sebagai kasus penggunaan
+            - Tentukan kasus penggunaan, dengan bantuan pewawancara
+            - Sarankan fitur tambahan
+            - Hapus item yang dianggap pewawancara di luar jangkauan
+            - Asumsikan ketersediaan tinggi diperlukan, tambahkan sebagai kasus penggunaan
         2. Pikirkan tentang kendala:
-            - tanyakan berapa permintaan per bulan
-            - tanyakan berapa banyak permintaan per detik (mereka mungkin mengajukannya secara sukarela atau meminta Anda menghitungnya)
-            - memperkirakan persentase membaca vs menulis
-            - ingat aturan 80/20 saat membuat estimasi
-            - berapa banyak data yang ditulis per detik
-            - total penyimpanan yang dibutuhkan selama 5 tahun
-            - berapa banyak data yang dibaca per detik
+            - Tanyakan berapa banyak permintaan per bulan
+            - Tanyakan berapa banyak permintaan per detik (mereka mungkin menawarkannya secara sukarela atau meminta Anda menghitungnya)
+            - Perkirakan persentase membaca vs. menulis
+            - Ingat aturan 80/20 saat memperkirakan
+            - Berapa banyak data yang ditulis per detik
+            - Total penyimpanan yang dibutuhkan selama 5 tahun
+            - Berapa banyak data yang dibaca per detik
         3. Desain abstrak:
-            - lapisan (layanan, data, caching)
-            - infrastruktur: load balancing, perpesanan
-            - gambaran kasar dari setiap algoritma kunci yang menggerakkan layanan
-            - pertimbangkan kemacetan dan tentukan solusinya
-    - Exercises:
-        - [Design a CDN network: old article](http://repository.cmu.edu/cgi/viewcontent.cgi?article=2112&context=compsci)
-        - [Design a random unique ID generation system](https://blog.twitter.com/2010/announcing-snowflake)
-        - [Design an online multiplayer card game](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html)
-        - [Design a key-value database](http://www.slideshare.net/dvirsky/introduction-to-redis)
-        - [Design a picture sharing system](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html)
-        - [Design a recommendation system](http://ijcai13.org/files/tutorial_slides/td3.pdf)
-        - [Design a URL-shortener system: copied from above](http://www.hiredintech.com/system-design/the-system-design-process/)
-        - [Design a cache system](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/)
+            - Lapisan (layanan, data, caching)
+            - Infrastruktur: load balancing, perpesanan
+            - Gambaran kasar tentang algoritme kunci apa pun yang menggerakkan layanan
+            - Pertimbangkan kemacetan dan tentukan solusinya
+    - Latihan:
+        - [Desain jaringan CDN: artikel lama](https://kilthub.cmu.edu/articles/Globally_distributed_content_delivery/6605972)
+        - [Rancang sistem pembuatan ID unik secara acak](https://blog.twitter.com/2010/announcing-snowflake)
+        - [Rancang permainan kartu multipemain daring](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html)
+        - [Mendesain database nilai kunci](http://www.slideshare.net/dvirsky/introduction-to-redis)
+        - [Rancang sistem berbagi gambar](http://highscalability.com/blog/2011/12/6/instagram-architecture-14-million-users-terabytes-of-photos.html)
+        - [Rancang sistem rekomendasi](http://ijcai13.org/files/tutorial_slides/td3.pdf)
+        - [Rancang sistem penyingkat URL: disalin dari atas](http://www.hiredintech.com/system-design/the-system-design-process/)
+        - [Rancang sistem cache](https://www.adayinthelifeof.nl/2011/02/06/memcache-internals/)
 
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