Udemy - Preparing for the System Design Interviews V2 - End to End

seeders: 6
leechers: 3
updated:

Download Fast Safe Anonymous
movies, software, shows...

Files

[ TutGator.com ] Udemy - Preparing for the System Design Interviews V2 - End to End
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. System Design Key Topics
    • 1. Introduction.html (1.4 KB)
    • 10. Building the front end layer (UI).mp4 (38.7 MB)
    • 11. Additional Resources - New.html (1.8 KB)
    • 2. What is a system design interview and why it is important.mp4 (23.6 MB)
    • 2.1 1_WhySystemDesignIntv.pptx (1.2 MB)
    • 3. Basics for System Design Interviews ( Upgraded Video Coming Soon ).mp4 (218.7 MB)
    • 4. Sample Application - Code Walkthrough (Demo) - NEW.mp4 (59.4 MB)
    • 5. CAP Theorem - (New Video).mp4 (24.5 MB)
    • 6. Handling your DATA.mp4 (150.4 MB)
    • 7. Transaction on Data.mp4 (37.7 MB)
    • 8. What goes in the Middleware layer .mp4 (72.0 MB)
    • 9. Building the middleware layer using MicroServices..mp4 (51.1 MB)
    10. Case Study - Design a recommendation Engine (Upgraded Videos in Progress)
    • 1. Introduction - Problem Description.mp4 (1.4 MB)
    • 10. Implementation and Code.mp4 (29.9 MB)
    • 11. Problem with this Approach.mp4 (1.8 MB)
    • 12. Important point for this case study.mp4 (7.8 MB)
    • 13. Content Based recommendation.mp4 (23.8 MB)
    • 14. Content Based recommendation - implementation.mp4 (38.3 MB)
    • 15. Collaborative Filtering.mp4 (7.7 MB)
    • 16. Collaborative filtering approach in short.mp4 (9.9 MB)
    • 2. Understanding the Problem.mp4 (12.0 MB)
    • 3. Why relational db's are not suited for this kind of problem .mp4 (16.5 MB)
    • 4. What is a recommendation system and its requirements..mp4 (4.8 MB)
    • 5. Requirements.mp4 (23.2 MB)
    • 6. HLD.mp4 (9.2 MB)
    • 7. Data Ingestion Layer.mp4 (24.8 MB)
    • 8. Analytics Engine and Approach 1.mp4 (6.8 MB)
    • 9. Market Basket Analysis - Apriori Algorithm.mp4 (48.1 MB)
    11. Design an AutoComplete feature like Google Suggest (Upgraded Video in Progress)
    • 1. Introduction.mp4 (3.4 MB)
    • 10. Storing the TRIE in Cache.mp4 (31.3 MB)
    • 11. Storing words using big data technologies and finding the word frequencies.mp4 (21.1 MB)
    • 12. Building the TRIE.mp4 (23.6 MB)
    • 13. Disadvantages of this Approach.mp4 (9.2 MB)
    • 2. Requirements and Assumptions.mp4 (17.9 MB)
    • 3. Back of Envelope Calculations.mp4 (12.2 MB)
    • 4. HLD.mp4 (44.3 MB)
    • 5. Sample Data.mp4 (5.1 MB)
    • 6. API Design.mp4 (7.7 MB)
    • 7. Building the Rest services of the API.mp4 (7.4 MB)
    • 8. Low Level Design.mp4 (19.9 MB)
    • 9. More on low level design.mp4 (8.8 MB)
    2. Load Balancing
    • 1. Introduction.mp4 (6.3 MB)
    • 2. Where can a load balancer be placed in a system .mp4 (12.2 MB)
    • 3. Types of Load balancers.mp4 (43.9 MB)
    • 4. Load Balancing Strategies and Load Types.mp4 (20.2 MB)
    3. Caching
    • 1. Introduction.mp4 (1.6 MB)
    • 2. Caching.mp4 (11.6 MB)
    • 3. Types of Cache.mp4 (31.4 MB)
    • 4. Updating data in cache.mp4 (13.0 MB)
    • 5. Cache Eviction.mp4 (17.8 MB)
    4. Caching Usage - Building a Feed - Application Demo
    • 1. Introduction.mp4 (989.6 KB)
    • 2. Feed Application Using Cache Servers.mp4 (12.7 MB)
    • 3. Architecture and Flow of the Sample Application.mp4 (18.1 MB)
    • 4. Demo.mp4 (59.5 MB)
    • 4.2 readme.pd (0.3 KB)
    • PatientDashboard
      • PatientDashboard.iml (11.4 KB)
      • gitignore (0.4 KB)
      • idea
        • compiler.xml (0.8 KB)
        • encodings.xml (0.2 KB)
        • libraries
          • Maven__ca_uhn_hapi_fhir_hapi_fhir_base_3_1_0.xml (0.6 KB)
          • Maven__ca_uhn_hapi_fhir_hapi_fhir_client_3_1_0.xml (0.6 KB)
          • Maven__ca_uhn_hapi_fhir_hapi_fhir_structures_dstu3_3_1_0.xml (0.6 KB)
          • Maven__ca_uhn_hapi_fhir_hapi_fhir_utilities_3_1_0.xml (0.6 KB)
          • Maven__ch_qos_logback_logback_classic_1_2_3.xml (0.6 KB)
          • Maven__ch_qos_logback_logback_core_1_2_3.xml (0.5 KB)
          • Maven__com_fasterxml_jackson_core_jackson_annotations_2_11_2.xml (0.6 KB)
          • Maven__com_fasterxml_jackson_core_jackson_core_2_11_2.xml (0.6 KB)
          • Maven__com_fasterxml_jackson_core_jackson_databind_2_11_2.xml (0.6 KB)
          • Maven__com_fasterxml_jackson_datatype_jackson_datatype_jdk8_2_11_2.xml (0.7 KB)
          • Maven__com_fasterxml_jackson_datatype_jackson_datatype_jsr310_2_11_2.xml (0.7 KB)
          • Maven__com_fasterxml_jackson_module_jackson_module_parameter_names_2_11_2.xml (0.7 KB)
          • Maven__com_google_code_gson_gson_2_8_6.xml (0.5 KB)
          • Maven__com_googlecode_json_simple_json_simple_1_1_1.xml (0.6 KB)
          • Maven__com_jayway_jsonpath_json_path_2_4_0.xml (0.5 KB)
          • Maven__com_vaadin_external_google_android_json_0_0_20131108_vaadin1.xml (0.7 KB)
          • Maven__commons_codec_commons_codec_1_14.xml (0.5 KB)
          • Maven__commons_io_commons_io_2_5.xml (0.5 KB)
          • Maven__jakarta_activation_jakarta_activation_api_1_2_2.xml (0.6 KB)
          • Maven__jakarta_annotation_jakarta_annotation_api_1_3_5.xml (0.6 KB)
          • Maven__jakarta_xml_bind_jakarta_xml_bind_api_2_3_3.xml (0.6 KB)
          • Maven__junit_junit_4_13.xml (0.4 KB)
          • Maven__net_bytebuddy_byte_buddy_1_10_14.xml (0.5 KB)
          • Maven__net_bytebuddy_byte_buddy_agent_1_10_14.xml (0.6 KB)
          • Maven__net_minidev_accessors_smart_1_2.xml (0.5 KB)
          • Maven__net_minidev_json_smart_2_3.xml (0.5 KB)
          • Maven__org_apache_commons_commons_lang3_3_10.xml (0.5 KB)
          • Maven__org_apache_commons_commons_pool2_2_8_1.xml (0.6 KB)
          • Maven__org_apache_httpcomponents_httpclient_4_5_12.xml (0.6 KB)
          • Maven__org_apache_httpcomponents_httpcore_4_4_13.xml (0.6 KB)
          • Maven__org_apache_logging_log4j_log4j_api_2_13_3.xml (0.6 KB)
          • Maven__org_apache_logging_log4j_log4j_to_slf4j_2_13_3.xml (0.6 KB)
          • Maven__org_apache_tomcat_embed_tomcat_embed_core_9_0_38.xml (0.6 KB)
          • Maven__org_apache_tomcat_embed_tomcat_embed_websocket_9_0_38.xml (0.6 KB)
          • Maven__org_apiguardian_apiguardian_a

Description

Preparing for the System Design Interviews V2 - End to End



https://TutGator.com

Last updated 9/2021
Duration: 6h 20m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.96 GB
Genre: eLearning | Language: English
Complete Course on Cracking the system design interviews in top tech firms - Theory, Design, s and Code

What you'll learn:
Students will learn complex concepts on system design, scaling, distributed computing, algorithms, case studies as well as learn to code some of these.
Student will learn about low level design, high level design, architecture patterns, approaches. How to design different types of systems e.g. web sites, algorithm based, event based or purely data centric.
Students will learn using s, real code to build sample apps similar to the case studies. This will help them to understand topics in depth.
Create an ecommerce app and scale it to millions of users (Sample Question)
How would you create an ecommerce store using MicroServices ?
Build a ticketing server that can generate unique ids for every email that you get in your inbox or every video that gets uploaded to youtube ?
Build your own garbage collector ?
How would you go about creating a recommendation engine ?

Requirements:
Good computer science knowledge and coding skills. The course will provide end to end information on various topics
We have built s for key topics and case studies and are sharing the code in this course. If the student wants they can change the code and use it for their learning purpose.

Description:
[September 2021 Update]: We are working on new case studies and code for existing case studies.
Note: Only course that includes actual code with System Design case studies.
System design interviews are very common in big software firms. They are different from coding interviews or data structure and algorithm interviews but can be harder. They require a broad set of knowledge. Almost all the top software companies, be it google, amazon, uber have one or two rounds of system design interviews. After clearing the data structures and algorithm interviews if you do well in these system design interviews you can expect a very good offer from these firms.
This is a course to help students to prepare for system design interviews. Using this you will learn system design by seeing s, building software, understanding complex topics. It is both a theory and code along course with real world case studies and s to give you in-depth knowledge rather than learning few case studies that might or might not come in an interview.
It is an actively developed course with the aim to impart correct and good knowledge on building large scale systems. Aim is to get the student ready for a system design interview even when they have not faced a similar case study before.
Some sample questions for system design interviews :
1. How would you go about designing an e-commerce website at scale ?
2. How would you go about designing the e-commerce website using microservices, how will you handle transactions ?
3. Design a chat messenger application like any famous chat messenger you have used ?
4. Create an autocomplete feature like word suggestions on search engines ? Scale it to millions of users ?
5. How would you go about creating a feed postings in a social network ? ( - Similar Patient Feed in Course with Code)
6. How would you build a large scale machine learning backend system to generate video recommendations like on Netflix ?
7. How would you build a mobile app to track your day to day health, exercise routine and sleep patterns and give you recommendations based on the stats recorded ?
8. How would you build your own CDN ?
-----------------------------------------------------------------------------------------------
TOP REVIEWS :
Sid Hicks
Rating: 5.0 out of 55 months ago
The amount of information delivered in this course is amazing. Thank you for organizing into chunks. This makes it easy to understand. Well Done!
Rohit Dhawan
Rating: 4.5 out of 58 months ago
I also went through the grokking the system design, which is mostly a reading material and the steps are the same as the ones covered here. For max bang of bucks, learning and understanding, I liked this one over the other one.



Download torrent
2 GB
seeders:6
leechers:3
Udemy - Preparing for the System Design Interviews V2 - End to End


Trackers

tracker name
udp://tracker.torrent.eu.org:451/announce
udp://tracker.tiny-vps.com:6969/announce
http://tracker.foreverpirates.co:80/announce
udp://tracker.cyberia.is:6969/announce
udp://exodus.desync.com:6969/announce
udp://explodie.org:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://9.rarbg.to:2780/announce
udp://tracker.internetwarriors.net:1337/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://open.stealth.si:80/announce
udp://9.rarbg.to:2900/announce
udp://9.rarbg.me:2720/announce
udp://opentor.org:2710/announce
µTorrent compatible trackers list

Download torrent
2 GB
seeders:6
leechers:3
Udemy - Preparing for the System Design Interviews V2 - End to End


Torrent hash: 3E394EC952E25C458E161AC07837425A2FD9E76C