Alibaba 2020 internal full technology stack PPT summary (basic + architecture + algorithm + big data + manual)

I only take screenshots and do not speak, PPT complete, atmosphere research and development, algorithms, big data, Java back-end architecture! In addition to the familiar transaction and payment scenarios, the "super project" supporting Ali's Double Eleven transactions of 168.2 billion yuan actually includes the following but not limited to customer service, search, recommendation, advertising, inventory, logistics, cloud computing, etc.

Java core technology stack: covers a large number of knowledge points such as JVM, locks, concurrency, Java reflection, Spring principles, microservices, Zookeeper, databases, data structures, etc.

Big data: Spark, Hadoop

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

A list of some screenshots of the R&D chapter, thank you for sharing

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

List of some screenshots of the algorithm chapter, directly go to the catalog

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Large collection of machine algorithms

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

There are many more PPT contents! Cover all of Alibaba's technology stack!

The old rules are still the same. Just leave a comment, like, forward and follow, and then click to get the learning materials mentioned in the article. Interview document, I hope it can help you  to take it away!

Alibaba Development Manual 1.4.0 (Ultimate Edition)

  1. Programming protocol
  2. Exception log
  3. unit test
  4. Security Protocol
  5. MySQL database
  6. Engineering structure

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Spark Big Data Analysis Actual Combat-PDF

  1. Introduction to Spark
  2. Spark development and environment configuration
  3. program
  4. Introduction to BDAS
  5. Lam da architecture log analysis pipeline
  6. Recommendation system based on cloud platform and user logs
  7. Twi tter sentiment analysis
  8. Hot News Analysis System
  9. Build a distributed collaborative filtering recommendation system
  10. Social network analysis based on Sp ar
  11. Large-scale news topic analysis based on Spar
  12. Build a distributed search engine

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Java core knowledge PDF

  1. JVM
  2. JAVA collection
  3. JAVA multithreaded concurrency
  4. JAVA basics
  5. Spring principle
  6. Microservice
  7. Netty与RPC
  8. The internet
  9. Log
  10. Zookeeper
  11. Kafka
  12. Rabbi tMQ
  13. Hbase
  14. MongoDB
  15. Cassandra
  16. Design Patterns
  17. Load balancing
  18. database
  19. Consensus algorithm
  20. JAVA algorithm
  21. data structure
  22. Encryption Algorithm
  23. Distributed cache
  24. Hadoop
  25. Spark
  26. Storm
  27. YARN
  28. Machine learning
  29. cloud computing

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

Inside Alibaba: 2020 full technology stack PPT sharing (architecture + algorithm + big data)

 

The old rules are still the same. Just leave a comment, like, forward and follow, and then click to get the learning materials mentioned in the article. Interview document, I hope it can help you !

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Origin blog.csdn.net/weixin_45132238/article/details/109599844