This article explains the definition of Public Cloud, Private Cloud, and Hybrid Cloud. And the difference among them.
Bài viết này hướng dẫn kết nối S3 Browser với Alibaba Cloud Edge Object Service (EOS)
This essay will instruct how to connect S3 Browser with Alibaba Cloud Edge Object Service (EOS)
Part 27 of this series discusses distributed systems in terms of throughput and latency.
Part 26 of this series introduces HBase and explains how it applies to random or range queries of massive data and how it can maintain multiple versions of data.
Part 25 of this series introduces Apache Kylin and its concept of “space for time.”
This article describes the key benefits and features of Alibaba Cloud Tablestore, and explains how it can be used to meet business needs.
Apart from these, OSS has a stable version of cold archive and deep cold archive file storages which is used for maintaining very long time dormant file storage.
Part 24 of this series introduces massive parallel processing (MPP) and how it relates to the exploration of system extensibility
Part 23 of this series explains why Offline data warehouses based on Hive and real-time data warehouses based on Kafka + Flink make it easy to distribute data warehouses.
Part 22 of this series discusses whether there is a more flexible method to optimize SQL query performance than CBO.
Part 21 of this series focuses on why there is a CBO and how it is implemented.
Part 20 of this series discusses another important SQL optimization method: rule-based optimization (RBO).
Part 19 of this series discusses SQL performance optimization.
Part 18 of this series explains how to improve application development efficiency on distributed systems.
Part 17 of this series introduces several possible Shuffle methods and their adoption in MapReduce and Spark.
Bài viết này hướng dẫn cách Tạo một OSS Bucket
Part 16 of this series discusses problems with slaves' performance and MapReduce and whether there is room for improvement.
Inconsistency is so protruding, and we have tried every means to solve it. We want high availability under scalability.
Part 15 of this series shows that distributed systems are not completely distributed, typical solutions to centralization problems, and the performance problems of masters.
