STRATEGIC ALIGNMENT OF THE TECHNICAL ARCHITECTURE BASED ON THE DDD IDEA
1. brief description of the case the epidemic in 2020 has a particularly large impact on the tourism industry, the company level has made.
gracefully manage multiple services within a process
preface in the go-zero community, students often ask, is it okay to put and in the same process? how to do it? sometimes, there.
explain in detail the difference between offline and real-time digital warehouses
At the beginning of the 21st century, with the advent of the Internet era, the amount of data has soared, and the era of.
TAKE YOU TO UNDERSTAND WHAT DHCP IS AND WHY USE DHCP?
preface Dynamic Host Configuration Protocol DHCP (Dynamic Host Configuration Protocol) is a network management protocol that is used to centrally manage and configure the.
log middle desk is not heavy and does not lose the implementation of a brief discussion
introduction: the life cycle of log data includes log collection, access, transmission, application and other links. the stability of data has a crucial impact.
the directory of vulnerability mining traverses vulnerabilities
full grasp of directory traversal vulnerabilities from 0 to 1 0x01 what is a directory traversal vulnerability the directory traversal vulnerability is due to.
Illustration of the message caching model for Kafka producers
before reading this article, i hope you can think about the following questions, and reading the article with questions will get better results. When.
The difference between Spark and Flink architectures
Flink vs Spark comparison As we learned, we learned that both Spark and Flink support batch and stream processing, so let’s compare the two.
the exploration and practice of several stacks on the integration of lakes and warehouses
guide: in the development process of big data technology, after the data warehouse and data lake, another innovative technology of the big data platform-.
SEVERAL WAREHOUSE CONSTRUCTION | ODS, DWD, DWM AND OTHER THEORETICAL PRACTICES
in the process of construction, the organization and management of data should not only be divided vertically according to the business, but also require.