What is the most lucrative industry on earth — oil, gas or arms? The answer is none of the above. These industries are not the most profitable industries. The correct answer is tobacco. Today, at least 1/4 of the world’s people smoke, and cigarettes have become the ‘New currency’ of the world. The cost of …
The Application of Time-series Database in Tabacco Manufacture Read More »
By using SQLancer, CnosDB technical team not only finds and fixes logical errors in product queries, and helps upstream projects build more stable query engines. CnosDB now becomes the first cloud-native time-series database that supports SQLancer.
Recently, Jesse has also been learning and expanding his knowledge, and saw an article on “Data Pre-processing of Ship Risk Management System based on TSDB” in the journal “China Ship Repair”, so this issue also wants to use this article as a basis to talk to you briefly about the application of TSDB in the field of ship risk management.
On May 14, 2022, the maiden flight test of the first domestic C919 large aircraft that will be delivered to China Eastern Airlines was successfully completed, and the Chinese dream of hitting the airplane for many years went one step further. In fact, it is very important to conduct flight tests and collect flight data before the aircraft is delivered for use, so in this issue Jesse would like to talk about the application of timing database in civil aircraft test flights.
Hello everyone, Jesse has been a bit busy lately, sorry for not updating our public issue in time. This week we will continue to talk to you about the application of timing database, this week we talk about the application of TSDB in cigarette factory.
Did the community follow the CCF-CnosDB forum on May 11, 2022, where a civil engineering professor reported on the use of time-series data in bridge monitoring, and in this issue we will continue to talk about the application of time-series databases in the field of bridge monitoring.
Dear friends, in this issue, we will continue to talk about the application of time series database and the application of TSDB in the field of smart electricity consumption.
Recently, some friends asked “Jesse, why you start to participate in TSDB at this moment? Is this a good timing?” Good question–because no matter how smart an individual is, he or she is still no match for a team; and no matter how good a team is, it still needs to follow the trend. Actually, we’ve been thinking about “Why Now”, so let’s just talk about it.
Hello, after Prof. Wang Hongzhi’s introduction to the frontier field of database in the last issue, I wonder if you have a deeper understanding of the database field, let’s return to the Time Series Database in this issue and talk about the application of Time Series Database in the field of hydropower plant.
Now that the database management system changes everyday, we are very honored to invite Professor WANG Hongzhi to conduct an analysis of the future trend of the database management system development.
