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 »
With the release of the new version, attentive users have probably noticed that CnosDB 2.0 now fully supports Arrow Flight SQL. It’s user-friendly and efficient, making data access no longer a challenge! Arrow Flight SQL enables CnosDB 2.0 to achieve sub-second response times for queries on billions of rows of data. This article provides a …
Conquering Inaccessible Databases? CnosDB to the Rescue! Dive into 100,000 Lines of Source Code with Ease! Many members of our community have been curious about CnosDB and where to begin reading its source code. This question was discussed during a previous CnosDB HiTea livestream, and today we’ll revisit the topic. The CnosDB source code can …
Dive into CnosDB 100,000 Lines of Source Code with Ease Read More »
Databricks, a leading super unicorn company, is revolutionizing the way businesses leverage data. With the explosive growth of internet data, data has become a new type of resource for businesses, as valuable as oil. More companies are looking to leverage various structured and unstructured data to gain a competitive edge. However, they are facing challenges such as complex legacy infrastructure, resolving data silos, and managing high latency. Consequently, the demand for data lakes has been steadily increasing. A data lake is a storage repository that ingests vast amounts of raw data in its native format, enabling enterprises to easily access them when needed. Databricks is currently a super unicorn company in the primary market. It helps businesses prepare data for analysis, supports the adoption of machine learning, and enables data-driven decision-making. It also empowers data scientists to collaborate with data engineers and other …
Data practitioners often jump between various tools, and this fragmentation leads to problems in collaboration, sharing, and productivity. The increase in enterprise cloud data volumes and the emergence of data transformation, model building, and visualization tools have driven the rise of modern data stacks. Most companies are increasing their investment in data teams to adapt …
Hex Tech: The Crisis and Opportunity of a Programming-enabled BI Platform Read More »
The cloud-native time-series database CnosDB has introduced the sqllogictest integration framework. By integrating sqllogictest into CnosDB, developers can more easily test and verify the correctness of the database, and quickly discover and solve potential issues. This new integration has significant implications for CnosDB, providing developers with more efficient and reliable testing tools. CnosDB also becomes …
Why does DeepL dare to claim to be the “world’s most accurate translator”? DeepL: The Fast Expansion Path of a Slow Company Language is the carrier passed down from generation to generation in human civilization. As the saying goes, “Ten miles of different sounds, five miles of different tones”, language also tells the story of …
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Gartner has predicted that by 2025, 80% of organizations seeking to expand their digital businesses will fail because they have not adopted modern approaches to data and analytics governance. The data ecosystem is the most important part of the infrastructure ecosystem, and the processing, distribution, and computation of data throughout the data circulation ecosystem are …
Modern industrial production is advancing vigorously towards large-scale, high-speed, and intelligent direction. As productivity and intelligence gradually improve, major manufacturers are increasingly demanding safety and reliability of their mechanical equipment, especially for some large rotating machinery such as electric motors, fan units, hydraulic pumping stations, and so on. They have become key equipment in modern …
CnosDB Assists Paifang Technology in Predictive Maintenance of Rotating Machinery Read More »
CnosDB is a high-performance time-series database based on a distributed architecture. TensorFlow, on the other hand, is one of the most popular deep learning frameworks for prediction. In this article, you will learn how to use time-series data for prediction, specifically using CnosDB and TensorFlow. Due to the autocorrelation of time-series data, many data science …
Using CnosDB and TensorFlow for Time Series Prediction Read More »
