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XinYe
2 weeks, 1 day ago
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2024 will be the year when artificial intelligence applications explode. Artificial intelligence-related applications such as autonomous driving, AI maps, and intelligent customer service are springing up like mushrooms after a rain, penetrating into every corner of our lives. However, behind these cool applications lies the difficult problem of data processing. Traditional big data technologies, such as Hadoop, Spark, Flink, etc., can no longer keep up with the pace of the AI era. The system is highly complex, each component requires specialized management, data replication is cumbersome, and resource scheduling is not smart enough, making people always worried about data explosion.
Just when the author was having a headache, Tencent Cloud's new product launch conference brought light - the new data intelligence platform tc house-X can make the integration of data and AI simple and efficient. Next, let’s take a closer look at the innovations of tc house-X.
1. Simplify the structure and improve efficiency
In traditional data processing, data needs to be copied back and forth between databases, data lakes, data warehouses, and machine learning platforms. Different processing methods also need to correspond to different open source components, such as Hadoop and Spark for batch processing, and Spark Streaming and Flink for stream processing. Interactive queries use Crystal, Doris, etc., which makes enterprise development and maintenance costs high and the data system extremely complex.
tc house-X can support multiple business loads based on one piece of data, effectively simplifying big data or data platform architecture and improving data analysis efficiency. It uses the same data for storage and calculation, has a simpler architecture, lower costs, and easier operation and maintenance management.
2. Flexible and intelligent scaling
- Coping with sudden traffic : Take e-commerce platforms as an example. When the platform experiences traffic peaks due to events or live broadcasts, if the resources cannot keep up, the user experience will be greatly reduced, and even the business will be affected. The intelligent expansion capability of tc house-X can sense load changes in real time, automatically pull up more computing resources, and expand capacity in seconds to ensure that traffic is not lost.
- Optimize resource allocation : Many companies have batch tasks that run at night. Traditional platforms require resources to be allocated in advance, leaving them idle during the day, resulting in waste. TC House-
- Handling extreme queries : If a colleague writes an incorrect SQL statement, causing the query volume to soar and causing system paralysis, the AI intelligent scaling system inside tc house-X can truly achieve this through the AI module, whether it is increasing resource calculations or blocking and ignoring queries. Reduce costs and increase efficiency.
3. Ultimate performance, breakthrough pain points
- Self-developed engine optimization : tc house-X has a self-developed engine that performs in-depth optimization in the three dimensions of storage, computing, and network. In the past, querying a large report might take around 100 seconds. After using this platform, the query speed can be shortened to a few seconds, and the efficiency is improved nearly ten times.
- Storage and computing separation architecture : Traditional data platforms bundle storage and computing. When the amount of data increases, storage costs and computing resource requirements increase simultaneously, resulting in lower cost performance. tc house-X adopts a storage and computing separation architecture, which is completely decoupled and can allocate resources on demand. Data storage expansion is flexible and low-cost, and computing resources can be automatically pulled up according to tasks, making it more efficient. Official test results show that its overall cost-effectiveness for offline batch processing is improved by about ten times, and enterprise-level storage and computing costs can be saved by up to 50%.
- Supports incremental calculations : For example, when calculating monthly sales, all past data need to be calculated each time. However, tc house——
If you also want to experience the charm of tc house-X for yourself, you might as well go to Tencent Cloud’s official website to try it. Whether you are an enterprise developer, data analyst or AI application team, it can help you solve data and AI processing problems easily, allowing you to spend less time doing cooler things. If you have any questions about tc house-X or encounter troubles in data processing, please feel free to communicate with everyone in the comment area or barrage.
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