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Laptop configurations designed specifically for big data

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Release: 2024-01-29 19:33:31
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What computer configuration is needed to study data science and big data?

1. CPU: It is recommended to use a multi-core processor, such as Intel Xeon or AMD Opteron, preferably with a high-frequency core. Memory: At least 16GB of memory is required. It is recommended to use ECC (Error-correcting code) memory to improve data accuracy and reliability.

2. Choose according to your financial strength: Lenovo ThinkPad, HP, Asus, Dell (DELL) and other big brands. In terms of configuration: memory first, solid state drive second, and CPU last.

3. Optical drive: Nowadays, if you buy a thin and light version of a computer, the optical drive is rarely used.

4. Java, front-end computer configuration: processor i5 or above, memory 8G or above (16G recommended), hard disk 256G or above, solid state drive is best, 64-bit Window system.

What configurations do computer professionals need to buy a laptop?

1. Configuration recommendations: CPU should be 4 cores and 8 threads or more, memory should be 8-16G, hard disk should be more than 1TB. If the budget is sufficient, it is recommended to choose a laptop with Laptops with independent graphics cards have higher performance.

大数据专业笔记本电脑配置(大数据专业笔记本电脑配置选锐龙还是酷睿)  第1张

#2. Choose according to your financial strength: Lenovo ThinkPad, HP, Asus, Dell (DELL) and other big brands. In terms of configuration: memory first, solid state drive second, and CPU last.

3. Students majoring in computer science need to buy a laptop with a good processor and graphics card to meet their computer learning needs. It is recommended that you buy a notebook with mainstream configurations. Among the notebooks with mainstream configurations, Lenovo’s Y460 series notebooks are the best.

4. In principle, computer science departments should give priority to performance, so the best solution is actually a high-performance desktop computer plus a thin and light laptop. It is completely achievable under the premise that the total price remains unchanged at 8,000. However, it is actually necessary to examine the specific conditions of the school dormitory, such as desk area, total power supply, power supply time, etc.

5. Lenovo savior. Students majoring in computer science have very high requirements for laptop hardware configuration when using laptops, so I prefer gaming laptops. There are many brands of gaming laptops, and the Lenovo Rescuer is also a very good series of gaming laptops.

6. Brand: When buying a laptop, it’s best not to just look for cheapness or high specifications. Brand guarantee is meaningful when purchasing, because companies with a good brand image usually make large investments in technology and maintenance services, and this is reflected in the price of the product.

What configurations do I need to buy a laptop for a computer major?

1. What configuration of laptop should I use for a computer major? In fact, the requirements for a laptop suitable for computer majors are not high. You only need to buy a processor and graphics card performance. A relatively good notebook can meet the needs of learning computers.

2. Huawei MateBook D 152022 Huawei MateBook D 15 is equipped with AMD Ryzen 5 5500U processor and AMD Radeon Graphics independent graphics card, with excellent performance.

3. Choose according to your financial strength: Lenovo ThinkPad, HP, Asus, Dell (DELL) and other big brands. In terms of configuration: memory first, solid state drive second, and CPU last.

How to configure a computer that specializes in big data technology and applications

The disadvantage is that the 16GB memory cannot be expanded, so you need to pay attention. In general, gaming notebooks such as the Savior r7000 and Shadow Elf 7 are definitely more than enough for big data professionals, enough to last you until graduation. If you pay more attention to thinness and lightness, and don’t have particularly high demand for 32GB, the same goes for the Xiaoxin pro16 Very good choice.

Optical disc drive: Currently popular with DVD-RW (DVD burning). From a usage and economic perspective. Pay attention to the stability of the optical drive reading the disk, the sound of the disk reading, the error correction ability when reading the disk, the speed of the optical drive, etc.

If the storage space is not enough, you can replace it with a 1T or 2T solid-state drive in the future, and then pull out the one inside the machine to use it as an external solid-state drive.

Easy to carry and excellent overall battery life. CPU: All processors have a model number. The latest CPU performance ladder diagrams are available online. You can know the CPU configuration based on the sequence of the ladder diagram. For notebooks that handle big data, it is recommended to choose models such as R5 and i5 or above. Simply judge the configuration formula: the more cores and threads, the better.

To learn big data technology, it is recommended to buy a computer worth about 4,000 yuan - notebook

1. Asus Wuwei 15 Evaluation: Asus is one of the well-known old computer manufacturers. ASUS Intrepid15 uses Intel processor, the processor model is i5-1240P, 12-core processor, 16 threads. Basically it uses the best CPU in this price range, 16GB memory, 512GB solid state drive, and is equipped with a 16-inch 1080P eye-protecting anti-glare screen.

2. Recommend Dell Inspiron 13Pro. Dell’s Inspiron 13Pro laptop is more suitable for office and study use. It uses an integrated graphics card design, and the body design is also relatively thin and light, so it can be easily put into a bag. It's totally OK inside.

3. Take a look at ASUS VivoBook15 VivoBook15 X has excellent portability, allowing you to carry it with you without feeling heavy.

4. With the blessing of alien technology genes, AWCC makes the game notebook full of soul. The industrial design is full of fighting passion and the internal heat dissipation is more efficient. If you want to buy a cost-effective and high-quality laptop, it is recommended to choose the Dell Game Box G15 12th Generation Intel Edition.

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