What are the most successful games of all time?

Date:2023-01-07
1. Tetris 2. Minecraft 3. Grand Theft Auto V 4. Wii Sports 5. Super Mario Bros. 6. Mario Kart Wii 7. The Sims 8. Pac-Man 9. PlayerUnknown's Battlegrounds (PUBG) 10. Diablo III
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Who dominates the smartphone market?

The Android operating system currently dominates the global smartphone market, with a market share of 88%. It is followed by Apple's iOS platform, with a market share of 12%.

How to perform analysis on big data?

1. Develop a data acquisition strategy: Before attempting any analyses of big data, you must first decide how to acquire the data. You should consider the size of the data, the necessary skills and resources it may require you to acquire the data, and any potential privacy or security concerns you must address in the process. 2. Prepare data for analysis: Once you have acquired the data, you must then prepare it for analysis. This includes ensuring data quality and structure, as well as developing or selecting an appropriate algorithm or methodology to apply to the data. 3. Design an analysis workflow: To successfully analyze big data, it is important to plan how the data will be processed and the analyses to be performed. Defining a clear workflow for analyzing the data can help ensure the accuracy and consistency of the analyses. 4. Visualize and interpret data: After the data is processed and the analyses are performed, you must then interpret and visualize the results. Data visualization can help to better understand the patterns and insights from the data, and can be used to communicate the findings to other stakeholders. 5. Create a predictive model: Predictive modeling is a method of using data to make future predictions. This may include using machine learning algorithms to analyze large amounts of data, identify relationships between data points, and then create a predictive model that can be used to make future predictions.

How do disk drive and data storage system reliability vary?

The primary differences in disk drive and data storage system reliability depend on the types of technology in use. Hard disk drives are generally more reliable than solid-state storage (SSD) solutions, but SSDs offer substantially better performance. In addition, data storage systems that use multiple disk drives often provide higher levels of reliability, as they can store multiple copies of the same data to guard against disk drive failure. For example, RAID data storage systems employ redundancy to improve system reliability by making multiple copies of critical data on two or more drives, allowing the system to continue operating even if one of the drives fails.

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