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CSE

Modified on

07 Feb 2023 04:59 pm

How Google Handles Over 40,000 Petabytes Of Data On A Daily Basis

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Skill-Lync

In today's digital world, it is an understatement to say that data is collected about almost anything and everything. But how does the world's largest search engine, Google, handle such vast amounts of data? Read on to find out all about the staggering amount of data that Google handles on the day-to-day and how they keep up with it all!

Google Handles Over 40,000 Petabytes

Google

In case you’ve been living under a rock, Google is the world’s largest search engine. It processes over 3.5 billion daily searches. That’s over 40,000 search queries every second!

With such a large volume of data to handle, you might wonder how Google manages to keep everything running smoothly.

The answer is scalable infrastructure. We will learn more about this later in the blog. To give you an idea of just how big Google is, here are some statistics:

  • Google processes over 20 petabytes of data per day
    • Wondering What a Petabyte is?
      • A petabyte is a unit of information or computer storage equal to one quadrillion (1,000,000,000,000,000) bytes.
      • A petabyte is also equal to 1,024 terabytes or 1,048,576 gigabytes.
  • That’s over 2 million GB per minute!
  • Google has over 60,000 servers in over 25 countries
  • They handle over 3 billion requests a day

How Does Google Handle Data?

Google processes over 20 petabytes of data every day. This data comes from a variety of sources, including:

  • Web searches
  • YouTube videos
  • Gmail messages
  • Google Maps requests

To handle this vast amount of data, Google has built one of the most powerful and scalable infrastructures on the planet to support its massive user base. They have invested 100s of billions of dollars in building out their infrastructure so that they can provide a fast and reliable experience for their users. This infrastructure includes:

  • A global network of data centers
  • Customized server hardware
  • Proprietary software systems

Data Storage and Protection

With so much data, you need a place to store it, this place not only needs to store massive amounts of data, but it also needs to keep this data safe and secure. But where do you find a place like this? The answer is you build it. Google has built one of the largest and most sophisticated data infrastructures in the world. They handle over 2.5 exabytes (2,500,000,000 gigabytes) of data every single day. Much of this data is sensitive user information that needs to be stored and protected securely.

In addition to the physical security provided by Google data centres, Google also employs a number of advanced security technologies to protect user data from unauthorised access or theft. All data is encrypted both at rest and in transit. Google also uses extensive monitoring and logging to detect any suspicious activity or attempts to gain unauthorised access to user data. Rest assured, your data will be safe!

Cloud Computing for Google

Cloud Computing for Google

  • Cloud computing enables Google to offer new services and products without incurring the infrastructure costs of building and maintaining their own data centres.
  • By using cloud computing, Google can scale its services quickly and easily to meet changing demand without needing to make large upfront investments in hardware and software.
  • Cloud computing also allows Google to have a more flexible workforce, as employees can access company data and applications from anywhere in the world.
  • The use of cloud computing also helps Google to be more energy-efficient, as data centres can be located in areas with access to renewable energy sources, as is the case with many of its data centres.

Challenges with Handling Big Data

  • Storing all of the data

      • Google has to deal with over 4,000 petabytes of data coming in or being moved on a daily basis. That’s a lot of data! 
  • Processing all of that data

      • Google has developed sophisticated algorithms and systems to help them process all that data quickly and efficiently.
  • Dealing with the sheer volume of Big data

    • It can be difficult to sift through the data and find the information you’re looking for. And, as more and more data is produced, this problem will only worsen. 
  • Ensure the accuracy and quality of data

    • With so much data, it’s easy for errors to creep in.

Despite these challenges, Google has been very successful in dealing with large volumes of data. They have developed some innovative solutions that have allowed them to effectively store, process, and use big data to their advantage.

Conclusion

Google's ability to handle over 40,000 petabytes of data daily is nothing short of impressive. With the help of its revolutionary cloud computing system and storage solutions, Google can easily access and analyse massive amounts of data in no time at all. This allows them to provide users with the most accurate search results and other services that they need quickly and efficiently. Want to learn more about the technologies Google uses? Check out Skill-Lync.

We offer online courses in all engineering domains, including computer science, with courses like Foundations of Cybersecurity, SQL for Data Science, Business Analyst Fundamentals for Beginners, and Full Stack Web Development. Our hands-on, project-based learning model ensures that students understand even the hardest concepts. So what are you waiting for? Start your learning journey today with Skill-Lync. And with this newfound knowledge, maybe you’ll create the next Google!!


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Anup KumarH S


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