Apa Itu Big Data?

Summary

Big Data refers to vast amounts of data that cannot be processed using conventional systems. It is characterized by volume (massive size), variety (different types like text, photos, videos), and velocity (the speed at which data is generated and analyzed). Technologies like the Internet of Things contribute to this data explosion, with everything from smartphones to refrigerators creating data. High-Performance Computing (HPC) systems are essential for analyzing such large data sets rapidly. In Indonesia, LIPI provides free HPC access to support scientific research, particularly in fields like experimental particle physics.

Takeaways

• 📦 Big Data refers to extremely large data sets that cannot be processed by conventional computer systems and software.
• 🌍 The data we generate throughout our lives, such as education, health, and social media data, contribute to the vast amount of Big Data globally.
• 🚀 Big Data has three key characteristics: volume, variety, and velocity. It is generated at an incredibly large scale and comes in various forms like text, images, videos, etc.
• 📈 In 2012, 2.3 trillion gigabytes of data were generated daily, and it was projected that 43 trillion gigabytes would be generated by 2020.
• 🖥️ High-Performance Computing (HPC) systems are needed to process and analyze Big Data rapidly and efficiently. Conventional computers would take years to handle such data loads.
• ⚙️ The Internet of Things (IoT) contributes to Big Data, with objects like smartphones, smartwatches, and refrigerators generating data about daily activities and environments.
• 🌡️ Examples of Big Data include traffic data, health metrics, climate information, banking transactions, and even posts on social media.
• 🔬 Big Data is critical for scientific advancements, such as the Alice-Cern project in Indonesia, which generates vast amounts of experimental particle physics data.
• ⏩ Velocity, or the speed of data processing, is crucial in applications like stock market analysis, route optimization, and weather forecasting, where real-time data analysis is essential.
• 🤝 The Indonesian LIPI Research Center offers HPC resources for scientific purposes, making it easier to process large amounts of data for free.

Q & A

What is Big Data?

Big Data refers to extremely large data sets that cannot be processed using traditional computer systems and software due to their size, variety, and velocity.

What are the key characteristics of Big Data?

The three main characteristics of Big Data are volume (the size of the data), variety (the different types of data), and velocity (the speed at which data is generated and processed).

How much data was generated daily in 2012, and what was the forecast for 2020?

In 2012, 2.3 trillion gigabytes of data were generated daily, and it was estimated that by 2020, 43 trillion gigabytes of data would be generated.

What is the 'volume' aspect of Big Data?

Volume refers to the sheer size of the data being produced. For example, if the data from 2010 were transferred to DVDs, the stack would stretch from the Earth to the moon and back.

What types of data contribute to Big Data under the 'variety' characteristic?

Big Data includes various types such as text, photos, videos, social media posts, sensor data, health data, and more.

What is the Internet of Things (IoT) and how does it relate to Big Data?

The Internet of Things (IoT) refers to objects like smartphones, TVs, and even refrigerators communicating via networks like the internet, generating data that contributes to Big Data.

Why is 'velocity' an important aspect of Big Data?

Velocity is crucial because data needs to be processed quickly to produce timely information. For example, real-time data analysis is needed for stock prices, weather forecasts, or traffic information.

What is High Performance Computing (HPC) and why is it important for Big Data?

HPC refers to a system of interconnected CPUs that can process large computational loads in a short time. It is essential for analyzing Big Data, which would take years with regular computing systems.

What is an example of a Big Data science project in Indonesia?

An example is the Alice-Cern project in experimental particle physics, which generates vast amounts of data requiring HPC for processing, managed by the Research Center for Informatics in Indonesia.

How is LIPI contributing to the use of HPC for Big Data processing in Indonesia?

LIPI offers free access to its HPC systems in Bandung and Cibinong for scientific research, promoting collaboration and the advancement of science in Indonesia.