BAGAIMANA PENGOLAHAN BIG DATA BISA DILAKUKAN? | 15 MINUTES METRO TV

Summary

The video explains the concept of big data, highlighting its three key characteristics: volume, variety, and velocity. It further discusses the importance of high-performance computing (HPC) in processing big data, comparing it to a cooking tool that transforms raw ingredients into valuable information. Examples of HPC applications include virus sequencing for vaccine research and animation rendering for detailed graphics. The video also emphasizes that HPC resources are accessible to the public for research purposes through platforms like BPPT, inviting users to submit proposals for potential use.

Takeaways

• 😀 Big Data is characterized by 3 main elements: Volume (large amounts of data), Variety (diverse types), and Velocity (speed of data processing).
• 😀 Additional characteristics of Big Data include Veracity (data reliability) and Value (the usefulness of the data).
• 😀 High-Performance Computing (HPC) is essential for processing large datasets and performing complex calculations at high speed.
• 😀 HPC is often compared to a pitstop in a race, where multiple processors work in parallel to solve a problem quickly.
• 😀 HPC is used in research, such as virus sequencing, to analyze large amounts of data like COVID-19's RNA and aid in vaccine development.
• 😀 HPC also plays a significant role in rendering animations. High-detail animations can be completed in hours instead of days by utilizing multiple processors.
• 😀 By using HPC, tasks that might take hours on a single processor (like rendering animation frames) can be completed in minutes by leveraging thousands of processors.
• 😀 HPC can reduce computation times drastically. For example, a task that takes 10 hours can be completed in just 1 hour with sufficient parallel processing.
• 😀 HPC facilities are accessible to researchers and the public, offering resources to aid in scientific and academic projects.
• 😀 To use HPC resources for research, interested individuals or institutions can submit proposals to platforms like BPPT, where they can access computational power if their project is deemed feasible.

Q & A

What are the three main characteristics of big data?

The three main characteristics of big data are volume (size), variety (diversity), and velocity (speed). These define the challenges and processes involved in handling large datasets.

What additional properties are important for big data, besides the main three characteristics?

In addition to volume, variety, and velocity, big data also needs to be reliable (trusted) and valuable (useful). These qualities help ensure the data can be used effectively for decision-making and analysis.

Why is HPC (High Performance Computing) important for processing big data?

HPC is crucial for processing big data because it provides the computational power needed to handle large datasets quickly. It enables tasks that would normally take hours or days to be completed in a fraction of the time.

How is big data compared to food in the script?

Big data is compared to food ingredients, where just like food needs cooking tools to be transformed into a meal, big data requires specialized tools like HPC to be turned into usable information.

Can you explain the analogy of the pit stop in a race used in the video?

The pit stop analogy illustrates how HPC works. Just like a race team works together to complete tasks quickly (e.g., changing tires and refueling simultaneously), HPC uses many processors working in parallel to speed up data processing.

What is an example of how HPC is used in research, as discussed in the video?

One example is using HPC to sequence the DNA of the SARS-CoV-2 virus. This process aids in research for developing vaccines by analyzing the virus's genetic makeup in a very short time.

How does HPC improve the time efficiency of complex tasks?

HPC improves time efficiency by dividing tasks among multiple processors, allowing complex tasks like virus sequencing to be completed much faster than traditional methods.

What is the role of HPC in creating animations, as mentioned in the script?

HPC is used in rendering animations by processing many frames simultaneously, reducing the time needed to create detailed animations. Without HPC, tasks that would take hours could stretch into days.

Is HPC technology accessible to everyone for research purposes?

Yes, HPC is open to everyone for research. Researchers can submit proposals to access HPC resources for their projects if the proposals are feasible and align with the research goals.

How can someone apply to use HPC for their research?

To use HPC, individuals can submit a proposal on the provided platform (e.g., hpctip.bppt.id). If the proposal is reasonable and can be implemented, they may be granted access to HPC resources for their research.