Simulasi Perhitungan 7 V Big Data Analytic Google Sheet

Summary

This educational video delves into the 7 Vs of big data: Volume, Velocity, Variety, Veracity, Variability, Visibility, and Value. It explains each 'V' with examples, emphasizing the importance of data storage capacity and the challenges of managing diverse data types. The video discusses how to calculate data volume and velocity, the impact of data variety and veracity on business decisions, and the role of visibility in data accessibility. It concludes with a simulation on how public sentiment influences ad pricing, highlighting the interplay between data analysis and real-world applications.

Takeaways

• 📈 The script discusses the 7 Vs of Big Data: Volume, Velocity, Variety, Veracity, Variability, Visualization, and Value.
• 💾 'Volume' refers to the capacity of data storage, emphasizing the amount of data that needs to be stored.
• 🔁 'Velocity' is about the speed at which data is received or sent, highlighting the rapidity of data flow.
• 🎭 'Variety' covers the types of data, such as text, images, and videos, and their combinations.
• 🔍 'Veracity' is the accuracy and trustworthiness of data, focusing on the quality and reliability of the information.
• 📊 'Variability' deals with the fluctuation and instability in data, including standard deviation and variance.
• 📊 'Visualization' is the process of representing data in a graphical or visual format to understand trends and sentiments.
• 💰 'Value' is the usefulness derived from data analysis, including public sentiment and its impact on advertisement pricing.
• 📊 The script provides examples of calculating data storage needs based on account activity and data types like text, images, and videos.
• 🔢 It illustrates the concept of data variability with examples of standard deviation and variance to predict data storage requirements.
• 📈 The importance of understanding public sentiment's influence on advertisement costs is highlighted, showing how sentiment can affect ad pricing.

Q & A

What are the three Vs discussed at the beginning of the script?

The three Vs discussed at the beginning of the script are Volume, Variety, and Velocity. Volume refers to the capacity of storage, Variety refers to the types of data we possess, and Velocity is the speed at which data is sent or received.

What does the term 'Veracity' signify in the context of the script?

Veracity in the script refers to the accuracy and trustworthiness of the data, including the interpretation and quality of the data, ensuring that the data is reliable and can be trusted for decision-making.

How does the script explain the evolution from 5 Vs to 6 Vs and then to 7 Vs in data management?

The script explains that the 5 Vs of data were expanded to 6 Vs by Microsoft, which included Value and Visibility. Later, the concept evolved to 7 Vs, which included Volume, Velocity, Variety, Veracity, Variability, Visualization, and Value.

What is the significance of 'Variability' in the context of the script?

Variability in the script refers to the fluctuation and diversity in the data. It discusses how data can vary in size and type, and the importance of understanding this variability for effective data management and analysis.

How does the script use the term 'Visualization' in relation to data?

Visualization in the script is used to describe the process of representing data in a graphical or visual format to make it easier to understand trends, patterns, and insights from the data.

What is the importance of 'Value' in the context of the 7 Vs discussed in the script?

Value in the context of the 7 Vs refers to the usefulness and significance of the data. It emphasizes the importance of extracting meaningful insights and making data-driven decisions that can lead to actionable outcomes.

How does the script discuss the impact of data volume on storage capacity?

The script discusses the impact of data volume on storage capacity by providing examples of how the amount of data generated can quickly fill up storage spaces, necessitating the need for larger storage solutions to accommodate growing data volumes.

What is the role of 'Veracity' in determining the weight of features like posts, likes, comments, and shares on social media?

Veracity plays a role in determining the weight of features on social media by assessing the quality and reliability of user interactions such as posts, likes, comments, and shares, which can influence the importance and impact of these features in social media analytics.

How does the script use the term 'Visibility' in the context of data access?

Visibility in the script refers to the accessibility of data, whether it is private, semi-private, or public. It discusses the implications of data visibility on who can access and understand the data, and the potential need for authentication or permissions to view certain data.

What is the significance of the script's discussion on the fluctuation of data and its impact on server capacity?

The script discusses the fluctuation of data to highlight the potential strain on server capacity due to unpredictable increases in data volume. It emphasizes the need for simulating and predicting data usage to prevent server downtime and ensure efficient data handling.

How does the script connect public sentiment on social media to the value of advertising?

The script connects public sentiment on social media to the value of advertising by suggesting that positive sentiment can increase the cost of advertising due to higher engagement, while negative sentiment can decrease it. It also discusses how sentiment can influence the visibility and effectiveness of ads.