Guyz,
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.
One of the biggest new ideas in computing is “big data.” There is unanimous agreement that big data is revolutionizing commerce in the 21st century. When it comes to business, big data offers unprecedented insight, improved decision-making, and untapped sources of profit.
Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
Or,
Big Data refers to the massive amounts of data that collect over time that are difficult to analyze and handle using common database management tools. Big Data includes business transactions, e-mail messages, photos, surveillance videos and activity logs (see machine-generated data). Scientific data from sensors can reach mammoth proportions over time, and Big Data also includes unstructured text posted on the Web, such as blogs and social media.
Big data spans three dimensions: Volume, Velocity and Variety :'
Volume:
Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.
• Turn 12 terabytes of Tweets created each day into improved product sentiment analysis
• Convert 350 billion annual meter readings to better predict power consumption.
Velocity:
Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.
• Scrutinize 5 million trade events created each day to identify potential fraud
• Analyze 500 million daily call detail records in real-time to predict customer churn faster.
Variety:
Big data is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together.
• Monitor 100’s of live video feeds from surveillance cameras to target points of interest
• Exploit the 80% data growth in images, video and documents to improve customer satisfaction.
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.
One of the biggest new ideas in computing is “big data.” There is unanimous agreement that big data is revolutionizing commerce in the 21st century. When it comes to business, big data offers unprecedented insight, improved decision-making, and untapped sources of profit.
Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
Or,
Big Data refers to the massive amounts of data that collect over time that are difficult to analyze and handle using common database management tools. Big Data includes business transactions, e-mail messages, photos, surveillance videos and activity logs (see machine-generated data). Scientific data from sensors can reach mammoth proportions over time, and Big Data also includes unstructured text posted on the Web, such as blogs and social media.
Big data spans three dimensions: Volume, Velocity and Variety :'
Volume:
Enterprises are awash with ever-growing data of all types, easily amassing terabytes—even petabytes—of information.
• Turn 12 terabytes of Tweets created each day into improved product sentiment analysis
• Convert 350 billion annual meter readings to better predict power consumption.
Velocity:
Sometimes 2 minutes is too late. For time-sensitive processes such as catching fraud, big data must be used as it streams into your enterprise in order to maximize its value.
• Scrutinize 5 million trade events created each day to identify potential fraud
• Analyze 500 million daily call detail records in real-time to predict customer churn faster.
Variety:
Big data is any type of data - structured and unstructured data such as text, sensor data, audio, video, click streams, log files and more. New insights are found when analyzing these data types together.
• Monitor 100’s of live video feeds from surveillance cameras to target points of interest
• Exploit the 80% data growth in images, video and documents to improve customer satisfaction.
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