Big Data
Páginas: 3 (625 palabras)
Publicado: 20 de junio de 2012
What is big data?
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.Learn how Vestas Wind Systems use IBM big data analytics software and powerful IBM systems to improve wind turbine placement for optimal energy output.
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Big data spans threedimensions: 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 Tweetscreated 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. Fortime-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 toidentify 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 suchas 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 surveillancecameras to target points of interest
* Exploit the 80% data growth in images, video and documents to improve customer satisfaction
Big data is more than simply a matter of size; it is anopportunity to find insights in new and emerging types of data and content, to make your business more agile, and to answer questions that were previously considered beyond your reach. Until now, there...
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.Learn how Vestas Wind Systems use IBM big data analytics software and powerful IBM systems to improve wind turbine placement for optimal energy output.
Watch the video
Big data spans threedimensions: 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 Tweetscreated 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. Fortime-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 toidentify 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 suchas 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 surveillancecameras to target points of interest
* Exploit the 80% data growth in images, video and documents to improve customer satisfaction
Big data is more than simply a matter of size; it is anopportunity to find insights in new and emerging types of data and content, to make your business more agile, and to answer questions that were previously considered beyond your reach. Until now, there...
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