Lec.1.D. S. 2019-2020.pptx - Lec.1 Data All Around Lots of data is being collected and warehoused ◦ Web data e-commerce ◦ Financial transactions

Lec.1.D. S. 2019-2020.pptx - Lec.1 Data All Around Lots of...

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Lec.1.
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Data All Around Lots of data is being collected and warehoused Web data, e-commerce Financial transactions, bank/credit transactions Online trading and purchasing Social Network
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How Much Data Do We have? Google processes 20 PB a day (2008) Facebook has 60 TB of daily logs eBay has 6.5 PB of user data + 50 TB/day (5/2009) 1000 genomes project: 200 TB Cost of 1 TB of disk: $35 Time to read 1 TB disk: 3 hrs (100 MB/s)
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Big Data Big Data is any data that is expensive to manage and hard to extract value from Volume The size of the data Velocity The latency of data processing relative to the growing demand for interactivity Variety and Complexity the diversity of sources, formats, quality, structures.
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Big Data
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Types of Data We Have Relational Data (Tables/Transaction/Legacy Data) Text Data (Web) Semi-structured Data (XML) Graph Data Social Network, Semantic Web (RDF), … Streaming Data You can afford to scan the data once
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What To Do With These Data?
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