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Big Data - created from Mind Map

s.rajeswari30 Englisch 1 Seite

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Definition

Technologies

Big science

Government

Private

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Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.

1.Column-oriented database

2.Schema-less databases, or No SQL databases.

3. MapReduce.

4,Hadoop

5.Hive

6.PIG

7. WibiData

8. PLATFORA

9.Storage Technologies

10.SkyTree

The Large Hadron Collider experiments represent about 150 million sensors delivering data 40 million times per second. There are nearly 600 million collisions per second. After filtering and refraining from recording more than 99.999% of these streams, there are 100 collisions of interest per second.

In 2012, the Obama administration announced the Big Data Research and Development Initiative, which explored how big data could be used to address important problems faced by the government. The initiative was composed of 84 different big data programs spread across six departments.

Big data analysis played a large role in Barack Obama's successful 2012 re-election campaign.

The United States Federal Government owns six of the ten most powerful supercomputers in the world.

The Utah Data Center is a data center currently being constructed by the United States National Security Agency. When finished, the facility will be able to handle a large amount of information collected by the NSA over the Internet. The exact amount of storage space is unknown, but more recent sources claim it will be on the order of a few Exabytes

eBay.com uses two data warehouses at 7.5 petabytes and 40PB as well as a 40PB Hadoop cluster for search, consumer recommendations, and merchandising. Inside eBay’s 90PB data warehouse

Amazon.com handles millions of back-end operations every day, as well as queries from more than half a million third-party sellers. The core technology that keeps Amazon running is Linux-based and as of 2005 they had the world’s three largest Linux databases, with capacities of 7.8 TB, 18.5 TB, and 24.7 TB.

Walmart handles more than 1 million customer transactions every hour, which is imported into databases estimated to contain more than 2.5 petabytes (2560 terabytes) of data – the equivalent of 167 times the information contained in all the books in the US Library of Congress

Facebook handles 50 billion photos from its user base.

FICO Falcon Credit Card Fraud Detection System protects 2.1 billion active accounts world-wide.

The volume of business data worldwide, across all companies, doubles every 1.2 years, according to estimates.

Windermere Real Estate uses anonymous GPS signals from nearly 100 million drivers to help new home buyers determine their typical drive times to and from work throughout various times of the day.

1.IBM

2.Hp

3.Teradata

4.Oracle

5. SAP

6.Amazon

7.Google

8. Microsoft

9.10 gen

10. cloudera

Big Data

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Notiz am Big Data - created from Mind Map, erstellt von s.rajeswari30 am 01/01/2014.
Erstellt von
s.rajeswari30 · Jan 2014
Aktualisiert
19 Feb 2016
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14
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  • Erstellt von s.rajeswari30 · 1 Jan 2014
  • Zu Notiz kopiert von s.rajeswari30 · 1 Jan 2014
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