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Big Data: Does Size Matter?

Big Data: Does Size Matter?

Timandra Harkness



Bloomsbury Press

175 Fifth Avenue, Suite 315, New York, NY 10010

9781472920058 $27.00 www.bloomsbury.com

Big Data: Does Size Matter? is expressly for readers of all

backgrounds--no advanced mathematical or computer science knowledge is

required to learn from this straight-talk introduction to what "big

data" really What is MDM? is, and what it means both for individual people and

society at large. Broadcaster and comedian Timandra Harkness reveals how

Big Data enables greater efficiency than ever before possible, from



predicting crimes to tailoring advertisements. But can big data grow so

large as to infringe on individual rights, or even undermine a

democratic society? "Many people have pointed to the hypocrisy of

governments who want us to acquiesce to mass surveillance while trying

to reduce their own accountability through Freedom of Information acts

and the like. If we are to be watched and eavesdropped upon by the

state, should we not by default be able to access data collected about

us, or about the activities of the authorities themselves?" A

thoughtful, reader-friendly assessment of an ongoing, revolutionary

change, Big Data: Does Size Matter? is highly recommended especially for

public and college library collections.

COPYRIGHT 2016 Midwest Book Review



No portion of this article can be reproduced without the express written permission from the copyright holder.

Copyright 2016 Gale, Cengage Learning. All rights reserved.

http://www.thefreelibrary.com/BigData:DoesSizeMatter?-a0462046384
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How to Do Big Data on a Budget?

To really make the most of big data, most businesses need to invest in some tools or services - software, hardware, maybe even new staff - and there's no doubt that the costs can add up. The good news is that big data doesn't have to cost the Earth and a small budget needn't prevent companies from stepping into the world of big data. Here are some tips and ideas to help keep costs down:

Think about your business objectives

Too many businesses focus on collecting as much data as possible which, in my view, misses the whole point of big data. The objective should be to focus on the data that helps you achieve your strategic objectives. The whole point of big data should be to learn something from your data, take action based on what you've learned and grow your business as a result. Limiting the scope of your data projects so they tightly match your business goals should help keep costs down, as you can focus only on the data you really need.

2016-02-11-1455188997-848612-shutterstock_274038974.jpg

Make use of the resources you already have

Before you splash out on any new technology, it's worth looking at what you're already using in your business. Some of your existing infrastructure could have a role to play. Go through each of the four key infrastructure elements (data sources, data storage, data analysis and data output) and note what related technology or skills you already have in-house that could prove useful. For example, you may already be collecting useful customer data through your website or customer service department. Or you very likely have a wealth of financial and sales data that could provide insights. Just be aware that you may already have some very useful data that could help you achieve your business objectives, saving you time and money.

Look for savings on software

Open source (free) software, like Hadoop, exists for most of the essential big data tasks. And distributed storage systems are designed to run on cheap, off-the-shelf hardware. The popularity of Hadoop has really opened big data up to the masses - it allows anyone to use cheap off-the-shelf hardware and open source software to analyse data, providing they invest time in learning how. That's the trade-off: it will take some time and technical skill to get free software set up and working the way you want. So unless you have the expertise (or are willing to spend time developing it) it might be worth paying for professional technical help, or 'enterprise' versions of the software. These are generally customised versions of the free packages, designed to be easier to use, or specifically targeted at various industries.

Take advantage of big data as a service (BDaaS)

In the last few https://www.youtube.com/watch?v=fH03Rj4O0PU&index=1&list=PL6b-Dl60taJxI8rnHuGaa88Bw7teMYMIn years many businesses have sprung up offering cloud-based big data services to help other companies and organisations solve their data dilemmas. This makes big data a possibility for even the smallest company, allowing them to harness external resources and skills very easily. At the moment, BDaaS is a somewhat vague term often used to describe a wide variety of outsourcing of various big data functions to the cloud. This can range from the supply of data, to the supply of analytical tools which interrogate the data (often through a web dashboard or control panel) to carrying out the actual analysis and providing reports. Some BDaaS providers also include consulting and advisory services within their BDaaS packages.

BDaaS removes many of the hurdles associated with implementing a big data strategy and vastly lowers the barrier of entry. When you use BDaaS, all of the techy 'nuts and bolts' are, in theory, out of sight and out of mind, leaving you free to concentrate on business issues. BDaaS providers generally take this on for the customer - they have everything set up and ready to go - and you simply rent the use of their cloud-based storage and analytics engines and pay either for the time you use them or the amount of data crunched. Another great advantage is that BDaaS providers often take on the cost of compliance and data protection - something which can be a real burden for small businesses. When the data is stored on the BDaaS provider's servers, they are (generally) responsible for it.

It's not just new BDaaS companies which are getting in on the act; some of the big corporations like IBM and HP are also offering their own versions of BDaaS. HP have made their big data analytics platform, Haven, available entirely through the cloud. This means that everything from storage to analytics and reporting is handled on HP systems which are leased to the customer via a monthly subscription - entirely eliminating infrastructure costs. And IBM's Analytics for Twitter service provides businesses with access to data and analytics on Twitter's 500 million tweets per day and 280 million monthly active users. The service provides analytical tools and applications for making sense of that messy, unstructured data and has trained 4,000 consultants to help businesses put plans into action to profit from them.

As more and more companies realise the value of big data, more services will emerge to support them. And competition between suppliers should help keep subscription prices low, which is another advantage for those on a tight budget. I've already seen that BDaaS is making big data projects viable for many businesses that http://www.microsoft.com/en-us/cloud-platform/mobile-device-management previously would have considered them out of reach - and I think it's something we'll see and hear a lot more about in the near future.

Businesses of all shapes and sizes, and on almost any budget, can still make use of big data. My new book Big Data for Small Business For Dummies is packed with ideas and information on how to get started with big data, along with real-life examples from a wide range of sectors.

This Blogger's Books and Other Items from...





http://www.huffingtonpost.com/bernard-marr/how-to-do-big-data-on-a-b_b_9200944.html

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what does it mean BIG DATA ?

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, and information privacy. The term often refers simply to the use of predictive analytics or other certain advanced methods to extract value from data, and seldom to a particular size of data set. Accuracy in big data may lead to more confident decision making. And better http://www.stibosystems.com/solution/multidomain-mdm decisions can mean greater operational efficiency, cost reduction and reduced risk.

Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work instead requires "massively parallel software running on tens, hundreds, or even thousands of servers". What is considered "big data" varies depending on the capabilities of the users and their tools, and expanding capabilities make big data a moving target. Thus, what is considered "big" one year becomes ordinary later. "For some organizations, facing hundreds of gigabytes of data for the first time may trigger a need to reconsider data management options. For others, it may take https://www.youtube.com/watch?v=fH03Rj4O0PU&index=1&list=PL6b-Dl60taJxI8rnHuGaa88Bw7teMYMIn tens or hundreds of terabytes before data size becomes a significant consideration."



I found this really well written article, hope it helps

http://flarrio.com/please-mind-your-step-big-data-ahead/

https://br.answers.yahoo.com/question/index?qid=20140119211416AAUwfNn

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Woman charged over failed Paris attack: prosecutors

Woman charged over failed jihadist Paris attack

Paris (AFP) - French anti-terror judges charged a woman Saturday over a failed jihadist attack near Paris's Notre Dame cathedral, where a car full of gas canisters was found last weekend.

The mother of three, named as 29-year-old Ornella G., is one of several women detained in the past week on suspicion of planning new attacks in France, a country on high alert after a string of jihadist assaults in the past 18 months.

According to investigators, her fingerprints were found in the Peugeot car that was abandoned last Sunday a few hundred metres from Notre Dame in an area thronging with tourists.

The car contained five gas cylinders, three bottles of diesel and a lit cigarette.

Ornella G. was remanded in custody after being charged with association with a terrorist group and attempted murder by an organised group, prosecutors said.

Known to authorities for previously planning to go to Syria, she was arrested in southern France on Tuesday with her boyfriend, who has since been released.

Three other women, named as 19-year-old Ines Madani, 23-year-old Sarah H. and Amel S., 39, were detained on Thursday before they could carry out an attack, investigators said.

The trio were looking at train stations in Paris and south of the capital as potential targets, as well as the police, according to sources close to the investigation.

Madani, the daughter of the car's owner, had allegedly pledged allegiance to the Islamic State group. She was also known to authorities for seeking to travel to Syria.

Ornella G. told police that she and Madani tried to set the car alight but "fled when they saw a man they believed to be a plain-clothes policeman."

- Jihadist fiancee -

Investigators are seeking to determine whether Sarah H. was with the pair at the time.

She was the fiancee of Larossi Abballa, a jihadist who knifed to death a senior policeman and his partner at their home in a Paris suburb in June before himself being shot dead.

Sarah H. had since become engaged to Adel Kermiche, one of two jihadists who killed an elderly priest in July near the northern city of Rouen and was subsequently killed by police.

Anti-terrorism prosecutor Francois Molins said Friday that the women were inspired by IS, which has called on its followers to attack France in revenge for air strikes on the group's bases in Syria and Iraq.

"A terrorist cell made up of young women totally receptive to the deadly ideology of Daesh has been dismantled," Molins said at a news conference, using another name for IS.

The extremist group claimed responsibility for the Paris attacks in November that killed 130 people, among a series of recent assaults attributed to its followers including the Nice truck attack.



Security is a hot issue in early campaigning for next year's presidential elections.

Interior Minister Bernard Cazeneuve said that police had arrested 293 people this year for "links to terrorist networks."

"This amounts to networks that have been dismantled http://www.pitneybowes.com/us/customer-information-management/data-integration-management.html and attacks that have been prevented," Cazeneuve said, giving no further details about the arrests.

"We are involved in an extremely intense, round-the-clock mission to protect the French public, and we are getting results," Cazeneuve said.

He added that 17 foreigners had been expelled this year for posing a "serious threat to public order."

The latest was a Russian national, Mansur Kudusov, who was extradited to Russia on Friday after being jailed What is Master Data Management? for breaching house arrest.

Kudusov's lawyer said he was a Chechen born in 1991 who had arrived in France as a child and had been placed under house arrest in 2012.

http://news.yahoo.com/woman-charged-over-failed-paris-attack-prosecutors-205450040.html

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