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Post Tagged with: Big data Analytics

3 ways big data analytics is changing our lives

3 ways big data analytics is changing our lives

Big data has travelled a great deal from just being a buzzword only a year back. Service providers and analytics are fully engrossed in understanding the benefits which can be derived out of big data analytics. Since big data is everything we do every day to leave a digital trace, it can be analyzed to better our lives. Read on to know how big data analytics is changing our lives with each passing day.

big data changing livesWith the explosion of data in every form, from books to maps and from calls to apps, from advertisements to social network updates and from surveys to varying trends – we are leaving more and more digital traces with every digitalizing world. Since all this avalanche of data is touching our lives every day, it has become one of the mega trends that will impact (and is impacting) everyone in one way or the other.

Listed below are a few examples of how big data analytics is already changing our lives for good.

At home and office

There was a time when nothing was possible at home without human intervention, today we have small and seasoned manufactures developing devices that help us monitor every single thing at home, from elders to pets and from appliances to door locks, everything can be monitored from miles ways just by using a smartphone and an application.

Manufacturers have devised sensors to automate lighting and your appliances at home or in offices. You can turn on the lights or the air conditioner even before you walk into the office or home. You don’t have to stand up and turn of the light or walk to the washing machine to switch it on, a smartphone with dedicated app can do it for you from the comfort of your bed.

While driving or shopping

Auto manufacturers like Ford are using big data analytics to make their future vehicles more environmental friendly. In addition, there are companies and third-party developers who have developed applications to allow smartphones to send out location information, information about how fast you’re are driving, combined with the information of real time traffic to give you the best routes to avoid traffic, or give you information of the nearby gas station, restaurant, bank etc.

While shopping, the loyalty card of the store is combined with your purchase history and social media data to offer you discount coupons and personalized offers based on your loyalty to the store. This is really making shopping more fun, economical and very personalized.

Hospitals, healthcare and fitness

Doctors are maintaining record of patients to keep track of their medical history, for better, quicker and more pin point treatment. While, pediatric units in hospitals are live steaming heartbeats of premature and sick babies in the womb. Combining the information with historically data and based on analysis, doctors are now able to detect infections in babies even before they are born.

Fitness and healthcare have become the biggest market for electronic companies. Most manufacturers, including Nike have are coming out with fitness bands, smartwatches and pedometers etc to collect daily data of a person’s physical routine, calories, sleep patterns and heart rate etc., which is then sent wirelessly to smartphone, doctors and insurance companies to devise  better and more customized healthcare programs.

New course to handle Big Data on Hadoop using R software

New course to handle Big Data on Hadoop using R software

Jigsaw Academy is introducing all new course in big data analytics using R and Hadoop. The course has been specifically designed to provide students’ knowledge and hone their skills to handle big data environment of Hadoop using the R software.

JigsawAcademyIt just been days we learnt of Cloudera and Udactiy partnership to offer open Hadoop and MapReduce courses. Course which have been specially designed to equip students with technical and analytical skills for a brighter career in emerging data market.Following the lead, Jigsaw Academy, a premier online analytics training academy, has introduced new courses in Big Data Analytics using R and Hadoop.

Jigsaw Academy has made a good name in online analytics training. It offers both intermediate and advanced level big data analytics courses. With a vision to extend its roots (as a premier academy), Jigsaw Academy has specifically designed their new course to provide everyone (in need) knowledge and help develop skills needed to deal with big data analytics on Hadoop using R software.

SaritaDigumarti, co-founder at Jigsaw Academy informs,

This new course is specifically designed for those looking to enhance their knowledge and skill sets in Big Data, specifically that of handling the big data environment of Hadoop using R software.

Who is the course for?

Since, Jigsaw Academy thrives on the continuous commitment to expand its offerings, the new course will really help global industry experts (who lack big data handling skills) garner significant expertise in the big data analytics environment. The primary target group for the course, being offered, are analytics experts who are wanting to learn and develop on their big data analytics skills.

It is also beneficial students planning to pursue a career in data science, or for those database professionals who plan to make an entry into the big data analytics industry.

Requirements for enrollment?

To attain an entry into the course, professionals and students are required to have working knowledge of R software. They should have a beginner’sunderstanding of statistics and SQL.

Those not versed with R will have to undergo a spate R skills course, which will be offered by Jigsaw Academy for free.

What to expect in and on completion of the course?

The course can be really beneficial for all the aforementioned type because the instructors at Jigsaw Academy will use real-time big data case studies. This will allows the instructors to showcase and clear the concepts of Hadoop in addition to providing training of application of big data technologies on large volume of data.

What to expect on completion?

  • A working knowledge of Hadoop
  • An ability to analyze big data using R software
  • Complete knowledge of big data analytics
  • And practical application of big data analytics

Via: PRWeb

SiSense makes big data analytics possible on a Chip

SiSense makes big data analytics possible on a Chip

Thriving on the concept of ‘big data meets business intelligence,’ a company in Israel has worked out a way to allow enterprises to put analytics in cache memory of a CPU in order minimize cost of hardware purchase that enterprises incur. SiSense big data analytics on a chip If you were to ask someone, what is big data’s biggest drawback? They would outrightly claim it as ‘more hardware’meaning more expenditure! Since, organizations see their big data levels rise more than twice each year, they need ways to store this data. Not just store, but also process, search and analyze data from time to time. All this requires IT infrastructure, which involves a lot of cost. As an innovative stride forward to help organizations save considerably on this cost of hardware, SiSense, Big Data Analytics Companyhas designed a way to do analytics in the cache memory of Central Processing Unit – Analytics on a Chip i.e. The idea of rethinking business intelligence – with high speed and smaller sets on multicore processors began way back in April when SiSense received $10 million in Series B funding from Battery Ventures along with Opus Capital and Genesis Partners. SiSense has basically worked out a technique to make analytic software work on multicore processors, say a parallel computer cluster on a Chip. Explaining the efficiency of the system, SiSense CTO EldadFarkash says that their big data analytics on a chip system can run queries against almost 20 terabytes of data on the Chip. According to Farkash, their technology works on Intel and AMD multicore 64-bit architectures and is probably the first to support Intel’s new Haswell architecture. Explaining the applicable use of the technology in the future, Farkash says an analytics system like theirs would be something we will carry in the palm of our hands, it will be a system that will work on new age iPads and Android tablets with terabytes of storage. Seen from a broader prospective, SiSense could be a deviation from high-performance computing ofbig data on Hadoop Hive. This could really save enterprises a lot that they end up spending on maintaining their data and analyzing it using various platforms. SiSense makes for a good way to diverge big data analytics beyond Hadoop hives, your take? Via: InformationWeek

Big data to drop insurance costs for young drivers

Big data to drop insurance costs for young drivers

Car insurance firms in most parts of the world are using big data to monitor driver’s behavior and assist them in lowering insurance costs. Big data is also helping them improve their driving. 

Insurance firms like the Progressive in the United States, Generalli Insurance Group in Italy and Tesco Bank in the United Kingdom are employing different way to track their customers driving routine and are using this data to minimize insurance costs for better drivers.

The idea of monitoring individual drivers is to offer them lower insurances prices and also to make them better drivers. The Insurance companies believe that by observing directly how people drive, the firms will be able to change the way insurance works.

The Insurance companies have adapted this new technique of monitoring driver data since years old technique has just recently become affordable. In the first phase, firms for now are trying to convince customers that observing driving behavior is actually a good thing, and customers are only trying to get used to be tracked every second.

Big data telematic progressive

How this works

Insurer Progressive in the U.S boasts of more than a trillion seconds of driving data from a total of 1.6 million customers. To monitor every individual, the insurer installs their Snapshot device – dubbed telematic, in a person’s car to monitor every second data of the speed in which an individual drive, what time of the day they drive. The telematic beeps thrice when brakes are applied suddenly.

The idea behind installing telematic in the cars is simple, to train people to drive better. The Insurer believes observing individual’s driving can help change the way insurance works. They opine that youngster at 18 pay a lot for insurance, but there are some really good and safe drivers at 18 who deserve better deals.

New scope against traditional car insurance

Traditional car insurances are based on the concept of averages and not specifics. All you have to do is fill out a form stating your age, type of car you drive and other things like gender etc and based on this information, your risk is mapped and you are put into certain predetermined insurance slab. So in nutshell, thousands of people with have the same risk insurance, when their driving abilities are different, and risks are different.

Eventually, most people end up over paying for their car insurance!

The applications

With big data technologies like the telematic and other ways of analytics to collect data from social networks and other platforms, insurers will be able to augment risk profiles of individuals and better insurance costs based on this avalanche of data for them.

If data monitoring reveals that a driver drives less frequently, and drives safely, then the person should be able to save on his insurance cost (which should be lesser compared with someone who is similar in age and type of car ownership, but has a rash driving behavior). Using big data analytics is the easiest way to achieve this.

Currently however, only 2 percent of US car insurers are offing driving monitored insurance, but this is expected to rise by 10-15 percent in next five years. The big data analysis besides determining risk profiles can also help determine the driver at fault in an accident.

Source: BBC