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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

Cloudera and Udacity partner to deliver Hadoop and Data Science training

Cloudera and Udacity partner to deliver Hadoop and Data Science training

Data education giants Cloudera and Udacity have formed a strategic partnership to address the shortage of big data skills by offering easily accessible online training for everyone. The partnership will offer open Hadoop and MapReduce Courses tailored to equip students with technical and analytical skills to have a great career in the emerging data market.

In the present scenario, as the amount of structured and unstructured data being generated and stored around the globe in various sectors has shot up considerably, there has been a significant rise in the enterprise demand for skilled and qualified workers.

Big data

Recently we read about Udacity introducing paid big data courses to bridge this widening gap of demand and supply, today we learn that Cloudera, a Apache Hadoop-powered market leader in enterprise analytic data management has partnered with Udacity, the online higher education provider, to deliver training on Hadoop and Data Science to anyone using Udacity’s easy to access online educational portal.

The course curriculum, which has be designed and developed by expert faculty at Cloudera University in collaboration with Udacity will equip the interested students with all the fundamental technical and analytical skills. The course is basically an introduction for Hadoop and MapReduce, understanding of which will help students kick start their careers in the every growing big data economy.

The course has been basically created to work as a support system for the shortage of skilled data professionals in the economy. With the course, Cloudera and Udacity are making available an open, state-of-the-art big data training within the reach of almost anyone who has access to the Internet and is passionate about learning the basics of Hadoop and MapReduce.

On completing this accessible course, students will have an opportunity to enroll in Cloudera University’s live professional training courses to earn certification for their professional training.

Via: MarketWired

11/22/20131 commentRead More
To bridge market needs Udacity introduces paid big data courses

To bridge market needs Udacity introduces paid big data courses

Data analysts and data scientists are already in big demand. According to various surveys there will be an exponential requirement of big data experts around the globe in next three years, with 190,000 data science experts needed in US alone. Given this demand, data science courses are a good career option. In addition to various free online courses, Udacity has introduced paid courses to impart more refined and superior education. 

Choosing to launch full time experience in data science courses, Udacity recently announced two new initiatives for students. These include Data Science and Big Data Track and Paid Course Enrollment. The idea behind paid courses is to improve the focus on the free online courses that are otherwise very unprofessional.

Udacity paid big data courses

For the new courses, Udacity will make available both a new track and a new personal coach for students who register and enroll for the course by paying a monthly pre-determined fee. The courses comprise of lectures, project and auto-graded exercises in addition to the online content (which is available for free).

Significance of Udacity’s paid course

When asked about the importance of paid course, Udacity informed that enrolling in a paid course is like going to a great class, in contrast to a free online course which is like reading through a book aimlessly.

According to Udacity, the paid enrollment course will begin from January 2014. The charges under the scheme will be charged per month/per course. The good thing about the courses will be that these will continue without any rigid schedule. There will be no fixed start and end dates, so the students will have the flexibility to take as long as they desire to finish a particular course.

The real advantage that students will have with Udacity courses is that during the period of enrollment, students will have access to a personal coach who will assist them through the projects and guide them with advice and feedback. Students will also benefit with verified certificates, which will be presented for the accomplishment at the completion of the final project and exit interview.

Project work

Udacity’s paid enrollment scheme will lay extreme emphasis on project work. This is because a good job takes more than a good resume. Udacity course will thus require lot of project work, which will help students show off their projects as portfolio to their employers. This will increase their opportunity to get employment and enhance their practical knowledge.

Paid enrollment scheme – cost structure

Presently, Udacity has only released information about a few courses. Students who are enrolling in advance are being offered 30% discount. The discount in enrollment is available for four courses which are part of Data Science and Big Data Track. For entry level course the cost is $150 per month (discount available now) and for intermediate courses like Data Wrangling with MongoDB, which will be two month course, the cost is $200 per month (discount available now). In January a couple of more beginner level courses will be added.

Via: I-Programmer

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

Ford’s new green future driven by big data

Ford’s new green future driven by big data

Ford considers big data analytics as the next frontier of innovation and productivity. It has been using big data – in and out of vehicles, to design new age eco-friendly vehicles that will help the environment appreciably.  Talking about green automobile innovations, there is hardly any manufacturer that can come close to what Ford has delivered to the environmentally conscious world in the past few years. There are many outlining things Ford has done differently to get to the pinnacle, but one thing that stands apart from the rest is use of big data to its advantage. Ford Logo Ford has invested a great deal in big data technologies and analytics. This investment has permitted the automaker’s scientists and researchers to understand realistic fuel economy targets and green routing services. In addition to learning about the availability of rare raw materials that go into the making of in-car batteries and powertrains. Ford took the decision of investing in big data on the recommendation of the company’s Research and Innovation Center, which came into existence towards the end of 1990s. The Center began providing small insight based on the information extracted from the avalanche of data. But with time, the group has begun providing broad information on climate science findings and weather trends etc. that can influence Ford’s decision making about developing new products and services. The information derived from diagnosis of big data is helping Ford achieve new standards in green automobile technology. In spite of heavy investments in big data technologies, Ford has not been able to streamline and sort all the data. This data is still stored in different pockets, which makes most information exist in isolation. Ford however is working on ways to find solutions to this. Ford’s new vehicles are producing gigabytes of data each hour. The automaker is working on ways to seek permission from vehicle owners to collect all this data in cloud data centers to analyze it and use the information to add useful green services to its vehicles. Ford also hopes to use the data collected from its fleet to help automate green routing system so that the vehicles can automatically optimize their speeds to create least impact on the environment. Ford scientists, computer modelers, mathematicians and other researchers have determined from big data analyses that Ford, in particular, is better investing and creating vehicles based on alternative engines like hybrid, all-electric, plug-in electric etc.

Jut raises $20 million Series B funding to ride on top of big data arena

Jut raises $20 million Series B funding to ride on top of big data arena

Jut, a San Francisco-based Stealth mode platform developer for enterprise software to handle big data is slated to be a new entrant in the big data industry. To make its way, Jut has secured $20 million in a Series B funding.

Jut is developing big data software for enterprises, in a round led by Accel Partners with LightSpeed Venture Partners and Wing, Jut has raised funds to expand its engineering team and to have the first version of its product hit the market.Jut big data VC funding

Jut, with the funding, hopes to provide technology to enterprises by which they will be able to deal with the avalanche of data – called big data. In event, Jut articulates a vision to ride on top of the big data arena.

It is believed, and Apurva Dave, vice President of Marketing at Jut professes, by 2016 big data will cost over $200 million in IT spending. This bulk spending will not only be on the infrastructure to store and maintain big data, but it will be a spending on acquiring services and products that will help derive meaning from this mammoth data.

Jut will provide enterprises with big data infrastructure that will help them store, analyze and derive meaningful insight from big data.

The funded capital will be utilized by Jut to expand its engineering team. The capital will also be used in order to bring the first version of its product to the market. Jut is developing a development-based company with open-source culture, which thrives on the concept of data-based decision making to provide answers to the hardest question of big data.

Disney Has Been Really Creative with Big Data

Disney Has Been Really Creative with Big Data

Disney World is using big data to its advantage, a lesson small and big companies can take to use big data for their benefit. The “House of Mouse” is upgrading big data to the tune of $1 billion; the project aims to enhance user experience and make their visit to Disney World more awesome.

Watching people waiting in lines without a FastPass at the Walt Disney World can soon be a sight of the past. Disney is going to implement a new system that could make your visit to the House of Mouse highly personalized.


In order to take advantage of the magical realm of big data, Disney has introduced a new system – the MyMagic-project, wherein RFID equipped wristbands tell the Disney World employees what their guests in the park are up to. The MagicBand (bracelet) allows the guest wearing it to enter the Disney resort, buy food and other souvenirs, get on to the rides (in a predefined slot) and/or barge into the Disney hotel room – all by just touching the bracelet. Great idea, no?

Disney World - MyMagic Project

A Novel Beginning

Disney isn’t a very new player in the big data industry – Disney has been collecting a great deal of information for its marketing campaigns. This new step, however, is actually very novel. This is for the first time that Disney will track customer behavior at such minute level.

Complexity – When BIG DATA Enters the Picture 

Considering the scope that big data will open for Disney, it is important to understand the amount of data that will be generated by each person entering the world of Disney and how all this data will be analyzed and used to customize every person’s visit. Collection of data will begin right from the gate when someone will buy a ticket and places an order to use the MagicBand.

Now, imagine the convolution that Disney will face to optimize the data of each entrant to offer a tailor made experience for its customer. Addition problem will be the concern for privacy that people will show – Disney has out-rightly claimed that people will have the choice to control the amount of data that want to be shared.

MyMagic-project: Use and implementation

The all new system – MyMagic, is in the testing phase at the Disney World, according to reports; the MagicBand bracelet is being used to track all visitors attending the park annually.

How it works: The MagicBand bracelet works in two ways. Equipped with short range sensors, the bracelet allows visitors to make payments at the theme park or to open their hotel rooms. Embedded with long range sensors, the wristband allows Disney employees to keep track of what the guest is doing and where he/she is in the theme park.

Implementation benefits: There are two main purposes of the technology. One is to provide guests a customizable experience at the park and second is to increase the revenue by hoping to elongate guests’ visit time in order to get an opportunity to extract additional cash.

This innovative use of big data by Disney can be an example for many companies around the globe.


Gartner Big Data 2013: Highlights

Gartner Big Data 2013: Highlights

Gartner’s annual big data survey report for the year 2013 was released recently. As expected, the highlights of the survey were pretty startling. The survey revealed some beliefs in big data backed by evidence.

Gartner Big Data 2013 - HighlightsThe biggest revelation of the year’s Gartner survey was that 64 percent of companies globally have already implemented or are planning to implement big data systems. The percentage reveals that nearly 30 percent companies have already invested in the big data systems and 19 percent are on the verge of investing in the technology over the next one year. Additionally, the survey shows that another 15 percent companies are willing shell out some money over the next couple of years.

The percentage exposed by the survey is a significant number, which goes on to prove that there is a genuine interest amid the companies to imbibe the new big data system. A large chunk of enterprises are looking at ways they are managing their data and wish to hunt for new ways to get the best out of the ever growing data industry.

The surveyed  

Gartner LogoAccording to Gartner, the survey was basically focused on companies (720 Gartner Research Circle members) and was carried out in June 2013. Designed primarily to understand the investment plans of various organizations for big data technologies, what stage of implementation the companies have reached and how the big data is helping these enterprises solve problems.

Despite being a very confined survey, due to the variety of companies surveyed, this survey is a broad and effective representation of how the world of big data is shaping up and how the enterprises (big and small) are adapting it.

The Prominent Findings

The survey reveals that the industries that lead the big data investments for 2013 include media, communication and banking.

According to Gartner, about 39 percent of media and communication organizations vouched to have already invested heavily in big data technologies. 34 percent of banking organizations also said they have made investments in big data. According to the survey, investments for the next couple of years are majorly lined up in the transportation, healthcare and insurance sectors.

What Is Instigating Companies To Invest In Big Data?

Following a strong precedent set by the billion dollar companies like Google and Facebook, almost all enterprises worldwide have understood that big data usage can have a significant impact on revenue. Therefore, it is not a surprise that more and more organizations are looking to invest in big data.

 Big data in most cases, if analyzed and used properly, can help companies learn about customer experience and customer expectations. Big data analysis helps produce highly useful insights that helps companies make really smart business decisions.

All Are Valuable Members of Hadoop Community says Cloudera CEO

All Are Valuable Members of Hadoop Community says Cloudera CEO

Within three months of his taking over the leadership of the company, CEO Cloudera Tom Reilly has already visualized where the company is headed.

Cloudera CEO Tom ReillyAccording to him, one needs to have a strong and far-sighted vision for the company if it is to compete against the likes of Hortonworks and MapR for a share of the pie in the highly evolving Hadoop market.

Despite the tough competition, Reilly remains a well wisher for his rivals, whom he views as valuable members of the Hardoop community. His message to his employees is also the same – consider all your competitors as valuable contributors for the success of the community.

Interestingly, Reilly credits Hortonworks, one of the fellow startups and rivals, for driving the development of YARN, which has provided the much needed impetus to every major player in Hardoop.

He also affirmed that the real competition his company faces is from information giants such as Pivotal and IBM, and not other start up rivals.

Cloudera’s CEO was a little shy in sharing details about the change of focus of his company. He has kept the details safe for a public announcement during the Hadoop World conference to be held next week.

Nevertheless, industry watchers estimate that Reilly’s plans for Cloudera are bigger than before. He doesn’t want the company to become just another Hadoop distribution company. With an ever growing list of features and over 700 partners, he aims to make it a data giant that delivers real value to enterprises.

When confronted on the question of Hortonworks luring away Spotify from Cloudera, Reilly has altogether a different take. He confesses that the development surely hurt from a public relations perspective, but it’s not something that will pull the company’s shoulders down.

All Are Valuable Members of Hadoop Community says Cloudera CEO

He explained that Spotify wanted a comprehensive enterprise support and was no longer interested in making use of the free version of Cloudera’s software. Along with Hortonworks, his company too listed a price for the deal. However, Hortonworks managed to put up a slightly better contract and Cloudera didn’t try to match it intentionally, claiming it didn’t make good business sense for them.

Reilly appears too outlandish when he states that the deal didn’t matter much to them and Spotify only managed to earn a low priced vendor with this contract. But deep within, Reilly knows that in order to make his company ride towards profitability, he needs to turn out better than his competitors.

Experts believe that even though Cloudera has a lot on its platter, the 800 pound Hardoop startup can’t distance itself from the present competition.

Unless the company takes a big leap to stand in line with information giants, it will have to live with the image of a Hardoop startup.

Strata + Hadoop World 2013 an event for big data junkies

Strata + Hadoop World 2013 an event for big data junkies

The Strata + Hadoop World will see some of the most influential decision makers, developers, analysts and architects of big data come together to streamline the future of business and technology. Anyone who wishes to tap into the opportunities foresighted by big data needs to be at the Strata + Hadoop World, since the event is one of the biggest gatherings of Hadoop community anywhere in the world.

Strata + Hadoop World 2013

The future definitely belongs to companies and organizations that learn how to manage the influx of large data to their advantage. And to be able to understand the significance of big data and how it can be streamlined to one’s advantage it becomes really important to make an appearance at the Strata + Hadoop World.

The great event is part of NYC DataWeek celebration, which explores people and organizations dealing with big data to fuel innovation in the city of New York. NYC DataWeek invites all people to attend data related events, most of which are open and free to attend.

Why you should attend the event

  • It is an opportunity to understand the advantages and challenges of big data
  • Find new and innovative ways to channelize data assets
  • Understand and learn how to use data from science projects to your advantage in business application
  • Know about the career opportunities for data scientists (professionals) and how they can be hired or what training is necessary
  • Meet in person with people from same walks of life and learn from their data managing skills

The popularity of the event is such that with five odd days to go, the Strata + Hadoop World 2013 is completely sold out. The event is going to be a great affair, so you must not miss it. In case you cannot attend the event in person, you can participate in either of the following ways:

  • Follow @strataconf on Twitter for news and updates
  • Watch it live, including keynotes and interviews beginning October 29
  • Take home video compilation of Strata + Hadoop World 2013. It will be complete with keynotes, sessions, interviews and tutorials etc.