Bored of the same old fitness routine?
This International Yoga Day, dust off your yoga mat and take a holistic approach to health and wellbeing. Continue reading “Celebrate #InternationalYogaDay: Get the Most Out of Yoga from Big Data”
Tag: Big Data Hadoop institute in pune
Big Data Salary Report 2017: A Gateway to a Great Career in Analytics
In the US, big data engineer salaries are predicted to range between $135000 and 196000 in 2017, an increase of 5.8% from 2016 salary structure.
In India, big data professionals are predicted to earn salaries in the range of 9.8L INR to 13.10L INR, increasing 6.4% over 2016 salary level.
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The First Annual Big Data Conference in Pune: Where the Big Data World Meets
The First Annual Big Data Conference in Pune, the largest and sole Big Data event that country is going to witness, will be taking place on 15th April 2017, from 10 AM to 6 PM. The conference will be hosting some of the top-notch speakers from the Big Data domain, including thought leaders, data scientists and data engineers from in and around Pune, India. The focus of the sessions and discussions will be solely on Hadoop, and its related ecosystem and Data Science. Moreover, the conference will also highlight successful big data use cases, implementations and insights, which will help in better implementation of Big Data solutions.
Today, data driven solutions have become a critical factor across mainstream industries. While big data implementations are driving the industries towards success, customer expectations are making ways to embrace the need for Big Data innovations. The First Annual Big Data Conference in Pune will be strengthening the belief that a vibrant big data community embracing new technical upgrades and developments will offer better employment opportunities and enhance the overall local endowment base.
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A Lead to Future: Data Analytics in Pune
“Big data analytics will help bridge India’s tax gap.” Economic Times
“India’s Growing Big Data Future.” NDTV
“The Big News About Big Data.” NASSCOM
“Big data to boost job openings in 2017: Report” Tech Circle
“Big Data for the next green revolution.” Hindu Business Line
Be Bold, Be Big: Celebrating International Women’s Day with Women in Big Data
Big Data is mentioned everywhere, but what is not mentioned is the women who have made Big Data so fetching and widely popular. Though women contribute to half the population, yet their contribution to Big Data’s success is hardly spoken of. Don’t you think they deserve better? Don’t you think they are often underestimated?
International Women’s day, celebrated on 8th March, is right here knocking at the door! So, let’s remember and appreciate the contributions by women, past and present. Here is a comprehensive list of eight influential women who made Big Data bigger in the field of data science and on this remarkable global day, we give a standing ovation to the Big ladies of Big Data.
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Black Money in India Can be Traced With Ease by Applying Big Data Analytics
The economy took a hit with the recent demonetization of the INR 500 and 1000 currency notes. The jury of economists around the world are still debating whether the move was good or not, but it has definitely caused a huge inconvenience for the public. Moreover, exchanging such a large amount of old currency notes is nothing shy of a mammoth Herculean task, as almost 85 percent of the economy is in the form of high denomination currency.
These measures have been taken by the government to curb the flow of Black Money in India and get rid of corruption from its roots. While there is still a mixed reaction from the common people about this move about it being good or bad, technological experts have a different viewpoint about preventing the flow of Black Money in the country. They say that with use modern technologies like Big Data Analytics it will be possible to trace Black Money painlessly and with much ease.
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How To Stop Big Data Projects From Failing?
Here in this post we will discuss with inspiration from the views of insider experts about how Big Data teams and IT personnel can make sense from the right kinds of data which will ultimately allow executives to make smarter business choices and drive results for their business.
The amount of data that has been created in the last two years is much more than the amount that has been created in the entire previous history of our human kind. This has led to an explosion of data analyst training institutes popping up every now and then and welcoming students from diverse backgrounds. Continue reading “How To Stop Big Data Projects From Failing?”
Things To Be Aware Of Regarding Hadoop Clusters
Hadoop is being increasingly used by companies of diverse scope and size and they are realizing that running Hadoop optimally is a tough call. As a matter of fact it is not humanly possible to respond to the changing conditions in real time as these may take place across several nodes in order to fix dips in performance or those that are causing bottlenecks. This performance degradation is exactly what needsto be critically remedied in cases where Hadoop is deployed on large scales where Hadoop is expected to deliver results critical to your business in the proper time. The following three signs signal the health of your Hadoop cluster.
The Out of Capacity Problem
The true test of your Hadoop infrastructure comes to fore when you are able to efficiently run all of your jobs and complete them within adequate time. In this it is not rare to come across instances where you have seemingly run out of capacity as you are unable to run additional application. However monitoring tools indicate that are not making full use of processing capability or other resources. The primary challenge that now lies before you is to sort out the root cause of the problem you have. Most often you will find them to be related to the YARN architecture that is used by Hadoop.YARN is static in nature and after the scheduling of jobs the process of adjusting system and network resources. The solution lies in configuring YARN to deal with worst case scenarios.
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Will Spark Replace Hadoop?
I hope this post will help you to answer some questions related to Apache spark that might be coming into your mind these days related to Spark in Big Data Analytics.