Tag Archives: Big Data Hadoop institute in noida

Blockchain Technology 101: A Beginner’s Guide

The Blockchain, the brainchild of a single curator or a group of specialists known by the nom de guerre, Satoshi Nakamoto is indisputably a brilliant invention. With the passage of time, it evolved into something greater and more insightful.

 
Blockchain Technology 101: A Beginner’s Guide
 

Drop by DexLab Analytics to know more about Big Data and Data Analytics courses.

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4 Ways Airlines Industry Can Use Big Data for Better Customer Satisfaction

While waiting to board your plane, the last thing you would want to hear is – we regret to inform, your flight has been delayed or worse cancelled, leaving you exasperated at the very hour. Even though your flight takes off on time, while waiting in front of the baggage carousel, you may face some moments of anxiety before your bag arrives on time. Luckily, these distresses are now becoming a thing from the past.

 
4Ways Airlines Industry Can Use Big Data for Better Customer Satisfaction
 

Things are changing, and technology world is evolving drastically. By leveraging Big Data and technology upgrades, aircraft industry has been able to improve their operations and work more smoothly and accurately. In addition, the air travel industry is witnessing several benefits, in terms of revenue and consumer satisfaction.

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Will GST Boost The Big Data Revolution? The Answer lies Within

It is July 1st, 2017 – the epic day when GST, aka The Goods and Services Tax comes into effect, simplifying the whole tax collection procedure of the nation. From today, there will be a single tax on the supply of goods and services that will replace all other state and central levies. GST is pegged to be one of the most impressive economic tax reforms implemented by PM Narendra Modi to take Bharat to the summit of transparent digitization.

 
Will GST Boost The Big Data Revolution? The Answer lies Within
 

Data is crucial. While it ushers in a greater transparency and simplified tracking through data, it also unleashes the requirement for Data Analytics and ERP solutions. Besides, GST includes several billing software and payment gateway channelization, triggering plenitude of job opportunities in the IT sector. Reports say it is going to be a $1 billion opportunity for IT vendors over the next two years. Quite a lot to think about!

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Big Data is the Magic Wand to Cure Healthcare Industry Hiccups

Spurred by advanced Analytics and Big Data technologies, Healthcare industry is going towards a major transformation, of course for the good! The catalyst here is none but our very own, our most favorite Big Data – it is robustly opening all the doors of health and medical science, and the possibilities seem endless.

 
Big Data is the Magic Wand to Cure Healthcare Industry Hiccups
 

Electronic Health Records have been around for sometime – numerous systems of variable reliability have been designed to ensure data is more easily accessible as well as transferable between the healthcare professionals, institutions and whatever it is for better patients’ care. With Big Data, scientists are coming up with improved sophisticated methods of incorporating the derived information with the data from innumerable number of health-related sources. The main objective is to make the best use of the relevant information in consultation with the doctors and patients to serve in the best way possible.

 
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Nowadays, plenty of veritable companies provide systems which not only help in providing the doctors a detailed study of a patient’s medical history but also supply with data that can be used largely for fine treatment purposes. Highlighting correlations between different medical conditions inaccessible before, sparing insights into how these conditions may be influenced by other factors, like treatment methods or in which part of the world they are taking place are some improvements to be witnessed now.

 

As estimated, 75% of healthcare data is generated from unstructured sources like clinical notes, laboratory tests, emails, telematics, digital devices, imaging and third party sources. This data revolution is brought to you by Big Data, and this is how you can derive the best of its benefits:

 

Reduce fraud, abuse and waste

We all know how fraud, abuse and waste have been spiking healthcare costs, thanks to data science, the tides are changing now. To ascertain abuse and fraud, insurers require the expertise to analyze large unstructured datasets related to historical claims using machine learning algorithms.

Improve outcomes, embrace Predictive Analysis

Predictive Modeling is helping the health world in detecting the early signs of life threatening diseases, like sepsis. The availability of a vast pool of patients’ data means Predictive Analytics would find not only similar symptoms but also will curate a similar response to a specific medication.

Healthcare Internet of Things

The Internet of Things (IoT) is the aggregation of the increasing number of smart, interconnected, technology-efficient devices and sensors that share data over the internet. In healthcare, IoT refers to the devices that monitor almost all kinds of patient behavior, right from blood pressure to ECG. As per statistics, spending on healthcare IoT could cross $120 billion mark in the coming four years and the possibilities are quite high.

 


Minimum costs but better patients’ recovery rates

Through data convergence, stream processing and application agility, full-scale digital transformation is now possible in the medical world. Improving patients’ diagnosis is a new milestone achieved in the field of medicines and it has only been possible due to advancement in data science.

 

On this National Doctor’s Day, celebrated on 1st July nationwide, take a big leap in career by enrolling for a Big Data Hadoop course in Gurgaon. DexLab Analytics is the proud name behind such intensive big data training in Delhi, browse through our courses today.

 

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The Big Boost in Big Data Jobs in 2017: What the Study Suggests

Big Data is the new big name in the present tech industry. Day by day, it is burgeoning and becoming capacious for companies, including corporate, SMBs and budding startups. It is also the major reason for better opportunities for people, who want to explore newer career realms across sectors, such as healthcare, banking, education, government, retail and manufacturing.

 

The Big Boost in Big Data Jobs in 2017: What the Study Suggests

 

The current IT industry is passing through a jinxed phase, where a lot of layoff fears are on the airwaves but the field of analytics remains largely unaffected. In fact, the number of analytics jobs in the past one year has nearly doubled, as per a report by Analytics India Magazine – a platform for big data, analytics and data science and Edvancer Eduventures – an online analytics training institute. The Analytics & Data Science India Jobs Study 2017 has predicted nearly 50000 positions related to analytics are at present available to be filled in India.

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Celebrate #InternationalYogaDay: Get the Most Out of Yoga from Big Data

Celebrate #InternationalYogaDay: Get the Most Out of Yoga from Big Data

 

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.

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Big Data Salary Report 2017: A Gateway to a Great Career in Analytics

Big Data Salary Report 2017
 

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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What to Expect: Top 4 Hadoop Big Data Trends 2017 Reigning the Healthcare Industry

Of late, we have been scrounging through plenty of news about healthcare challenges and gruelling choices confronted by hospital authorities, administrators, researchers, pharmaceutical in-charges and clinicians. Coupled with that, consumers are battling increased costs without corresponding enhancement in health security or in the authenticity of clinical consequences.

 
What to Expect: Top 4 Hadoop Big Data Trends 2017 Reigning the Healthcare Industry
 

However, just as every dark cloud has a silver lining – the healthcare industry is now at the threshold of a major transformation using the stroke of luck Big Data and Hadoop.

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Tigers will be safe in the hands of Big Data Analytics

Once again, good news is in the air for our very own ‘Big Cats’. The very recent reports on Tiger Census have proudly announced the incredible rise in the number from 1,706 to 2, 226 since 2010, when the counting started.

 
Tigers-will-be-safe-in-the-hands-of-Big-Data-Analytics
 

The previous years have seen the major downfall in the number owing to reasons like poaching, environmental degradation, dwindling habitats and of course man- nature conflict . But in contrast, the combined efforts put forwarded by local communities, conservationists and the Government has resulted in the upliftment, as stated by Marco Lambertini, Director General of WWF International.

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What Does The Market Look Like for Hadoop in 2017 – 2022?

It will be a simple understatement to say that Hadoop took the Big Data market up by storm this past years from 2012-2016. This time-period in the history of data witnessed a wave of mergers, acquisitions and high valuation rounds of finances. It will not be a simple exaggeration to state that today Hadoop is the only cost sensible and scalable open-source alternative option against the other commercially available Big Data Management tools and packages.

 

What Does The Market Look Like for Hadoop in 2017 – 2022?

What Does The Market Look Like for Hadoop in 2017 – 2022?

 

Recently it has not only emerged as the de-facto for all industry standard business intelligence (BI), and has become an integral part of almost all commercially available Big Data solutions.

 

Until 2015, it had become quite clear that Hadoop did fail to deliver in terms of revenues. From 2012 to 2015, the growth and development of Hadoop systems have been financed by venture capitalists mostly. It also made some funds through acquisition money and R&D project budgets.

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