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Hadoop 2017: The Survivor and Not the Casualty

Hadoop 2017: The Survivor and Not the Casualty

 

Most people decipher – Hadoop and Big Data are the two sides of the same coin. Adding the fascinating word to your resume leads to better opportunities and higher pay structure. But what the future holds for Hadoop? Is it dismal or encouraging?

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6 FAQs to Get Acquainted With the Fundamentals of Big Data

6-FAQs-to-Get-Acquainted-With-the-Fundamentals-of-Big-Data

By mobilizing the volume and wealth of information in an organization, Big Data leads to improved customer perceptiveness, competitive advantage and operational efficiency. In the current data-centric era, big data is the buzzword. Nevertheless, how many of you actually know what it entails?

In this blog, we have compiled few FAQs, which will instantly shed some light about the basics of Big Data and its implementation.

Also read: Tigers will be safe in the hands of Big Data Analytics

What is Big Data?

Substantially complex, big data involve hundreds and thousands of terabytes or exabytes of data (starts with 1 and has 18 zeros after it, or 1 million terabytes) per single data set. If explained in simple words, big data is a collection of data sets, which comes from a variety of sources, like customer data, Internet of Things and social media. If compiled and analyzed in the right manner, it helps in understanding the nature of the lifestyle and purchasing habits of people and customers better.

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To be called Big Data, how much data is needed?

The answer to this question is a bit challenging. Depending on the infrastructure of the market, the threshold limit of big data is determined. In most of the cases, the lower boundary of big data is limited to 1 to 3 terabytes.

However, using big data technologies for small databases can prove to be effective. Netezza brings about 200 built-in computer programs, like Python and Revolution R, which gained immense appreciation for being applicable to small databases.

Also read: Why Getting a Big Data Certification Will Benefit Your Small Business

Is there any use of intuition in the current epoch of big data? Have machines completely superseded the human mind?

Intuition is consequential, as ever. Staring at the humongous amount of data compels us to start from somewhere. As there is so much data, intuition is important, like never before. If you ask me, big data hasn’t yet replaced intuition, in fact the latter somehow complements the former. Both of them share a continuum relationship, instead of binary.

What are the main sources of big data?

Transactional data, social data and machine data- are the chief sources of big data. Top-notch retailers like Amazon and Dominos boasting of more 1 million customer transactions per day results in to the generation of petabytes of transactional big data. Social media data comprise of 230 million tweets on Twitter per day, more than 60 hours of video uploaded every minute on YouTube and 2.7 billion Likes and Comments on Facebook appearing every day. Lastly, machine data can be boiled down to various modes, including the information generated by industrial equipment, web logs tracking behavioural data and real-time data emanating from sensors.

Also read: Big Data is the New Obsession of Small Business Owners

Is data visualization gaining popularity?

Adopt interactive data visualization tools and take your business to new heights. These tools are rewarding, say thanks to Big Data! Big conglomerates, like Google, Netflix, Amazon, Apple, Facebook and Twitter embraced the tools to visualize data. And this goes beyond the basic usage of graphs, excel charts and pivot tables.

Is big data going to last?

Well, yes, very much so. Big Data is leading the future and is going to stay HERE AND NOW. It is right on its way to fundamentally transform the ways in which companies function and regard their competitors, customers and overall business.

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Are you thinking to kick-start your career with Big Data Hadoop courses, or have any other queries? Speak to our consultants at DexLab Analytics. Our Big Data Hadoop institute in Delhi will cater to your every data science needs.

 

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Attributes of Effective Data Monetization Strategy

Attributes of Effective Data Monetization Strategy

The saying goes – ‘necessity is the mother of all inventions’ and with the advent of globalization we have witnessed this aphorism in its sincerest form. A new wave of competition and profit generation owing to the advent of the internet, within the labyrinth of our society has led to the creation of Data at a scale previously unthinkable. To capture the essence of this huge amount of data, a new term Big Data, was coined which meant extremely large data sets, which are to be analyzed to reveal patterns that lie within.

Today, technology has become the backbone of the society and data is its vertebrae. The technological boom began and became common around year 2000; this is when data monetization became apparent.

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To simplify, data monetization is the act of generating revenue by exchanging, processing and analysis of data. Processing and analyzing means extraction of value from a particular set of data; eventually this value is to be interpreted to make decisions.

The need for data analysis is apparent since the digital universe is expected to grow 50-fold in terms of data by 2020, yet today only about 1% of the data is analyzed.

To capitalize on data monetization, we can employ the following approaches:

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  • An improvement in internal business processes – To locate synergy between different results, one result may provide some information, but coupled with another piece of result obtained, the synergistic outcome may be far more valuable.
  • Wrapping information around core products and services – This can be accomplished through understanding the target customer (analysis of their online presence can yield valuable information), and many companies are already indulging in these practices.
  • Trade of information to existing markets – This can often lead to be the most profitable of the three approaches, depending on the information, which it possesses.
  • Developing a technological structure – A technological infrastructure, capable enough to churn a real time data and provide real time results would be a boon to any business.


Already 70% of the large institutions purchase external data and monetization of the informatio
n asset is still in its infant stage. According to a study performed by Gartner, Data Monetization will be performed by 30% of the companies or more and in a survey conducted by IBM, data monetization was found to be among top 5 priorities of an organization.

The above clearly implies the upward trajectory growth in the near future in this industry, and with the application of the above-mentioned approaches, an effective strategy can be implemented by any organization hoping to be a part of the Data Monetization phenomenon.

Get the best Big data certification with our specialists at DexLab Analytics.

 

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
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To learn more about Big Data Course – click here.

How-Stat: This IPL Season Embrace Big Data Analysis and Predict It Right

How-Stat: This IPL Season Embrace Big Data Analysis and Predict It Right
 

Quick coffee breaks, some time-off from work and engrossing IPL discussions – a perfect office scene described during an IPL season.

 

IPL is here! Indian Premier League 2017 has started!

 
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Cricket is not a sport, but a religion. In India. If there is a match going on, every trivial thing takes a back seat. After all, everything other thing can wait, but not cricket!

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How will IoT help Industrial Class?

How will IoT help Industrial Class?

Internet of Things (IoT) is the new buzz these days. The new tide of connectivity goes beyond smartphones and laptops. It includes smart homes, smart cities, smart cars, connected wearables and tries to provide a “Connected Life”. People are increasingly becoming aware of the applications of IoT in their daily lives.

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However, little do they know about the application of IoT in Industries, commonly known as “Industrial IoT”. Through this blog, we would like to share our thoughts on how IoT can save time, energy and money in industries.

SUPPLY CHAIN MANAGEMENT

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Notable research firm, Gartner in its research highlighted that a thirty-fold increase in Internet-connected physical devices by the year 2020 will significantly alter the mechanism in which supply chain operates. For quite some time, ERP and Supply Chain Management have been going hand-in-hand. However, IoT will revolutionize the entire supply chain management process by smartly connecting people, processes, data and things through sensors and devices.

Through IoT, a firm can do the following tasks:

  • Real time fleet management – A firm can optimize its fleet routes by monitoring real time traffic conditions and save fuel costs.
  • Inventory Monitoring– A smart label can be attached to every product/ container so that the movement of every product/ container can be tracked. This will help in reducing the probability of stock out situations due to insufficient stock, theft, pilferage etc. 
  • Storage Condition Control– Temperature stability can be ensured with connected devices and sensors.
  • Predictive Maintenance– IoT can help in knowing about product issues in time to find solutions.

ENERGY MANAGEMENT

Nowadays, every firm is trying to reduce its ecological footprint. IoT can be helpful in achieving this goal through smart energy. A bulb or tube light in the factory can switch on automatically as soon as a worker passes by and switch off once the worker has left. This will help in saving electricity costs.

TIME MANAGEMENT

IoT can be helpful in reducing the overall time taken in production of goods and services. For example- Setup time can be reduced by switching on the machines before the workers arrive at the factory, thanks to connected machines and smart phones. Inventory monitoring and tracking time can also be reduced through IoT. IoT can also be useful in managing the workflow in an event of accident at the factory. In case of an accident, an alarm can be rung in the factory, providing all the relevant details about the accident to the workers. The work can then by diverted through some other route, or some other worker can be employed as soon as possible in place of the injured worker. All this will save time.

Another use can be spending less time on searching for equipments at the workplace. Since equipments and devices are interconnected and geographically tagged, workers can find equipments more easily instead of searching them around. Also, if workers know a piece of equipment has location-tracking, it acts as a deterrent from potential theft (the National Retail Federation estimated that in 2011, employee theft cost companies a whopping $34.5 billion).

Thus, IoT offers great opportunities for the industries, which ensures better and faster production of goods and management of processes. 

To learn more about IoT, take up courses on Machine Learning Using Python. Check out DexLab Analytics for further details on SAS training courses.



Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

Go Harder, Longer, Faster, And Stronger With Impressive Corporate Training Programs

Let’s acknowledge, we are living in a digital world. Whether you attend a business dinner, work in the oil fields or inspect warehouse records, the claws of digital technology grips you daily. Today’s digital world revolves around communications, and Avaya is a pioneer in delivering brilliant communications experiences.

 
Go Harder, Longer, Faster, And Stronger With Impressive Corporate Training Programs
 

The expert consultants at DexLab Analytics – a top-notch big data training institute in India is conducting a three-month long training program for selected officials of Avaya at the company’s Pune branch. The consummate team of Business Intelligence, Data Warehousing and Analytics representatives from Avaya will stay in Pune, till the session is completed.

 


 

Headquartered in Delhi, DexLab Analytics feels extremely honoured in heading such an inspiring event with an acute vision of imparting knowledge and skills to individuals. The diligent team of consultants is going to share deeper insights on subjects, like R Programming, Data Science using R, Statistical Modeling using R, Advance Microsoft Excel – VBA, Macros, Dashboards and Tableau BI & Visualization. The sole purpose of this training is to equip the team of Avaya with modern state-of-the-art data technology so as to give them a certain edge over their rival tailing companies.  

 

In this age of digitisation, and when Modijee is in his endeavour to make India Digital India, how can we ignore the reverberating importance of analytical skills! One of the prime advantages of great analytical skills is that you can take crucial decisions to fulfil your organization’s aims and objectives. The vast amount of real time data is at your disposal, and with them, you can easily achieve success and growth in the future.  Therefore, it is evident that the need for analytical skills is going to swell in the coming years, and DexLab Analytics is a reputable business-analytics training institute, which strongly believes in the growing significance of digitisation using data science and analytics.

 


 

In the context of the above discussion, the spokesperson from DexLab Analytics has this to say –


 

“DexLab Analytics with its team of seasoned corporate trainers offering valuable insights about the high-in-demand skills, like Big Data Hadoop, Business Analytics, R Programming, Machine Learning, SAS Programming, Data Science, Visualization using Tableau and Excel are seeking ways to fabricate a path towards corporate training excellence in the wide-encompassing field of Big Data and Data Analytics. Our intensive training module will help officials confer an exhaustive analysis of a newer domain of data science, which will make them more data-efficient and data-friendly.”

 

Recently, the expertise in big data has been recognised as a major component for achieving success in the advanced digital world and the concerned representatives are acknowledging this impressive view. So, let’s hope this take on data analytics motivates more people, paving new roads for data-centric ideas and modules in the near future.

 

Are you looking for intensive SAS courses in Pune? Visit DexLab Analytics and scan through a list of encompassing SAS training courses in Pune.

 

Interested in a career in Data Analyst?

To learn more about Machine Learning Using Python and Spark – click here.
To learn more about Data Analyst with Advanced excel course – click here.
To learn more about Data Analyst with SAS Course – click here.
To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

Big Data in Every Day Living

Big Data in Every Day Living

 

Business Intelligence combined with Big Data analytics is stimulating the progress of Enterprises across the globe, along with pulling whooping amount of investment within the Big Data community. The infographic given below on big data in shaping everyday lives elucidates people about how Big Data is making our lives better.

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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.

 
The First Annual Big Data Conference in Pune: Where the Big Data World Meets
 

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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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?

 
Be Bold, Be Big: Celebrating International Women’s Day with Women in Big Data
 

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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