Tag Archives: Big data certification

Data Science: Is It the Right Answer?

‘Big Data’, and then there is ‘Data Science’. These terms are found everywhere, but there is a constant issue lingering with their effectiveness. How effective is data science? Is Big Data an overhyped concept stealing the thunder?
Summing this up, Tim Harford stated in a leading financial magazine –“Big Data has arrived, but big insights have not.” Well, to be precise, Data Science nor Big Data are to be blamed for this, whereas the truth is there exists a lot of data around, but in different places. The aggregation of data is difficult and time-consuming.

Look for Data analyst course in Gurgaon at DexLab Analytics.

Statistically, Data science may be the next-big-thing, but it is yet to become mainstream. Though prognosticators predict 50% of organizations are going to use Data Science in 2017, more practical visionaries put the numbers closer to 15%. Big Data is hard, but it is Data Science that is even harder. Gartner reports, “Only 15% organizations are able to channelize Data Science to production.” – The reason being the gap existing between Data Science expectations and reality.

Big Data is relied upon so extensively that companies have started to expect more than it can actually deliver. Additionally, analytics-generated insights are easier to be replicated – of late, we studied a financial services company where we found a model based on Big Data technology only to learn later that the developers had already developed similar models for several other banks. It means, duplication is to be expected largely.

However, Big Data is the key to Data Science success. For years, the market remained exhilarated about Big Data. Yet, years after big data infused into Hadoop, Spark, etc., Data Science is nowhere near a 50% adoption rate. To get the best out of this revered technology, organizations need vast pools of data and not the latest algorithms. But the biggest reason for Big Data failure is that most of the companies cannot muster in the information they have, properly. They don’t know how to manage it, evaluate it in the exact ways that amplify their understanding, and bring in changes according to newer insights developed. Companies never automatically develop these competencies; they first need to know how to use the data in the correct manner in their mainframe systems, much the way he statisticians’ master arithmetic before they start on with algebra. So, unless and until a company learns to derive out the best from its data and analysis, Data Science has no role to play.

Even if companies manage to get past the above mentioned hurdles, they fail miserably in finding skillful data scientists, who are the right guys for the job in question. Veritable data scientists are rare to find these days. Several universities are found offering Data Science programs for the learners, but instead of focusing on the theoretical approach, Data Science is a more practical discipline. Classroom training is not what you should be looking for. Seek for a premier Data analyst training institute and grab the fundamentals of Data Science. DexLab Analytics is here with its amazing analyst courses in Delhi. Get enrolled today to outshine your peers and leave an imprint in the bigger Big Data community for long.

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.

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Cyber Security Today: Curing Big Mobile Security Holes with Small Steps

You have employees? And they bring smartphones to work? Is everything right? Or wrong?

 

Period.

 
Cyber Security Today: Curing Big Mobile Security Holes with Small Steps
 

The moment an employee carries a personal mobile device, be it a smartphone or a tablet, to work, a merger of personal and professional is bound to happen. And this could definitely give a rough time to the employer. If not handled properly.

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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

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?

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

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

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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.

 
 Attributes of Effective Data Monetization Strategy
 

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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Our Perception Must Include Data-Ception

Considering the complex competitive global environment, the world business today is witnessing a paradigm shift from mere data storage to data mining and other subsequent activities.

 
Our Perception Must Include Data-Ception
 

Thus, from a managerial perspective it is of prime importance to develop a psyche, which can interpret the collection of data. This psyche cannot be theoretically learnt from books, as it requires a knack to make data talk. Data is no more evaluated independently. Today, a cross-domain relationship between data exists, which on analysis depicts patterns, responsible enough to do wonders for the organization.

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The Story of Brontobyte: From a Small Byte to Bronto and More

This is the story of Brontobyte, and how it emerged from a single byte to the massive bronto! It all started on the year 1956, when bronto was a wee small Byte, born to parents unknown at a place undisclosed in pages of computerized history. We know however, that Bronto had a Godfather, from IBM Mr. Werner Buchholz who gave him his name ‘Byte’ in the month of July, 1956.

 
The Story of Brontobyte: From a Small Byte to Bronto and More
 

It is a funny story how Mr. Buchholz almost changed his life since the beginning by changing his name from ‘Bite’ to ‘Byte’ almost at the last minute, so, that he would not get lost in all those bits and pieces! Brontobyte must really thankful to him for doing so, this was a special bit apart from the rest of the bites, a really special – byte! So, it is safe to say that Brontobyte was born somewhere around that time in 1956. And that makes him 61 years old.

 

This is not a tale of bragging about something very usual. It is a tale truly special as you will see later in this biography of Brontobyte. Our friend byte here was born gifted in three unique angles. The first being, as it kept growing it also went on to acquire new names. Like at first, he got the name Kilobyte, this grew on to be called as megabyte etc. (You can find all the names he got in his later years at the infographic attached herein)

 

The second reason why byte is so special is because it has been growing at an exponential rate since, its birth. While most of us humans only keep growing until our 18 years of age or so, and then stop growing physically; but not our friend Bronto here.

 

And lastly, the third reason why Bronto is so special is because it has helped several other significant technologies that are completely revolutionary like the Personal Computer, the Internet, Big Data, and now IoT to have developed and grown with it. It may not be apt to say that Big Data was just Bronto’s creation, that is because Bronto lies inherently as a part of Big Data even today.

 

Here are all the names that byte received throughout its age as it grew bigger!

Byte To Brontobyte and beyond:

Image Source: api.ning.com

Image Source: api.ning.com

Some other specialities of byte are discussed here:

 

The name Yottabyte was kept after Yoda. Currently, it is difficult to say even how big Brontobyte is, it might even have become Gegobyte! You can help us by letting us know in the comments. Byte had its lifelong passion to store information. The more information it store the bigger it kept growing. In its present avatar Brontobyte can store the entire knowledge of the universe known till now.

 

An interesting thing about Brontobyte is that the more it grew the size of its houses, which have changed throughout the years, got smaller!

Here are the pictures of some of the houses byte has lived throughout his life in chronological order:

Photo Coutesy of royal.pingdom.com

Photo Coutesy of royal.pingdom.com

UNIVAC computer Drum memory

Photo Coutesy of royal.pingdom.com

Photo Coutesy of royal.pingdom.com

Hard disk drive (kept getting smaller with age)

Photo Coutesy of royal.pingdom.com

Photo Coutesy of royal.pingdom.com

Left: 250 MB hard disk drive from 1979, Right: first GB-capacity hard disk drive

Later, he mostly lived in much smaller houses that even spun around inside other places like in a Laser Disk, Floppy disk, Magnetic Tape etc. Brontobyte currently lives in a “Solid State Drive” (SSD). While it is small, but it is still very nice and quiet, exactly how it likes.

 

You can learn more about Brontobyte and its journey further with a Big Data Certification, see DexLab Analytics for details on Big Data analytics courses.

 

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.

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The Future Is In Our Face! How Facial Recognition Will Change Marketing Innovation

Most us are taking a lot of technological marvels around us for granted these days. We have casually taken note of the things like how our smartphones now help us assign photos of people or organize them, or how Facebook usually knows the right people’s faces to tag. However, it has only happened recently, which most people have not realized, that this technology is not so much of a “cool trick” and will actually shape the way people are conducting their business endeavours.

big data facial recognition

These latest technological developments are already being tested out in several different industries and for a lot of different purposes. Like for instance, security scanners at the airports are now making use of this technology to allow the e-passport holders clear their customs faster. And with the further development in facial recognition technology, the border and customs officers will be able to recognize and weed out travellers with fake passports better.

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Participate at the Atharva’17 “The Ultimate CMO Challenge, sponsored by DexLab Analytics

We have some intriguing news, The Ultimate CMO Challenge from the Delhi School of Economics, University of Delhi is being held and we are sponsoring the event. Participate at the Ultimate CMO Challenge if you a PG student or are pursuing a course in MBA.

 
Participate at the Atharva’17 “The Ultimate CMO Challenge, sponsored by DexLab Analytics
 

The first round will be an online round where participants would have to submit their solutions online. Problem case will be sent to the teams that have registered for the challenge, the solution to be submitted should be of 6 slides except the cover slides. One can mail their solutions to cmo.atharva@mibdu.org

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How MTV and Nickelodeon Use Real-Time Big Data Analytics To Improve Customer Experience

Viacom the owner of household brands such as Comedy Central, Nickelodeon and MTV, is one of the largest media companies in the world, delivering more than 170 cable, broadcast and online networks in around 160 countries.

 
How MTV and Nickelodeon Use Real-Time Big Data Analytics To Improve Customer Experience
 

Monitoring of the digital networks, which are used to pump their content into millions of homes, gives them access to a huge amount of data, on how both their systems and their audiences behave.

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