Category Archive: Big data certification

Top 6 Big Data Trends for 2018

Big data is expanding, and by next year almost a majority of businesses will be attracted towards the brighter prospect of this cutting edge technology. Even this year saw an enormous increase in volume, variety, velocity of data, which assures that the next year will witness more data, more numbers.

 
Top 6 Big Data Trends for 2018
 

Data science pundits have predicted some of the leading trends that would be in the forefront in the big data revolution 2018. Come, let’s take a look:

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The Impact of Big Data on Marketing

The Impact of Big Data on Marketing

 

In marketing, the analysis of data is a highly established one but the marketers nowadays have a massive amount of public and proprietary data about the preferences, usage, and behavior of a customer. The term ‘big data’ points out to this data explosion and the capability to use the data insights to make informed decisions. Understanding the potential of big data presents various technical challenges but it also needs executive talent devoted to applying the solutions of big data. Today, the marketers are widely embracing big data and are confident in their use of analytics tools and techniques. Let us learn about the ways in which Big data and analytics can improve the marketing efforts of various businesses around the around.

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For Long-term Digital Transformation Plan, Big Data is the Key

Big data and business analytics are like two sides of the same coin. Here, though the coin represents digital transformation – but reports from consulting and services firm HCL Technologies are pointing that many companies are not being able to harness these new-age technologies to their fullest capacities resulting in a loss of digital transformation efforts.

 
For Long-term Digital Transformation Plan, Big Data is the Key
 

When asked Anand Birje, the corporate vice president and head of HCL’s digital and analytics domain, he has this to say, “Over the past four or five years, enterprises were pushed hard to do anything in the field of analytics, big data and digital transformation. They were being pushed because there was this fear about what their competitors might be doing, so there was this feeling that they had to do something digital.”

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Here’s ALL About Global Hadoop Market and Investment Report 2017

According to a market research report, Global Hadoop market – industry analysis, share, size, growth, trends and forecast, which was once estimated at a value worth USD 1.5 billion in 2012, is now expected to hit $13.95 Billion mark this year, 2017 with a CAGR of 54.9%.

 
Here’s ALL About Global Hadoop Market and Investment Report 2017
 

The advent of Hadoop platform stemmed out from the growing urge to manage problems that resulted owing to a lot of data – mostly a concoction of structured and unstructured data – that failed to fit properly in the traditional data storage and management systems, like tables. The play of analytics got intense, more complicated – both computationally and logically – hence the need for Hadoop is more than ever. This is similar to what Google was doing while it was on an endeavor to examine its user behaviors and index web pages, with a view to enhance its own performance algorithms.

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How to Secure Big data While Harnessing Its Big Power

The term Big Data stands for data that is humongous. Large volumes of data are being churned out every day to meet business needs.

 
How to Secure Big data While Harnessing Its Big Power
 

Business analytics is the bedrock of an organization. It uses data for proper analysis of business objectives, later on which helps in making better decisions and future profit generation. Also, it aids in determining the actual reasons of failures, re-evaluating risk portfolios, and detecting undergoing fraudulent activities before they swell up to affect business operations.

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Data Science and Machine Learning: In What State They Are To Be Found?

Keen to have a sweeping view of data science and machine learning as a whole? 

Want to crack who is playing tricks with data and what’s happening in and around the budding field of machine learning across industries?

Looking for ways to know how aspiring, young data scientists are breaking into the IT field to invent something new each day?

Hold your breath, tight. The below report showcases few of our intrinsic findings – which we derived from Kaggle’s industry-wide survey. Also, interactive visualizations are on the offer.

  1. On an average, data scientists fall under the age bar of 30 years old, but as a matter of fact, this age limit is subject to change. For example, the average age of data scientists from India tends to be 9 years younger than the average scientists from Australia.
  2. Python is the most commonly used language programs in India, but data scientists at large are relying on R now.
  3. Most of the data scientists are likely to possess a Master’s degree, however those who bags a salary of more than $150K mostly have a doctoral degree under their hood.

Who’s Using Data?

A lot of ways are there to nab who’s working with data, but in here we will fix our gaze on the demographic statistics and the background of people who are working in data science.

What is your age?

To kick start our discussion, according to the Kaggle survey, the average age of respondents was 30 years old subject to some variation. The respondents from India were on an average 9 years younger than those from Australia.

What is your employment situation?

What kind of job title you bag?

Anyone who uses code for data analysis is termed as a data scientist. But how true is this? In the vast realm of data science, there are a series of job titles that can be pegged. For instance, in Iran and Malaysia, the job title of data scientist is not so popular, they like to call data scientists by the name Scientist or Researcher. So, keep a note of it.

How much is your full-time annual salary?

While “compensation and benefits” ranked a little lower than “opportunities for professional developments”, the best part remains it can still be considered a reasonable compensation.

Check out how much a standard machine learning engineer brings home to in the US

What should be the highest formal education?

So, what’s going on in your mind? Should you get your hands on the next formal degree? Normally, most of the data scientists have obtained a full-time master’s degree, even if they haven’t they are at least data analytics’ certified. But professionals who come under a higher salary slab are more likely to possess a doctoral degree.

What are the most commonly used data science methods at work?

Largely, logistic regression is used in all the work areas except the domain of Military and Security, because in here Neural Networks are being implemented extensively.

Which tool is used at work?

Python was once the most used data analytics tool, but now it is replaced by R.

The original article can be viewed in Kaggle.

Kaggle: A Brief Note

Kaggle is an iconic platform for data scientists, allowing ample scope to connect, understand, discover and explore data. For years, Kaggle has been a diverse platform to drag in hundreds of data scientists and machine learning enthusiasts, and is still in the game.

For excellent data science certification in Pune, look no further than DexLab Analytics. Opt for their intensive data science training in Pune and unlock a string of impressive career milestones.

Interested in a career in Data Analyst?

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To learn more about Big Data Course – click here.

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Streaming Huge Amount of Data with the Best-Ever Algorithm

Can you measure water coming out of a fire hose, while it’s hitting your face? No? Then how would you calculate the amount of data that is constantly being churning out of numerous social media platforms? In simple terms, it’s not feasible, unless you opt for streaming algorithms – these are computer programs that execute such on-the-go calculations.

 
Streaming Huge Amount of Data with the Best-Ever Algorithm
 

Data flow is constant and humongous – in order to strategically record the essence, the rest of the data is mostly forgotten. A large pool of data scientists is constantly looking for ways to build a better, improved streaming algorithm, but now I guess their search has come to an end, they have invented something incredible to vouch for. This new, best-of-the-lot streaming algorithm performs miraculously by grasping just what it seems to be necessary, ignoring others. It remembers just that which it has seen the most, and that gives it an upper hand.

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Revising the Basics of Big Data Hadoop

Big data is a very powerful term nowadays. It seems to be a large amount of data. Big data means large amount of structured, unstructured, semi-structured data. We get data continuously from various data sources.

 
Revising the Basics of Big Data Hadoop
 

Just have a look on how we get data.

 

Nowadays we are living in a techno era in which we need to use technology so that’s why we are generating data. If you are doing any type of activity like – driving car, having some shakes in CCD, surfing internet, playing games, emails, social media, electronic media, everything plays a crucial role to develop big data. 

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Time to Change the Game of Online Lending With AI and Big Data

As digitization grows in size and width, more and more companies are seeking ways to modify their digital lending services. It would be effective as well as profitable for both borrowers and lenders. And as a topping on the cake, companies resort to Artificial Intelligence and Big Data as they believe they are the future powerhouse of loans.

 

Time to Change the Game of Online Lending With AI and Big Data

 

Originally banks being the lenders make the lending decision based on a loan applicant’s credit score – which is a 3-digit number collected from renowned credit bureaus, like Equifax and Experian. Credit scores are obtained from large piles of data, such as credit history length, payment history and credit line amounts, and are used to decide whether the applicants would be able to repay their debts. They are also good to determine the interest rate of loans.

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Here’s All You Need to Know about Quantum Computing and Its Future

Of late, Microsoft- the tech mogul, like Google and IBM has deciphered massive potentials in launching quantum computing to eradicate the world’s biggest problems. Researchers at IBM, Intel and others are on an amazing scientific rat race to develop a commercially viable super quantum computer. Though they exist in laboratories, bringing it into the real world is going to be an altogether different endeavor.

 

Here’s All You Need to Know about Quantum Computing and Its Future

Understanding the concept of the quantum computer

The concept of quantum computer is somewhat different and is not based on the use of binary logic. According to its nature, a quantum computer is a simple yes/no/both device – where a programmer doesn’t have to choose between options, he is free to make all the choices in the world and that makes all the difference in the world.

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