Category Archives: Big Data analytics

You Must Learn Hadoop for These 5 Reasons

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Industry insiders revealed that a Big Data Hadoop certification can make all the difference between having a dream job role and a successful career with being left behind. As per Dice all technology professionals should start volunteering for major Big Data projects which will make them more valuable to their present firms and also make them more marketable to other employers.

As per a Forbes report released in 2015, about 90 percent of global companies reported to have made medium to high levels of investment into Big Data Analytics  and out of them about one third of the companies described their investments as highly important. Also about two thirds of these businesses reported that these analytics initiatives with Big Data have had a significant and measurable impact on their revenues.

People who have undergone Big Data Hadoop training are highly in demand and this is undeniable in today’s times. Thus, for IT professionals it is imperative to keep themselves abreast with the latest in trends in the Hadoop and other Big Data analytics technologies.

The main advantages with an Apache Hadoop certification to ramp your career can be summarised as the following:

  • Accelerated career growth
  • An increment in pay packages for having skills in Hadoop

So, it is evident that a career in Hadoop will pay well and is no rocket science.

Apache Hadoop courses offer increased job opportunities:

Assessing the Big Data market forecast the industry seems more than promising and the upward trends are clearly visible which is projected to keep progressing with time. It is safe to say that the job trend or a market phenomenon is not a short-lived feature. That is because Big Data and its technologies are here to stay. And Hadoop has the potential to improve job prospects for people whether they are fresher or an experienced professional.

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Big Data Market Forecast

Avendus Capital released a research report which estimates that the IT market for Big Data analytics in India is floating around USD 1.15 billion during the end of 2015. This contributed to about 1/5th of the KPO market which is worth USD 5.6 billion. Moreover, the Hindu made a prediction which suggests that by the conclusion of the year 2018, India solely will face with a shortage as close to 2 Lakh of Data Scientists. This should present the people with tremendous career and growth opportunities.

This huge skill gap within Big Data can be bridged only by efficient learning of Apache Hadoop which enables professionals and freshers alike to add value to their resumes with Big Data skills.

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Filled Job VS Unfilled Jobs in Big Data Analyst

Thus, this is the perfect opportunity for you to take maximum advantage of a Big Data Hadoop course to reap the benefits of this positive market trend.

Who is employing Hadoop professionals?

The best place to get information on the number of existing Hadoop professionals and whose hiring is to go on LinkedIn. The graph displayed above talks about the titles of Hadoop professionals who are being hired by the top companies and which has the maximum vacancy ratio. 

The word around the market is that Yahoo! is leading this rat race.

Big Data Hadoop will bring about the big bucks:

According to Dice, technology professionals should begin volunteering for the Big Data projects, which will make them more valuable to their current employing organization and make them more marketable to other employers.

Companies around the world are betting big that harnessing data can play a huge role in their competitive plans and that is leading to the high pay for their in-demand, critical skills.

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Salary – Other Technologies Vs Hadoop

As per the Managing Director of Dice, Hadoop is the leader in Big Data category in terms of job postings. And according to Dice, Hadoop professionals can make an average of USD 120,754 which is more than what Big Data jobs pay which is about USD 108,669.

Top companies that are hiring Hadoop pros:

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Top Companies That are Hiring Hadoop Pros:

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.
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To learn more about Data Analyst with R Course – click here.
To learn more about Big Data Course – click here.

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Did You Know That About 1 in 5 Genetic Papers Have MS Excel Errors?

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If you have ever used a spreadsheet program then you are well-acquainted with the frustrations produced by entering one thing and having it auto formatted into something else. If such formatting errors go unnoticed then it will definitely lead to serious repercussions when it comes to company finances in the commercial scenario, but when it comes to the serious sciences like genetics their outcomes will be catastrophic.

Recently a study published in the journal of Genome Biology stated that 19.6 percent i.e. roughly 1 in 5 of all genetics papers published that contained spreadsheets had such errors. The main reason behind the problem is the way how genomic names are written. To consider an example, the gene called – “Membrane-Associated Ring Finger (C3HC4) 1, E3 Ubiquitin Protein Ligase” is written as MARCH1 in shorthand. But in Excel due to its default settings, it is automatically converted into 1-Mar or some other calendar date format.

Similarly when scientists enter genetic ID numbers they get converted into floating point numbers like – 2310009E13 became 2.31E+13. And as per Popular Mechanics, it is not possible for the scientists to completely reformat their excel files. So, instead they choose to reformat a blank document and then re-enter their data cell by cell. However, fortunately these errors do not have any effects on the paper’s original findings, but they may pose a serious problem for scientists who would want to replicate the study.

Here is some more insight on the issue:

Recently in a convention for geneticists, the speaker began with the snarky statement that – if you thought autocorrect was a bummer for your Whatsapp texts then you should talk to a geneticist instead. While automated features and productivity tweaks are supposed to save people time and work, they are often times counterproductive as they insert errors into our substantial pieces of work. And sadly, that is the case for an alarming number of academic papers in genetics.

Many academic papers come with supplemental files complete with charts, table and other tabular data and ideally such files are there to support the data and other aspects of the research. They are also useful for fellow researchers to take the work further. While all things remain fine in an ideal scenario, but some automated features in Excel some important data such as scientific names, floating point numbers and dates ends up getting reformatted and causes much too trouble for the scientific community causing havoc confusion. This problem with automatic reformatting occurs all the time and scientists had found the issue back in 2004 and the problem has still persisted since then.

An extensive research has been conducted by Mark Ziemann, Yotam Eren and Assam El-Osta on gene name conversion revealed that about 20 percent of all papers with supplemental spreadsheets have such errors appearing in them. The researchers took a note of more than 35,000 supplemental Excel files attached to such research documents related to genetic studies. They employed automated software to search and filter anything that resembled lists of genes and narrowed the field to about 3597 papers with several supplemental files. Then they went on to screen for the 10 most common false positive cases and discovered them in files attached to some 704 publishing houses who have published such papers. That is 19.6 percent of all the research papers they screened.

So, while many of us have been the victim of autocorrect changing the meaning of our text messages, some with hilarious results but in the case of genetic studies this matter is of no big laughs. These papers are assets for the scientific community and are often used by new generations of researchers to further study the matters. But having such massive errors on the papers can definitely slow things down and create problems for science to advance.

Science has already seen several wasted years in the world due to human intervention with obstacles to free thinking and questioning in the past riding on government or authoritarian censorship eating away people’s ideas of genius.

To further worsen the situation, there is no way we can turn off this autocorrect feature in Microsoft Excel permanently. Fortunately, researchers have discovered that Google Sheets does not perform such automated correctional functions, and if people copied such content from Google Sheets into other forms of spreadsheet programs then the formatting of these data were preserved.

So, until the prominent spreadsheet software manufacturers can figure out a way to offer people with the feature to switch off such autocorrect functions, it will probably fall in the hands of some young, unfortunate research assistant to double check this massive amount of data and correct the lists of gene names.

To learn more about common application of MS Excel and some nifty tricks for spreadsheet software take up an advanced Excel course in Gurgaon from DexLab Analytics, the premiere analytics training institute in India.

Big Data is Omnipresent, so Start Praying Paying

Big-Data

Even if you are not a data scientist yet, but there is still data surrounding you and engulfing you in a cloud of structured, specified and targeted data. Data that you use every day on a regular basis and data that actually shapes up your daily routines of commute to work, gym or entertainment. It is like the omnipresent atmosphere that we often take for granted. Why do we say that?

Here is an extract from the life of a non-technical executive of our team, after reading this many of you may feel that this somewhat similar to your story as well.

On an ordinary day, our aforesaid employee gets up in the morning at the ring of his alarm and remembers that his flight will leave at 5 o’ clock that morning. Then he looks at his smart phone and checks the updates on his flight. The flight is on time and the security checks are moving unperturbed. Then he swipes around some more on his smart phone to see if the traffic situation is on his side on this day. He soon finds the traffic is light unlike most other days and decides to cut his commute time very tight expecting himself to reach the airport within 15 minutes. So, he concludes there is ample time for him to leave for the airport at 4:00 am and feeling a sense of confidence about his decision as he made an informed choice so, the chances of things going wrong are low.

Then after his daily ablutions he prepares to set out and opens his Ola/Uber app on phone to call a cab. The app immediately responds with the information that the driver is 2 minutes away. Almost instantaneously the cabbie calls him to understand the precise location of his house and concurs that he will be couple of minutes to get there.

Soon after boarding the cab, our friend opens his health app and connects it via Bluetooth to his smart watch. He notes with a scorn that he is not getting enough exercise and that he only slept 5 hours of deep sleep last night. Then while sitting around being bored in the cab he opens the new Microsoft app that uses your phone camera to look at the picture and guess the age of the face. With further disappointment and in an uncomplimentary way the app gives him a number that is 7 years more than his actual age! But still our executive friend here feels happy as this is a good start of a day. Firstly, because he had the power of data to make educated decisions about some very simple yet troublesome things and two because he got a cab fairly fast.

Now this story may seem like a pretentious rant of pseudo-first world problems, but our point is completely different than the luxurious facilities available to modern urban smart phone owning working class. Our point is to emphasize how almost unknowingly we have let in data into our lives, the myth (and/or fact) of choice is real and we are using it unknowingly while adding and accessing the omnipresent phenomenon of – Big Data.

Yes, Big Data did not just come to office one day and sat in a cabin labelled as “Big Data at work”.  This is like electricity a utility that changes our life and influences our decision making ability. Still unconvinced? Then we ask you to conduct a simple survey among your friends. Ask around to know how many people you know buy over-expensing, sub-par quality products without going through the ratings or reviews. If you hadn’t realized it yet, this is what you would like to label as “Big Data at work”.

Thus, in closing thoughts Big Data analytics is the fundamental ability that enables capabilities to people which will effect and transform our daily lives forevermore and what we see today is evidently just the tip of the ice-berg.

So, start your Big Data certification in Pune today, with DexLab Analytics.

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