Category Archives: Institute

Which Ones Your Preferred Database From 2017?

Which-ones-your-preferred-Database-from-2017

The ‘trending’ topic this season is Data Processing. The statistics attached with this blog depicts that respondents have mainly voted for NoSQL and SQL databases. The opinions of the respondents have conferred the title of ‘most engaging’ to NoSQL database, confirming the second position with a 74.8%.

Also read: Drawing a Bigger Picture: FAQs about Data Analytics


The survey declares the PostgreSQL as the confirmed winner, where 25.3 % have proclaimed it to be ‘very interesting’ and 37.7 % have confined within ‘interesting’.

Also read: Top Databases of 2017 to Watch Out For

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The results of the survey, which database has gathered the maximum attention of  respondents, are as follows:

  • Elasticsearch declared runner-up with an overall 59%.
  • The amalgamation of Lucene and Solr roaring with 43.8%
  • More interest devoured in Apache Spark with 3%
  • Hadoop scoring a meager of 8%

Next, it unveils that the US respondents have mainly opted for Elasticsearch to PostgreSQL, and Oracle have failed to evoke any interest in the mind of US respondents. However, the picture is completely opposite for the European respondents.

Also read: Data Analytics for the Big Screen


The ending note states that it is high time we realize that the dire need of the hour is data storage and processing. This conclusion is supported by the fact that so many respondents have invested their valuable time in the survey and clearly shows that database is here to stay.

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With the above survey get more updates regarding Online Data Science Certification only at  www.dexlabanalytics.com.

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Telecom Industry is Cashing on Big Data Analytics

     

The term telecom is a very big word in the business world today, especially with the concept net neutrality which has flooded all over the world over the past few months.

How adoption rates are increasing at light speed:

The issue of whether companies should create hierarchical internet services is still a matter of debate, but still there is one technology that all the giants in the telecom industry like AT&T, Verizon and Comcast are using, to capitalize on their competitive advantages. If they can get access to the data that circulates through their networks in each second, then they can find better ways to deliver phone, internet and television services. So, why not analyse the heck out of that data?

After all it is a fact that telecommunications companies have built their very business on information. So, this should not come as a surprise that they would be willing to spend a lot in programs to qualitatively analyse of data.

Watch our video attached here to know more about how telecom companies ca reduce customer churn and better their service delivery:

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.

How Big Data is Improving The Quality of Professional Sports

smart-sports-professional-soccer-launches-data-viz-system

According to a Statista report, the global sports industry has crossed US$ 145.34 billion mark in 2015 in terms of revenue, thus making it one of the most valuable sectors. As professional sports are gaining more popularity, the leaders of the industry are feeling the need to improve its quality to ensure that the fans are delighted and at the same time, the future of the game can be sustained.

Here are different ways how Big Data is used for improving the quality of the game and the overall fan experience.

Avoiding injury                                                           

An injury is the biggest threat for a professional sportsman’s career. Several wearable products have been developed for collecting real time data from the athlete’s body. These devices can analyse these datasets to figure out the chances of injury that the athlete is exposed to, which can be used to take appropriate measures that may save the career of the star player.

Better fan experience

Fans are the single most important factor that decides whether any tournament will be successful or not. Fans are the lifeline of any professional sport and in order to enhance the sustainability of the sport, fans must be provided with additional benefits. Several technology firms are working together to initiate measures needed to improve the experience of sports fans while they are watching a live game in the stadium by allowing them to order foods from the stands, and detecting empty parking spots when they are entering the stadium.

Better on-field decisions

Sports Vision, a USA based sports technology company, has been using the latest innovations to make things easier for the match officials of different sports to take accurate decisions, which in turn may contribute largely to promote the quality of the game. The company has recently installed the ‘Pitch f/x’ technology across 30 stadiums that host games in the Major League Baseball in USA. According to the company, this particular technology would help the umpires to make judgements based on the real-time data gathered by the same.

Sports Vision operates across a wide array of different sports other than baseball.

Let us look into the biggest mistakes committed by the match officials during a live game. These unintended mistakes later proved to be the decider of the match result.

Case study: The biggest mistakes in sports

Every sport lover wants a game to be error free and the decisions taken by the officials must be flawless. But in many cases, the situation has not been desirable. One such controversy was seen during India’s tour of Australia in 2008, when these two teams locked horns on Day 5 of the second test at Sydney on January 6, 2008.

Former Indian skipper Sourav Ganguly had just scored his 2nd consecutive half century in the match and was looking dangerous for the mighty Australians. India needed 200 more runs to win the test, which seemed possible with Ganguly and Rahul (Dravid) on the crease. Brett Lee was in charge with the ball and he was running fiercely towards the in-form batsman. He delivered at nearly 145 kilometres per hour, which kissed the edge of Ganguly’s blade, only to reach the second slip. The Australian vice-captain Michael Clarke was fielding in the slip position who made an excellent effort to reach towards the ball and complete the catch.

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The umpire was not sure whether the batsman was out or not, so he asked Ricky Ponting- the Australian captain at that time, about the result. Ponting confirmed that the ball carried to the slip and Clarke did no mistake to take the catch. As a result, the umpire Mark Benson declared Ganguly out. Nevertheless, India’s most successful test captain was sure that he was not out and later the TV replay showed that the ball actually dropped on the ground before Clarke caught it. Later in that innings, three of the other Indian batsmen including Dravid, Tendulkar and VVS Laxman, also fell prey to the wrong judgements by the umpires. India was finally all out for 210 and lost the match by 122 runs.

The hand of God

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Wrong decisions are not familiar in only cricket, but are also witnessed in other sports as well. Can you recall the event when the Argentinean football legend Diego Maradona scored a goal using his hand? The referees were unable to detect the handball even when the TV camera captured the event.  This goal destroyed England’s World Cup dreams of 1986 and allowed Argentina to proceed to the next round. Later that week, Argentina went on to lift the FIFA Football World Cup for the second time.

Technology at the rescue

Thankfully, we are living in an era when technology is more advanced than ever. The advent of big data certification courses have proved to be an important event for various sectors, as more professionals are entering the field of business intelligence in order to make impactful decisions that can change the world. More companies are coming forward to contribute to the welfare of the world of sports. We hope that innovations are made in order to transform each professional sport into an excellent campaign.

 

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.

How R is Used in Education? A Survey Report

HOW R IS USED IN EDUCATION A SURVEY REPORTThe fun fact with R is that it first originated in academia, the creators of R Programming Ross Ihaka and Robert Gentlemen developed this programming language at the University of Auckland in New Zealand and it has been widely used in graduate programs ever since. In programs that require that include strong statistical analysis. This programming language has often been used in MOOCs i.e. Massive Open Online Courses. In fact this programming language is extensively used in graduate educational programs that involve crunching data and students of statistics will encounter R in their academic life. And like everything else that is exposed to students in schools, R will naturally also be widely adopted for industrial use as well. As R is widely used in higher education, thus it is evident that its demand will increase in business and this is the reason why people who miss the R train in college often seek, R Programming Online Training programs like the one from DexLab Analytics.

Why drive for adoption of technology?

While technology makes things easier for us and could be deemed as fun, but then again most us who use technology also do it for a living. To the advantage of R users it is not only a pleasure to use this software but also due to its high demand in business it is also hugely profitable with fat checks for those who are well-versed.

The survey conducted by Dice Technology Salary Survey suggested that R is the highest paying skill as of last year. In a recent survey conducted by O’Reilly Data Science Salary Survey also put R as one of the most used statistical tools by the highest paid data scientists.

R has a diverse community:

The professionals working with R come from a diverse range of backgrounds; the list consists of scientists, academics, business analysts, statisticians and professional programmers. The diversity can be well perceived in the packages maintained by the community CRAN (Comprehensive R Archive Network) which brings the colorful backgrounds of the community members to the forefront.

The packages available with R can take care of several types of tasks like – creating maps, stock market analysis, high throughput genomic analysis, usual language processing. Moreover, people can get access to all the latest R-based news, from R Bloggers, which is a blog aggregation site which serves as a hub for latest news and updates related to R.

R is easy to use:

Many people get drawn to R due to its ease of use. One can generate complex charts and maps in R with only a few lines of code. This is an advantage of using R as other languages will require several lines of codes to complete these tasks. Though the popular notion about this software is that it is quirky, but it has several powerful features especially geared towards Data Analysis.

For more news and updates on R programming and details about the best R Programming Online Training programs stay hooked to our daily posts.

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Installation Guide from DexLab Analytics

Dexlab Analytics presents a handy installation guide to all aspiring data analysts to test their hands on Hadoop ecosystems. It only works in a Linux environment and hence, can be tricky to handle. This step-by-step guide will help you through to get this useful software installed in your computer and to start making sense of all the chaos surrounding data.

Commonly Found Dashboard Mistakes in Excel

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There are a number of mistakes commonly made by MS Excel users in their dashboards in the course of work conducted on behalf of organizations as we will elaborate through this blog post. So, today we have in store for you- Commonly found dashboard mistakes in MS Excel.

  • Data Dumping

By data dumping the practice of placing all data on a dashboard because either you are unsure of what is truly wanted or just with the purpose of keeping all of the people involved happy. Regardless of the reason behind the act, this usually results in a mess that only manages to confuse. Take this as a rule of thumb; dashboards that try to be everything to everyone end up being a total failure if not exactly a total disaster.

  • Improper Visualization of Data

It is not rare to find people who are convinced by vendors dealing in Business Intelligence that 3-dimensional charts, especially of the flashy kind, is exactly what was needed to save a business but research in data visualization is suggestive that they might do more harm than good. The option of sticking with charts that are already familiar to us is a better one than going for options that appear to be self-indulgent and complicated to say the very least. Remember you are not here to do marketing and that your dashboard does not need to be glitzy, flashy, manipulative or go over the top in order to be effective.

  • Do Not Place Too Much Emphasis on the Technology

It is so common to find scenarios where businesses begin dashboard projects only to find themselves spending 80% of their time and energy, two valuable resources, on conducting research on the integration of new BI platforms and only the rest 20% on creating the dashboard itself. There is a need for the numbers to be the reverse. Remember that Dashboards are required from the point of view of business and is not about demonstrating technology. And logically when we treat developing them like if it is a technological project we run the risk of encountering overruns of schedules which are all too familiar with departments that are dealing with Information Technology.

In case you wish to know more about this changing and exciting topic, you will do yourself a world of good by enrolling for the best advanced excel VBA institute that is near you.

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Machine Learning for Newbies

Machine Learning has slowly become a part and parcel of our lives without most of knowing anything about it. It is the element that drives the smartness of smart devices that have become an integral part of our lives. If this is topic that arouses your curiosity then you simply must watch this video.

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The Hottest Job Locations for Data Analysis Personnel are:

The current salary trends of analytics personnel

In India the hottest job locations for a data analyst position according to our pay-scale and job scenario survey are – Gurgaon, Mumbai and Bangalore. For more details on payment packages on offer for various data analysis positions view our infographic with numbers based on industry-based survey.

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For More Info On Data Science

MS Excel Makes Data Analysis Simple

After watching this video you would agree that data analysis might not be that hard after all. Your humble spreadsheet program, and we are talking about MS Excel, might be all it takes to complete your rudimentary tasks in data analysis. It also worthwhile to mention here that Excel has advanced capabilities in Big Data Analytics which are primarily meant for power users.

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The Amazing Big Data Figures

Huge amounts of data are being generated daily. However traditional systems of managing
data fall short when it comes to analyze such huge datasets. The answer to this riddle lies in Big Data. According to Data Scientists working for IBM, Big Data may be broken up into four dimensions and this presentation brings forth to you some startling and astonishing figures concerning each.

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