Tag Archives: Big Data Hadoop training

The Only Prerogative to Combat Ransomware is Predictive Analysis

The-only-prerogative-to-combat-Ransomware-is-Predictive-Analysis

Things are not at all going right in the technological sphere. The domain is shrouded under the dark haze of WannaCry Ransomware this weekend. After the relaxing weekend, the Monday morning situation could never have been worse. The figures revealed on Monday evening by the Elliptic, a Bitcoin forensics firm, affirmed with the duty of keeping a close watch, confirmed a digit of $57,282, 23 shelled out to the hackers of Ransomware malware attack, who took over innumerable amount of computers worldwide on Friday and over the weekend.

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The recent past has been witnessing the unprecedented malware attack across 150 countries. The current picture describes more than 200000 systems around the world being affected and the loss of tons of data.

Also read: How To Stop Big Data Projects From Failing?

A few years back also, Ransomware was unheard of and today it has emerged as one of the major issues of concern. So, what is the solution now? Several veteran data scientists and the honchos of the technological world have voted for Predictive Analysis   as the ultimate solution for destroying Ransomware.

With the conventional cyber defense mechanisms at a backseat, Predictive Analysis defense technology remains the ultimate resort for any organization. The Predictive Analysis is mainly dependent on instituting a pattern of life within the enterprise and saving from disgruntling malware and similar disturbing activities.

Also read: What Sets Apart Data Science from Big Data and Data Analytics

Paul Brady, the CEO of Unitrends, explained the procedure where the backup system uses the tools of machine learning to identify and understand that certain data anomalies indicate the threat of a Ransomware attack.

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So the above mentioned description clearly depicts the many advantages of Predictive Analysis. Now, the sad part of the story remains, that the difficulty in management remains the major blockage for the employment of this method. Let’s hope for the best and wait for the day when Predictive Analysis would be the only possible solution. Till then gather information on SAS predictive modeling training in Pune and Gurgaon only at www.dexlabanalytics.com

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Get Acquainted With Your Daily Dose of Big Data Analytics

Get-acquainted-with-your-daily-dose-of-Big-Data-Analytics

What is trending in the technical world? Big Data is the word. The sudden upsurge witnessed in the IT Industry has equivalently led to the emergence of Big Data. The complexities of the Data sets are extremely troublesome to co-ordinate activities with the usage of on-hand database management tools. Hence, the shift to this catchy phrase, dealing with homogenous amount of data and is of uttermost importance. Let’s have a quick tete-a-tete with this newest branch of science i.e. Big data Analytics.

Also read: Big Data Analytics and its Impact on Manufacturing Sector

  • A for A/B Testing– A very essential element of web development and big data industry, it is a powerful evaluation tool to decide which version of an app or a webpage is extremely effective to meet the future business goals. Also, this decision is taken carefully after comparing the numerous versions to select the best from the rest.
  • Set the standards for Associate Rule learning– The structure enlists a set of technique in the quest for interesting relationships or the ‘association rules’ amidst variables in massive databases. For better understanding refer to the flowchart attached in the blog, describing a market analysis by a retailer, assuming the products which are high on demand and the usage of this data for successful marketing.
  • Get a better understanding of Classification Tree Analysis-In clearer terms, it is the method of recognizing the category in which the new observation falls into. Statistical Classification mainly implements to:
  1. Classification of organisms into groups.
  2. Automatically allocating documents into categories.
  3. Creating profiles of students enrolling for the online courses.

PS: For the better understanding, take a quick glance at the illustration attached below.

Also read: What Sets Apart Data Science from Big Data and Data Analytics

  • Why would you opt for Data Fusion and Data Integration? The answer is simple. The blending of data from multiple sensors, data integration and fusion leads to the total accuracy and direct more specific inferences which otherwise wouldn’t have been possible from a single sensor alone.
  • Mingling with Data Mining – To be precise, Data Mining is nothing but the collective data extraction techniques to be performed on a large chunk of data. The parameters include Association, Classification, Clustering and Forecasting.
  • The cloning of Neural Networks- This includes Non-Linear predictive models for pattern recognition and optimization.

This was a quick introduction to the world of Big Data Analytics. With this get to know more about the Big data certification course in Pune only by logging at www.dexlabanalytics.com.

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.

You Must Learn Hadoop for These 5 Reasons

you-must-learn-hadoop-for-these-5-reasons

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:

top-hadoop-companies_final

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.
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

the-hand-of-god-007

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.

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.

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.

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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New Survey Finds Increasing Big Data Adoption

New-Survey-Finds-Increasing-Big-Data-Adoption-01

NewVantage Partners have over the course of the last four years which has found that Big Data has quickly become the part and parcel of the day to day activities of most of Fortune 1000 companies.

The opinion of the crucial decision makers within organizations was taken into account. Financial led the way in investing in Big Date infrastructure. Also of note is the fact in the field of life sciences too usage of big data is increasing by the day.

Other findings of the survey are:

  • In 2012 just a small group of 5% of firms had in place a system of Big Data analytics which in 2015 rose to 63%.
  • In 2012 only 24% of firms claimed to have expectations to invest $10 million or more in Big Data by the year 2017 which rose to 63% in the year 2015.
  • At present a majority of 54% of companies have in place a Chief Data Officer which rose from 12% in the year 2012.
  • In 2012 only 21% of firms reported that their firms held Big Data to be critically important which rose to 70% in the last year.

During the starting year of the survey the executives of organizations were struggling to come in terms to properly perceive the impact and opportunity that Big Data might potentially hold. But today it has become the standard norm for corporate organizations and the focus is rapidly shifting to results produces and the business capabilities enabled by the same.

There is also a need to develop the appropriate metrics. While indeed the majority of Fortune 1000 companies’ implemented capabilities in Big Data, few have demonstrated the business value derived from the investments over time. Organizations with responsible executives for data who report to a Chief Financial Officer are often more likely to have developed financial measurements that are precise.

Innovation remains a source of much promise in the field of Big Data and innovation opportunities need to be identified. There is a dearth of success stories in innovation in things that are enabled by Big Data. Till now its success has largely been limited to savings on cost of operations or being able to analyze data sets that are larger or more diverse. Innovation in Big Data led applications need to be funded more and its practitioners need to exemplify imagination as well as boldness.

Businesses and the analytics industry needs to prepare for both business and cultural change as a new generations take their place in the workplace who have grown up on tools Like R Programming and Hadoop. There is great need for organizations to realize that Big Data is more about cultural change rather than solely technical change.

Big Data Certification

If you too want a piece of the bigger pie of Big Data as a practitioner, then you should try to train yourself for a promising career through proper Big Data Courses in Delhi as conducted by a leading institute like DexLab Analytics.

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Big Data and Analytics trends of 2015

The best way to begin speaking about how interesting the past year was for Big Data is to say that – there will be more.

Big-Data-and-Analytics-trends-of-2015

By more we mean that there will be more data, thus, there will be more data scientists, data analysts, more cloud analytics, more mobile analytics and data discovery. So, it is evident that Big Data will only get Bigger this New Year on 2016 with more data to visualize.

But if you are new in the world of Big Data Hadoop courses and are only beginning to acquaint yourself with Big Data, here are a few special trends of 2015 that you must keep a close eye on, this year.

You can make magic:

The technologies we use today are nothing short of sheer magic that, we could only imagine in our wildest dreams even a few years ago. But in the field of Big Data Hadoop and other data analytics tools, nothing such amazing has been noticed yet. We only know of tools and features that get the job done with some difficulty, but nothing that gives us data magic on our very fingertips. Thus, the world of data science still requires shepherds who would oversee and micromanage each and every step of data analysis. We still need people to manage aspects like – where to find data, how it should be stored, how it should be stored and most important how to analyze it and what conclusions to draw from the analysis.

Experts suggest that all this would soon change with advanced technologies being incorporated into the world of analysis to further automate the process. Things like machine learning with other advanced analytics tools are being applied to data science to further upgrade the process.

Insiders now want advanced tools that help them take care of the trivialities fast and get to analysis sooner with facilities like – simply pointing them at the data and allowing the algorithms to figure out things like how to join the data, propose complementary data, and cleanse it and to optimize it to determine it should be stored. Thus, 2016 will see more developments in this aspect of advanced automation.

Make way for multi-polar analytics:

Nowadays the layer cake approach of model analytics is slowly becoming obsolete and a practice that was thought of as the best – with external data feeding data marts and warehousing data with Bi features, as the final touch is fast being replaced with a multilayered or multi-polar approach. So, this New Year we will gain a better idea of how we can get better results from realistic yet complex data analysis centres.

Data privacy laws:

Currently there is a huge room for development in the world of data science contrary to the rate of development in the technologies. Already there have been reports of serious abuses with important data and we expect that 2k16 will see some strict actions in encryption practices in data.

In conclusion, 2016 will be a wonderful year for data analytics with increased adaptability.

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Big Data Hadoop- Before You Start Off

Is Predictive Analytics the Future of Big Data?

Is Predictive Analytics the Future of Big Data?The analysis of big data has for long been the cornerstone that technologists and futurists swore by in the recent past.

Enterprises look forward to this analysis as a source of valuable insights the operations related to their business as well as finding correlations within revenue and the activity conducted in the field of sales and marketing.

Frameworks like Hadoop are not only open source but also make data storage more effective both in terms of analytics tools as well as costs associated with the storage of data.

Situation Set To Change

But the prevailing situation is in for some serious change as large data set analysis undergoes a paradigm shift from what happened or is happening to what will happen. Machine learning, the concept of cloud computing as well as technologies that work in-memory all are contributing to this shift.

This shift is termed predictive analysis and promises to be the next big thing in the exciting world of Big Data. With it, Enterprises shall no more be confined to insights gained through analysis of data and react according to it but will be able make pretty accurate forecast of the state of their business a month, week or hours down the line through an effective combination of historical, third party and real time data.

This in turn will allow prompt action on potential problems like failure of machinery or depletion of stock and also to cash in on euphoric or depressed moods common after sporting events. However the focus should be on action than mere forecasts.

The Impact on CRM

CRM or customer relationship management software is a key area where predictive analytics can prove to be of invaluable help. Here predictive analysis will help marketers and sales people to be aware of the impact that their activity will potentially have and also to be able to provide content and pitches that are more personalized. This option is far better than simply to rely on the historical data about interactions made previously.

Inside Sales is a IT specialist in analytics and machine-learning and is one of the companies that is making use of this concept by not limiting itself to analytics but extending to the sphere of predictive analytics with a service based in the cloud.

Their system takes into account data from CRM platforms like Microsoft Dynamics and Salesforce and then proceeds to analyse the same against sales interactions that are suitably anonymized and are in tune of over 100 billion in number from the breadth of its worldwide customer base.

Why It Is Superior

This results in the predictive analytics that is both more effectively enhanced and expanded. This is due to the fact that the data possessed by the company is compared to an aggregated data mass.

When put into practice a company is able to figure out its performance vis-à-vis global and regional trends in sales in this particular sector and to find out key influences like economic factors, current affairs and maybe even the weather on its sales.

You have to know clients as people if you need to win them and then you’ll make more intelligent choices about their needs and practices.

The Workforce

Big Data training is essential for creating a workforce that can suitably match the demands of Big Data and its associated technologies and processes.

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Big Data Hadoop- Before You Start Off

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