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Using Hadoop Analyse Retail Wifi Log File

Posted on January 12, 2016May 23, 2020 by Dexlab

Since a long time we are providing Big Data Hadoop training in Gurgaon to aspirant seeking a career in this domain.So, here our Hadoop experts are going to share a big data Hadoop case study.Think of the wider perspective, as various sensors produce data. Considering a real store we listed out these sensors- free WiFi access points, customer frequency counters located at the doors, smells, the cashier system, temperature, background music and video capturing etc.

While many of the sensors required hardware and software, a few sensor options are around for the same. Our experts found out that WiFi points provide the most amazing sensor data that do not need any additional software or hardware. Many visitors have Wi- Fi-enabled smart phones. With these Wifi log files, we can easily find out the following-

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Predictions For Big Data In 2016

Posted on January 6, 2016May 13, 2016 by Dexlab

Fresh on the heels of the advent of the new year, Big Data enthusiasts might wonder what the coming year beholds like machine learning updates, data as a service that works in real time, Markets of algorithms, Spark and much, much more.

The Emergence of the Chief Data Officer

The sweeping changes in recent times has made aware that enterprises realize that they are in real need of a working strategy in order to compete with competitors who are digital-native.This strategy is ideally formed by a Chief Data Officer.

Empowering Business Users

Due to a lack of proper talent in the Big Data industry more tools will emerge that reveal information to the users directly. Salesforce and Microsoft are both letting non-coders create apps that are intended to make visualizations of business data.

Intelligence Embedding

In recent times it is often seen that organizations embed analytic function pieces directly in the required apps. In fact, according to the predictions by the IDC by 2020, it is projected that all software related to business analytics will include prescriptive analytics which will be based on cognitive computing functionality.

An End to Talent Shortage

There is an acute shortage of data scientists. As reported recently by A.T. Kearney, the business consultancy no less than 72 % of global companies that are the leaders in their respective markets, find it hard to recruit quality talent in data science. But recent predictions by the International Institute for Analytics run contrary. According to it that scarcity of quality talent in the field may be reduced in 2016 as companies put into use new tactics.

Machine Learning Comes of Age

Machine learning basically revolves around the creation of algorithms that lets computers sort of learn from experience. It is attracting more than its fair bit of attention in organizations that seek to automate processed that otherwise require the intervention of humans.

The Rise of the Data-As-A- Service Model of Business

The recent acquisition of the Weather Company by IBM shows signs on what is looming over the horizon. In all likelihood companies will adopt the business model of services that consist of data streams and package and sell the data acquired by them.

5 Online Sources to Get Basic Hadoop Introduction

Posted on December 31, 2015June 12, 2018 by Dexlab

Big data Hadoop courses are hitting it big in the world of business whether it is healthcare, manufacturing, media or marketing. Data is generated everywhere, and Hadoop is a readily available open source Apache software program that can be utilized to crunch and store Big Data sets.

As per reports from the Transparency Market Research the forecast shows a promising growth opportunity from the existing USD 1.5 million back in 2012 to USD 20.8 million within 2018. These promising growth numbers suggest that there will be an increased need for human resources to manage, develop and oversee all the Hadoop implementations.

DexLab Analytics Presents #BigDataIngestion

Many experts believe that one can learn any new subject by simple self-study if only you invest enough time and sincere predisposition towards a topic. After all self-study is actually what a person does to acquire knowledge about any given topic. Be it how to fix a leaky faucet or learn a new language or learn strum a guitar. Studying is on one’s own in any case. But to be an expert in a given field, you have to study on your own while you also need to invest your energy in the right direction. And to know the right direction, you need a mentor or a guide to lead the way.

But if you want to test the waters, and tinker with Hadoop to understand its basics, you can go through the wide range of documents available at the Apache Hadoop website for your perusal. Also try downloading the Hadoop open source release to get the feel of the program while tinkering with different features.

Here are 5 online sources where you can seek some basic introduction to Hadoop for big data:

IBM’s open sources, Hadoop Big Data for the Impatient is a good option to go through the basics of Hadoop. It also offers a free download of Hadoop image (you might need Cloudera) to help you work with examples of Hadoop-based problems. You will also be able to get an idea of Hive, Oozie, Pig and Sqoop. The course is available in Vietnamese, Chinese, Spanish and Portuguese.
Cloudera offers a Cloudera essentials course for Apache Hadoop. Apache Hadoop chapter wise video tutorials are available with Cloudera essentials. But this course is mainly targeted at administrators and those who are well-acquainted with data science, to update their skills on the subject.
YouTube also offers a long list of videos on Hadoop topics for beginners. Some are good while others may not be so helpful for the Hadoop virgins. Simply type Hadoop and you will find a never-ending list of videos related to Hadoop. Some are quite useful for clarifying simple doubts related to Hadoop.
Udemy is another site where you can get some free videos as well as a few for a fee. Simply put Hadoop free on the search bar at their homepage and see what comes up.
Udacity was developed by Silicon Valley giants like FaceBook, Cadence, Twitter and the likes. They offer a 14-day free trial with free course materials. But you will need to pay for the course if you do not finish the course within 14 days.

Seeking a good and reliable Hadoop training in Delhi? When DexLab Analytics is here, why look further! Being a recognized Big Data Hadoop institute in Gurgaon, the courses are truly interesting.

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The Relationship between Big Data, Christmas and Santa

Posted on December 25, 2015December 24, 2015 by Dexlab

As a Big Data enthusiast, I look forward to data analytics playing a crucial role in the holiday season that is upon us. It is no exaggeration if we state that all sorts of people from CEOs to retailers to consumers will wile away the time crunching numbers this particular December.

The holiday season also is shopping for most consumers as, according to a report, no less than 25% of ecommerce transactions in the UK in last year i.e. 2014 were conducted in November and December. Companies face a transition from sales made from physical locations to those made online from desktops and laptops and mobile devices

Holiday Customers Lack in Loyalty

Loyalty takes the back seats as more and more buying choices are dictated by the capacity of the wallet. And when you have fifty vendors of repute to choose from while buying an item, the financial motive of savings prevails. Big Data lets businesses know the shopping days when their sales peaks.

All this highlights the need for personalization and how it makes them so much more likely to spend. In fact, according to studies personalization leads to 5 to 8 times increase on the return on investment in marketing and even improves sales by 10%. The report also stated that 56% of consumers made purchase decisions and the final purchase through computers. So, companies need to make the most of the data provided by companies like TIBC Spotfire and ShopperTrak.

Using Data in December

But the first question that comes to the mind about the use of Big Data during the period that shopaholics are at the peak of their activities, is why does it remain so underutilized. Tableau conducted a study that found that no less than 24% of all retailers based in the UK do not make effective use of data when the shopping season reaches its peak.

Use of Data by Consumers

Consumers also stand to gain when using it for the purposes of making purchase decisions. To cite a great example, we may consider the case of the WatsonTrend app. It analyzes data from ratings, comments, use of social media, reviews and other sources of data available on the net. The lists of the app are updated on a regular basis. The data and algorithms form the backbone of the app which may serve as real time shopping guides and even future trends may be predicted.

So, this Christmas shower you near and dear ones with gifts as enlightened consumers, Merry Christmas!

Trends in Business Intelligence in 2016

Posted on December 23, 2015May 23, 2020 by Dexlab

2015 is nearing its end and Big Data has finally come of age. Business intelligence or BI as it is often referred to is also progressing in leaps and bounds.

Which Business Intelligence Software Will you Buy

Many key trends are all set to emerge in the Business Intelligence market in 2016. Spending on traditional BI platforms has almost come to an unceremonious end.

As a matter of fact Gartner predicts a decline of more than 20% on traditional processes related to Business Intelligence in the coming year.
This is in sharp contrast to tools regarding data discovery and self-service Business Intelligence like tableau bi software which witnessed an incredible growth of 77.7% in the last fiscal.
Seattle is the place to be as both AWS and MSFT Azure bet big in the market for cloud BI. All eyes are now set on Google as we await their counter move making the competition really interesting.
Cloud BI services will face a hard battle as they compete with AWS QuickSight and cannot compete with the margins of AWS.
In general it may safely be predicted that the industry related to financial services will adopt the cloud with 20% of top financial institutions announcing a Cloud-first or Cloud-exclusive strategy regarding IT.
Industry insiders are abuzz and fascinated by the Internet of Things or IoT, but nevertheless it will soon dawn upon people that the data derived from sensors though abundant is for most uses quite useless.
Due to this there will emerge huge discussion which should be pragmatic in nature regarding how the data streams from sensors may be cleaned and the necessity of merging static data and that emerge from that of IoT.
Smart Cities are the way of the future and give us a fore-glimpse of how data from traffic sensors, transportation logs, social networks, emergency and census personnel may be used to drive quick insights and response plans for the community as a whole to natural disasters and events related to national security.

Source: Forbes

Elementary Character Functions in SAS

Posted on December 18, 2015October 5, 2017 by Dexlab

Basically the number of functions present in the SAS program amount to three. They are Character Functions, Numeric Functions and Date and Time Functions. In this post we are going to take a brief look at Character functions of a basic nature.

Character Functions

Suppose that there is this program with the following lines of command:

Data Len_func ; input name $ ; cards; Sandeep Baljeet
Neeta
.
;
run;
data Len_func; set Len_func ; Len=length(name);
Len_N=lengthn(name); Len_C=lengthc(name); run;
proc print; run;

Here,

The function called LENGTH returns the character value’s length.
The function LENGTHN is more or less identical to the LENGTH function. The sole difference between the two lies in the fact that for a value missing character it returns the length that equals to 0 whereas LENGTH returns a value of 1.
The function LENGTHC returns to the program the storage length of particular strings.

The ABC of Summary Statistics and T Tests in SAS – @Dexlabanalytics.

Again let us consider the following lines of code:

Data case ; input name $ ;cards;
sandeep baljeet neeta
;
New_U=upcase(name); New_P=propcase(name); 
run;
proc print; run;

Data Preparation using SAS – @Dexlabanalytics.

Here the following functions are introduced:

The function UPCASE converts all of the letters to the uppercase.
The function PROPCASE serves to capitalize the first letter of all words and converts the remaining to lowercase.
As might be guess from the convention conformed to while naming the function, LOWCASE transforms all letters to their lowercase counterparts.

In the following program commands:

Data AMOUNTS; input NAME $20.; cards;
RAD-HIKA SHARMA RAJARAM PAND-IT SURESH
AA-RT-I
;
RUN;
Data AMOUNTS;
Set AMOUNTS; NAME1=COMPRESS(NAME,'-'); NAME2=COMPBL(NAME);
RUN;
PROC PRINT;
RUN;

Here’s why SAS Analytics Is a Must-Have IT Skill to Possess – @Dexlabanalytics.

Here we can see the following syntax:

Compress (Variable, ”want to remove”);
Compbl (Variable)

The function COMPRESS removes blanks by default. It can also remove a particular specified character value as indicated by the code. In the example cited the character value ‘-‘is compressed.
On the other hand the COMPBL function serves to result in a single blank from multiple ones.

For expert guidance, you will be well advised to enroll yourself in a SAS course from a reputed SAS Training institute. You may consider DexLab Analytics if you are in the vicinity of Delhi or noida.

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Big Data Strikes The Healthcare Industry With Carolinas Healthcare

Posted on December 14, 2015November 15, 2019 by Dexlab

A representative from the administrative section of Carolinas Healthcare recently revealed that they are huge fans of Big Data and are extensively harnessing this convenient technology to leverage the quality of facilities they offer their patients.

Carolinas healthcare is a Charlotte – based firm which is extensively using this new form of data analysis technology at their very own data warehouse to evenly distribute its population of medical treatment seekers. This is helping them make the right choice in finding the most unique cases for their patient base. They are now able to take into consideration various segments that were ignored initially due to the systemic lack in the infrastructure of data management. Now they are counting segments like,environmental and geographical conditions in relation to diseases and are dividing them into segments for better efficiency in determining trends and patterns.

They hope to draw useful conclusions from such studies and to be able to make predictions so that they can minimize readmissions, inappropriate use of emergency aids and take care of the hospitalization procedures.Dr. Michael Dulin M.D. spoke on their latest venture by saying, “It is our firm belief at CHS that to deliver the best hospitalization and healthcare facilities to our patients, we need to make appropriate use of the huge amounts of data that is generated in the healthcare industry”. He is the chief clinical officer at the firm, Dickson Advanced Analytics Group which goes by the name DA2. The unit which was launched back in 2012 and is in its budding years currently. But already comprises of 130 experts who are all working together to make better use healthcare data which is a mountainous amount to begin with. It is of no doubt that Big Data is being of good use to the healthcare industry and there are glorious future prospects for experts concerned with this field, globally.

Dr. Michael further added, that “Taking into considerations the data on genomics, environmental poisons, lab results, demographics, physician’s notes and other data generated based on patients will provide them with the much needed insight required to tighten and personalize the world of health care.

Current statistics suggest that the data generated in the healthcare world every two years is almost doubling every two years. This is the same for CHS. Thus, it is evident that CHS and other healthcare organizations will require using advanced data mining tools and use statistical methods to cope and thrive in the market.

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Big Data And The Internet Of Things

Posted on December 8, 2015October 18, 2019 by Dexlab

The data that is derived from the Internet of Things may easily be used to make analysis and performance of equipment as well as do activity tracking for drivers and users with wearable devices. But provisions in IT need to be significantly increased.Intelligent Mechatronic Systems(IMS) collects on an average data points no fewer than 1.6billion on a daily basis from automobiles in Canada and U.S.

The data is collected from hundreds of thousands of cars that have on board devices tracking acceleration, the distance traversed, the use of fuel as well as other information related to the operation of the vehicle.This data is then used as a means of supporting insurance programs that are based on use.Christopher Dell, IMS’s senior director recently stated they they were aware that the data available were of value, but what was lacking is the knowledge on how to utilize it.

But in the August of 2015, after a project that lasted for a year, IMS added to its arsenal a NoSQL database with Pentaho providing tools related to data integration and analytics. This lets the data scientists of the company increased flexibility to format the information. This enables the team of analytics to make micro analysis of the driving behavior of customers so that trends and patterns that might potentially enable insurers to customize the rates and policies based on usage.

In addition to this the company further is pursuing an aggressive growth policy through asmartphone app which will further enhance its abilities to collect data from vehicles and smart home systems making use of the Internet of Things.Similar to the case of IMS, organizations that look forward to analyze and collect data gathered from the IoT or the Internet of Things but often find that they need an upgrade of their IT architecture. This principle applies to enterprise as well as consumer sides of the IoT divide.

The boundaries of business increasingly fade away as data is gathered from fitness trackers, diagnostic gears, sensors used in industries, smartphones. The typical upgrade includes updating to big data management technologies like Hadoop, the processing engine Spark,NoSQL databases in addition to advanced tools of analytics with support for applications drivenby algorithms. In other cases all it is needed for the needs of data analytics is the correct combination of IoT data.

Join DexLab Analytics’ Big Data certification course and kick start your career in the rapidly developing sector of data science.

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3 Exceptional Free E-Books On Machine Learning

Posted on December 4, 2015May 23, 2020 by Dexlab

According to the experts at Wikipedia Machine Learning happens to be computer science sub-field that has its origins in the detailed examination of recognition of patterns as well as the “computational learning theory” as put into practice in the world of A.I. or artificial intelligence.The subject investigates the study as well as the construction of algorithms which have the ability to pick up skills from and make predictions on the basis of the data that is available.

In this blog post we list some of the key texts that help out students and researchers in this particular field of study.

The Math Behind Machine Learning: How it Works – @Dexlabanalytics.

1. Machine Learning, Neural and Statistical Classification

Edited By: D.J. Spiegelhalter, D. Michie and C.C. Taylor

This book has for its base the ESPRIT or EC project Statlog which compared and made evaluations about a broad range of techniques on classification while at the same time assessing their merits and demerits in addition to applications across the range. The volume listed here is the integrated one which conducts a brief examination of a particular method along with their commercial application to real world scenarios. It encourages cross-disciplinarystudy of the fields of machine learning, neural networks as well as statistics.

Uber: Pioneering Machine Learning into Everything it Does – @Dexlabanalytics.

2. Bayesian Reasoning and Machine Learning

Written By: David Barber

The methods of machine learning have the ability to mine out the values out of data sets that are nothing short of being vast without taxing the computational abilities of the computer. They have established themselves as essential tools in industrial applications of a wide range like analysis of stock markets, search engines as well as sequencing of DNA and locomotion of robots. The field is a promising one and this book helps the students of computer science grasp the tough subject even if their mathematical backgrounds are decent at best.

Pandora: Blending Music with Machine Learning – @Dexlabanalytics.

3. Gaussian Processes for Machine Learning

Authors: Christopher Williams and Carl Rasmussen

Gaussian Processes or more known simply as GPs serve as a practical, principled and probabilistic approach to the learning as conducted in kernel machines. The Machine Learning community has been providing increased attention towards GPs throughout the better part of the last decade and the book serves the important function of sufficing as a unified and systematic treatment of the role of practical as well as theoretical aspect of GPs as present in machine learning. There was a long felt need for such a book and it does not disappoint with its self-contained and comprehensive treatment. This book is highly useful for students as well as researchers in the fields of applied statistics and machine learning.

If your appetite for knowledge on machine learning is far from being satiated, contact DexLab Analytics. It is a pioneering Data Science training institute catering for hundreds of aspiring students. Their analytics courses in Delhi are widely popular.

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