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

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.
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.

Data Management Components You Need to Know Of

Data-Management-Components-You-Need-to-Know-Of

Do you know why several organizations face problems while implementing Big Data? Still wondering? The reason is lack of poor or non-existent data management strategies.

Proper technology systems need to be adopted. Without procedural flows, data is impossible to be analysed or delivered appropriately. However, before we delve deeper into making a plan to introduce data management strategies into the business, we should pay enough attention to the systems and technologies we are thinking to launch, along with the number of improvements to be made.

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Big Data is ruling the tech world. Here are few types of tech that needs to be a part of a successful data management strategy:

Data mining

Common data mining tools are R, SAS and KXEN.

Automated ETL

More consistent, Automated ETL is used to extract, transform and load data.

Enterprise monitoring

They are efficient in offering a protective layer of security and quality assurance by doing a proper problem diagnosis and monitoring critical environments.

BI and Reporting Analytics

Turn data into insights, with BI and Reporting Analytics. It is very vital that data go to the right people and of course in the right manner. If that doesn’t happen, organizations suffer incessantly.

Analytics

Analytics is a huge branch of study, starting from customer acquisition data, tracking details to intriguing user-friendly interfaces and product life cycle.

For More Details, Read The Full Blog Here:
Understanding The Core Components of Data Management


For regular updates on SAS predictive modeling training Pune and Gurgaon, and other developmental interactive SAS certification for predictive modelling courses, reach us at DexLab Analytics.

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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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How to Connect Oracle BI Server with Tableau

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Here, we will discuss about how to incorporate Oracle BI server and make use of the existing Subject Areas built on RPD in Tableau desktop workbook as Data Source.

NOTE: This is applicable for 8.2, 8.3, 9.0 and later versions.

Firstly, to launch an ODBC connection with the Oracle BI Server to access RPD Online, you have to install a copy of Oracle Business Intelligence Developer Client Tools (available from the Oracle website). Following, you can use the same DSN to connect to Tableau through ODBC connections.

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As soon as you are done with installing the client, carry out the following steps to create a database source name (DSN):

  1. Follow the steps mentioned below to add a new system DSN for Oracle BI Server ODBC in the ODBC Administrator tool..
  • Go to the System DSN tab and click Add
  • Choose the Oracle BI Server DSN, among other available drivers

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    1. Give correct connection details and connect to BI Server

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      3. Save the System DSN
      In total, there are 3 levels in RPD:

      • Physical Layer (right pane) – This is the layer where a connection is established between each data source and the raw tables are disclosed. Joins across tables are performed here.
      • Business Layer (middle pane) – This is where logical relations, data modelling and hierarchy development are implemented.
      • Presentation Layer (left pane) – This is the layer exposed to the business through “subject areas”. The subject areas are clearly modelled to display data in the most easy-to-understand format.

      Under Tableau, tables in the presentation layer are adjoined as data sources, only.

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      Locate the Key Fields in Dimensions and Fact Table in Physical Layer of RPD and disclose the same to respective Presentation Tables in Presentation Layer of Sample Sales Lite Subject Area.

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      Create a “.tdc” file

      Create a Tableau data source customization (.tdc) file to connect Tableau Desktop to an Oracle BI server.

      1. Open a text editor; copy and paste the below code onto it:

      <connection-customization class=’genericodbc’ enabled=’true’ version=’9.3′><vendor name=’Oracle Business Intelligence’ />
      <driver name=’Oracle BI Server 1′ />
      <customizations>
      <customization name=’CAP_SET_ISOLATION_LEVEL_VIA_ODBC_API’ value=’no’ />
      <customization name=’CAP_SUPPRESS_DISCOVERY_QUERIES’ value=’no’ />
      <customization name=’SQL_CATALOG_USAGE’ value=’0′ />
      <customization name=’SQL_SCHEMA_USAGE’ value=’0′ />
      <customization name=’CAP_FAST_METADATA’ value=’yes’ />
      </customizations>
      </connection-customization>

      Nota bene: Version is crucial; adjust the version with that of your Tableau desktop version. In my case, it is 9.3.

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      Recently, credit risk analysis course in Noida is attracting a lot of attention. If you are looking for an exhaustive credit risk analysis course in Delhi, log into DexLab Analytics. You will surely get what you need!

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Parsing Data With Python

Parsing-data-with-python

First download this machine learning data file, before we get on with our tutorial to teach you how you can pare data with python. The above mentioned dataset provided in the link mimics exactly the way the data was when we visited the web pages at that point of time, but the interesting thing about this is we need not visit the page even.

We do in fact have the full HTML source code so it will exactly be like parsing the website without the annoying use of the bandwidth. Now the first thing to do when we start is to correspond the date to our data, and then we can pull the actual data.

This is the way we start:

import pandas as pd
import os
import time
from datetime import datetime

path ="X:/Backups/intraQuarter"

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From dreams to reality: a vision to train the youngsters about big data analytics by the young entrepreneurs:

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There is a famous saying that a life without any goal is a ship without radar. This saying was actually internalized by the two young Noida based entrepreneurs, Vivek Debuka and Subhrajyoti Adhikary. Thus, Dexlab Analytics, their brain child was born; with the vision of educating young minds regarding big data analytics skills.

DexLab Analytics Team


According to Mr.Debuka, the CEO and one of the leading figures behind Dexlab Analytics, their thought was of a different yet needful pattern. With the analytics training institutions placed in Gurgaon, Pune and Noida, it was an endeavor to make the country realize about the driving force i.e. the data. Name any kind of work like HR, Management, and Sales or marketing, all have its source in the data analytics. Thus, they are the believers in ‘business is where data lies’.

They believe that Indian education system have rich resources, like, talented and well – read professors and intelligent students .Yet, the lack of a bridge to connect the two is felt. Thus, DexLab has its list of field specific courses, to train young minds accordingly to the needs of the industry. People interested for a career in analytics are trained extensively in SAS, while those in the field of visualization try to grasp Tableau.

Dexlab’s Datacember is another awareness campaign created exclusively for the college students, filled with discounts.

The founders had the idea, but not the proper knowledge to execute it. So, the journey was not a bed of roses. They could actually sense failure when the turning point came hand in hand with the extremely talented and hardworking consultants at Dexlab Analytics. The gems in the crown include consultants from various educational backgrounds and working professionals from companies like Genpact, Bajaj ,HDFC , to name a few .

The owners are very much confident about their idea- ‘data is here to stay’. So, after Gurgaon they have extended their Machine Learning Certification to Noida. They have their simple yet planned economic motto: to earn, save and invest. DexLab tries to keep it as a value oriented aspiration for yielding better results. They are believers that all the future jobs are data driven and this belief pushes them to spread data literacy.

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The Dilemma of Data Science: SAS or R or Python

The Dilemma of Data Science: SAS or R or Python

For a lot of quantitative corporate personnel, the raging debate between the tools of choice for analytics has been known to cause some rival enthusiasm instead of the age-old political debates on Thanksgiving!

The SAS vs. R debate was already hotly underway for the past couple of years, but recently many analytics professionals and aspiring analysts have requested us to include a comparison of Python in our debates. So, we decided to keep things light and simple and only asked a single question – “which analytics tool do your prefer to use: SAS, R Programming or Python?”

Read Also: Elementary Character Functions in SAS

Gradually our survey results have been showing a growing demand for open source tools over the past few years. In fact so much so, that this year almost 61.3% of respondents in a survey conducted by KDnuggets chose R and Python over 38.6 percent of people still opting for SAS. As it is SAS is a great tool for large companies to conduct their data analytics.

Read Also: 13 Advantages of R over Excel in Data Analytics

Are you keen on learning more about these numbers? So were we, so tallied a few survey results and opinions of analytics professionals to determine which is the better data analytics tool to learn first. And here is what we found…

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Dexlab’s Datacember is a Special Christmas Gift for College Students

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DexLab Analytics is quite a reputable name in the sector of data analytics trainings in India. They are also known for their online live training courses and for their unique offerings of free demo sessions. With data science and analytics being deemed as the sexiest job in the 21st century, it only makes sense that it gathering a lot of attention from young and ambitious youth ready to start their careers.

Until now the field of analytics training was mostly known for people with preliminary or specialized degrees. But DexLab Analytics with their latest winter admission offer called – DexLab’s Datacember is hoping to change that trend. They believe that analytics training should be started from the very beginning of professional education, as the subject is highly complex and needs practice.

DexLab’s #Datacember

They are trying to entice the students with this new promotional admission offer to make the career of data analytics seem lucrative and with a lot of scope for success, which is the fact in the present market. The admission offer can be availed by students of colleges from any relevant fields and will only require the furnishing of a student ID. The courses on which the offers are applicable are the following Business Analyst Certification, Data Science, Big Data Hadoop for Classroom Training only at Gurgaon & Pune.

The offer up for grabs in DexLab’s Datacember drive is that for a single entry of a student, a discount of 10% can be availed on the course fees; but for entry of students 3 or more a discount of 30% each on the admission fees can be obtained.

The date of registration for this offer is from 7th December 2016 to 14th January 2017. The Datacember offer will remain valid for December 2016 to March 2017.

The CEO of DexLab spoke on this initiative by saying, “In light of the same the institute has launched DexLab’s Datacember – a campaign which offers to provide college students with attractive discounts to help them acquire these talents easily.”

Furthermore, the institute also plans to conduct corporate trainings and collaborate with their long-time training partners RCPL along with several hundreds of other colleges and Universities in India; for conducting workshops and corporate trainings on the topics related to data science and Big Data Analytics. This corporate training collaboration is dated to start from the 10th of December and will go on until the 18th December 2016. The training sessions will of 40 hours each and will cover the topics of R Programming, Analytics using R and Data Science.

The first training session is about to take place at an engineering college in Bhubaneswar, Orissa for their client RCPL.

About DexLab Analytics:

Founded by a team of core industry experts with several years of experience in the field of data science and analytics, their institute has been around since the beginning of the Big Data buzz. They are a reputable institute based in Gurgaon and Pune who are known for quality training and placement support for their students.

Contact Details:

DexLab Solutions Corp.

G. Road, Gurgaon 122 002, Delhi NCR
+91 852 787 2444
+91 124 450 2444

DexLab Solutions Corp.

Gokhale Road, Model Colony, Pune – 411016
+91 880 681 2444
+91 206 541 2444

hello@dexlabanalytics.com

 

Having Soft Skills is Necessary for Success of Data Governance

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For several years now, I have been associated with a company that enables individuals and organizations, implement Data Governance in their systems. An interesting thing that I have come across is that most people presume data governance to be a technical and analytical field. But the truth is, majority of data governance job roles are actually undertaken by business users. I have found out that most of the successful data governance schemes are run as change management initiatives, which are led and supported by the individuals who possess impeccable soft skills.

At the cost of penning clichéd words, things like passion, enthusiasm and the ability to persuade or motivate others to reap achievements for a goal, be it in Data Governance or any other major programme, will definitely work to stack the odds in your favour. For most of you reading this article, the subject of Data Governance may seem too dry and mundane to be passionate about, something that seems too mechanical and uninspiring. But have you ever thought of this, in this way:

If you do not buy, so won’t they!

And that is not a good news for any of the parties involved.

Having strong communication abilities is always a great asset to have. One may need to convince strangers and that too masses of them, influence them on an individual level, when making proposals of new approaches to governing data. History has it, that there is always resistance to change and having soft skills that can soften this blow of transformation, will be a great tool to manage that resistance and transform it into a positive direction.

So, for those who are working on a Data Governance initiative or aspire to work on some form of Data Analytics or Management field, and have a feeling that communication is not your forte. Then i recommend that you let a helpful hand learn it through proper coaching and practice. After all peering at large data sets does not help with social skills! That is definitely understandable. But you must have a strong orator hidden behind those ‘nerd’ glasses who can translate the complexities of data governance and analytics to the language of the commoners.

I strongly recommend that you use a pragmatic approach when implementing Data Governance and decide to apply the same for your soft skills training.

At whatever stage you are currently in your Data Governance and analytics journey do not forget that spending some time to focus on your soft skills will definitely have a significant contribution towards the success of your initiative.

You can learn more about Data Analytics and governance along with soft skill training at DexLab Analytics.

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