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DexLab Analytics is Providing Intensive Demo Sessions in March

DexLab Analytics is Providing Intensive Demo Sessions in March

The internet has spurred quite a revolution – in several sectors, including education. Interested candidates are at liberty today to learn a vast array of things and garner a humongous pool of knowledge. Online demo sessions further add to the effect. These demo sessions are state-of-the-art and in sync with the industry demands. They are one of the most effective methods of learning and upgrading skills, particularly for the professionals. They transform the learning process and for all the good reasons.

DexLab Analytics is a premier data science training institute that conducts demo sessions, online and offline regularly. These demo sessions are indeed helpful for the students. With an encompassing curriculum, a team of experts and a flexible timing, the realm of demo sessions has become quite interesting and information-laden.

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Talking of online sessions, they are incredibly on-point and high on flexibility. With daring innovations in technology, no longer do you have to travel for hours to reach your tuition center. Instead, from the confines of your home sweet home, you can gain access to these intensive demo sessions and learn yourselves. Adding to that, the medium of learning is easy and user-friendly. The millennial generation is extremely tech-savvy that leaves no room for difficulties learning online.

Moreover, we boast of top-of-the-line faculty strength, well-versed in the art and science of data science and machine learning. With years of experience and expertise, the consultants working with us are extremely professional and knowledgeable in their respected field of study. Lastly, online demo sessions are great tools for career advancement. While working, you can easily upgrade your skills in your own time – boosting career endeavors further. The flexibility of learning is the greatest advantage.

This month, DexLab Analytics is organizing the following demo sessions; kindly take a note of the date and timing:

  • Demo session on Machine Learning, Deep Learning and Python – Saturday 16th March at 2 PM by industry professionals

  • Demo session on Data Visualization and Reporting – Saturday 23rd March at 11 AM by industry professionals

  • Demo session on Credit Risk Modelling – Saturday 16th March at 2 PM by industry professionals

For more information on big data Hadoop training in Delhi, follow DexLab Analytics.

 

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Banking Business and Banking Instruments

Having discussed some amount of mandatory regulatory compliances for banks over the past couple of blogs, let us now focus on the bank’s lines of business. Understanding the different banking products is inevitable for credit risk management and analytics. One has to be well versed with the nature of banking products before they step in to develop model for any of them.  Each banking product has its own characteristics and its own set of risk exposure. Hence, understanding these products is the top priority. In this blog we discuss three of the major banking products: Checking Accounts, Savings accounts and Certificate of Deposits.

 

BANKING BUSINESS AND BANKING INSTRUMENTS- Part 1

 

Checking Accounts: This is a transactional deposit account held at a financial institution that allows for withdrawal and deposits. Money held in a checking account is liquid, and can be easily withdrawn using checks, automated cash machines, and electronic debits among other methods. It allows for numerous withdrawals, unlimited deposits etc. These accounts are known as current accounts in UK. These are often loss leaders for large commercial banks since they become highly commotized. Because money held in checking accounts is so liquid, aggregate balances nationwide are used in the calculation of M1 money supply. Continue reading “Banking Business and Banking Instruments”

Will Spark Replace Hadoop?

Top 2016 Trends Expected to Turn Fruitful in 2017
 

I hope this post will help you to answer some questions related to Apache spark that might be coming into your mind these days related to Spark in Big Data Analytics.

Continue reading “Will Spark Replace Hadoop?”

Trials Against WPL Awarded SAS With Damages

In a groundbreaking trial judgment, WPL (World Programming Ltd.) was found to have conducted software license breach and fraud and was made to pay damages to SAS. A federal jury found that WPL violated its software license for SAS learning edition with reverse engineering parts of the product to create their own WPS or World Programming System software while still using the SAS Learning edition to meet their production requirements.

Trials against WPL awarded SAS with damages

 

After the jury found this misconduct, the company was directed to pay SAS a penalty of USD 26.4 million in damages. Furthermore, WPL was also found to have committed fraud against SAS by the jury that required them to further pay another USD 3 million to SAS in terms of punitive damages. It was also concluded by the jury that WPL violated the NC Unfair and Deceptive Trade Practices Act that mandates the company to pay treble damage charges to SAS. The cumulative penalty judgment amounted to as much as USD 79 million. As per reports SAS will seek the help of parliament injunction on the issue to control sale of or use of WPS products in the US.

A representative of SAS revealed in a statement that the proofs they were able to collect enabled the jury to come to a conclusion quite fast that further validated the talk of the town about the practices of WPS that suggests that they did take part in unfair practices.SAS is currently the leading programming software in the world of Business Analytics. As per records the program helps users of more than 75,000 websites to make better and faster decisions using data.

Their work philosophy of – giving clients around the world “the power to know” (as is their tagline); using data tools is slowly taking over the market. They have been operating in the data industry since 1976. And all their products and services are trademarked under the name SAS Institute Inc. in the US and other countries.

 

Source : http://www.marketwired.com/press-release/sas-awarded-damages-in-trial-against-world-programming-ltd-2063069.htm

Predictions For Big Data In 2016

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.

Predictions-for-Big-Data-in-2016

 

  • 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.

Trends in Business Intelligence in 2016

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.

Trends in Business Intelligence in 2016

  • 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

Big Data Strikes The Healthcare Industry With Carolinas Healthcare

big data courses in gurgaon
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.

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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.

Deep Learning and AI using Python

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 Cloud- An Eclectic Mix

Big Data and the Cloud- An Eclectic Mix
The FINRA or The Financial Industry Regulatory Authority, Inc. makes analysis of up to no less than 75 billion events each and every day. It is little wonder then that it finds its data center nearly filled to capacity. FINRA is looking forward to migrating to the cloud in order to continue to provide the protection for investors and continually respond to the market that it is famed for.

According to Matt Cardillo who is the Senior Director at FINRA, they are eyeing the elasticity that is enabled by cloud storage. He further continued also on their radar was an approach change in order to respond to market and volume data change along with changes in the behavior of users. Volatile markets result in usage spikes and also attract a whole lot more of users in their system.

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The surveillance program undertaken by FINRA performs analysis of data for suspicious activities as well as potential fraud. Their algorithms go through and analyze the data for any abnormalities or activities that might not be normal. They have in place alerts and exceptions that take stock of situations and then have access to analytics that help to determine if there is indeed a problem or whether it is a false call.

Stay Ahead of the Big Data Curve

Almost every day a new tool emerges to take stock of Analytics in the brave new world of Big Data Tech. According to Cardillo the kudos for staying ahead of the big data curve goes to the skilled staff at FINRA. He says that his people are innovative and are only too keen to embrace the latest advancements in technology. He confesses that after reverting to the cloud some of their present tech as well as tools will become irrelevant. But they are banking big on open source especially frameworks like Hive, Hadoop and Spark to get most out of the elasticity needed by their business.

 

Interested in a career in Data Analyst?

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To learn more about Data Analyst with R Course – Enrol Now.
To learn more about Big Data Course – Enrol Now.

To learn more about Machine Learning Using Python and Spark – Enrol Now.
To learn more about Data Analyst with SAS Course – Enrol Now.
To learn more about Data Analyst with Apache Spark Course – Enrol Now.
To learn more about Data Analyst with Market Risk Analytics and Modelling Course – Enrol Now.

The Possibilities of Big Data

It is no secret that Big Data has some wonderful applications that may change the way we interact with businesses, and even more how they interacts with us through other facets of this rapidly growing field. But, what can it do concretely? This blog post shares insights of this question.
 
The Possibilities of Big Data

Endless Possibilities of Big Data

 It can tell you what may most probably happen

Continue reading “The Possibilities of Big Data”

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