February 20, 2019 – Finance, Tech & Analytics Career Resources

Future of Big Data Hadoop Developer in India

Posted on February 20, 2019February 19, 2021 by Imarticus Learning

Last Updated on 5 years ago by Imarticus Learning

In this era of electronic and digital devices, most people are using Big Data, ML, AI and such without really understanding what goes on to provide those services. Data is at the very center of any application and the sheer volumes of data generated, the variety of sources and formats, the need to manage, clean, prepare and draw inferences for business purposes and making decisions is being used extremely widely. And this spawning of data, means the projects involve Big Data and that technology has to evolve and changes to manage it. This also indirectly implies the need for Hadoop developers. The relationships are symbiotic and spur growth in each other’s needs.

Why Choose Big Data Hadoop As a Career

• Since data is an asset people trained on handling the large amounts of data performing analytics on it and providing the right gainful assets for business decisions are also fast being considered invaluable assets.
• Those employees who do not re-skill to include managing Big Data face the risks of getting laid off. For example, TCS, Infosys, and many other data giants laid off nearly 56,000 people in just one year.
• 77% of the companies and verticals across industries are adapting to use Big Data. Thus many are recruiting data analysts and scientists. Even the non-IT sector!
• The payouts are second to none in the category and a large number of aspirants are taking up formal Hadoop careers, both newbies and those changing careers mid-way.
• Data is growing and will continue to be used even in the smallest of devices and applications creating a demand of personnel to handle Big Data.

The Hadoop Career Choice

Pros:
• Big data applications and demand for trained personnel shows tremendous growth.
• Job scope is unending since data continues to grow exponentially and is used by most devices today.
• Among the best technology for managing Big Data sets Hadoop scores as the most popular suite.
• The salaries and payouts globally are better than for other jobs.
• Most verticals and industries, a whopping 77%, are switching tracks to use Big Data.
• Hadoop is excellent at handling petabytes of Big Data.
Cons:
• Your skills need to be of practical nature and constantly updated to keep pace with evolving technology.
• You need a combination of skills that may require formal training and is hard to assimilate on your own before you land the job.

How to Land that Dream job

Today it would be exceptional if a company does not use Hadoop and data analytics in one form or the other. Among the ones that you can easily recollect are New York Times, Amazon, Facebook, eBay, Google, IBM, LinkedIn, Spotify, Yahoo!, Twitter and many more. Big Data, Data Analytics, and Deep Learning are widely applied to build neural networks in almost all data-intensive industries. However, not all are blessed with being able to learn, update knowledge and be practically adept with the Hadoop platform which requires a comprehensive ML knowledge, AI deep learning, data handling, statistical modeling and visualization techniques among other skills.
One can do separate modules or certificate Big-Data Hadoop training courses with Imarticus Learning who provide such learning as short-term courses, MOOCs, online classrooms, regular classrooms, and even one-on-one courses. Choices are aplenty with materials, tutorials and options for training being readily available thanks to high-speed data and visualization made possible by the internet.
Doing a formal Hadoop training course with certification from a reputed institute like Imarticus Learning helps because:
• Their certifications are widely recognized and accepted by employers.
• They provide comprehensive learning experiences including the latest best practices, an updated curriculum, and the latest training platforms.
• Employers use the credential to measure your practical skills attained and assess you are job-prepared.
• It adds to your resume and opens the doors to the new career.
• Knowledge in Big Data is best imbibed through hands-on practice in real-world situations and rote knowledge gained of concepts may not be entirely useful.
The best courses for Big data Hadoop and Advanced Analytics are available at the IIMs at Lucknow, Calcutta, and Bangalore at the IITs of Delhi and Bombay. This is an apt course for people with lower experience levels since their curriculum covers a gamut of relevant topics in-depth with sufficient time to enable you to assimilate the concepts.
The Big data training courses run by software training institutes like Imarticus are also excellent programs which cost more but focus on training you, with the latest software and inculcating practical expertise. Face-to-face lab sessions, mandatory project work, use of role-plays, interactive tutoring and access to the best resources are also very advantageous to you when making the switch.
Job Scope and Salary Offered:
Persons with up to 4 years experience can expect salaries in the range of 10-12 lakhs pa at the MNCs according to the Analytics India Magazine. Yes, the demand for jobs in this sector will never die down and is presently facing an acute shortage.
Hadoop Course Learning:
You can use online resources and do it yourself using top10online courses.com. However, formal training has many advantages and is recommended. Join the Hadoop course at a reputed institute like Imarticus Learning.
Hadoop has a vast array of subsystems which are hard to learn for the beginner without formal training. The course helps you assimilate the ecosystem and apply these systems to solving real-world industry-related problems in real-time through assignments, quizzes, practical classes and of course do some small projects to show off your newly acquired skills. The best part is that you have certified trainers leading convenient modes and batches to help you along even if you are already working.
The steps that follow are the Hadoop progressive tutorial in brief.
• Hadoop for desktop installation using the Ambari UI and HortonWorks.
• Choose a cluster to manage with MapReduce and HDFS.
• Use Spark, Pig etc to write simple data analysis programs.
• Work on querying your database with programs like Hive, Sqoop, Presto, MySQL, Cassandra, HBase, MongoDB, and Phoenix.
• Work the ecosystem of Hadoop for designing applications that are industry-relevant.
• Use Hue, Mesos, Oozie, YARN, Zookeeper, and Zeppelin to manage your cluster.
• Practice data streaming with real-time applications in Storm, Kafka, Spark, Flume, and Flink.
• Start building your project portfolio and get on GitHub.
Conclusion:
In parting, India and the bigger cities like Bangalore, Hyderabad, and Mumbai are seeing massive growth in the need for Hadoop developers. You will also benefit from a Hadoop training course in Data Analytics and it is worth it when your certification helps you land the dream career you want. So don’t wait. Take that leap into Hadoop today!

What is the difference between Retail and Corporate Banking?

Posted on February 20, 2019November 29, 2023 by Imarticus Learning

Last Updated on 2 years ago by Imarticus Learning

Retail Banking and Corporate Banking Overview

Retail and corporate banks are among the most important contributors to India’s economic growth and development. However, they both operate differently and offer different banking services. So, the major difference between retail and corporate banking is their target customers.

Retail banking provides financial services to individuals and small businesses. Whereas, corporate banking is more geared towards larger quantities of loans and investment products to business conglomerates and companies.

Retail banking is the public’s first impression of banking, with bank branches in major cities. In comparison, corporate banking works with businesses to issue them loans and provide credit. Along with this they also offer savings accounts and checking accounts designed for companies. They don’t serve individuals.

Major differences between Retail Banking and Corporate Banking

Clientele
Amount of money involved
Services offered
Amount of money produced

What is Retail Banking?

A retail banking division deals directly with retail customers. Clients can get various products and services from retail banks. That includes credit and debit cards, mortgages, and personal loans. In addition, retail banking also includes checking and savings accounts and offers investment advice. Retail banking is also termed consumer or personal banking. And, it includes smaller personal investments of clients.

Features of Retail Banking

Small size transactions

Retail banks have small-size transactions. As the amount involved in issuing a car loan, personal loan, or fixed deposit is not high.

Less amount of risk involved

Retail banks lend a small amount of money to their customers. For instance, if a retail bank lent a loan of Rs. 10 lakhs. And, the borrower couldn’t return the amount, the loss is only ten lakhs. As a result, the risk is also low.

Multiple branches

Retail banks must open more branches in places to attract clients and increase the client base. So, you can see many branches of retail banks across the cities.

High administrative and operational costs

Retail banks have a lot of branches and have to spend a large amount of money. Therefore the major expenses are on facilities, staff, and other operations. Therefore, overall expenditure on administration and operation is increased.

Offer multiple services to the customers

Retail banks provide

The facility of opening saving bank accounts.
Offering credit and debit cards.
Lending car loans.
Personal loans.
Various other types of loans to customers.

In addition, selling mutual funds and products like insurance are some of the services retail banks provide.

Deals with a high level of competition

Many players in the market offer retail banking services. So, competition not only increases due to the presence of many players. Furthermore, this is because of interest rate struggles. The retail banking market constantly competes to offer more services at a lower interest rate.

What is a Corporate Banking?

It refers to the customised financial services provided to businesses. A major focus is to help firms finance themselves and raise capital. Examples of corporate banking are employer services, commercial services, cash, and risk management.

Features of corporate banking

Business Clients

Corporate banks offer services to large conglomerates and middle and small-sized organisations.

Getting a corporate account is not easy

The firm must get a consensus from the board of directors to open a corporate account in the corporate bank. Generally, the company treasurer is responsible for opening corporate accounts for the business.

Independence and safety

The corporate account’s content can not be accessible by the personal creditor of the board of directors. The corporate accounts are supposed to be the corporate bank’s property and not the board members. So, corporate accounts give more freedom and security to the account holders.

Credit Rating

The applicable interest rates, the share price of the company, and overall valuation depend on the functioning or conduct of the corporate accounts.

Handsome salaries of the corporate bankers

For establishing and running a corporate bank smoothly, experts are needed. In addition, a high level of expertise is required for corporate banks to develop and function. Corporate banks’ complexities and expertise are hard to handle. That’s why corporate bankers are highly paid.

Major differences and comparisons between retail and corporate banking

Comparison Base	Retail Banking	Corporate Banking
Offered Services	Standardised	Customised
Customer Base	Large	Small
Transaction Values	Low to moderate	High
Operating Cost	Higher	Lower

Let us now understand the difference between retail and corporate banking in detail.

Offered Services

Retail banks provide standard services like opening savings accounts and issuing credit or debit cards. They also provide loans such as personal loans and vehicle loans, etc. Corporate banking offers services to small or mid-size companies and business conglomerates. These services offer cash, credit and risk management, etc.

The difference in customer base

The most common and evident difference between retail and corporate banks is their customer base. Retail banks have a large customer base hausarbeiten schreiben lassen. Whereas corporate banks are limited to a few business clients like mid-small companies.

Transactions

Retail banks involve limited transactions. Whereas corporate banks lend massive amounts of money to their business clients hausarbeit kaufen. Therefore, the transactions involved in retail and corporate banks significantly differ.

Processing or operating cost

Multiple branches, locations, and a large staff add to a retail bank’s operational and processing costs. On the other hand, corporate banks provide limited services and have few office locations studienarbeit schreiben lassen. All this results in low operating costs.

The final takeaway

The differences between retail and corporate banking will help me choose a field. In addition, Individuals can decide the field of their interest app erstellen lassen. In addition, this information is also helpful for the existing bankers and banks. So, retail banking and corporate banking sectors are excellent career choices for banking aspirants.

Imarticus learning offers courses in the finance and banking sector. So, you can get in touch with our team and decide the course of your interest Statistik beratung. Our team will guide you about careers in finance and banking. In addition, our experts will make your journey easy and successful. At Imarticus Learning we are happy to suggest and show you the path to a successful banking career.

10 Interesting Facts About Artificial Intelligence!

Posted on February 20, 2019April 5, 2024 by Imarticus Learning

Last Updated on 2 years ago by Imarticus Learning

Artificial Intelligence has received a lot of focus and attention in the last couple of years. There has been a boom in the innovations that have artificial intelligence at its base. Obviously, the internet has played a crucial role in the development of artificial intelligence-enabled services.

Machine learning essentially an artificial intelligence technique, has been stirring new developments by creating new algorithms that mimic or support human behavior or decision-making capabilities, which are already in use, like Apple’s Siri, or the email servers which eliminate junk or spam emails. You can also see the use of machine learning in e-commerce websites that use it to personalize the search or use of the web experience of their customers.

It is interesting to comprehend the capabilities of machines. Very soon machines will have the capability to perform advanced cognitive functions, processing language, human emotions, the machines will be proficient in learning, planning, or performing a task as intelligent systems.

There is also a definite possibility that the tasks performed will be or can be more accurate than humans, thus artificial intelligence can boost productivity and accuracy, and impact economic growth. Imagine the impact it can have on medical procedures, the continued support it could lend to the disabled, increasing their life expectancy.

Artificial intelligence is a technology that can improve the world for the better, however, it also comes along with some challenges such as machine accountability, security, displacement of human workers, etc.

But right now before the possible alarming impact of artificial intelligence, we could in the today, the now, enjoy learning about some interesting facts.

Interesting Facts About Artificial Intelligence

It is interesting to note that research on artificial intelligence is not only a few years ago, but the inception of AI also goes back to the 1950s. Alan Turning is coined as the father of AI, back in the day he invested a test based on natural language conversation with a machine.
Did you know that a lot of video games that engage humans over time are based on a technique of artificial intelligence and is called Expert System? This technique is knowledge-based and can imitate areas of intelligent behavior, with a goal to mimic the human ability of senses, perception, and reasoning.
Autonomous vehicles are no longer a thing of the far future. The knight rider might actually become a reality in as close as the next 2-3years or less. These cars are based on artificial intelligence to recognize the driving conditions and adapt the behavior. These cars are in the test phase, already developed and almost ready to hit the road.
There is a race that is warming up between social media corporations over perfecting the use of artificial intelligence to enhance the customer experience. Facebook and Twitter are two companies essentially applying AI to match relevant content to the people. Leading this race is Google, coming across as one of the most preferred and reliable search engines.
IBM has created a supercomputer based on AI, called Watson. One of the major challenges of creating Watson was the programming that needed to be done so that it could understand questions in most of the common languages and the ability to attend to those questions in real-time. The development is such that currently Watson is not only applied in various industries but was recently successful in teaching people how to cook.
Sony created a robotic dog called Aibo, one of its first toys that could be bought and played with. It could express emotions and could also recognize its owner. This was the first of its kind, however, today you will find more expensive and evolved versions of the same.
At the rate at which Artificial Intelligence is being adopted in various areas of our lives, it is predicted that it will replace 16% of our jobs over the next decade.

It is a fact that with increased intelligence and ability to perform tasks with accuracy, over the next few years it is predicted that close to three million workers will be reporting to or will be supervised by “Robot-bosses”.
With Machine learning and language recognition, it is no surprise that 85% of telephonic customer service jobs will be performed by computers and will not need human interaction. By the dawn of 2020, it will be possible for all customer digital assistant to recognize people by face and voice.

Organizations and private sectors have recognized the opportunity that AI investments can have on the future of their businesses. Hence have set up major investments in the development of the same.

Finally, one must remember the anticipated impact of AI is on calculated assumptions and predictions.
However, one thing is clear, that AI in the future will impact the internet, its citizens, and economies.

Investment Management – Career and Scope

Posted on February 20, 2019September 1, 2025 by Imarticus Learning

Last Updated on 6 months ago by Imarticus Learning

In the present progressively aggressive world, where different variables – political, financial, focused, social or administrative – always entangle an association’s domain, the interest for appropriately talented supervisors, who comprehend the business and have the vitality and boldness to handle troublesome circumstances, is continually on the ascent.

In a nation like India, where the Investment division is overwhelming the market, being inventive, scientific, a great sales representative and an extraordinary communicator may not be quite recently enough. Another factor that adds to a fruitful administrator’s basic attributes is legitimate learning of cash and the market. This is on the grounds that when one has avant-garde learning of fund, this upgrades his expository systems, institutional practices, monetary hypothesis and down to earth applications, and enables him to settle on viable choices on financial strategies and procedure.
While different organizations over the globe have entered the race to make Investment managers, not very many individuals comprehend which competitor is well-suited for which specialization. For a man who appreciates following the money related markets, comprehends the patterns of the market and always refreshes himself with the offers and stocks costs through different media, a PG in Investment Management is quite recently the correct choice.
Investment Management is tied in with overseeing cash by putting it in an assortment of advantage classes including values (or offers) and bonds. Working around there, which is otherwise called resource administration or store administration, will mean utilizing your mind each day to attempt to outsmart a huge number of different members in the money related markets.
Try not to go into Investment Management on the off chance that you prize sureness and trust that a PC can give unmistakable responses to three decimal spots. You’ll be more suited to venture administration in case you’re interested in the world, ready to challenge an accord and not reluctant to face off regarding issues with senior partners.

The primary day by day assignment is to break down individual organizations and attempt to evaluate their prospects with a specific end goal to attempt to discover which organizations are probably going to beat the market. You could be taking a gander at a wide range of sorts of industry and breaking down anything from iPhones to oil apparatuses or natural nourishment patterns. The principal business destinations of venture administration are to give a decent speculation to customers – and great client benefit as well.

Investment Management employments

The principle parts of Investment Management are investigator and investment manager. As you may expect, the part of an investigator is to break down stocks, taking a view on their future viewpoint and flowing examination inside. This could involve meeting with organization administration and taking a gander at financial information and market patterns.

An Investment Manager (some of the time otherwise called a portfolio or store chief) will then be in charge of putting customers’ cash in an arrangement of stocks. Speculation chiefs will depend intensely on the inside and out research done by examiners when choosing how to contribute. In the meantime, they should assume general liability for how the store is built, taking a gander at the master plan and considering issues, for example, resource designation. Numerous venture directors’ bear on doing hands-on research to abstain from ending up plainly excessively removed from organization examination.
We at Imarticus Learning specialised in training aspirants looking to make a career in the field of Investment Management.

What is Machine Learning and Does It Matter?

Posted on February 20, 2019August 3, 2023 by Imarticus Learning

Last Updated on 3 years ago by Imarticus Learning

Learning can be explained as a process which improves performance from experience, an extension to this definition would be, the process of Machine Learning (ML) which can be explained or defined, as a method through which computer programs, that habitually or spontaneously improve their performance through experience.

This would basically translate into machine’s learning to improve their performance based on limited programming interventions. ML can be considered as an extension to Artificial Intelligence, which believes that Machines should be able to adapt and learn through experience.
ML is not a new innovation and has been around for years, however with new computing technologies, ML has evolved, most of the algorithms have been around, however, the ability to apply complex algorithms to big data, in a loop and more rapidly, is a recent development.

ML is quite integrated in our everyday lives, so much that we might not be consciously aware how frequently we are using the application. For example, there is great excitement over Google’s Self Drive Car, a product of ML. Spam emails being diligently dumped away, or frequent recommendations while shopping online, or offers from particular brands of your interest being brought to your notice, are all direct outcomes of Machine Learning.

Besides the basic applications, more recent complex uses of ML would be early fraud detection in banking, a lot of businesses are able to have a consolidated look at what their customers feel about them, emotional and sentimental analysis is possible through data mining techniques, again a direct product of Machine Learning.

In current times Machine Learning matters, for the possibilities and advantages it offers. There are growing volumes of data available to us easily, computational processing is cost effective, and we have better data storage opportunities, all this indicates that we are right in the center of exciting times, where, we will be able to analyse bigger and complex data faster and more accurately.

Which directly means that organisations will have a better vantage point to make informed decisions, leading to better profits and avoiding risks.

The Advantages of Machine Learning

With a good investment of time in creating training data for machines, learning can then be expedited through experience and learning through algorithms. Implementation and automation then become easy for machines, upon learning, a machine can process several images without any fatigue as opposed to a human brain, which might deliver data with errors.

With good training data input and intelligent processing, with an accurate algorithm, the output can be phenomenal. Hence it is believed that big data and Machine Learning is a great combination, opening doors to various opportunities.

Application of Algorithms in building models may expose links which can help an entity make better decisions with minimal human interventions, keeping biases away.

Most organisations in recent times have understood the importance, benefits and value of Machine Learning technology, as most insights from the available data can be received in real time, hence giving companies an edge over their competitors, and assisting them in better aligning their needs with those of their customers.

Due to these paybacks, application of Machine Learning can be seen in Financial services, Healthcare, Marketing and Sales, Transportation and logistics, Government agencies like Utilities and Public Safety.

So while machine learning has many advantages, it has a few challenges, however, the benefits of the application outweigh the limitations. The ability to decipher big data, with minimal programming, faster and accurate results in real time, will see Machine Learning be applied in various aspects of our daily lives.

Day: February 20, 2019