5 key reasons to learn Hadoop online

The market of Data Hadoop is going through an enormous advancement, and there is no downshift to this progression. Hadoop has made storing data economical for companies and organisations. Besides, companies can wisely make out a financial plan, easily track down customers’ records, and provide customised recommendations with the assistance of Hadoop. 

People are shifting their career paths as Hadoop has opened doors for lucrative opportunities and growth. An online Hadoop certification course will assist one in learning more about it.

What is Hadoop?

Hadoop is an open-source framework created by Apache that stores and processes high-volume data. It has been coded with the assistance of Java and can be utilised for offline work, and can even be elevated by simply amplifying nodes. Big companies like Twitter, Meta, and LinkedIn use Hadoop because of its benefits.  

Why must one learn Hadoop?

Big Data Analytics Courses

Professionals are advised to learn Hadoop as all big companies will soon declare it a mandatory skill. Hadoop helps to process zettabytes and big unstructured data. Although it is quite complicated to grasp, beginners can easily learn Hadoop online with the many courses available. Learning Hadoop has immense advantages, some of which are enlisted below:

  • Economical- Hadoop is quite more economical than the traditional system. This is because it is open source and stores data in commodity hardware.   
  • Upgradable- Hadoop can be easily upgraded by amplifying clusters with more nodes. 
  • Rapid- Hadoop can distribute data across the clusters faster than any traditional method. Hadoop also reduces the data processing time as the tools are often located on the same servers. Due to this fast technology, terabytes of data can be processed within minutes. Besides, petabytes of data can be processed within a few hours. 
  • Easily resist failure- Hadoop can easily resist failure. This is because it has a feature that can copy data. Therefore, if there is any network failure, this replicated data can be used. Hadoop allows data to be replicated or copied thrice.

Companies are opting for Hadoop as it has a slew of advantages that benefits the companies and allows them to generate more revenue.

Successful anecdotes after using Hadoop

Hadoop by Apache has created history by making impossible aspects real. It is an open-source framework that usually analyses big unstructured data. It also has a lot of potential. Therefore, big companies are using it and receiving positive outcomes. Here are a few immensely famous Hadoop success stories-

  • The immensely famous newspaper company, New York Times, is a current user of Hadoop. They use it to convert their 4 million data into PDFs. This whole procedure takes 36 hours with the assistance of Hadoop. Otherwise, converting 4 million data with traditional techniques is quite tedious.
  • The famous American retail company Walmart also uses Hadoop by Apache. This framework generates customised recommendations for their customers by analysing their recent data. And this method has turned out to be a success for Walmart. 

The ultimate top 5 reasons to learn Hadoop online 

By now, you have comprehended how important Hadoop is for the future. Here are the top 5 lucrative reasons why one should learn Hadoop online.

1. Hadoop offers better and more lucrative career opportunities 

There is an insufficiency of Hadoop professionals. Therefore, companies are offering lucrative salaries and opportunities. Hence, learning Hadoop online will help you learn the required skills and open the doors to great opportunities. 

2. Many jobs are available as Big data and Hadoop professional

As there is an increase in the demand for Hadoop among big companies, it has turned out to be a great job generator. So if an individual is willing to shift his career, they can easily enrol in a Hadoop online course to fit in his job role. Some of the famous job roles are:

  • Data Scientist
  • Data Engineer
  • Software Engineer
  • Data Analyst
  • Hadoop Admin

3. Hadoop has better technology

Hadoop serves better technology than traditional methods. It is also cost-effective and performs better.

4. Big companies are adopting Hadoop

Hadoop is the face of the future. Big companies are adopting it to increase their revenue and adopt profitable strategies. So it is essential to learn Hadoop as it will become one of the main requirements of large companies.

5. Hadoop will lead to Big Hadoop Ecosystem

Learning Hadoop is important, but it is also important to learn technologies that fall under the Hadoop Ecosystem. This will help an individual to diversify and boost their career. So, one should opt for a course that covers the entire Hadoop ecosystem.

Conclusion

Imarticus Learning has brought a data analytics course with placement that will help you to learn more about Hadoop. This online course will help an individual to bag alluring

What are the essentials for becoming an Investment Banker?

Building a career as an investment banker is an attractive proposition. An investment banker career can be exciting, lucrative, and rewarding. At the same time, it is challenging and demanding. A career in investment banking expects us to work in a high-pressure environment. Investment bankers are expected to handle several high-profile financial tasks for an individual or an organization.

Investment bankers are expected to work on key financial matters. Topics like mergers and acquisitions, initial public offerings, client investments, and business plans are part of this list. It is important to have the right skills to become an investment banker and build a successful career.

Investment Banking course

Strong technical knowledge of finance and other related aspects is required. In addition, we are expected to have key soft skills to stay ahead in the game. Here are the essentials for becoming an investment banker:

 

 

 

1. Financial Skills

To state the obvious, we need to have strong financial skills to become efficient investment bankers. As we are expected to handle large-scale financial deals and make sound financial decisions, it is critical to have strong skills in the area of finance, economics, mathematics and accounting.

A good investment banker is expected to know risk management, data interpretation, knowledge of investment products, and regulatory policies.

2. Analytical Skills

An investment banker is expected to handle large datasets and make critical business decisions based on the results. Apart from financial skills, an investment banker must also have an analytical bend of mind. Companies look for candidates that can understand complex data and derive useful insights.

The ability to analyze structured and unstructured data is a huge asset. We can make informed decisions and create an ecosystem in which a business can achieve its goals with analytical skills.

3. Teamwork

Investment banking is a team game and it is not possible to achieve the set objectives alone. As a result, an efficient investment banker needs to be a team player. The ability to work in collaboration with the team and to lead a team efficiently can help us quickly advance in our careers. Teamwork is also important to ensure that the investment bankers can achieve the set objectives for the client.

4. Discipline and Self-Dedication

Investment bankers have to usually work for long hours. As it includes taking several important decisions for the clients, investment bankers must follow discipline and self-dedication. These skills help investment bankers to work in stressful environments and still take the best decisions for the clients.

We as professionals also need to handle independent tasks along with team goals. Thus, it is important to be disciplined and dedicated.

5. Communication

Strong communication skills are key to success in the area of investment banking. It is important to have clear communication 0 be it in the consumer-facing or the back-end desk job. Investment bankers are expected to spend most of their time communicating with clients, potential investors, and members. Therefore, complex financial information has to be conveyed in the simplest form possible.

It is critical to have strong verbal communication with all stakeholders. At the same time, strong written communication skills are needed to help deliver impactful presentations and crystal-clear emails

6. Resilience

An investment banking career includes working in a high-pressure environment along with strict timelines. As the stakes are high with a lot of money involved, personal resilience can help us complete the allocated tasks with ease without any mistakes.

The firms that hire investment bankers also look for resilience as an essential quality in the potential candidates. A strong sense of resilience helps to balance both professional and personal demands in a stressful environment. As a result, resilience can be considered one of the essential qualities of an investment banker.

7. Leadership Skills

Investment bankers are usually found working as junior analysts or financial researchers in the early phase of their careers. However, as we move up the ladder, we occupy important positions like team leaders and senior investment advisors.

The ability to achieve leadership positions in an investment banking career is dependent on the management and leadership potential of a candidate. However, we must show leadership qualities and take responsibility for the work of the team. These skills are important to reach a leadership position in the career.

Certified Investment Banking Operations Professional Course from Imarticus Learning

The Certified Investment Banking Operations Professional Course from Imarticus Learning is one of the most popular Investment Banking Certification courses. The certification-based curriculum covers a wide variety of topics that can help us build a successful career in the field of investment banking. It has an 80% placement success rate.

Anual_Placement_Report

The course not only teaches the basics but also the advanced methods of investment banking. In a nutshell, it helps build a successful career in the field of investment banking. Click here to know more about it.

MBA in Fintech: Combining Finance, Management and Technology

Fintech is revolutionising the financial industry, with technology disrupting traditional banking and finance practices. 

The integration of finance, management, and technology has given rise to the field of fintech in banking and finance, presenting new opportunities for professionals to drive innovation and growth in the industry. 

The rise of cryptocurrency is just one example of how technology is changing the financial landscape. 

This blog will explore the benefits and importance of combining finance, management, and technology in the fintech industry.

Fintech’s Impact on Finance and Business

MBA in Fintech course

The financial services sector has been transformed by fintech, or the fusion of finance and technology. Fintech has improved customer experiences by using technology to make financial services more efficient and accessible. 

Financial services have become more accessible to many people thanks to fintech, including individuals and small businesses.

The use of technology in the finance industry has increased transaction speed and efficiency while decreasing time and cost. As a result, consumer costs have decreased, and financial institutions are now more profitable. 

Better products and services for consumers and improved innovation result from increased competition in the financial services market.

Fintech has also affected businesses by offering fresh ways to manage finances and enhance financial judgement. Businesses can make wise financial decisions and improve their long-term planning with the help of real-time financial data and analytics.

Fundamentals of Finance and Investment

Investment and finance are essential elements of managing personal and business finances. Finance fundamentals include understanding financial statements and ideas like budgeting, saving, and debt management are among finance fundamentals. 

Money is invested in assets to earn a profit. Stocks, bonds, property, and mutual funds are typical investment types.

Setting financial goals, choosing an investment timeline, and diversifying investments across various assets are all important components of a successful investment strategy. 

Making wise investment decisions requires a thorough understanding of the benefits and drawbacks of various investment options and the variables that affect their performance.

Understanding of Technology and its Applications in Financial Services

The integration of technology into the financial services industry has resulted in improved efficiency, accessibility, and creativity. Both individuals and organisations need to grasp the impact of technology on finance to make informed financial choices.

Digital banking is one of the primary methods for using technology in the financial services industry. Digital banking has completely changed how people and companies access and manage their finances by giving them 24/7 access to financial services and information via mobile devices and online platforms.

Using big data and artificial intelligence in financial services is a significant application of technology (AI). Through these technologies, financial institutions can analyse vast amounts of financial data and gain insights that can help them make better decisions and enhance their financial products and services.

Investment management has also seen changes through technology as well. Individuals now have access to a broader range of investment options and tools to aid in making informed investment decisions, thanks to online investment platforms and robo-advisors.

Emerging Trends and Innovations in Fintech

The fintech industry is evolving, with new trends and innovations emerging. Staying up-to-date with these emerging trends is crucial for individuals and businesses to take advantage of the latest advancements in financial technology, including cryptocurrency.

One key emerging trend in fintech is the growing use of blockchain technology. Blockchain provides a secure and decentralised platform for financial transactions and is used in various applications, including cryptocurrencies and digital payments.

Another emerging trend in fintech is the increasing adoption of open banking. Open banking refers to sharing financial data between banks and other financial service providers, allowing for the development of new and innovative financial products and services.

Artificial intelligence (AI) and machine learning are becoming essential in the fintech industry. AI and machine learning are used to analyse financial data, improve risk management, and enhance customer experiences.

Also, the use of biometrics for identity verification and authentication is rising in the fintech industry. Biometrics, such as facial recognition and fingerprint scanning, provide a secure and convenient alternative to traditional forms of identification.

Career Opportunities in Fintech Industry

The fintech industry is expanding, particularly in the banking and finance sector, leading to many exciting career opportunities for individuals with an MBA in Fintech

With the growing importance of technology in the financial services industry, there is a high demand for professionals with a strong understanding of finance and technology.

Some of the vital career opportunities in the fintech industry include:

Fintech Product Manager: responsible for developing and launching innovative fintech products and services.

Fintech Business Analyst: involved in analysing market trends, customer needs, and competition to inform business strategy and product development.

Fintech Marketing Manager: responsible for developing and executing marketing strategies to promote fintech products and services.

Fintech Data Analyst: responsible for collecting and analysing financial and customer data to inform decision-making and improve business performance.

Fintech Security Expert: responsible for ensuring the security and privacy of customer data and financial transactions.

Fintech Software Engineer: responsible for developing and maintaining fintech software and applications, using cutting-edge technology such as blockchain and artificial intelligence.

Fintech Operations Manager: responsible for overseeing the day-to-day operations of fintech companies and ensuring they run smoothly and efficiently.

Conclusion

The fintech industry is a growing and dynamic sector requiring individuals and businesses to understand finance, investment, and technology. 

Imarticus Learning’s KL MBA in Fintech programme provides a comprehensive education in financial technology and equips students with the knowledge and skills to succeed in this exciting and innovative industry. 

With a focus on Fintech in banking and finance, strategic management and digital transformation, this MBA in financial technology programme provides students with a strong foundation in the key concepts and trends shaping the future of finance and technology.

So, if you want to build a successful career in fintech, consider enrolling in Imarticus’ KL MBA in Fintech programme.

Why is Studying Data Important for Understanding Financial Markets?

Data plays a crucial role in financial markets, impacting businesses and shaping investment decisions. Studying data is important for understanding financial markets, as it provides insights into market trends, performance, and patterns. 

This information can be valuable in financial modelling, which is used to build and test investment scenarios, assess potential risk and return, and inform investment decisions. By analysing financial market data, individuals can identify key drivers of market movements and make informed predictions about future trends. 

Furthermore, studying and understanding financial market data is becoming increasingly important in today’s data-driven world, as businesses and investors must effectively analyse and make sense of vast amounts of information. 

Learning data, therefore, provides a competitive advantage in understanding financial markets and making informed investment decisions.

What Are Financial Markets?

Financial modelling techniques

Financial markets play a crucial role in the global economy by providing a platform for buying and selling securities and other financial instruments. 

Investors, traders, and financial professionals can make informed investment decisions and manage risk effectively by understanding financial markets. 

Data analysis and financial modelling are essential tools for gaining insight into financial markets. Using these techniques, they can also conduct equity research to understand market trends and make informed investment decisions.

The Connection Between Data and Financial Markets

Data is closely linked to financial markets, and there are several ways in which data is used to gain insights into financial markets:

Market Indicators: Data such as economic indicators, interest rates, and unemployment rates are used to gauge the overall health of financial markets and predict future market movements.

Equity Research: Equity research uses financial and market data to analyse the performance and potential of individual companies and their stocks. Investors and traders use this data analysis to make informed investment decisions.

Financial Modelling: Financial modelling uses data and mathematical models to simulate economic scenarios and estimate future financial performance. This tool is used by investors and traders to assess potential investment opportunities and to manage risk.

Financial Planning: Financial planning uses data to create personalised investment plans that align with an individual’s financial goals. This type of data analysis is used by financial advisors to help clients achieve their financial goals.

Company Financial Information: Data on individual companies, such as earnings reports, revenue, and debt levels, is used to evaluate the financial health of these companies and make investment decisions.

Historical Market Performance: Studying historical financial market data helps to identify trends, patterns, and market cycles, which can inform investment decisions and minimise risk.

News and Sentiment Analysis: Media reports, social media posts, and analyst ratings are examples of news and sentiment data that can shed light on market sentiment and impact how the financial markets move.

Market Surveys: Market research and data on consumer sentiment help assess the state of the economy and shed light on consumer spending habits and industry trends.

Types of Data Utilised in Financial Markets

Financial markets use various types of data, including:

Market data: This includes data on market indicators such as stock prices, exchange rates, and interest rates.

Economic data: This includes macroeconomic indicators such as GDP, inflation, and unemployment rates.

Company financial data: This includes data on the financial performance of individual companies, such as revenue, profit, and debt levels.

Sentiment data: This includes data on the mood and opinions of market participants, such as analyst ratings, investor sentiment, and social media sentiment.

News and events data: This includes news that can impact financial markets, such as earnings releases, mergers and acquisitions, and government policy announcements.

Geopolitical data: This includes data on geopolitical events and trends that can impact financial markets, such as elections, wars, and natural disasters.

Technical data: This includes market trends and patterns, such as trading volume and price movements.

Financial markets use this data to analyse market trends and conditions, make informed investment decisions, and manage risk.

Benefits of Analysing Data in Improving Understanding of Financial Markets

Studying data helps in a better understanding of the financial markets in several ways:

Improves decision-making: Data analysis provides a complete picture of the financial markets and enables individuals to make informed investment decisions. It can lead to better investment outcomes and improved financial performance.

Increases transparency: Studying data can provide insights into the underlying trends and patterns in the financial markets, increasing transparency and helping to identify potential risks and opportunities.

Facilitates forecasting: Data analysis can help individuals predict future market trends and performance, allowing for more effective financial planning and risk management.

Enhances risk management: By studying data, individuals can identify potential risks and develop strategies to manage these risks effectively.

Supports data-driven investing: Data-driven investing implies making investment decisions based on data analysis. Data study assists individuals in developing the skills required to perform practical data analysis and make sound investment decisions.

Enhances technical analysis skills: Technical analysis involves using historical data and chart patterns to make investment decisions. Studying data helps individuals develop the technical analysis skills required to make informed investment decisions in the financial markets.

Enables evidence-based investing: Individuals can make evidence-based investment decisions by studying data rather than relying on speculation or emotions. It leads to more informed investment decisions and improved financial performance.

Conclusion

Data analysis is essential for gaining a better understanding of financial markets. The data assists financial professionals in making informed investment decisions, risk management, and market trend and condition analysis. Because of the growing demand for data-driven investment strategies, financial analysis has become an essential skill for anyone working in finance.

Imarticus Learning offers a comprehensive financial analysis course to enhance your skills in this field. The Financial Analysis Prodegree covers various aspects of economic analysis, including equity research, financial modelling, and financial planning. Imarticus also includes a Financial Modelling certification course that recognises your knowledge and skills in the field.

So, if you want to advance your finance career or improve your understanding of financial markets, consider enrolling in Imarticus’ Financial Analysis Prodegree in Collaboration with KPMG in India course.

How Digital Marketing and Social Media Help in Brand Building

Brand building is an indispensable part of marketing strategy for businesses wanting to create recognition for themselves. It essentially involves presenting a tangible identity based on its mission to its niche audience.

Marketing strategies have evolved beyond print media and television ads with the advent of technology to move into the digital space. Digital promotions have found inroads in sponsored government websites, text messages, emails, electronic commerce websites, YouTube, social media and OTTs. Above all, connecting directly to consumers has never been easier. More than 50 crore people in India are currently using social media, which will only increase each year. 

Read on to know how digital marketing and social media, particularly, are redefining their role in establishing a brand.

Marketing Technology – A New Outlook 

Marketing technology is shifting, gradually but significantly, from the age-old proven traditional ways of seminars, road shows and customer meets to more cost-effective and quicker digital mode. The boost is fueled by the massive and steadily growing smartphone-using population. 

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Advertisers have used this digital platform as their most powerful means of digital marketing. A huge database created by search engines and YouTube helped digital marketers to segregate genres and infuse advertisements based on personal interests. This was achieved by artificial intelligence generated in the system using similar keywords the customers used.  

Digital Marketing and Social Media Marketing Building Brands

Digital marketing through social media and other online platforms has massively helped companies build their brand.  

  • Brand visibility and reach

Many social media and other digital platforms are free-to-use, thus increasing the brand’s visibility and reach. However, agencies must remember to choose the right platform to advertise their product based on their target audience.

  • Direct buyer-seller relationship

Brand awareness occurs instantly upon uploading a feed on social media. The purpose of grabbing more attention is fulfilled on part of the seller, and a prospective buyer gets an instant update on a new product or service.

  • Brand loyalty

Nowadays, social media and most seller websites have interactive chat options. The process is a two-way communication. Buyers can speak freely and get satisfactory seller responses. Understanding a customer’s needs is prioritised, and brand loyalty is created. It also creates an opportunity for customer engagement. 

  • Product or service re-orientation

Social media provides useful data to the advertiser. This feedback, good or bad, helps the seller to upgrade, optimise or even discontinue a product or a service. Thus, organisations may work towards their reputation management. 

  • Cost-effective marketing

Digital marketing is more cost-effective than its traditional counterpart. The cost of physical marketing elements like banners, flex, transporting and handling charges are eliminated. A text message advertisement broadcast over a specific telecom carrier is a mode of cheap and effective digital marketing. Besides, blogs and posts on popular social media platforms are other inexpensive modes of social media marketing.

  • Alternatives for buyer

More and more buyers are shunning the physical market and adapting online marketing because of the plethora of choices for similar products within a range of prices to suit their pockets sans any physical exertion.

  • Omnipresence

Social media has evolved into an omnipresent platform catering to all age groups at present. Based on the personal preferences of a customer, a digital marketing agency can choose the right product to showcase to a particular demographic. Posting offers and updates at appropriate times helps brands keep in touch with their prospective customer base.  

  • Personal product marketing 

Digital marketing is the best option for advertising those personal products, which cannot be advertised easily either through television or newsprints because of the perceived social off-limits. These advertisements reach the targeted audience based on the interests they have generated through search engines or YouTube. 

  • Community creation 

Digital marketing helps to create a personal bond with clients through social media, which, in turn, helps to generate a community of users of the same product. The community becomes automatic brand advocates, and it gets promoted without additional costs incurred by the advertisers. 

Conclusion

It is a matter of time before the traditional way of marketing gives way to its digital counterpart. With this compelling boost of the internet, job opportunities in digital marketing are also geared up to have robust growth.  

The certification in digital marketing at Imarticus is an online and classroom course. The duration is 4.5 months. This course offers job-relevant skills along with a detailed study of emerging trends and tools.