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Tag: Big Data and Hadoop

Boost your Career and Secure a Job During the Pandemic by Availing our Great Fightback Offers today!

Posted on by Imarticus Learning

Imarticus Learning introduces the ‘Great Fight Back Offer’ where you can sign up for selected courses and avail of good discounts for a limited period from 26th April-30th April 2021. Sign up today and avail of up to 30% Flat Off on placement-oriented, future-skill professional training programs.

 Covid-19 has changed the ways we lived. We are living amidst new normalcy, and we hope it fades out soon. Before we can unmask and return to normal, safety and health has to be a priority for all. The latter priorities being livelihood!

Yes, patterns of the industries have shifted, and employment and recruitment processes have changed. The parameters and eligibility criteria are moving to different alignment rapidly!

Does it put a question in the mind of what to do to advance and keep up the pace?

Well, the answer is simple to update and upgrade your skills. Those looking for an advance in their respective careers can look for new-age career programs. While those falling short of opportunities can consider shifting their career into a different industry.

Learn Data AnalyticsA practical approach and expert advice can work wonders for any task as it lays down a strategic path to be followed.

Upgrade for New Age Career with Imarticus

Imarticus Learning has transformed many careers by enabling aspirants to acquire in-demand skills using an ‘Industry-First approach.’ The idea is to prepare a talent pipeline for the jobs of tomorrow!

With the growing commercial and technological advancements in the global markets, Finance, Analytics, Technology, and Marketing are the industries that tend to secure the top-most position in terms of job opportunities.

These industries are rapidly becoming one of the most lucrative careers in the business world. Finance and Analytics Courses play a significant role in data evaluation for businesses to streamline decision-making processes. Technology simply helps to implement the strategy coming in through management.

‘The Great Fight Back Offer’

Why let Covid ruin your career when you can upgrade and become a skilled new-age professional! With the online learning mode of Imarticus, you get the facility to learn at home, thus, remaining safe and ensure productivity in the spare time.

Register today and empower your career prospects most affordably!

Imarticus Special: 25% off on Data Analytics Courses!

Posted on by Imarticus Learning

What is data analytics?

In the contemporary landscape, data science is at the core of every industry that leverages progressive technology to target and reaches its audience. Data analytics has multiple aspects and can be explained as the process of cleaning, transforming and analyzing data to obtain valuable insights and draw important conclusions. The significance and vitality of data analytics are such that it can help to decode the world around us using statistical figures.

In the digital era, an enormous amount of data is generated and stored regularly from people all across the globe. Whether you are using your social media account or making a purchase online through your favorite e-commerce store, all the internet powered activities generates data that is stored electronically for future reference. Businesses are using data analytics to extract useful information about the customers that can help them design their products and services as per the customer’s need and demand. Some of the key aspects of using data analytics are listed below.

Identifying secret insights

Data is analyzed by businesses to obtain hidden insights that couldn’t have been normally obtained; these secret insights are used as per the requirements of the corporations. Data analytics helps to identify trends and patterns that help to project prospects.

Conduct market analysis

Conducting market analysis is an important application of data analytics. It helps to understand consumer behavior, the general trends and competitor’s strategies. It can help to find out the strength and weaknesses of other players in the industry.

Why opt for a data analytic course?

As we have already established that data science and analytics are at the core of corporate operations. Data analytics has gained widespread popularity in the last decade given the benefits it has to offer to businesses. This has caused a surge in demand for data analytics professionals.

As per the latest estimates, the demand for data analytics professionals in the industry is much higher than the current supply of professionals who are equipped to handle complex data. The data analytics industry is estimated to grow multiple-folds in the coming decade as more and more companies will adopt data science for smart decision making. A career in the field of data analytics is very rewarding and lucrative for those who are interested in making sense of facts and figures.

Imarticus data analytics courses

Imarticus Learning is a technology-driven educational institute that provides an immersive learning experience to students who want to kick start their career in industries such as analytics, financial services, AIML, business analysis, etc. The primary objective of Imarticus Learning is to reduce the skills gap that persists in the economy. The courses offered by Imarticus takes a comprehensive approach to learn both the theoretical and practical aspects of the subject.

Imarticus postgraduate data analytics course is among the best data analytics program available online. It is a well-designed postgraduate data analytics program that studies duration of 450+ hours. The training course takes a hands-on-learning approach to cover foundational concepts of the best analytical tools such as R, Python, SAS, Hive, Spark, and Tableau.

The whole PG program is spread across three semesters. In addition to the theoretical understanding of the data analytics related concepts, students will also gain practical exposure through case studies, live capstone projects, hackathons, and mentorship by industry experts.  The course also entails mock interviews to boost your employability, industry leaders for guidance, placement assurance and much more.

Imarticus Learning is providing a limited period offer on its special data analytics course. Enroll without any delay to avail 25% off on your data analytics course!

How Big Data and AI Work Together?

Posted on by Imarticus Learning

Since our childhood, we have been taught to arrange the raw data to get significant information from it, because raw data itself is meaningless as there is no interpretation behind it. Machine learning (specifically AI) helps to gain the required insights from Big Data to make it purposeful.

At very advanced level AI revolves around a brain(artificial) which analyses the data and makes decisions.

The artificial intelligence is much more required in the field of Data analytics because the traditional analytics are failing miserably to operate the large volume of data that is being created. The fact that more data leads to more purposeful insights results in the intervention of AI in Data analytics.

Both AI and Big data go hand in hand. AI helps in playing around with a lot more data and excessive data helps to train the AI in a better way. In other words, as there is no existence of business without customers, the similar way the power of computers is not very useful in the absence of Big data.

Most of us think that AI is increasingly reducing human intervention in decision making, leading to loss of jobs. Actually, the machine can make decisions based only on the facts, whereas humans use their emotional psyche to make decisions.

The integration of AI and Big data is leading to the more purposeful use of the emotional intelligence of humans in coherence with the facts and figures to make better decisions. This coherence along with proper Big Data analytics training helps businesses to identify the interest of customers in minimal time.

Globalization of business: The availability of a wide range of AI tools in the market leads to its adoption by many companies. The integration of Big Data and AI is helping companies to market the same product in different regions of the world by keeping the track of consumer behavior using AI. This helps in smoother functioning of business in culturally diverse regions without harming the sentiments of the consumers.

Change is always consistent
With the changing needs of customers AI should always improve. To bring in the massive changes in AI catering the future needs one must focus on the AI technologies used with Big Data. Some of the AI technologies used in Big data are:

Disorder recognition is a tool helps in fault detection, sensor network, system health with big data technology.

Bayes’ theory is used to determine the probability (Conditional) of occurrence of an event based on the events which have already been occurred. This theory is best used to recognize the pattern of customer’s interaction with the company results in business providing optimized choices, leading to customer satisfaction.

Pattern Recognition is a technique of machine learning in which AI is trained by giving it certain amount of data, followed by correcting its mistakes manually, which makes AI to recognize the pattern. For example, if I want to train my AI to read my handwriting and convert it into typed text, I will first train my AI using my handwritten notes and then correct its mistakes. This way after few attempts, AI would be able to understand my handwritten notes well.

Graph theory: Through the study of graphs and node relationships, the data can be mapped to the linearity. This model is useful and can help big data analysts to recognize patterns.

To summarize with, both Big Data and AI are two most emerging technologies and go hand in hand. One could utilize AI to decide on how to proceed with big data analysis instead of depending on people. Conversely, Big Data could be used by AI in its self-learning and/or decision making.

What is The Best Way to Jump Into Data Analytics Within The Finance Industry?

Posted on by Imarticus Learning

Mayanka Chowkar talks about getting placed at a leading Data Analytics finance firm after her Imarticus stint.

I completed my B.Com, and M.Com as well, and was on the lookout for a platform to jump into the finance industry.

I felt Imarticus would be a great way to get into the industry.

Some of my friends have done this Big Data Analytics Training course already and landed good placements. Seeing that, I thought it would be an excellent opportunity for me to also get into the industry through this course and through Imarticus.

I’d rate my experience with Imarticus as a solid 4. I loved most of the concepts and information that are given during the course. The faculty is also excellent.

The Imarticus Learning placement system worked wonders for me.

The staff members and faculty on the course and in Imarticus, in general, have helped me by giving me placement opportunities even before the course ended! By doing this course, I got a once-in-a-lifetime opportunity to learn about the industry and was placed in a good company, too. I’m really excited and happy about this.

I have been placed as an associate and have been tasked with handling the derivative operations. I will be joining my new workplace soon, and I’m so excited about it, I don’t have words to express enough!

Want to learn in-demand skills in the data analytics industry? Talk to an Imarticus counselor today.

How Big Data is Implemented in Business?

Posted on by Imarticus Learning

Big data is everywhere, and behind every organized solution, you face on the daily. The term refers to massive sets of data that inundate businesses during day-to-day operations– but it’s not the data dump itself that matters to businesses, but the goldmine of insights it reveals once it’s sifted through, analyzed and put into plain and simple words.

The amount of data an average business sees in a day is torrential. Big data scientists find themselves having to deal with the ‘three V’s’ as they’re called:

  • Volume: tonnes of data from a dozen different sources including social media and daily transactions
  • Variety: structured and unstructured data; numeric or stock; video or audio
  • Velocity: Breakneck speeds at which data flows in from all channels into the dump

Big data is highly complex and interrelated, which means sifting through and making sense of it can be quite the herculean task. However, the insights gathered through the process of going through the dump can enable reductions in costs, effort and time. It can also open up new revenue streams, enable the development of new products and bolster analytical and strategic business decision-making.

How is big data implemented in business?

The traditional method of storing data is by using relational database software, built for Structured Query Language (SQL). However, the future of big data began looking too complex for businesses to be able to control, which led to the introduction of NoSQL.

NoSQL is customizable and scalable, making them ideal solutions for businesses both big and small. It’s made specifically for big data, and stores data in the following ways:

  • Document storage
  • Graph storage
  • Key-value storage
  • Column family storage

NoSQL provides real-time, super-quick access to data, without the need for schemas and columns. This allows the running of real-time programs towards furthering business processes. Without the schema middleman, data scientists can directly interact with tonnes of data, which in turn saves any business a lot of effort, time and money.

Why is big data important in business?

Industry professionals and students alike are looking to learn big data analytics and science because of the plethora of job options it opens up in the world of business.

Access to information

Bug data opens up new avenues for businesses to explore, be it in terms of generating revenue, introducing new products or strengthening marketing. It enables real-time data monitoring and allows for A/B testing where necessary without too much of an impact on ‘business as usual’ if the strategy doesn’t work out.

Faster decision-making

Hadoop and other in-memory analytics software allow businesses to conduct analyses on information immediately, further enabling them to come to crucial decisions faster and based on data instead of speculation. Big data can also be leveraged to lookup more updated and dynamic data, allowing decision-making to be accurate as well.

Conclusion
As a good data analytics course will show you, big data is in use across several burgeoning industries, each with their own means and end goals. Be it manufacturing, pharmaceuticals, retail or even governments, there is no place big data can’t be implemented– which means there is no place big data specialists can’t go.

Is Big Data The Key To Curing The NHS?

Posted on by Imarticus Learning

Is Big Data The Key To Curing The NHS?

The essential and key aspect of every developed nation-state is access to better healthcare facilities. In a dwindling mass of third-world countries, we often find that poor healthcare affects the economic resources that remain untapped for a long. The National Healthcare system developed in the United Kingdom in the aftermath of World War 2 was the most progressive decision undertaken by the state and sovereignty for its citizens and that protects them till today.

This healthcare system can also be accessed by international citizens who stay in these places for a short period of time owing to various reasons. Since its establishment in the early 1950s, it has facilitated an increase in the life expectancy of people. However, handling such large amounts of patient records can be extremely gruesome and challenging especially with the late detection of many diseases the NHS has of late been suffering from a series of major losses. It can, however, be avoided with the emerging technological renovations happening all over the space, especially with the emergence of Big Data.

Big data training helps in involving and combining unstructured databases with a structured database and helps in providing the best solutions to the data barriers with its system of integrating, transforming and empowering the services.

The benefits of big data are clear, and it has become much easier for organizations to collect and store this level of data from their customers and stakeholders. The challenge is to convert that data into information that can help improve operations. For the NHS, its test run operations in Scotland have helped in not just collecting data but also implementing the analysis techniques to understand the warning signs of various new diseases. This targeted intervention can help the NHS from not just run into deficits but also save many more lives.

However, this intervention has to be systematically curated and the needs of the organization addressed effectively to overcome the barriers that exist in the implementation of data analytics. These businesses provide solutions in the market that can cater to almost all niche business operations and ensure that the products and services provided by them are catered effectively.

The predictive data analytics helps in providing a potential light on the patient flow and hospital demands and allows the NHS to make informed decision-making. It helps in allocating the NHS appropriate resources and improving its time efficiencies.

But there also exists a barrier to the implementation process. The big data analysis is seamless but requires huge investment, especially in cases of NHS where a large amount of information has to be provided and the IT infrastructure and data have to be organized to ensure the flow within the business.

Therefore, utilizing this big data across the organization needs to be balanced with an effective training process for the staff to work with these technological assessments. This data also has to be regulated and protected to avoid any mishappenings. It will require initially huge financial investments and operational changes and trained staff to handle the situation at times of crisis.

Therefore, what we have to look at now is whether this system is effective and can it really change the dynamics of healthcare in its absoluteness. Arguably we could say that the investment process is too difficult considering the present scenario of the market systems and the long-term potential to drive down costs across the NHS. However, in today’s world, technological means have the potential to save a company from going into bad daylight and bring about a revolution in the system process and ensure that the healthcare system can become really effective in the long run.