With the beginning of new tools and advancements in technologies, people have received the biggest reason to make more money. An expert in a new tool gets the privilege of getting a high paying job. This is because the demand is more and the supply is less. One such field/domain is that of Big Data and there is ample demand for a Big Data Job.
What is Big Data?
Big data refers to the large volume of structured and unstructured data because that is what overruns a business on a daily basis. The general meaning of Big Data is not as big as it sounds, but, the possibilities that it unlocks are massive. Apart from being one of the most trending jobs, it is being referred to as one of those jobs which are not at risk right now. If you are unsure about a career in Big Data and want to analyze by yourself about its potential in today’s world, we would recommend you to read this blog till the end.
Why has Big Data been getting so much attention recently?
The growth of social media, mobile information, and cloud information has led to unprecedented amounts of data. The organizations harness the data because they want to extract useful data with actionable insights. However, since the traditional systems couldn’t store, process, and analyze huge amounts of unstructured data, the organizations are turning to Big Data solutions and hence the demand for Big Data job. This way they aim to turn unstructured data into the actionable data that is needed for gaining key insights into their business and their customers.
According to a McKinsey report, the amount of data generated will double every three years. Hence, data analytics skills across industries, with companies are in demand. Countries are preparing for the next recession. The economic downturn should signal to businesses that it must analyze every source of revenue with the help of big data analytics. This can help decrease the risks by estimating which parts of their business offerings are more likely to prosper with the circumstances.
Big Data as a career
A career in big data has never seen a downward trend till now. Organizations have a large chunk of data over these years, and they have finally found the correct path to understand the nature of their business success/failure. With the advancement of the professionals learning Big Data, there has been significant growth in the number of projects and demand for Big Data job. This estimates that there is going to be a huge demand for Big Data Engineers in near future. The demand is increasing exponentially and organizations will require highly skilled employees to work on Hadoop, Python, Spark, and NoSQL.
Big Data Engineer($130,000-$222,000 annually)
Big data engineers are similar to data analysts because they turn large volumes of data into actionable insights. Hence, that helps the organizations to make smarter business decisions. Their key performance indicators include retrieving, interpreting, analyzing, and reporting on a business’s data which is gathered from different sources.
Data Architect($119,750-$193,500 annually)
Such experts are supposed to design the structure of complex data frameworks, as well as build, maintain, and communicate these databases.
Data Warehouse Manager($80,000-$160,250 annually)
Data warehouse managers are responsible for the storage and analysis of data in facilities. They use performance and usage metrics to evaluate data and analyze data load.
Database Manager($111,250-$186,500 annually)
Database managers identify problems that occur in databases and take corrective action to remedy those issues. They assist with the design and physical implementation of storage hardware and maintenance.
Business Intelligence Analyst($87,500-$185,500 annually)
Business intelligence analysts turn companies’ data into insights that executives can use to make better business decisions. Apart from management’s requests for specific information, they also scrutinize data independently to find patterns and trends. Usually, Business intelligence analysts should have a strong background in analytical and reporting tools, several years of experience with database queries and stored procedure writing, as well as online analytical processing(OLAP) skills.
Data Scientist($105,750-$180,250 annually)
Data scientists design and construct new processes for modeling, data mining, and production. In addition to conducting data studies and product experiments, these professionals are tasked with developing prototypes, algorithms, predictive models, and custom analysis.
Database Developer($101,250-$172,750 annually)
A Database Developer analyzes current database processes. As a result, it helps them to modernize, streamline, or eliminate inefficient coding. Working closely with other members of the development team, they have experience with database development, data analysis, and unit testing.
Database Administrator($79,250-$160,500 annually)
They are responsible for monitoring and optimizing database performance to avoid damaging effects caused by constant access and high traffic. They coordinate with IT security professionals to ensure data security.
Data Analyst($83,750-$142,500 annually)
Data analysts work with large volumes of data, turning them into insights which businesses can leverage to make better decisions. They do not limit themselves to a specific industry. Hence, they are usually segregated across a variety of industries—technology, healthcare, workforce management, BPO, finance, and retail.
Benefits of Big Data
Root cause analysis of failures and issues in real-time, because identifying the core of the issue always helps to rectify them.
Data-driven marketing potentials go high, hence making way for profits.
Providing personalized customer offers so that customer retention becomes an effective approach.
Enhancing customer engagement and customer loyalty.
Re-evaluation risk accounts.
Online and Offline customer engagement is much more refined.
A huge breakthrough in one’s career
Big data is a trending field with lots of exciting opportunities for professionals in all domains across the globe. Hence, working with big data is not limited to a specific background. Anyone(with basic pre-requisites) can take it up as a primary job. With the demand for skilled big data professionals continuing to rise, it is the best time to enter the job market with a big data certification.
There are a number of steps you can take to prepare and position yourself to land in one of the titles above. Most importantly, you should consider the skills and experience you’ll need to impress future employers by certifying yourself in Big Data Analytics.
Ivy Professional School has been the epitome of success for many big data aspirants. It has been pioneering in the field of data science, data analytics, big data, etc. partnering with Fortune 1000 companies. The technical skills needed for big data careers often require advanced training and hands-on learning experience. Not only does Ivy provide a certificate for your completion in the big data training, but also gives access to a lot of projects that one can work on and enhance his/her skill. Such projects are based on a real scenario in various industries. Get in touch with our amazing team to know more about how data science could help in creating a dream career.