Since digitalization has come to view, big data has become a buzzword. The increasing use of big data and data analytics describes its power in empowering organizations across the globe. With so many opportunities associated with this field, this can be a great career move, or it might be an opportunity you have been looking for.
With a growing need for data analysts amongst different sectors, data analysts can expect a higher salary with a median salary of $116,000. Even without much experience, you can earn up to $92,000 on average.
Experts say that jobs for different profiles are likely to get increased worldwide by 2025. According to recent reports, about 80% of the data scientists believe that there is a lack of skilled Big Data professionals who can efficiently perform predictive analytics.
What do you require to understand to make your career in Big data?
Statistics reveal that about 8% of all data scientists have a bachelor’s degree, 92% have an advanced degree in the field, 8% have a Ph.D., and 44% have a master’s degree.
Of course, a traditional educational degree is not the only path to success in the big data domain. Professionals experienced in the field of programming are also well equipped to deal with data analysis, as long as they are trained.
Big Data certifications help you to Advance your career
Don’t expect immediate success in this field as experience and specialization are highly valued in the world of big data. A good career move will be, validating your skills in Big Data and this can only be possible if clear the Big Data Certification training course. Moreover, professionals, these days get to enroll in an online big data certification course which will help them understand concepts covered in big data and Hadoop.
- Analytics: Optimizing Big Data Certificate
The undergraduate-level program covers businesses, marketing, and operations management, and data analysis. From statistics and analysis to written and oral communications, this program encompasses all skills.
Students under this program can build analytics models to understand relationships among variables, learn how to analyze large datasets, and cover analytics topics such as integrating data into an analytics software package, exploratory graphical and data analysis.
Big Data is a new field, and most scientists have about four years of experience on average. Therefore, now is an excellent time to join the field and make a career. If you really want to grab a good job, then you have to certify your skills through certifications mentioned below.
Top 3 reasons to do Big Data certifications
- Ensured success
According to an IDC forecast, the Big Data industry will grow to become a 46 billion dollar industry by 2018, with many industrialists showing interest in Big Data related infrastructure.
Furthermore, IDC predicts an annual growth rate of about 23.1% and approximately 48.6 billion dollars by 2019. Moreover, even the public sector has picked up on the big data trend and makes use of data and analytics in implementing information security policies and programs. This further leads to skill-developing investments.
- Higher salary prospects
Big Data and analytics influxes a pool of talent that helps organizations move forward and refine their big data capabilities. However, there is a shortage of such professionals in the market.
There would be a need for 181,000 professionals with analytical skills in 2018, according to a report of International Data Corporation. Thanks to this trend, IT professionals with these skills are likely to have the power to demand a high paycheck.
As per the study done by Analytics Magazine, the average salaries of analysts in India lies at Rs. 11.7 lakhs per annum, whereas salaries of IT experts stands at Rs. 8.65 lakh per annum.
Moreover, around 39% of analytics professionals hold salaries below 6 Lakhs, if compared to the other 58% of professionals working in another field. If these trends show us anything, it is that if you have the required skills, you can ride the financial graph. So, the more you learn, the higher your economic switch.
Given below are some of the Big Data trends that you can Follow
- Cloud Involvement
Cloud and big data together have delivered multiple applications and products. The most famous product is text and voice-based bot for websites. These bots are designed by arranging the data set of possibilities.
Various platforms are available out there in the market integrated with machine learning for developing products in the cloud like Polly, Azure Bot Service, face API, custom vision service, etc.
- Sentiment Analysis
Sentiment analysis is performed on the data gathered from the internet, social media platforms, software, etc. Data is initially in textual formats. The study involves processing, interpreting and manipulating data with the help of tools like Hadoop, etc.
The analyzed information is then stored in the form of the relational database as with tuples and ordinates. The output dataset is used for prediction and future analysis with the help of data science and BI.
The data set is retrieved from the platforms like facebook, twitter, google directories and other applications. The data collected from the internet as a part of the consumer or public contribution is MapReduce for the improved and better analysis.
- Security Checkups
Big data plays a major role in providing security to large enterprises. It helps monitor and performs analysis of the enterprise data on servers and applications. All events should be interpreted and visualized in a precise yet effective way.
The data deployment technique is integrated with the encryption process for securing the data over the internet from getting compromised. Multiple APIs (Application Program Interfaces) are built to protect each node where data transfers without changing the data structure.
Security companies are working on developing the Honeypot like systems to provide the highest level of security. They collect data from the previous cyber attacks and improve the system by analyzing recorded sets with big data.
So in this way, the application will automatically design an algorithm to get rid of interruption by monitoring a particular attack.
- Energy and Process Industries
Besides this, companies like Intel, Kiwi power, and its partners collect energy data for the efficient power supply to the grid. They analyze existing on-premise datasets to fulfill energy supply-demand of consumers.
They forecast the power load because they have distributed system of supply with a vast number of end consumers. The petroleum industry is dealing with trillions of datasets being generated every hour by upstream and downstream sectors from rig operations, storage, and stimulations to refining process and transportations.
Tools used to ease the effort in such sectors like black oil, petrel, SCADA, etc. produces a good amount of data within a second. They analyze a considerable amount of data to maximize the throughput, production, predicting the future market, supply, and distribution (S&aD) chain, and financial assets.
So we see how big is big data. It also plays a significant role in the retail industry to produce actionable information in an organized way like in tabular formats. The collected data is beneficial in predicting and delivering results that optimize a company’s growth and development.
Big data certification courses are skill based and can vary from starter to expert; for instance, the machine learning certification helps beginners master the concepts of the AL, ML and Big Data.
The big data industry is growing at a faster rate than ever, which has increased the demand for data analysts who can help businesses improve their strategies and planning based on existing data.