Big Data Analytics is the process of collecting, managing, and analyzing large sets of data, also called big data, to uncover hidden patterns, correlations, and other insights. It’s a process deployed by business corporations to reap rewards like the insight of the market trends, efficient operations, and overall more informed decision making. Data scientists and Predictive modelers use Big Data Analytics to analyze vast data from multiple and varied sources for further use. 

Big Data Analytics uses multiple tools to accomplish its objectives, namely: data storage and management, data mining, data analysis, data visualization, data cleaning, data integration, and data collection. These tools collectively fall under the umbrella of Big Data Analytics. They help companies save time and money and swiftly arrive at informed, data-driven decisions. 

As many as 53% of business establishments are adopting Big Data Analytics as of today. It is so because the adoption of Big Data directly leads to at least a 20% drop in costs and a 25-30% increase in profits. It is also why companies are always on the lookout to hire professionals certified in this particular branch of analytics. Thus, making a lucrative career option and one that is very much in demand today.  

Training in Big Data Analytics 

Big Data Analytics is a relatively new concept but it is spreading as more and more industries are realizing its potential. This creates a very solid demand for professionals trained in Big Data Analytics. Companies need tech professionals with the relevant skills and there are not enough of them. Hence, the credibility of the certification promises great opportunities for both employers and job seekers in this booming field of data science.  

For an individual, a Big Data Analytics course for certification will bring excellent career opportunities as the market for this field is expected to grow by 15% in the near future. Moreover, companies like Google and IBM are investing in Big Data, and hiring professionals with this skill set. It is likely that your current organization will be utilizing Big Data too, making your certification an indispensable asset for you. You can even initiate the change once you are trained in the field.  

As for the organizations, the biggest draw to adapting Big Data is utilizing the data at their disposal. Most companies only analyze about 12% of their data, simply because they lack the means and tools to do so. With a Big Data Professional at the helm, they can finally dive deep into the information they already possess and make better decisions that will directly benefit them. Better decision making also helps enhance customer satisfaction: the number one goal of any corporation.  

What Will Training Be Like 

Once you enroll for Big Data Certification training, you will be taught about its various frameworks like PIG and HIVE in interactive sessions by certified trainers. Learn about ecosystems like Hadoop and various other integrations. Put the theory to practice with the help of case studies and hands-on application. Periodically, you will be provided with questionnaires to help you identify your weak spots and improve on them. 

The following is the curriculum taught in Big Data training: 

1. Introducing Big Data & Hadoop 
2. Hadoop Daemon Processes 
3. HDFS (Hadoop Distributed File System) 
4. Hadoop Installation Modes and HDFS 
5. Hadoop Developer Tasks 
6. Hadoop Ecosystems 
7. Data Analytics using Pentaho as an ETL tool 
8. Integrations 

As you can see, you start with the basics and slowly work your way through the complex topics, with a focus on ecosystems like Hadoop. You will get around 30 hours of live training that will walk you through the curriculum. You can discuss your queries and talk to your trainers if you face an issue at any point. An important part of your job role is going to be to perform real-time analysis – which the training completely prepares you for. 

Here is a list of books you can read to strengthen your knowledge of the Big Data: Too Big to Ignore: The Business Case for Big Data; Big Data at Work: Dispelling the Myths, Uncovering the Opportunities; Big Data in Practice; Analytics In A Big Data World: The Essential Guide To Data Science And Its Applications; and From Big Data to Big Profits: Success with Data and Analytics. 

Career Path 

One of the benefits of Big Data is that it requires absolutely no prerequisites when it comes to certification. You don’t need a degree or even work experience to get a Big Data certificate. All while it’s such an in-demand job role in business. That essentially means you can enroll for a certification today and come out on the other side with a myriad of job opportunities in your hands. All you have to do is put in the dedication. 

You can and should make the most of Big Data. Most people are not aware of it, those who are, know it’s worth. Top industries like academia, banking, manufacturing, healthcare, transportation, government & defense, finance, retail, media & entertainment, and energy & utility peruse the Big Data and not just the information technology. Big Data professionals have a lot of scope to create a career in any industry of their choice with the option to switch as well. 

More and more companies are adopting the Big Data approach simply because it allows them to tap their untouched potential. Decoding data that lies useless is the first step to creating better plans and achieving desired goals. It helps them ‘understand’ their own operations, leading to the creation of better-informed plans. Reduced wastage and costs also contribute to efficiency – something every business aspires for. 

In conclusion, training in Big Data is certainly going to be a positive step in your career, no matter if you are a working professional or someone who is just starting out.