Isn't Big Data same as Data Analytics?

GUPTA, Gagan       Posted by GUPTA, Gagan
      Published: June 26, 2021
        |  

Enjoy listening to this Blog while you are working with something else !

   

Yesterday, I was sitting with a client, and suddenly a question popped up from their side. "Isn't Big data and Data analytics the same thing?". I liked the question. Though trivial, but its an important difference to clarify. Short answer is NO. Let me explain.

Jargon and technical names can be downright intimidating and confusing to the uninformed, isn't it? Those involved in the field of computers, data and technologies, have to deal with redundant sounding terminology that is often puzzling. Take the fields of Big Data and Data Analytics for instance. Both have something to do with data, but are seemingly different!
Big Data refers to the massive volumes of unstructured and raw data from various sources. Data Analytics means analyzing of data, providing operational insights into the business.

What is Big Data

Big Data refers to the massive volumes of unstructured and raw data from various sources. Big Data comes with high veracity and is in high volume, and this requires high computing power to collect and process. All these data are collected through various means such as social media, internet, mobile, computer and many more. These data are later processed and analyzed to take strategic decisions in businesses. Bsically, Big data is data that will not fit onto the disk drive of a single machine.
Read my another blog for more details in Big Data.

What is Data Analytics

Data analytics seeks to provide operational insights into the business. It considers historical data and then draws out inferences from them to find better solutions to complex business problems. Data analysis is conducted at a more basic level, wherein data related to the problem is specifically scanned through and parsed out with a specific goal in mind.
Operations Research is an old word that means to apply mathematics to industrial and other processes to fine tune them. Mathematicians and statisticians prior to, say, the mid 1990s did this using the tools available to them at that time.

Many people also uses the term, Big Data Analytics for Data Analytics. This is perfectly alright and thus arrises the basis for confusion for somebody not having the same technical background in the industry.

Example

Think of Big Data like a library that you visit when the information to answer your question is not readily available. Whilst, data analytics is like the book that you pick up and sift through to find answers to your question.
In a banking scenario, Big Data will help the banking industry with:
- To provide personalized banking solutions to their customers.
- Boosting performance.
- Performing effective customer feedback analysis.
- And with effective risk management.

Data Analysts will analyze work systems, information, procedures, and documents of the bank. Bank Data Analysts will assess the financial and management aspects of the bank and hence the cost & time can be determined for each function. This role also has the responsibility of reviewing a monthly audit of cost savings.

Our On-Premise Corporate Classroom Training is designed for your immediate training needs
Isn't Big Data same as Data  Analytics?
Isn't Big Data same as Data  Analytics?

Big Data vs Data Analytics

Involves automatic insights into certain datasets and proposes the usages of queries and data aggregation
Basis Big Data Data Analytics
Definition Data generated from variety of sources in huge volume with high velocity is Big Data Use of specialized software and tools to analyze big data to conclude decision making
Objectives Comprises of everything related to data cleansing, analysis and preparation
Skill sets Set up/Maintain Infrastructure Data preprocessing API development Data pipeline implementation and monitoring Use of specialized software and tools to analyze big data to conclude decision making
Application Areas Financial Services, Retail, Health & Sports, performance optimization, Communication, etc. Healthcare, Travel, Gaming, Energy Management, etc.
Tools Kafka & Storm Cloud Computing AWS/Azure/GCP KNIME, SAS, Python Power BI/Tableau
Structure of Data Mainly Structured Mostly Unstructured
Roles Available Big Data Engineer, Data Analyst, Data Architects

Our On-Premise Corporate Classroom Training is designed for your immediate training needs

Conclusion

In brief, big data is the infrastructure that supports analytics. As you know now, they are related terms. There are certain work areas that can be overlapping, depending on the organization and project. At times, they share sone role titles as well, but the job description is completely different in both. Both the roles are equally important for any data organization. They both are buzzwords, nowadays.
Hope I managed to clarify the difference between the two.

Support our effort by subscribing to our youtube channel. Update yourself with our latest video`s on Data Science.

Looking forward to see you soon, till then Keep Learning !

Our On-Premise Corporate Classroom Training is designed for your immediate training needs
Isn't Big Data same as Data  Analytics?
                         



Corporate Scholarship Career Courses