Big Data vs Data Analytics vs Data Science: What’s The Difference?

Data lies at the heart of the decision-making process of all organisations today. From consumer behaviour to predictive analysis, organisations regularly collect, store and analyse data to make wise decisions, streamline marketing campaigns, and develop winning ideas that improve their business.

Data-driven decision-making is the key to a successful business. That is why organisations use big data, data analytics, and data science to identify new opportunities, optimise their performance, and increase profits.

At IDC technologies, we deliver big data, data analytics, and data science services by leveraging data information and creating effective strategies for upscaling your business.

This blog will help you understand the difference between Data Science, Big Data, and Data Analytics

What is Big Data?

Big data refers to the humongous volume of data from various sources. The data can be in different formats like text, jpeg, audio, video, and more. This is large and complex to be stored and is simplified with traditional data processing tools. That is why new tools have emerged to analyse big data and discover valuable information, helping companies make predictions.

Where is Big Data used?

Big data is used in industries like financial services, retail, health,sports, communications, and more.

What are the Big Data Tools & Technologies?

Tools mostly used in big data include Hadoop, Spark, Flink, Storm, Cassandra, Kafka, Tableau, and RapidMiner, among others.

What is Data Analytics?

Data analytics is the process of analyzing data to obtain useful information and insights. The process involves inspecting, cleansing, transforming, and modelling data using qualitative and quantitative techniques.

Businesses can use data analytics to support decision-making and improve their business by identifying their customer preferences, purchase habits, and market trends.

Where is Data Analytics used?

Data analytics is used in healthcare, travel, gaming, IT industry, energy management, and more.

What are the Data Analytics Tools & Technologies?

Tools mostly used in data analytics include Microsoft Power BI, KNIME, SAS, and Python, among others.

What is Data Science?

Data science is a multidisciplinary approach that combines scientific methods, mathematics, statistics, specialized programming, machine learning, and algorithms to understand and analyse business insights concerning data. It also involves solving problems and arriving at the solution. It has an ingenious way of capturing data which is further cleansed, prepared, and analysed.

Where is Data Science used?

Data science is used in internet searches, search recommendation, e-commerce, digital advertisements, image & speech recognition, fraud & risk detection, and more.

What are Data Science Tools & Technologies?

Tools mostly used in data science include Python, SQL, R, C++, Java, Apache Spark, SAS, and MATLAB, among others.

Big data, data analytics, and data science help businesses and organizations tackle huge data sets and extract important information. At IDC Technologies, we offer big data and analytics services to help you make the right and quick decisions for your business.