Big Data Courses

Big data combines structured, unstructured, and semistructured data that is processed, analyzed and interpreted by corporates to extract actionable insights. Using these insights, businesses can improve their operations, product offerings, marketing strategies, etc., and make them more customer-oriented.

Big data is also used for several high-tech analytical projects, including machine learning, predictive modelling, etc. This allows the organizations to identify valuable information and use it in diverse ways.

Companies follow every behaviourism and preference of the consumers. This, in turn, helps them create an influential marketing platform and better business foundation.

Companies collect data like texts, phone calls, emails, media, searches, etc. This massive amount of data is beyond the processing capabilities of traditional systems.

Smartphones, IoT devices, social media apps, search engines, etc., create tons of data daily. For instance, search engines like Google track and store your preferences in your search history and leverage it to offer personalized results. All search engines function similarly, based on the recorded user data.

To be more specific, there are three Big data applications, including -

Social Data: As the name itself specifies, this data comes from every activity, including liking, uploading, and sharing, constantly occurring on social media platforms. Web searches have also become a great source of big data.

Machine Data: Several sensors in public places, such as satellites, road cameras, etc., are also commendable sources of Big Data.

Transactional Data: All online transactions on digital platforms are credible Big Data sources.

Other sources include black box data, stock exchange data, power grid data, transport data, and more.

Some significant examples of big data are medical records, media & entertainment records, BFSI data, internet logs, search engine history, meteorological data, etc. Other than that, locations are also used to provide the consumers a better view of the geographic information, traffic conditions, weather, and more.

The use of big data is essential as the companies further use these to provide improved customer service by creating personalized marketing platforms for the users. It is incorporated into the systems of the company and further enhances the revenues and profits of the businesses and gives them an upper hand in the competition.

For instance, if you search for a specific genre of music, more suggestions for artists will pop up on your "for you" page. Or, if you search for a type of shoes from a specific website, a similar kind of shoes or website will pop up in your suggestions. This is how Big Data is used to offer a personalized space for every user.

Certified data analytics help organizations understand the needs of their consumers. It can help companies understand which products are popular among customers and which aren't. This creates an advantage for the company as they can design targeted and customized ads for different buyer personas to boost profits and customer-brand engagement.

Not only online, but big data also offers a better understanding of offline space. For example, different branches of shopping markets will not offer the same kind of products. The offerings usually differ depending on the socio-cultural aspects and customer demographic of specific locations.

The characteristics of Big Data include the 5 Vs and more Vs being added. There are numerous algorithms and processes involved in Big Data Analytics.

Big data is compressed by a wide range of data types, including structured data, financial records or transactions, unstructured data (media logs, documents, etc.), and semistructured data (web searches, streaming data, etc.). This data is cleaned, processed, organized, and analyzed by big data analytics.

Certified data analytics is so huge in number that it has to be processed through artificial intelligence, where the system observes patterns in data and gives the input as soon as possible.