What is the role of big data in location tracking?

Big data has the capability to store billions to trillions of data records from multiple sources. Usually, these sources include mobile data, customer contact centers, and others. Many industries employ individuals with robust big data training to gain insights from the massive relevant data for business development. Others employ them to build innovative services and apps for users. One of the great examples is Google’s GPS location tracking. Moreover, experts have been using the technology to discover hidden patterns and information correlations. So, let us see how all these combined capabilities of big data helps inaccurate location tracking. 

Big data and GPS

Big data has been the underlying technology that tracks the precise locations of the sites. GPS is one example. Here, big data collect information through radio frequency identification sensors and geographic positioning. Further, once it gets relevant information, it actively provides us with real-time data about route traffic and even alters accident-prone areas.  

Also, with such data on hand, users can plan their routes as per travel time. It is an amazing innovation for the commoner, and if you want to learn the potential of big data, we advise you to take up the best big data certification on the web.  

Aside from this, GPS tracking is highly in use in logistics and commerce markets. 

We get to track out online orders, transit location, good’s conditions, etc. Plus, logistics companies also employ it to discover transport risks enhance the speed and reliability of delivery. All these are due to big data’s excellent capability to collect and correlate information. With your big data Hadoop certification, you can take part in improving GPS systems logistics companies use and help them scale up their customer service. Also, a career in big data can give you an excellent pay scale. Make sure to check through the coursework, requirements, and skillset associated with the online course you choose. 

Big data and LED shop signs

You can find a number of LED signs or electronic display boards throughout highways across India. In fact, restaurants and shops use these signs to be more visible to travelers. Due to their diverse and unique shape, resolution, and colors. But, what is the relationship of big data with LED shop signs? 

Well, big data can leverage deep learning technology to comprehend these signs. Big-data-based GPS tends to interpret the contextual meaning of these types of signs and stores data based on them. Hence, when a user searches for nearby shops or other locations, GPS efficiently displays the list of the sites. Also, GPS provides the most appropriate routes to reach the location through tracking and guides you to your destination. We advise you to take up big data training in case you want to gain an in-depth understanding of the topic. 

How big is data-based location tracking bringing convenience to users?

Earlier, people used to spend at least an average of 42 hours being stuck in the traffic. But, since big data has been scaling up GPS technology, many traffic problems are now nowhere to be seen. Here, big data analytics use data from traffic cameras, smartphone GPS, weather reports, stoplights, and social media text. Further, they perform deep data analysis to predict the flow of the traffic and drivers’ behaviors on different days of the week. 

Satellites and GPS navigation have been revolutionizing the way we used to take road trips. Now, chances of getting lost due to lack of direction with no nearby road signs is not a concern anymore. Hence, people can get to their destinations quickly. With big data certification, you’ll be able to understand how GPS uses big data to display the exact location its user is in real-time more extensively.

Expert’s take on workings of big data and location tracking

As per experts, big data brings the most reliable data to the surface to power up precise location tracking and other relevant predictions. Aside from discovering valuable data sources, big-data tools also use machine and deep learning algorithms. Hence, giving out the best results possible to the end-user. Due to the advancements in location tracking, transport companies efficiently provide services like vehicle bookings through their inherent apps. Modern users are enjoying these conveniences now they can book cabs and track driver’s locations in real-time. Aside from this, cab drivers, food and goods delivery agents can also track the location of the end consumer. Hence, the innovation has been benefiting everyone in a broader space. 

Moreover, with the spreading application of big data in the development of this type of technology, there’s a demand for professionals with big data Hadoop certification. Undoubtedly, career-wise the data-based skills are in top requirements by many organizations. Hence, it is the right time for you to take up big data training to make the best of the opportunity. 


We can expect continued growth in the enhancement of traffic flow predictions with the newer updates in the public transportation frameworks. Moreover, in the coming days, the installation of more smart sensors will take place in appropriate locations like traffic signals. 

Additionally, big giants like Google would need to hire more individuals with big data training to continue leveraging increasing data volumes. In fact, a data-driven approach allows companies to stay at today’s competitive edge. Being able to utilize the real-time data will only bring growth to the businesses while causing the innovation of multiple services for the convenience of humankind. So, do not delay anymore and take up the best big data certification available online to start your career in this field. However, ensure to research the background of the resources you are considering to invest into for courses. 

If you like reading informative content on the latest innovations and developments in the technological space, GLOBAL TECH COUNCIL is the best site to visit for you. Here, you can stay updated with all the recent news and changes regarding the different technologies. 

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