With text messages, email, and web browsing now thrown in the mix, the telecommunications mindset is really beginning to expand. Fortunately, the storage and processing power of Hadoop open-source software is helping the telecom world better handle its data.
Here are just a few ways Hadoop is transforming telecom in the United States this year and well beyond:
Telecommunications no longer simply involves telephone service. From the Internet and mobile devices to local and wide area networks, telecom is becoming a data heavy enterprise. In order to handle the big data approach to telecom, Hadoop is stepping up to the plate.
With Hadoop, the telecom world can distribute, process, and store data across multiple growing telecommunications platforms. In other words, as telecom continues to take on more data streams, Hadoop can increase its data processing power right along with it.
Related: Top Telecom Companies
Bandwidth fluctuations are a growing problem in telecommunications, especially considering a spike in bandwidth for one area reduces the service quality for another. With Hadoop, network operators can respond to spikes in real-time and distribute bandwidth where necessary.
In addition, Hadoop also allows telecom users to track bandwidth spikes across multiple platforms. This gives businesses insight and an opportunity to strategically plan their bandwidth usage based on spike patterns.
As the following article shows, understanding and improving call quality is a large part of telecommunications, which is how Hadoop is transforming telecom for the better. With Hadoop software, telecom users can process millions of call detail records in real-time while customers are still on the phone.
With analyzing abilities like this, the telecom world can find the root cause of dropped calls and poor call quality almost instantaneously and make adjustments before the problem affects everyone on the network.
In addition, analyzing call detail records in real-time also shortens call wait times, which is always a plus.
Telecommunications relies heavily on infrastructure capacity. When businesses need more bandwidth, it requires new services like transmission lines and service towers, which don't pop up overnight.
On the other hand, installing these services prematurely could result in lost ROI if the capacity increase isn't necessary.
Where Hadoop comes into play is with the predictive analysis of telecom infrastructure investing. Hadoop helps the telecom world better understand network log data, which provides real insight into bandwidth consumption rates by area. Whether the network is statewide or only covers a neighborhood, Hadoop can help telecom users invest in their infrastructures accordingly.
Telecommunications wouldn't function without transmission towers. When these transmission towers fail, it can disrupt service for millions and cause signal degradation for millions of others. That's why maintaining equipment is so important for the telecom world.
Hadoop software not only stores sensor data from local and wide area networks, it also tracks streaming and unstructured data. This gives telecom users the opportunity to compare their maintenance schedules with real-time data and take care of equipment issues before they cause a major problem.
When it comes to telecom in the United States, Hadoop is really transforming the telecommunications landscape.
About the Author: Adam Groff is a freelance writer and creator of content. He writes on a variety of topics including technology and communications.
Intelliwave SiteSense boosts APTIM material tracking
“We’ve been engaged with the APTIM team since early 2019 providing SiteSense, our mobile construction SaaS solution, for their maintenance and construction projects, allowing them to track materials and equipment, and manage inventory.
We have been working with the APTIM team to standardize material tracking processes and procedures, ultimately with the goal of reducing the amount of time spent looking for materials. Industry studies show that better management of materials can lead to a 16% increase in craft labour productivity.
Everyone knows construction is one of the oldest industries but it’s one of the least tech driven comparatively. About 95% of Engineering and Construction data captured goes unused, 13% of working hours are spent looking for data and around 30% of companies have applications that don’t integrate.
With APTIM, we’re looking at early risk detection, through predictive analysis and forecasting of material constraints, integrating with the ecosystem of software platforms and reporting on real-time data with a ‘field-first’ focus – through initiatives like the Digital Foreman. The APTIM team has seen great wins in the field, utilising bar-code technology, to check in thousands of material items quickly compared to manual methods.
There are three key areas when it comes to successful Materials Management in the software sector – culture, technology, and vendor engagement.
Given the state of world affairs, access to data needs to be off site via the cloud to support remote working conditions, providing a ‘single source of truth’ accessed by many parties; the tech sector is always growing, so companies need faster and more reliable access to this cloud data; digital supply chain initiatives engage vendors a lot earlier in the process to drive collaboration and to engage with their clients, which gives more assurance as there is more emphasis on automating data capture.
It’s been a challenging period with the pandemic, particularly for the supply chain. Look what happened in the Suez Canal – things can suddenly impact material costs and availability, and you really have to be more efficient to survive and succeed. Virtual system access can solve some issues and you need to look at data access in a wider net.
Solving problems comes down to better visibility, and proactively solving issues with vendors and enabling construction teams to execute their work. The biggest cause of delays is not being able to provide teams with what they need.
On average 2% of materials are lost or re-ordered, which only factors in the material cost, what is not captured is the duplicated effort of procurement, vendor and shipping costs, all of which have an environmental impact.
As things start to stabilise, APTIM continues to utilize SiteSense to boost efficiencies and solve productivity issues proactively. Integrating with 3D/4D modelling is just the precipice of what we can do. Access to data can help you firm up bids to win work, to make better cost estimates, and AI and ML are the next phase, providing an eco-system of tools.
A key focus for Intelliwave and APTIM is to increase the availability of data, whether it’s creating a data warehouse for visualisations or increasing integrations to provide additional value. We want to move to a more of an enterprise usage phase – up to now it’s been project based – so more people can access data in real time.