There is no denying that modern technology is one of the most rapidly expanding industries in the world. As a matter of fact, it is expected that by 2025, the market share value of the web hosting services will exceed $77 billion. Much of this growth can be attributed to Big Data and its influence on businesses and other organizations that are crucial in the economy. In layman’s terms, Big Data refers to large sets of valuable information that can be analyzed to reveal associations, patterns, and trends that can be very beneficial to businesses and other organizations. This data is continuously expanding, and in most cases, it gets to the extent that managing it becomes impossible.
When it comes to storage and processing of Big Data, the speed at which the information is created plays a huge role. If there is a large amount of data to be processed, there is a need for a greater computing power to handle it. This can be quite detrimental for businesses since such draining of computing needs can overwhelm servers and lead to catastrophic consequences. Thankfully, companies such as DevsData have come up with the perfect solution to solve this problem. They provide public cloud computing services capable of scaling up to the number of servers required to complete the analysis successfully. Moreover, they are able to provide the right amount of storage necessary to accommodate Big Data processes.
When it comes to working with Big Data, you might consider using Python language. This technology provides a huge number of libraries to work on Big Data. In terms of developing code, using Python for Big Data is much faster than any other programming language. The reason why Python gains so much recognition in the Big Data circles is because it is very flexible and concentrates on code readability and productivity. Therefore, more and more companies are nowadays looking for a Python programmer for hire.
Big data is definitely a trend that is catching on quite rapidly as brands are looking to acquire as much knowledge as possible concerning their respective markets. Such expertise will enable them to utilize their resources accordingly and leverage new opportunities if such emerge. In order to understand how Big Data works, you must first be conversant with its characteristics. Here is a look at the main aspects that make up Big Data.
Characteristics of Big Data
Although Big Data has been around for a while, it is not until the late 1990s and early 2000s that the name became popular. This came about when analyst Doug Laney highlighted the three V’s of big media: Variety, Volume, and Velocity. Since then, industry leaders have adopted these elements as the characteristics of Big Data, making them mainstream. Here is an in-depth look at these crucial elements.
This refers to the various formats in which data can appear, such as texts, emails, PDFs, and more. They are majorly grouped as either unstructured, structured, and semi-structured data. This information is usually sourced from various platforms and has to be appropriately stored in respective categories to ensure that the analysis process does not encounter any hurdles.
Businesses and organizations that utilize Big Data usually receive information from multiple sources such as social media activity, networks, emails, business transactions, and more. Volume refers to this massive amount of data that a particular entity is receiving. In the past, these massive amounts of information would have been challenging to store. However, thanks to the exponential growth of technology, platforms such as data lakes have overcome this hurdle.
Velocity simply refers to the speed at which businesses are receiving data. Since information travels at a lightening pace these days, companies need to be particularly careful with the rate at which they handle and prepare the data they receive. That is because the processed information has to be delivered to data centers as soon as possible. This will enable them to plan accordingly and make decisions based on the intelligence they have received.
Big Data in Telecommunication
There is a lot more than what meets the eye in regard to the telecommunication field. Trying to comprehend all the industry facets is a big challenge even for some professionals since information keeps streaming in at a fast rate. Using cloud computing to process Big Data can ease this burden by providing the analysis of large amounts of information in a short time. Thus, it is most likely to be a leading trend among leading US telecommunication companies.
Other Emerging Technology Trends Among Telecom Companies
Apart from Big Data, here are other revolutionary technology trends that are likely to flood the telecom market of the United States.
5G refers to the fifth generation of wireless mobile networks. The reason behind the hype surrounding this technological milestone is the numerous amazing possibilities that this advancement promises to bring. On top of being a general improvement to previous generations of wireless connectivity, 5G is believed to deliver higher multiple Gbps data speeds, ultra-low latency, improved data rates, and increased network capacity. In addition, the introduction of 5G will make telecom companies more than just service providers. They will also become technology distributors. Thus, this will mean that such companies are going to have to change their sales strategies to make the technology accessible to all their clients.
Robotic Process Automation (RPA)
It is a form of technology-enabled computerization of specific complex business processes. Robotic Process Automation can undertake repetitive, high-frequency processes that are usually performed by people and complete them more accurately. If properly implemented, RPA can make a world of differences for telecom companies. It will enable businesses to complete arduous yet sensitive tasks with minimal errors and costs while still promoting operational efficiency. RPA works great for telecommunication brands; that is why telecom companies account for the most significant users of this service. They enable high rates of scalability since tasks such as answering customer questions and report generation are automated.
Cloud-based computing has brought forth innovative ways for telecoms to introduce new services and adjust to new market demands a lot more efficiently. Most cloud computing platforms use a pay-per-view service model, which is also beneficial for telecom companies as they provide a cost-efficient way of upscaling. What is more, on top of utilizing this amazing innovation, telecommunication firms can opt to become cloud computing service providers themselves. Coupled with the ever-growing technology sector, this trend is likely to be revolutionary for the industry.
These are just a few of the numerous technology trends that are sure to change the way telecoms operate. Still, the ones mentioned above will perhaps have the most significant impact on the industry.