Top Big Data Trends That Will Impact Your Enterprise

1. Top 5 Big Data Trends That Will Impact Your Enterprise Data has become the most crucial asset when it comes to understanding consumer needs and trends. Analysing extremely large data sets to find trends, patterns and associations falls under Big Data. According to BusinessWire, almost all organisations (98.8%) have invested in Big Data projects. Big Data helps enterprises anticipate consumer needs, find opportunities for growth and figuring out the latest trends. As a result, the global market size of Big Data is increasing year by year as data-driven solutions become the norm for businesses, irrespective of their industry. Enterprises are following the footsteps of big data companies in the USA as they gain actionable insight and predictions with their data processing expertise. This has given rise to numerous trends in Big Data. Here are the top Big Data trends that will impact your enterprise. 1. Demand for Data-as-a-Service will Rise Similar to SaaS(software-as-a-service), DaaS(Data-as-a-Service) will give subscribers on- demand access to data according to their needs. DaaS will eliminate the need for in-house storage and management as it uses secure cloud-based solutions and data lake proliferation. Due to a lack of internal resources to set up data management teams, businesses are opting for DaaS as it makes relevant and easy-to-access data available in a safe format. DaaS also allows subscribers the flexibility to access external data sources quickly and easily, no matter where they are located. As DaaS fills the gap between various company departments, every business is going to recognize its benefits in the next couple of years. 2. NLP Systems will Gain Prominence

2. Natural Language Processing( NLP) is the subfield of linguistics, artificial intelligence and computer science. The purpose of NLP is to decode and comprehend the meaning of human language and facilitate communication between humans and computers. As it is mostly based on machine learning, it is commonly used to build translation software and word processing programs. By investing in NLP systems, companies will better understand their customers' opinions and feedback. With the help of NLP systems, businesses can gain a deeper understanding of customer preferences and attitudes to achieve outcomes that drive business value. In addition, NLP will be used to build intelligent virtual assistants and chatbots that have human-like capabilities. Gradient Flow findings show that NLP budgets in 2020 grew steadily compared to the previous year. As more businesses start to see the benefits of NLP, it will soon become one of the leading trends that impacts almost every business out there. 3. Shift Towards Edge Computing Edge computing is an IT architecture where data is processed closest to the data generation source. With the growing number of IoT, ML, Robotics, AR, VR and other applications requiring extensive data processing power, sending intensive workloads to the cloud becomes inefficient. Therefore there has been a shift towards edge computing as the need for quick and real-time data processing becomes increasingly important. As edge computing processes data streams at the periphery of the network, they save time and improve upon latency. Additionally, edge computing requires less bandwidth because the information has to travel less distance. Edge computing decreases the reliance on central data processing systems, thereby lowering the likelihood of network disruptions. 4. Increased Reliance on Hybrid Cloud Technologies Companies are starting to recognize the importance of hybrid cloud solutions where private cloud solutions combine with public clouds. As businesses continue to gather data, data storage capacity becomes an issue as in-house data storage facilities can't keep up with the increasing demand. Cloud-based technologies allow businesses to save on the cost of hiring IT teams to maintain servers and storage facilities. As Cloud technologies consolidate resources, it becomes hard to compete with their cost structure and data protection features. Hybrid Cloud-based solutions will soon become mainstream as enterprises learn about their high flexibility and scalability benefits. 5. Data Fabric Technology to Grow

3. Enterprises can readily store and retrieve data with the use of data fabric architecture across cloud, hybrid and on-premises networks. Organizations that need additional space and better access to their growing pools of big data are progressively adopting data fabric architectures. The use of data fabrics accelerates time-to-value for companies that need both real-time analytics and data democratization since they can deliver it to clients at the pace of their business. In addition, businesses can access all the information needed to make faster and more accurate decisions by utilizing this technology. Data fabrics ensure that the right data is provided in a fast and safe manner, thereby allowing businesses to quickly serve consumer and business needs. Utilising data fabric technologies increases the chances of enterprises having a competitive edge and helps them thrive in their landscape. As data fabric infrastructure is nimble, it allows businesses to fulfil their business goals with decreased complexity. In a world that is increasingly becoming interconnected, data is the lifeblood of enterprises around the world. Therefore, businesses are hiring big data consultancy services to manage the flow of data into their organisation and process it to gain crucial business value. Xebia USA is a big data consultancy service in the US that helps enterprises gain valuable levels of insight and real-time operational control over key business processes.