Cloud And Big Data
Big data and analytics offer a competitive advantage to cloud-first businesses like Google, Uber, and Netflix. These companies unleash actionable insights from their big data foundations to solve real-world problems and keep their customers happy.
Let’s consider the example of Netflix. The business strategy of Netflix makes use of big data to analyze consumer behavior and preferences to personalize a unique experience for their users. Big data and analytics fuel Netflix’s recommendation engine. The engine understands the viewing habits of its subscribers including how you watch it, how long do you watch the content, what time you watch, what’s your scrolling behavior on the website, etc. The company uses data structures including Hadoop, Hive and Pig, and other traditional business intelligence.
Big data, therefore, is becoming a core business function to accelerate digital businesses. The Gartner Top 10 Trends in Data and Analytics for 2020 states that by the year 2023, above 33% of large organizations will have analysts to practice decision intelligence, including decision modeling, AI, and complex adaptive system applications.
What is Big Data?
Big Data refers to huge data categorized as structured or unstructured data which is difficult to store and manage through traditional databases. The data is so massive and voluminous that it can’t be easily processed by traditional IT. The data comes from a variety of myriad sources such as Internet of Things (IoT) devices, Point-Of-Sale (POS) terminals, social networks, emails, videos, etc.
How Big Data is related to Cloud
Cloud computing and Big data are closely linked. Let’s find how the cloud provides solutions for Big Data.
Cloud computing focuses on scalable, elastic, on-demand, and pay-per-use self-service models
We are able to scale big data because of cloud computing, so the two can’t go alone. With cloud computing, you get access to distributed processing for scalability and extension via virtual machines to cater the exponential data growth. More data needs to be handled by large and cost-effective machines, for which big data take advantage of the cloud’s pay-per-use and on-demand computation power.
Cloud computing has the power to democratize IT
Cloud makes it all easy for you to handle the big data cluster through its infrastructure. According to the study, by the year 2024, above 45% of IT expenditure on system infrastructure, infrastructure software, application software, and business process outsourcing will transfer from traditional solutions to the cloud. Cloud provides the necessary ready-made infrastructure for big data and allows real-time processing.
Cloud offers a data plumbing system
Cloud enables data pipelines that allow data transferring without creating any bottlenecks. The cloud tools for model management let the data engineers build and work on the models and then connect the models to the data pipelines and track performance. This allows you to handle big data effectively and focus more on valuable insights fetched from data analytics relevant to your business.
Agile cloud-native architecture
With data spread out, it makes it accessible for anyone in the organization to use. But it is more important to make the data not just accessible but meaningful too to the user who is not a data expert. Low-code/no-code tools allow the end-users without having knowledge of how to operate big data. With agile cloud-native architecture, you can easily access and use big data to leverage business agility and performance.
Future of Cloud and Big Data
We live in the age of information, where Big Data has emerged as a new paradigm with abundant data to be used in decision-support applications. To handle the dynamic data growth, cloud computing is a promising solution. The cloud computing environment has fostered Big Data advancements. It influences how big data is managed, scaled, and made productively.
Enterprises are inclined towards contextualized data insight services, such as e-commerce, engineering, healthcare sectors that use big data for decision making for increasing customer base and establishing customized recommendations, etc.
In a nutshell, the future is an era of intelligent data accelerated and driven by advancements in cloud computing. Cloud transforms big data and makes it more impactful. Analyzing the huge amounts of data can help your business to make better decisions and understand customer needs compete with the changing market trends. At Psmorfia, we leverage enterprises with easy and cost-effective cloud services to identify the most valuable data for digital transformation.
Reach us to get more information and scale your business with cloud services.
