What is Big Data Technology? It is an advanced fast computing hardware. It s built on Apache Spark framework which is designed keeping in view the real time processing for large unstructured data. Its rich collection of Machine Learning is ideal to operate in the region of ML and AI. It processes huge data in parallel and in on clustered devices.
Why use streaming Data? Streaming Data provides a huge advantage over traditional data management. Traditional data management process involves several steps like recording, storing, analyzing, and reporting. With streaming Data, the flow of data is continuous. The user can easily access and process the data. The Data can be analyzed and worked upon without disturbing the data in its native state.
How is big data technology beneficial to companies? Today, every company is aiming towards becoming competitive. Big Data allows companies to make faster decisions and achieve better results by making collective use of available data and analytics tools. Big Data analytics and data storage help businesses to save cost by efficiently using existing resources. It also enables businesses to derive intelligence from available data and utilize it in a cost effective manner.
What are the benefits of big data technologies? It is a must for any company today. Companies are increasingly leveraging all the available technologies to improve business performance. By leveraging these technologies, they can achieve higher Return on Investment (ROI) and bring about considerable cost savings, as well. The key benefits of these technologies are:
The biggest advantage of streaming data technologies is its ability to deliver insights more quickly. On the one hand, big data tools enable fast decision making. This allows businesses to make quick and accurate decisions that lead to better product and/or business development. On the other hand, it also enables companies to extract insights that help them make informed decisions for future purposes. For example, if a company wants to develop a new product or design, it needs to have quick insights that will help it make a better decision. Streaming technologies help in this respect by providing insights that help in fast product development.
Today, many businesses are using big data tools to develop customer insight, which is required for marketing campaigns and in-house business analysis. Big Data analytics systems enable business users to not only analyze current data, but to also extract, process and visualize the trends and patterns that emerge over time. In this way, insights can be provided for better decision making. This enables businesses to provide targeted solutions to their customers.
In today’s competitive market scenario, companies need to be able to adopt big data technologies in order to remain competitive. Streaming analytics helps businesses by enabling them to manage and analyze large amounts of structured and unstructured data, which can be obtained through different online sources. As streaming data is increasing in popularity, a number of tools and frameworks are available today for the management and usage of structured data. Many companies are exploring the benefits of structured data and are leveraging streaming technologies to implement big data technology.
While there are several options available for business decisions related to big data technologies, such as streaming data mining, structured queries and charting, companies should consider adopting a few open source tools for managing and analyzing data sets. These include Tableau Software, Axapta, Hadoop, Kibana and Google Analytics. These tools enable users to analyze and visualize data sets and are available free of cost. With this in hand, companies will be able to make informed business decisions faster. In addition to this, they will be able to improve their revenue generating processes and increase bottom-line profits.