Have you ever thought about where a large amount of data gets stored which is collected by retail companies and supermarkets? Let’s find out how retailers exploiting big data to manage the essential information of customers, products and employees. Many big companies adopted big data in their business. One of the characteristics of Big data is a Volume-Amount of Data. Some big retailers such as Amazon, Shopify, and other e-commerce sites get real-time, structured, and unstructured data, ranging between terabytes and zettabytes every second from millions of consumers. Customers now purchase products through various platforms, such as smartphone and computers, use real-time information across social media, consumer forums and blogs, and make purchase choices through feedback, comments, price comparisons, and product suggestions. Big data has transformed the corporate world, helping businesses to conveniently access and retain valuable data about their customers, products and employees.
Data Warehouse
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| Concepts of data warehousing (Laudon & Laudon ((2005)). |
The ability to handle massive data volumes is a classic necessity, this is where Data Warehouse comes into the picture to store the large volumes of data from various organization’s operational data sources as well as external sources, and in so doing it manages the flow of information in addition to correlating the data. They maintain historical information, making it possible for market executives to evaluate data over a specific period. Data warehouse platforms often sort data depending on a range of topics, such as buyers, products or business decisions. The data warehouse offers an operational data server to support retailers in the decision-making process. (What
is a Data Warehouse? Definition, Concepts, and Tools, 2021)
Walmart, the world's largest retailer with over 20,000 outlets in 28 countries, is developing the world's largest private cloud to handle 2.5 petabytes of data per hour. In order to make use of all this data and to make it work to tackle problems, the organization has developed what it calls its Data Café (Café stands for Collaborative Analytics Facilities for Enterprise) – Analytic Hub housed within its Bentonville, Arkansas headquarters. At the Data Café, Walmart experts will design, analyse and simulate more than 200 streams of internal and external data, including up to 40 petabytes of recent transactional data, and provide solutions. Using not only vast deposits of transactional data but also information from 200 other databases, including meteorological data, economic data, Nielson data, telecommunications data, social media data, gas prices and local event databases, the power of the Data Café integrates insight to forecast results and address problems and make retailers more effective, adaptive and productive. (Walmart: Big Data analytics at the world’s biggest retailer, 2021)
It’s no secret that big data will beneficial for the retail industry. Retailers need to gather, handle and review such structured and unstructured data to follow consumer approaches that will help them reach consumers. Data warehouse changing the face of the retail industry by storing and handling the data. What is your perception of the data storing technique of Walmart from this article?
Author: Akshata Dalvi
Keywords:
Data Storage
Data Warehousing
Big data in the retail industry
Reference
Bernard Marr. 2021. Walmart: Big Data analytics at the world’s biggest retailer. [online]
Available at: <https://www.bernardmarr.com/default.asp?contentID=690>
[Accessed 22 February 2021].
Talend Real-Time Open-Source Data Integration Software.
2021. What is a Data Warehouse? Definition, Concepts, and Tools. [online]
Available at: <https://www.talend.com/resources/what-is-data-warehouse/>
[Accessed 22 February 2021].
Well written! Using the cloud allows organization to adhere to many of the best practices when it comes to backups and disaster recovery by providing: Enough storage to ensure that files are backed up. An off-site location for storing your backup files. An easy way to fully restore from a backup.
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ReplyDeleteAkshata, your writing is excellent...! It is accurate that the amount of data available for computer systems to analyze and manipulate grows at an exponential pace. The vast volume of data, dubbed "Big Data," placed strain on current technologies' ability to provide flexible, fast, and effective support. Recent applications and new multi-domain computing consumer assistance aided in the transition from data-centric to knowledge-centric computing. It remains a problem, in my opinion, to optimally store, location, or transfer such large data sets through data centers.
ReplyDeleteData access or utilization habits, in particular, must be studied due to the regular changes in device and data center behavior (i.e., resources or latencies). The primary goal is to find a better data storage position that reduces total data placement costs while also improving application efficiency (such as throughput). I should thank you for your thorough examination of various technology relevant to Big Data management and for guiding me toward their collection in the sense of meeting their non-functional implementation requirements.
--Thomas Devasia
perfect work akshata. The way you chose for writing this blog and the introduction are really impressive and simple. The blog is really helpful to understand the importance of big data in business industries. This help the people who are interested to know about data storage and data warehouse. Walmart is the world’s largest retailer. They use data cafe for the advantage of customer and the company. Walmart has become the largest retailer in the world by understanding the customer needs and observing the customers. They are the best example for a leader when it comes to big data analytics.
ReplyDeleteGreat work Akshata another amazing article!
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