What is the significance of digital transformation? This is the answer to the question that every enterprise is looking for, and the most common answer is the reinvention of business processes.
Big Data
To ensure that your organization's big data plan is on track, you need to eliminate the following 10 common misconceptions. Let's look at them together.
The data grid can overcome many challenges inherent in big data by driving higher levels of autonomy and data engineering alliances among a wider range of stakeholders. However, big data is not a panacea, it brings a series of risks for enterprises to manage.
As the world continues to urbanize and the amount of data generated by cities grows, the importance of big data analytics in shaping the future of urban life will only increase.
This year's Gartner release on the key data and analytics trends for data and analytics leaders to leverage in the enterprise in 2022 breaks down into three main themes: energizing and diversifying the enterprise, empowering people and decision making, and institutionalizing trust.
The enterprise data space is growing twice as fast as the consumer data space, in part because organizations are increasingly using the cloud for storage and consumption. Much of this raw data is often located in disparate silos at the point of collection, limiting its use in the enterprise.
The application of big data is just like the use of credit cards. The better you use it, the greater the income. On the contrary, can enterprises bear the cost of mistakes in big data? This article describes 6 major mistakes and solutions.
Although big data may seem advanced, but in these years of development, there have been many cases close to our lives, but we may not realize that this is actually "big data" in action.
Data Lake is a term that has emerged in the past decade to describe an important part of the data analysis pipeline in the big data world.
Security solutions that work well locally or in the cloud can be vulnerable when used in a hybrid data center, and organizations need a new approach to meet the data security needs of hybrid data centers.