Uncover 10 big data myths
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.
Category: Big Data
Talking about data lake and data warehouse
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.
Six benefits of big data for enterprises
When executives hear the term "big data", they naturally think of an amazing amount of available data. This data comes from e-commerce and omni channel marketing, or from connected devices on the Internet of Things, or from applications that generate more detailed information about trading activities.
What is the maximum value of big data
Human beings and objects are the two major categories of the earth. Human beings are the most advanced animals on the earth. Objects (animals, plants, organisms, microorganisms, man-made objects) cannot be made. Human beings have wisdom and dominate the earth;
What is streaming data?
Streaming data includes a variety of data, such as log files generated by customers using your mobile or web applications, online shopping data, in-game player activity, social networking site information, financial trading floors, or geospatial services, as well as telemetry data from connected devices or instruments in your data center.
How to Improve Big Data Performance with Low Latency Analytics?
Low-latency analytics is a technology that enables processing and analyzing big data in real time or near real time. It is critical in big data processing because it allows organizations to extract insights from data faster.
Your privacy, how does big data know
On the Internet, everyone leaks certain fragments of information more or less, either actively or passively. When this information is mined by big data, there is a risk of privacy leakage and raises information security issues.
10 Misunderstandings of Big Data Application
The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.
To read big data, you have to master these core technologies first
When it comes to big data, many people can say some, but if you ask what are the core technologies of big data, it is estimated that many people will not be able to say
The untold story of Deutsche Bank's digital transformation
Data silos and unlinked systems caused employees to waste a lot of time moving information around. In addition, the sheer volume of paper and electronic forms forced employees to manually process documents and verify their contents.
