Future of big data: What are the leading data trends?

Name: 木村芳華
Student ID: D0740902
Website: https://www.verdict.co.uk/big-data/

Today's digital economy is driven by big data.
1.  Central governance
Because of the data management and security management will fall to second place in terms of accessibility and speed, most big data vendors need to face growing market perception. Now, most companies address this challenge and publicly prioritizing data governance, they need to change their mode to keep up the big data change.
2.  Data democratization
The broadest applicable user will be easier to get data by themselves.
3.  Data integration
Because of the demand for data democratization in the market, enterprise buyers nowadays need data integration and preparation tools that can maintain access to different data sources and data quality and security will not change.
4.  AI for data quality
One of the benefits of using AI is that it can improve the quality of the data. All of the analysis-driven organization needs this improvement. AI can let companies identify key data sets that require attention to make business decisions, so the companies can reduce their workload.
5.  AI-ready data
Technology vendors are introducing more and more machine-readable data for specific industries to make those who are still accelerating the time to market of customized AI tools.
6.  Data as a service (DaaS)
DaaS is a cloud service that provides users with on-demand data access capabilities and helps companies meet these challenges. The DaaS solution stores and manages enterprise data by compiling enterprise data into related streams. This helps companies reduce storage and management costs and improve quality.

Above are the six leading trends in big data identified by GlobalData, these data trends might change big data a lot during the future, we need to know these trends clearly to keep up with big data changes in the future.

Comments

  1. D0773656 莫浩賢June 19, 2020 at 11:28 PM

    Interesting blog and full of educational, while big data has long been harnessed by leaders across virtually every industry to make key business decisions, today, the field is a proven and established subset of tech. With an ever-growing list of professions and use-cases surrounding big data, trends have emerged in how that data is collected, organized and used. I also want to talk about another trend of big data too. First, Big data becomes wide data.In big data environments, scalable cloud concepts eliminate the limiting local IT infrastructures of companies. A major theme of the year is “Wide Data.” This means that IT is increasingly looking at the fragmented, widely distributed data structures created by inconsistent or incorrectly formatted data and data silos. In the past five years, the number of databases that exist for a wide variety of data types has more than doubled from around 160 to 340. The companies that will benefit most are those that manage to bring data together in a meaningful synthesis in the future. Moreover, big data can competence as a service too. A combination of data synthesis and data analysis will further develop the effective use of data. It will be essential that users receive assistance in reading, working, analyzing, and communicating the data.
    To achieve this, companies must specifically promote the data knowledge of their employees by using partners who offer software, training, and also support the SaaS model (Software-as-a-Service). This not only improves data know-how by optimally integrating DataOps and self-service analytics but also allows data-supported decision-making.

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  2. Gary AuJune 25, 2020 at 12:39 AM

    IoT, Enormous Information and AI are rather like building a house, with a establishment to develop upwards. The Web of Things is just like the source of information and the control operations of terminal gadgets. Enormous information is the stage for capacity and examination of these information, and fake insights is one of the numerous strategies for value-added examination of these information. The processing and examination of information (content, sound, video, etc.) is often the foremost profitable and troublesome portion. There may be numerous ways to realize the issue, but the exactness of each method is different, and the development taken a toll is additionally distinctive. It ought to be assessed to discover the foremost cost-effective arrangement, which is additionally the foremost troublesome portion of information examination.

    The computerized period is coming, and nearly all data is put away in information. From every day daily paper news, music motion pictures, to individual fingerprints, faces, and car permit plates, there are distinctive places in several media designs. Huge information is to gather all the scattered information in a record framework, and the sum of this information is as well expansive to be physically captured, overseen, prepared, analyzed, and totaled. The esteem of information must be changed over into valuable information through a arrangement of handling and investigation. In this manner, the creation of a modern trade demonstrate rotates around the ontology of information and picks up benefits through information trade and sharing. The primary effective case of enormous information distribution is that Google has gotten a expansive sum of significant look information from the look motor. Google’s big data has content, pictures, and articles. It employments hundreds of examination models each day within the 24PB (PetaByte) information volume. An examination was conducted to anticipate where H1N1 may happen within the Joined together States.

    D0709115 區子軍

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