Ví dụ về việc sử dụng To transform data trong Tiếng anh và bản dịch của chúng sang Tiếng việt
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AngularJS provides following filters to transform data.
Easier to transform data so it matches the response(GraphQL Schema).
From edge computing to 5G, LoT is poised to transform data centers.
The use of projections to transform data is a powerful capability of LINQ query expressions.
Information is a power,” andAlexa is one of those must-have tools that you can use to transform data into competitive value for your business.
The suite allows users to transform data found within, and even outside of, the enterprise.
Great marketers will be continuously testing things such as ad copy, new marketing campaigns,and pricing to transform data into the real business achievements.
This ability to transform data into sound gives astronomy a tremendous power of transformation.
Strong analytical skills with the ability to transform data into optimal business decisions.
The Business Analytics major at the Shields School of Business teaches students how to use methods, tools,and software to transform data into information.
Huawei is in a favorable position regarding their efforts to transform data centers for customers, facilitate great success and enable industry transformation.
Bot frameworks, machine learning, and cognitive services- all three are part of the Cortana Intelligence Suite,Microsoft's ambition to transform data into intelligent action.
Fundamentally, Dataeum aims to transform data collection by breaking barriers, decentralizing access to the information and giving back control to the rightful owners.
In the 2014 marketplace, the speed of change in business continues to accelerate,and the pressure to transform data centers and keep them up to date has never been greater.
In the future, AI will enable us to transform data into intelligence in a vendor-agnostic environment where all machines speak the same language, increasing production efficiency from machine to machine across the shop floor.
Note that all three ways of presentation are based on a single system of concepts andthere is no need in the developer's efforts to transform data from one way of presentation to another.
The purpose of encoding is to transform data so that it can be properly(and safely) consumed by a different type of system, e.g. binary data being sent over email, or viewing special characters on a web page.
The remarkable increase in the volume and complexity of available data- and the new technology that has been developed to process it-requires a combined multi-disciplinary approach to design an overall strategy to transform data into useful information.
In today's fast-paced digital world,analytics professionals with the skills to transform data into the kind of actionable intelligence that can drive business decisions are in high demand.
If an entity chooses to transform data by aggregation or transcoding for use on an Internet site built for end users, it still has an obligation to make the full-resolution information available in bulk for others to build their own sites with and to preserve the data for posterity.
The main purpose of data lake is to have a single store of all data in theenterprise ranging from raw data(which implies exact copy of source system data) to transform data which is used for various tasks including reporting, visualization, analytics and machine learning.
The purpose of encryption is to transform data in order to keep it secret from others, e.g. sending someone a secret letter that only they should be able to read, or securely sending a password over the Internet.
All of the necessary associated infrastructure and services are available from the big three, the cloud-based data stores, capable of holding the vast amount of data needed to train machine-learning models,services to transform data to prepare it for analysis, visualisation tools to display the results clearly, and software that simplifies the building of models.
The concept of Data-lake is to have a single data Store of all data in the organizational Entity ranging from raw data(which impliesexact copy of source Data Store) to transformed data which is used for various tasks including reporting, visualization, Data Security Analytics and Machine Learning.
It is a very strong tool to transform your data.
Valentina Studio is the best way to transform your data into meaningful information;
Breaking Update:Hewlett Packard announces partnership with Global Blockchain Technologies to transform the data storage market.
For a supply chain control tower to transform available data into usable information, development is required in three areas.
Take a look on free tool Valentina Studio, is the best way to transform your data into meaningful information;
For example, XSL can be used to transform XML data into HTML/CSS documents on the Web server.