Examples of using To manage data in English and their translations into Chinese
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This makes it easier to manage data.
You need to be able to manage data effectively, from collection and access to cleansing and preparation.
Which tool should you use to manage data?
As it gets simpler to manage data, data itself will become more valuable as it becomes easier to use.
The Level 2 enterprise recognizes the need to manage data science work products.
Achieving compliance requires some companies to significantly alter the processes andtechnologies they use to manage data.
Could blockchain be used to manage data security?- Veeam.
By default,Zope's object database uses the operating system's file system to manage data.
Now, blockchain can offer a responsible and secure way to manage data in a way that benefits everyone.
Approaches to manage data streaming, such as Kafka or Flume, are emerging to help organizations deal with high-volume, real-time data analysis.
Aggregates make it easier for the database to manage data storage over clusters.
In theory, this will allow applications to iterate faster, though, clearly,there can be undesirable side effects if the application fails to manage data integrity.
One example is a gateway,also called a proxy or broker, to manage data security on behalf of many types of devices.
In the near term, the advancements in the use of socialtechnologies will provide contextual ways to manage data centers.
Security teams are finding it ever more challenging to manage data protection policies, and solutions are often time-consuming and manual.
Leading genomics institute replaces NAS with StorNext to manage data growth.
Our integration with goBIM allows us to manage data in a structured way and use smart filters when exporting information to whoever needs it.
We use 128GB MacBook Pro and iCloud subscriptions to manage data well.
Meanwhile DNA is already being used to manage data in a different way, by researchers who grapple with making sense of tremendous volumes of data. .
The reason why Blockchain is relied upon is its accuracy andpotential to manage data with ease.
The project is written using flow-based programming andprovides a web-based user interface to manage data flows in real time.
All organizations need to manage data quality in a phased, iterative, and ongoing process that includes data quality assessment, planning, and strategy selection and implementation.
With each year, there seem to be more andmore distributed systems on the market to manage data volume, variety, and velocity.
These are all tasks for which machine learning is well-suited,and we're increasingly seeing software like MLFlow used to manage data pipelines.
For example, a WordPress stack will include WordPress,as well as the MySQL database to manage data, Apache Web server to serve the pages, and phpMyAdmin to administer MySQL.
It lets users see what data your website collects,while also providing administrators with some handy tools to manage data and user consent.
The company's models are used by organizations around the world to develop products,to deliver services, and to manage data, people, and sourcing.