Examples of using Data tools in English and their translations into Chinese
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Excellent fuel efficiency, innovative technology and useful operational data tools help to control your maintenance costs and maximize your investment.
Like many current Big Data tools, the RapidMiner solution embraces the cloud.
Big data tools like Hadoop enable industries to best benefit from all the data they generate.
But with today's Big Data tools, there's often a drawback.
That process included using different data tools and involving researchers from the University of Chicago, MIT and San Diego State.
Excellent fuel efficiency, innovative technology and useful operational data tools help to control your maintenance costs and maximize your investment.
If so, engage both IT and the business to develop a plan to integrate Big Data tools, technology and approaches into your existing IT infrastructure.
It's noteworthy that the leading big data tools- those that are part of the Hadoop ecosystem- are all open source.
Databases, instructional languages and big data tools should be a part of your repertoire.
Develop an awareness of the latest developments in advanced databases, data mining and big data tools such as Hadoop.
Some of the most popular big data tools available, including the Hadoop ecosystem, are available under open source licenses.
As per the survey results, eight of the top ten most used data tools are derived from or utilise Python.
This shift has been due, at least in part, to wanting to avoid overhyping big data tools as some sort of panacea.
However, some organizations have security or compliance concerns that prevent them from using cloud-based big data tools.
We use data from multiple sources, including Insights for Search, Google Trends and internal data tools.
Through Access to Specialized Patent Information(ASPI), eligible institutions in developing countries can access sophisticated patent data tools and services.
These include employees outside the IT and data teams, who use specific big data tools such as dashboards, market analysis and key performance indicator data. .
Others mentioned that the necessary and most effective data tools for RCPs and IRFs depend on the individual focus of each forum.
It was originally developed by Google, and it also used by several other big data tools on our list, including CouchDB, MongoDB and Riak.
Other products were granted official names as well, including Power View(formerly"Crescent") and SQL Server Data Tools(formerly"Juneau").