Examples of using Big data analytics tools in English and their translations into Chinese
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Carefully choose your big data analytics tools.
Guide to big data analytics tools, trends and best practices.
Carefully choose your big data analytics tools.
Big Data analytics tools should offer security features to ensure security and safety.
To do this, a new generation of big data analytics tools is needed.
Big data analytics tools capture machine-level information to boost production yield and throughput.
Manage brand reputation with social monitoring and big data analytics tools.
Like SIEM, big data analytics tools have the ability to accurately discover devices on a network.
These tools can be two types: Storage and Analysis Big Data analytics tools.
Big Data analytics tools offer a variety of analytics packages and modules to give users options.
These tools can be two types: Storage and Analysis Big Data analytics tools.
Some big data analytics tools are costly, while other tools are low cost or, in some cases, free.
Cloudera- offers a Hadoop distribution, plus data science and big data analytics tools.
Some big data analytics tools are quite costly while other tools cost very little or, in some cases, are free.
They can gather relevant details about a domain's history andcombine this with big data analytics tools.
In fact, some manufacturers have begun to use big data analytics tools to create entirely new data-driven business lines.
Big Data Analytics tools help businesses in saving time and money and also in gaining insights to make data-driven decisions.
As more agencies adopt cloud-based solutions,they will have the benefits of big data analytics tools at their disposal.
Big Data Analytics tools also help businesses save time and money and aid in gaining insights to inform data-driven decisions.
Through technologies such as MapReduce and Apache Hadoop, access to big data analytics tools are increasing in the market.
By contrast, modern big data analytics tools for demand forecasting offer a comprehensive view of data across the user's business processes.
Artificial intelligence and machine learning: Many next-generation big data analytics tools incorporate machine learning, which is a subcategory of artificial intelligence(AI).
Big data analytics tools allow companies to assess the quality and quantity of data about a customer to ensure that it's consistent, meaningful and real.
To fill in the gaps, they often look for big data analytics tools that promise to allow business users to self-service their own needs.
Big Data Analytics tools are important for companies and enterprises because of the sheer volume of Big Data now generated and managed by modern organizations.
Learn how Turkcell/Lifecell Ventures uses their big data analytics tools to respond instantly to humanitarian crises with smart city simulations.
Several vendors have already launched big data analytics tools with"self-service" capabilities, and experts expect that trend to continue into 2017 and beyond.
Several vendors have already launched big data analytics tools with"self-service" capabilities, and experts expect that trend to continue into 2017 and beyond.
Big data analytics tool allows companies to analyze the data and gain insights.
Due to this fact, a big data analytics tool can quickly discover devices on the network and support incident response workflow.