Examples of using Huge data in English and their translations into Chinese
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She acknowledges the difficulty in producing such a huge data set, but also emphasizes that it's a stepping stone to completely understanding fruit-fly behaviour.
Despite handling these huge data sets(millions of aligned reads, dozens of aligned species), it remains lightning fast.
The analysis of Electric Health Records(EHRs) and other huge data sets allows for the optimization of even such mammoth-like systems as healthcare.
To store such huge data, the files are stored across multiple machines.
IDC predicts that the worldwide total of stored digital data will hit 16 trillion gigabytes next year, most of it housed in huge data centers.
In essence, machines are doing what they do best: performing repetitive tasks, analysing huge data sets, and handling routine cases.
Capturing this type of user data very often leads to huge data sets, so all of our queries must be time bound.
In recent years, giants like Yahoo!, Google, and Equifax have all been victim to hacks and huge data losses.
Parallel programming framework MapReduce, developed at Google, and its open-source version Hadoop, simplify data processing across huge data sets distributed across commodity hardware.
Furthermore, one of the best things about Dygraphs is the fact that it can handle huge data sets.
If you are looking for storing such huge data, the files are stored across multiple machines.
Merkle hash tree provides efficient and secure verification of the contents of huge data structures.
Digital clients and social networking users are leading to a huge data explosion today.
Advanced analytic software permits machines to establish patterns hidden in huge data flows or paperwork.
You can explore huge data sets easily and quickly even if the data from your business is a little unstructured.
Much of the hyperscale capex goes towards building, expanding and equipping huge data centers, which have now grown in number to 458.
You must consider that your aggregator needs to process huge data volumes every second.
The company claims it well-suited for training distributed deep learning networks and can process huge data without losing its pace.
The huge data proves that the future market prospects of AI are really impressive.
Merkle hash tree provides efficient and secure verification of the contents of huge data structures.