And it’s easier and faster for a newbie to get data from the web by using the point-&-click interface.
The Smart mode will extract data in web pages automatically within a very short time. Both experienced and inexperienced users would find it easy to bulk extract unstructured or semi-structured information from websites and transform the data into a structured one.
#Power data extractor windows#
Octoparse is a modern visual big data extraction freeware for Windows systems. To fully meet your big data extraction needs for your businesses to yield good decision-making, I will suggest some big data extraction tools, especially for tech newbies. But such tools seem to be designed for experts in web scraping rather than for people with no coding experience, and few tools can completely suit their needs-either for the low cost-effectiveness or the imperfection of a big data extraction tool. For non-techie guys, they can use big data extraction tools to collect the web data needed. There are many programming languages or resources available on the internet and it’s convenient for a developer to write a web crawler to extract big data from the web. Usually, dozens of small companies like startup companies don’t have big budgets for big data extraction. However not all the companies can afford it. It’s common for big companies to build an IT development department or hire some big data crawler specialists to extract big data from the internet. Such a problem often arises because of the volume of the big data extracted before fully exploiting the data. After all, it’s hard yet important for companies to make a good decision, not to mention a good decision does not always result in a good outcome.
Usually, companies have already collected the data they need but in most cases, they simply don’t sure whether the result of analysis for the “big data” is reliable enough to support decision making. Nowadays, more and more businesses will rely on data-driven decision-making to improve operation once they use the right big data extraction tools and figure out the right ways to analyze the data by using some big data technologies. Since the volume of data is growing so rapidly and thus will accelerate more opportunities for companies to gain deeper insights and find some new ways to widen profit margins by using the big data extracted. It sounds great and encouraging that raw big data can be translated into valuable information to better business decisions. The technologies for big data include massively parallel processing (MPP), data mining for power grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems. Big data technology is used to deal with big data - crawl, manage, process and parse huge volumes of raw data and quickly access valuable information from a wide variety of data types.
#Power data extractor software#
Big data refers to a data set that can not be crawled, managed, and processed, parsed within a certain period of time by conventional software tools.
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