The 10 Best Data Analytics And BI Platforms And Tools In 2020
Blog#3:
The 10 Best Data Analytics And BI Platforms And Tools In 2020
Name / Student ID::Sharon 林易宣 / D0740755
Source:
https://www.forbes.com/sites/bernardmarr/2020/06/05/the-10-best-data-analytics-and-bi-platforms-and-tools-in-2020/?ss=big-data#3f42454c560d
https://www.forbes.com/sites/bernardmarr/2020/06/05/the-10-best-data-analytics-and-bi-platforms-and-tools-in-2020/?ss=big-data#3f42454c560d
In 2020, we went through COVID-19, and this
pandemic devastates all of the world's still. From this cruel situation, lots of
industries just closed and non-operated in a short time. However, there are
ever-lasting industries like online shopping or BI platforms are going booming
phase, and be unaffected in volume or stream. It is an obvious point that artificial
intelligence, cloud eco-system, automation, and on-device analytics have
matured greatly in recent years undeniably, on the other hand, the ability of
these platforms need to be stronger and integrated with more organized
analytics.
For
the best 10 data analytic platforms which article provided, they have mutual
points in upgrading security, data management, even give individually natural
language in an automated end-to-end solution. Moreover, they depend on an efficiency
network for better user engagement and adapt innovation to fit in new
operating model, which could be evolved in thinking and understanding what a
user thinking for making a better suggestion. All of these functions may be found
in every platform easily, but it could cost much in management and maintenance periodically.
In order to not be limited in the same operating notion with each other, every
platform needs more IT skills and experts to distribute brand-new sources.
In
the end of the article, here mentioned about SAS Viya as one of the platforms with
new tools in 2020, and we just learned how to use big data analysis by SAS
system. From the practical working in the class, I wish I can really learn how
to use it to analyze some data in other applications or databases, and be a
good user to dig in more capabilities SAS has.
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