The big data challenge : How to improve time-to-insight
Blog #1
Writer : Ray Falcione
Name : Willy Erico 謝洪標
Student Id : D0726476
The Big Data Challenge : How To Improve Time-to-Insight
Government agencies are looking for new ways to combine their system of information into a single view to help them make a better decisions, reduce costs, and improve time value. In a new era of analytic, it has a better technology than before so, it can break down the silos and significantly bend the time curve. New platforms based on parallel processing architectures deliver insights at the speed of curiosity. When CPUs and GPUs are able to ingest and interrogate billions of lines of data per second, using familiar interfaces including JDBC, SQL and Kafka, the possibilities are transformative not only in terms of speed, but inquiry as well.
Parallel processing removes traditional data manipulation workarounds like pre-indexing, down-sampling and pre-aggregation. It combines this power with visualization capabilities that allow users to not only view data geographically, but also drill down, pivot and cross-filter in real time, regardless of scale or data size.
The benefits to the government is Parallel processor-based analytics platforms support more than just faster querying. They are also able to render hundreds of millions of points, lines and polygons in mere milliseconds, then make them filterable and interactive. Advanced analytics also makes it possible to democratize the pursuit of curiosity and insight in every corner of an organization.When an agency’s collections of data are finally connected, deeper insights are possible and when the time it takes to get those insights is no longer an issue, better decision-making becomes the norm. Today, everyone can access the right data from the right sources, explore them in the right way and obtain answers never before possible.
Ariel Sonbay
ReplyDeleteD0731711
Comment #4
It really interesting how government manage their system using big data to solve their problem. i though all they do was making decision from their own opinion and data they collect will be processed with their own and not using computer. But i agree with this decision, since it will help them to make a better decision, reduce costs, and improve time value, since in a new era of analytic, we have better technology than before.
Parallel processing removes traditional data manipulation workarounds like pre-indexing, down-sampling and pre-aggregation. So that can be said, there is no need to worry about data manipulation that become concern many people face. It combines this power with visualization capabilities that allow users to not only view data geographically, but also drill down, pivot and cross-filter in real time, regardless of scale or data size. So there is no data can miss from calculation, it is really awesome.
The benefits that government got, really have good impact, not just for them, but the people who live in their territory. The people who lived inside it can also improve their value because they got government, that can provide best decision to make for them. With reducing cost, government will have more money that not be wasted in something not important or waste their money. Maybe with that, they can use left cost, to improve their territory.