Recent Posts by Sherry Tiao

In today's world, there's an ever-growing deluge of highly diverse data coming from diverse sources. In the struggle to manage and organize that data, practitioners are finding it harder when they only have the traditional relational database or data warehouse as options. That's why the data lake has become increasingly popular as a complement to traditional data management. Think of the traditional data warehouse as a reservoir—it's cleansed, drinkable. The data lake, on the...

And What Can You Do with It? Simply put, Oracle Cloud Infrastructure Data Catalog helps organizations manage their data by creating an organized inventory of data assets. It uses metadata to create a single, all-encompassing and searchable view to provide deeper visibility into your data assets across Oracle Cloud and beyond. This video provides a quick overview of the service. This helps data professionals such as analysts, data scientists, and data stewards discover and...

And how does it work? Incredible things can be done with data science, and more appear in the news every day—but there are still many barriers to success. These barriers range from a lack of proper support for data scientists to challenges around operationalizing and maintaining models in production. That is why we created Oracle Cloud Infrastructure Data Science. Based on the acquisition of DataScience.com in 2018, Oracle Cloud Infrastructure Data Science was built with the...

There are so many buzzwords these days regarding data management. Data lakes, data warehouses, and databases – what are they? In this article, we’ll walk through them and cover the definitions, the key differences, and what we see for the future.  Start building your own data lake with a free trial Data Lake Definition If you want full, in-depth information, you can read our article called, “What’s a Data Lake?” But here we can tell you, “A data lake is a place to store your...

When it comes to taking a trained machine learning model and putting it into operational use at the company, TDWI found that it took 14 percent of respondents over 9 months for just that step alone. But for more than 20 percent, that same step took only a few days to a few weeks. There are several actions you can take to ensure that you'll be part of the fast 20 percent, not the slower 14 percent. One of them, of course, involves using your database for machine learning. What...

Netflix’s famous algorithm challenge awarded a million dollars to the best algorithm for predicting user ratings for films. But did you know that the winning algorithm was never implemented into a functional model? Netflix reported that the results of the algorithm just didn’t seem to justify the engineering effort needed to bring them to a production environment. That’s one of the big problems with machine learning. At your company, you can create the most elegant...

Here are some interesting facts that we’ve recently uncovered about cloud database security in the Oracle and KPMG Cloud Threat Report 2019: 73 percent of respondents feel the public cloud is more secure than what they can deliver in their own data center and are moving to the cloud 71 percent of organizations indicated that a majority of this cloud data is sensitive—up from 50% last year 30% cited the inability of existing network security controls to provide visibility into...

According to Ernst and Young, $8.2 billion a year is lost to the marketing, advertising, and media industries through fraudulent impressions, infringed content, and malvertising. The combination of fake news, trolls, bots and money laundering is skewing the value of information and could be hurting your business. It’s avoidable. By using graph technology and the data you already have on hand, you can discover fraud through detectable patterns and stop their actions. We...