Five Reasons to Consider a Modern Data Stack

Fivetran co-founder and CEO George Fraser shares the importance of the modern data stack and five developments he’s eagerly following. When Thomas Edison switched on his first working light bulb, even he could not have predicted that this new technology would eventually revolutionize every aspect of modern life.

Four Ways a Modern Data Stack Can Fuel Results

When record-breaking demand exploded with COVID-related purchases, e-Commerce company Drizly thrived thanks to its modern data stack. Drizy is the world’s largest online alcohol marketplace. From the company’s website and app, users can order their favorite beers, wines and liquors from local retailers, and have them delivered in less than an hour.

How insurers can better deliver at "The Moment of Truth"

It’s all about the Customer Customers today expect services to be highly personalized. In a digital world tuned to understand your likes, dislikes, interests and preferences we expect a similar level of customization in all aspects of our lives. Insurance is no different. Insurance is not something the average consumer thinks about every day but when a life changing event happens, insurance becomes extremely important. It is in this “Moment of Truth” that insurers excel or fail.

Using Artificial Intelligence to Interact with the Stock Market | Snowflake Inc.

Michael O'Rourke, SVP of Machine Intelligence at NASDAQ, discusses how NASDAQ integrates artificial intelligence and machine learning models to identify trends, provide data solutions, & detect Stock Market abuse. Rise of the Data Cloud is brought to you by Snowflake.

How Xandr, AT&T's Adtech Company, Prevents Revenue Loss with Autonomous Business Monitoring

Anodot CEO and Co-Founder David Drai joined Amazon Web Services and Xandr to discuss the shift to machine learning-based anomaly detection in business monitoring. Xandr Chief Technology Officer Ben John shared how their advertising marketplace is using Anodot platform to cut detection from “up to a week to less than a day”. You can watch the webinar at the link above or read on for the highlights of that talk.

Ten Steps to Cloud Migration

In cloud migration, also known as “move to cloud,” you move existing data processing tasks to a cloud platform, such as Amazon Webservices (AWS), Microsoft Azure, or Google Cloud Platform, to private clouds, and-or to hybrid cloud solutions. See our blog post, What is Cloud Migration, for an introduction. Figure 1: Steps in cloud migration.

Demystifying Cloud Data Egress Costs

Understand the impact of data transfer and egress costs across Azure, Amazon Web Services, and Google Cloud platform in data integration One of the most frequent questions asked by cloud-savvy, price-aware customers is something like: Ok, so we like that your tool makes it easy to integrate our cloud database and storage in our centralized data warehouse, but I know our budget will be scrutinized for Total Cost of Ownership (TCO), including our data egress costs.