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Growing With The Data Cloud - Lightfold's Story Of Startup & Success Through The Pandemic

Lightfold, a young analytics consultancy based in Brisbane, Australia, came into being in 2019, just before COVID hit, with the goal of helping companies gain mastery over their data by helping them build modern data stacks centered around Snowflake. In this episode of “Data Cloud Now,” Ryan Green, chats with three members of the Lightfold leadership team–CEO John Cosgrove, Data Evangelist Graeme Lewis, and Director, Design and Product, Kylie Willett–about their company’s origin story and about the way in which Snowflake’s technology has fundamentally changed the way organizations think about data.

Webinar Recording: Accelerating Cloud Data Modernization

As organizations seek to become more competitive, they are often looking to enrich their data sets for analytics to gain deeper insights. The data used for enrichment may include text data, machine data, image data, geospatial data, and real-time data. This data may be high volume, highly diverse, and disparate in nature. As part of this effort, organizations are moving to cloud data platforms to store and manage this modern data.

Webinar Recording: Powering Modern Applications: Data Management for Speed and Scale

Designed to be fast, scalable, flexible, and user-friendly, modern applications are at the center of the innovation and automation that is transforming companies, industries, and society today. At the same time, modern applications, increasingly built with microservices, also come with requirements that traditional data management approaches fall far short of effectively meeting.

Partnering with AWS on Amazon HealthLake to Speed Insights

Gaps in patient healthcare, ranging from access and affordability, to those specific to race, gender, age and beyond, are widening across the US and leading to a variety of detrimental results for people, the healthcare system, and the economy itself. Such ongoing disparities are slowing the country’s ability to achieve population health and accounting for billions of dollars in unnecessary health care spending annually.

Leverage or liability - transforming data chaos into data excellence with Waterstone Mortgage

Data is a double-edged sword. It has tremendous potential, but if mismanaged or misused, can wreak havoc on the operations, costs, revenue, and reputation of an organization. In highly regulated industries, data can be an even bigger liability. Learn how Julia Fryk, Data Architect and Engineer at Waterstone Mortgage, championed superior data management, taking the company from data chaos to data excellence. The transformation from data that could not be trusted to high-quality assets that data consumers have confidence in has made a remarkable difference and extracted more value from data.

Snowflake's Retail Data Cloud

The retail and consumer packaged goods (CPG) industry is experiencing a global shift in how consumers, retailers, and brands interact. Long-term trends such as digitization and e-commerce, higher customer expectations, and supply chain transformation are accelerating. Businesses with a strong data foundation are rapidly adapting, and launching new digital capabilities and services.

Transformational triumph: eBay's data fabric modernization

In today’s economy, every business is eager to accelerate beyond and above the competition. Critical to this effort is the data your business runs successfully on, its backbone, and a good team behind the magic. Join eBay, the world's leading online marketplace, to hear how they accelerated their operational data with impressive results. Not only did the company experience no downtime, but they reduced data volumes by a whopping 50% — resulting in less friction, smoother operations, and a team built to enable success and scale.

Protect Your Assets and Your Reputation in the Cloud

A recent headline in Wired magazine read “Uber Hack’s Devastation Is Just Starting to Reveal Itself.” There is no corporation that wants that headline and the reputational damage and financial loss it may cause. In the case of Uber it was a relatively simple attack using an approach called Multi Factor Authentication (MFA) fatigue. This is when an attacker takes advantage of authentication systems that require account owners to approve a log in.