Systems | Development | Analytics | API | Testing

July 2020

How Data Exchanges Enable Secure Data Collaboration

In a global economy, real-time data analysis is closely related to business success. Without data-driven insights, organizations find it challenging to remain competitive, improve company performance, and deliver strong user experiences, regardless of their industry. To match the pace of business, companies require transparent, data-driven relationships.

Snowflake Helps Finnair Improve Customer Experience with Cloud Data Analytics

Coronavirus has impacted the travel industry, but as it adapts, there is one factor airlines have always worked hard to minimize: delayed flights. Arriving late or missing a connection can severely impact the customer experience, which is why airlines work hard to maintain high rates of on-time performance (OTP). To that end, pilots may have to use extra fuel to make up for a delayed departure or to reach a destination early, even if it means circling the airport before landing.

How to Move from Basic to Advanced Marketing Analytics in Four Steps

Advanced marketing analytics can improve campaign relevance, increase customer lifetime value, accelerate insights, reduce acquisition costs, and drive ROI. But moving to advanced analytics requires a thoughtful investment in the right infrastructure for storing, tracking, and analyzing customer data, which can be daunting to companies that only have basic analytics capabilities.

Data Modeling in a Post-COVID-19 World

As a result of the COVID-19 pandemic, organizations around the world have had to transform overnight. Businesses that had been delaying digital transformation, or that hadn’t been thinking about it at all, have suddenly realized that moving their data analytics to the cloud is the key to coping with and surviving the COVID-19 disruption. The next phase is about rebounding and thriving in a post-COVID-19 world.

Snowflake Enables Modern Cloud Data Analytics at US Foods

Approximately 300,000 restaurants and food service operators across the United States rely on US Foods as their national distributor for food and supplies. In return, US Foods takes a holistic approach to servicing customers by going beyond food offerings. The distributor provides a comprehensive suite of e-commerce technology and business solutions that help restaurants manage their entire business.

Snowflake Service Account Security, Part 3

In Part 1 and Part 2 of this blog post series, Snowflake Service Account Security, discussed service accounts threats and how to mitigate those threats with Snowflake features. Part 3 demonstrates how to manage credential rotation with a sample Hashicorp Vault plugin. You can use many platforms to achieve similar results. The important thing is to understand the patterns used to apply these controls to protect your service accounts.

Agile Insights During COVID-19 with ThoughtSpot, Snowflake, and Starschema

The COVID-19 pandemic is forcing every business to see the world differently. From examining business continuity plans, modernizing workforce plans, or building supply chain resiliency, no facet of business has gone untouched. As organizations combat the economic fallout now and in the coming years, agility has never been more important. The key to remaining agile is a better use of data.

5 Challenges of Simplifying DevOps for Data Apps

The benefits of building a DevOps culture for software companies are clear. DevOps practices integrate once-siloed teams across the software development lifecycle, from Dev to QA to Ops, resulting in both faster innovation and improved product quality. As a result, most software development teams have deployed tools to enable DevOps practices across their workflow.

A Cloud Data Platform for Data Science

Data scientists require massive amounts of data to build and train machine learning models. In the age of AI, fast and accurate access to data has become an important competitive differentiator, yet data management is commonly recognized as the most time-consuming aspect of the process. This white paper will help you identify the data requirements driving today's data science and ML initiatives and explain how you can satisfy those requirements with a cloud data platform that supports industry-leading tools.

5 Strategies to Improve Secure Data Collaboration

Many organizations struggle to share data internally across departments and externally with partners, vendors, suppliers, and customers. They use manual methods such as emailing spreadsheets or executing batch processes that require extracting, copying, moving, and reloading data. These methods are notorious for their lack of stability and security, and most importantly, for the fact that by the time data is ready for consumption, it has often become stale.

How Marketers Can Drive ROI from Customer Data Platforms

As first-party customer data continues to explode, companies have struggled to make it actionable for personalization, advanced analytics, and other business purposes. As a result, customer data platforms that consolidate and activate known customer information have emerged to help companies generate ROI from their data. At present, nearly 80% of marketing organizations already have a customer data platform or are developing one.

Snowflake: One Cloud Data Platform for All Your Analytics Needs

DELIVER ALL YOUR DATA WORKLOADS WITH SNOWFLAKE Gartner predicts that 75% of all databases will be deployed or migrated to a cloud platform by 2022. But how does e a cloud data platform enable a long-term strategy for maximizing all of an organization's data assets? Snowflake's cloud data platform is a highly extensible, multi-region and multi-cloud platform that powers all types of data workloads. Specifically, Snowflake: To learn everything Snowflake offers today's, forward-looking organizations, download our white paper, Snowflake: One Cloud Data Platform for All Your Analytic Needs.

10 Ways to Simplify DevOps for Data Apps with Snowflake

Most companies that build software have a strong DevOps culture and a mature tool chain in place to enable it. But for developers that need to embed a data platform into their applications to support data workloads, challenges emerge. DevOps for databases is much more complex than DevOps for code because database contain valuable data, while code is stateless. Instantly creating any number of isolated environments Reducing schema change frequency with variant data type