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Migrating to Snowflake from Azure SQL: 5 Keys to Success

Migrating to Snowflake from Azure SQL

With the explosion in data and analytics demand, organizations are reaching the limits of their existing data platforms. Even cloud-based platforms like Azure SQL, while an improvement over on-premises technologies, are unable to provide the scalability, performance, and elasticity needed to enable a modern analytics capability. To meet this challenge, data leaders are migrating to […]

5 Benefits of Building Data Pipelines with Snowpark

5 Benefits of Building Data Pipelines with Snowpark

Having access to reliable, up-to-date data is critical for all analytics and data science workloads. Data pipelines are an essential piece of this process, moving and transforming data in order to enable this access to reliable and clean data. Taking your data pipeline architecture to the next level with Snowpark  There are many different methods […]

6 Misconceptions about Modern Data Architecture: How Snowflake and Salesforce Work Together

6 Misconceptions about Modern Data Architecture How Snowflake and Salesforce Work Together

Salesforce customers generally choose the leading CRM platform because it streamlines their sales, marketing, and customer service processes with data analytics and insights. But to further enhance the capabilities of Salesforce (and specifically their Salesforce data), many Salesforce customers are also starting to leverage Snowflake Data Cloud as they move toward a more modern data […]

How to Get Started in Data Science and AI with Snowflake’s Snowpark

How to Get Started in Data Science and AI with Snowflake’s Snowpark

Is your business fully harnessing the power that AI has to offer? Whether it be using predictive machine learning tools to acquire new customers or retain existing ones, or leveraging generative AI capabilities to increase the productivity of your workforce, use cases — and the potential for your data science strategy — are virtually endless. […]

Whitepaper: Data Agility Unlocked: The Data Strategy You Need to Succeed

data agility whitepaper

WHITEPAPER Data Agility Unlocked: The Data Strategy You Need to Succeed Businesses have started to streamline data operations and replace legacy on-premise data lakes and warehouses with systems like Snowflake, a Data Cloud that doesn’t require years of planning to scale. But in order to take advantage of this progress, the concept of data agility […]

Data Lake vs Data Warehouse: What’s the Difference?

Data Lake vs Data Warehouse, What’s the Difference

Do you ever wonder where your information is stored when you log into any of your online accounts? What about when you take a picture and back it up on the cloud, where does it go and how is it stored? There’s a whole science around data storage, and you may have heard the terms […]

Good News: We Specialize in Data Engineering So You Don’t Have To

Good News We Specialize in Data Engineering So You Don't Have To

Businesses today, both large and small, are making significant investments in replacing manual, paper-based processes and legacy IT to modern, real-time, data-driven systems that are easily integrated. The initial driver for this shift, commonly referred to as “digital transformation,” was the replacement of paper-based processes with digital ones. Now, many firms have moved beyond “lifting […]

How to Keep Data Debt From Reducing the Value of a Data-Driven Organization

How to Keep Data Debt From Reducing the Value of a Data-driven Organization

In 2017, the Economist published a report titled “The world’s most valuable resource is no longer oil, but data.”  This led many experts within industry to call for companies to become “data-driven organizations”. A data-driven organization is a company that not only focuses on collecting raw data, but also understands that to be truly data-driven, […]

Why Modernize Your Organizational Structure for Modern Data Infrastructure Now

In a previous blog post, I talked about the importance of data agility in an organization. As mentioned in that post, data agility is defined by TDWI as: “how fast can you extract value from your mountains of data and how quickly can you translate that information into action?”  For business, the translation is about […]