Resource Categories: EBook

As businesses become cloud-based, new complexity arises. Namely, business continuity and continuous global operations rely even more on cloud dependability. What can be done to keep up with those high stakes before disaster strikes?

Explore a 5-step process to help leaders ensure they have the cross-cloud continuity capabilities they need to thrive in spite of unforeseen outages. Download the complementary copy to learn how to:

• Architect potential types of risk

• Plan the best response

• Govern responsibilities

• Budget accordingly

• Think dual purpose

In search of better, more accurate data and data analytics, a growing number of organizations today are embracing DataOps to improve and formalize their data management practices.

In this ebook, data engineers and data analysts will learn how to apply Agile principles to data ingestion, data modeling, and data transformation, enabling their teams to uphold rigorous governance, auditability, and maintainability, yet still push updates to production in a short amount of time.

You will learn how to:

• Apply the principles of continuous integration (CI) and continuous development (CD) to data
• Simplify the development/testing/production cycle for creating data models, managing metadata, and enforcing governance
• Integrate different commercial and open source tools into the process used to create data pipelines, and more.

A shift is coming to how B2B SaaS applications are built—a shift toward connected applications, where the application’s data processing happens on the customer’s cloud data infrastructures. For SaaS providers, this offers a chance to improve margins and open new business opportunities. For customers, it allows them to avoid data silos and remain in control of their data.

In this ebook you’ll explore the basics of connected applications, including why both SaaS providers and customers love them. You’ll also learn how these apps work, how they complement traditional managed applications, and which factors to consider when deciding whether a connected app or managed app model is the best fit for your application goals.

Data lakes offer great promise, but unlocking their value requires a smart migration strategy. Before diving into a data lake migration, it’s crucial for business and technology leaders to ask the right questions up front and make the appropriate preparations. Given the importance and sensitivity of such an endeavor, it’s also vital to partner with the right experts.

In this ebook, we outline seven parameters you and your company should consider when approaching a data lake migration—including some less-obvious criteria to add to your checklist.

Self-service data is a business imperative. When employees across an organization can easily access, integration, and analyze data, they can deliver reports, perform more advanced analytics, and build innovative data applications. That opens the door to jump on new opportunities and create new revenue streams.

The key to self-service data is effectively offering and managing access to data across different sources with appropriate governance and high performance. But how do you make that happen when data is in multiple silos and every team has different needs?

In this ebook, you’ll learn how Snowflake can help you unlock the full value of your data by addressing five common self-service data challenges:

• Delays in time to value from too many compute engines

• Allowing domain teams to work with their preferred tools

• Discovering and accessing data locked up in silos

• Governing data across clouds

• Managing users and costs

A Guide to Using Hightouch to Connect Data Across Marketing Channels

There is no short supply of customer data marketers can use to inform their programs—pages viewed, shopping cart abandonment, LTV, and more—but how do marketing orgs move from seeing these insights in a dashboard to activating insights across various multi-channel marketing campaigns?

The Snowflake Data Cloud is the single source of truth for your organization. Hightouch can sync data directly from Snowflake and send it to over 80 destinations, including Braze. Braze then enables marketers to engage customers across multiple channels and in real time, using an intuitive drag-and-drop interface.

In the ebook, you’ll learn:

• Why pairing Snowflake, Hightouch, and Braze together benefits marketing teams

• The benefits joint customer Compare Club saw by using these solutions to power its marketing personalization

• How to start sending data from Snowflake to Braze using Hightouch

Self-service data is a business imperative. When employees across an organization can easily access, integration, and analyze data, they can deliver reports, perform more advanced analytics, and build innovative data applications. That opens the door to jump on new opportunities and create new revenue streams.

The key to self-service data is effectively offering and managing access to data across different sources with appropriate governance and high performance. But how do you make that happen when data is in multiple silos and every team has different needs?

In this ebook, you’ll learn how Snowflake can help you unlock the full value of your data by addressing five common self-service data challenges:

• Delays in time to value from too many compute engines

• Allowing domain teams to work with their preferred tools

• Discovering and accessing data locked up in silos

• Governing data across clouds

• Managing users and costs

The pace of change in the retail, ecommerce, and consumer packaged goods (CPG) industries continues to accelerate. Customer demands around personalization, speed, and cost are increasing. Companies must implement new technologies as consumers embrace omnichannel shopping. The industry is searching for new ways to market to consumers as the media and advertising landscape transforms. And the ongoing impact of the COVID-19 pandemic and its economic fallout is affecting everything from hiring to supply chains.

Retail pioneers are adopting the cloud to maximize their data. In doing so, they are personalizing customer experiences, optimizing fulfillment and inventory management, and making smarter, data-driven merchandising decisions.

This ebook explores ten industry-specific use cases for the Snowflake Data Cloud and highlights some of the innovative and exciting ways our retail, ecommerce, and CPG customers are already unlocking the value of data to forge ahead in an era of uncertainty.

Data science has evolved dramatically over the last 10 years. However, very few organizations have experienced the full business impact or competitive advantage from their advanced analytics initiatives despite significant investments in data science and machine learning (ML).

In 2022, six emerging trends have the potential to accelerate ML projects and move organizations from descriptive toward predictive and prescriptive analytics.

In this ebook, you will learn how:

• Multi-programming language support and easy-to-use ML tools can overcome the BI and AI divide
• Advances in data sharing for various data types, including unstructured data, can accelerate your workflow 
• Feature stores enable data scientists to manage and deploy ML features at scale 
• New distributed training frameworks offer an alternative superior to Spark while delivering up to 2,000x faster performance

Download our ebook to learn more.