5 Best Practices for Data Warehouse Development

Whether your organization is creating a new data warehouse from scratch or re-engineering a legacy warehouse system to take advantage of new capabilities, a handful of guidelines and best practices will help ensure your project’s success. These best practices for data warehouse development will increase the chance that all business stakeholders will derive greater value from the data warehouse you create, as well as lay the groundwork for a data warehouse that can grow and adapt as your business needs change.

In this ebook, we discuss five best practices for data warehouse development, including:

  • Creating a highly effective data model
  • Applying the agile approach to data warehouse development
  • Adopting a data warehouse automation tool, and more

The Little Book of Big Success

Snowflake customers are running queries in seconds; easily enabling access to their cloud data warehouse for all their business users; and are able to load, integrate, and analyze all their structured and semi-structured data. Can your organization’s data warehouse keep up?

We’ve put together an eBook highlighting 10 organizations who have found big success after implementing Snowflake. Learn the stories of their data analytics journeys.

Download this eBook to learn more about:

  • Ten Snowflake customer case studies
  • Data warehouse modernization
  • Accelerating your analytics
  • Snowflake Secure Data Sharing
  • Key benefits customers achieved after implementing Snowflake

3 Ways Data Science is Shaping the Future of Data Warehousing

How machine learning is shaping the future of data warehousing

As technology advances to meet new data demands, it also creates new areas of opportunity for business growth and operational efficiency. Today, for example, some technologies already enable automatic query optimization, while machine learning algorithms help automate a variety of once-manual functions. Advances in technology are even starting to let data warehouses tune themselves. This capability is accelerating the speed at which data warehouses deliver value to businesses.

With the advance of machine learning and availability of near-infinite storage and computing power in the cloud, we’re headed toward an exciting new era: the age of the self-adapting data warehouse.

Download our eBook to learn how the self-adapting data warehouse can enable businesses to:

  • Deliver more value for their business users, faster than ever.
  • Anticipate patterns more accurately and optimize queries.
  • Automate data organization and optimize workloads, and more.

The move to a self-adapting data warehouse represents the next phase in the evolution of data warehousing.

Cloud Data Warehousing for Dummies (3rd Edition)

Get the most out of your data with cloud data warehousing

If you’re considering your first or next data warehouse, this complimentary Dummies guide explains the cloud data warehouse and how it compares to other data platforms.

Highlights include:

  • How to evaluate different cloud data warehouse solutions
  • Architecting a data platform that just works
  • Why consumption based pricing maximizes efficiency
  • Why security and governance matter
  • The benefits of a cross-cloud solution
  • How modern data sharing delivers even deeper insights