Choosing a data warehousing solution in the cloud

Posted in: Business Insights
Your cloud data warehouse options from Google Cloud Platform, Microsoft Azure and Amazon Web Services

When it comes to big data and analytics, more companies are heading to the cloud. In fact, according to a recent Forbes article 10 Predictions For AI, Big Data, And Analytics in 2018, Forrester predicted that this year 50 percent of enterprises will adopt a cloud-first strategy for their data, big data, and analytics initiatives.

A move to cloud can enable better cost control. But other advantages of cloud include greater flexibility as capacity needs increase and use cases expand. This is particularly true of data warehouses. With the explosion of available data, the ever-growing number of data sources, and an increasing number of users wanting to use data to make better business decisions, the data warehouse is under pressure like never before. This has more organizations looking to the cloud as a flexible alternative.

Download our eBook to find out what you need to know when choosing between Amazon Redshift, Google BigQuery and Microsoft Azure SQL Data Warehouse

One of the attractive things about starting your cloud strategy with a cloud data warehouse is that it’s relatively easy to test the capabilities of cloud on analytics. Because you can easily offload a subset of your data to run analytics, you can quickly test analytics performance, cost per answer and other analytics-related KPIs. So you may be closer to getting analytics answers from the cloud than you think.

New cloud data warehouse options are available that let organizations handle more data, serve both business and technical users, and process both structured and unstructured data. But finding the right one for your organization comes down to a number of factors including the level of expertise within your organization, and your particular use cases.

To help you on your journey toward cloud analytics, Pythian’s big data experts developed an eBook to guide you through the various cloud data warehouse options. Each one provides turnkey data warehouse features, lessening the burden of administration to your organization, while making on-demand capacity scaling easier. It takes a look at offerings from three major vendors: Amazon, Microsoft, and Google.

Download this eBook to learn about:

  • The key features of the major cloud data warehouse offerings from Amazon Redshift, Microsoft Azure SQL Data Warehouse and Google BigQuery
  • The ideal use cases for each of these data warehouse offerings
  • Expert tips to help you successfully evaluate and/or implement each solution
  • The pricing structure for each offering
  • How Pythian helped clients derive value from each of these data warehouse offerings



About the Author

Lynda Partner is a self-professed data addict who understands how transformational data can be for organizations. In her role as EVP of Data and Analytics, Lynda focuses on Pythian’s services that help customers harness the power of data and analytics and holistically manage their data estate.

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