Starting today, we’re offering $1,000 in IBM Cloud credit that you can use towards IBM Db2 Warehouse on Cloud.

With IBM Db2 Warehouse on Cloud, you can run high-performance analytics on your data to get a crystal-clear view of your business, while saving operational costs with a hands-free, fully managed, secure service.

Scalable and cost-effective

  • Control resource consumption and manage costs by scaling compute and storage.
  • Breeze through highly concurrent workloads with built-in workload management technology.

Reliable and highly available

  • Run your business without interruption. Our cloud data warehouse service features multiple layers of resiliency and fault tolerance.
  • We provide geo-replicated disaster recovery backups for no charge.
  • We stand by our promise to deliver a reliable service. All Db2 Warehouse on Cloud instances come with a 99.9% uptime SLA.

Automated, hands-free service

  • Focus on getting the most out of your data. Day-to-day operations for Db2 Warehouse on Cloud, including database monitoring, uptime checks, and infrastructure updates, are fully automated. We encrypt data at rest and in motion by default.

Get started

With the $1,000 credit, you’ll be able to leverage all the features above, as well as a range of other features, including in-database machine learning, geospatial analytics, JSON support, and query federation.

Interested in taking us up on this offer? Follow the steps below:

  1. Create an IBM Cloud account.
  2. Go to the Db2 Warehouse catalog page and select Flex One. Upgrade your account if necessary.
  3. Apply the promo code DB2W1K.
  4. Click Create.

 

Categories

More from Analytics

Data science vs data analytics: Unpacking the differences

5 min read - Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to…

Financial planning & budgeting: Navigating the Budgeting Paradox

5 min read - Budgeting, an essential pillar of financial planning for organizations, often presents a unique dilemma known as the “Budgeting Paradox.” Ideally, a budget should give the most accurate and timely idea of anticipated revenues and expenses. However, the traditional budgeting process, in its pursuit of precision and consensus, can take several months. By the time the budget is finalized and approved, it might already be outdated.In today's rapid pace of change and unpredictability, the conventional budgeting process is coming under scrutiny.It's…

How Macmillan Publishers authored success using IBM Cognos Analytics

5 min read - Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. If you're a reader, chances are good you've read a book from Macmillan. They published many perennial favorites including Kristin Hannah’s The Nightingale, Bill Martin’s Brown Bear, Brown Bear, what do you see? and some of the more recent bestsellers such as The Silent Patient by Alex Michaelides, Identity by Nora Roberts and Razorblade Tears by S. A. Cosby. It’s no wonder then that Macmillan…

MLOps and the evolution of data science

7 min read - The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. The information can deepen our understanding of how our world works—and help create better and “smarter” products. Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven…