In the cloud data platform environment, Snowflake has carved out its place as a scalable, flexible, and efficient solution. At the heart of its offering is an ecosystem designed to meet the diverse needs of modern businesses. This includes everything ranging from data storage and analysis to complex data science projects. Snowflake simplifies these data operations and provides a robust foundation for innovation and growth.

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security.

Over the past couple of years, ThoughtSpot and Google have collaborated on a series of seamless user experiences—enabling deployments on Google Cloud Platform, creating the ability to live query entire Google BigQuery analytics catalogs, and integrating key Looker Modeling functionality just to name a few. This type of co-innovation helps mutual customers get the most value out of their data.

Fivetran and Google Cloud synergize incredibly well, bringing generative AI to your fingertips.

Hitachi Vantara ensures 100% data availability for operational resilience and compliance Cybersecurity and the need for data resilience are at an inflection point. Data is growing rapidly. By 2025, 180 zettabytes of data will exist globally, Statista reports. Enterprise data is everywhere – on factory floors, on streets and highways, by point-of-sale terminals, and just about anywhere and by any other connected device that you can think of.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! In our previous blog, we went through how to create big number and vertical column charts in Yellowfin, as well as how to add a 'back-to-top button to your dashboard. We categorized the charts to be displayed on the dashboard by aggregation axis, and created charts that aggregate on the axis of Year.

Data engineers play a crucial role in leveraging the immense potential of SAP data to drive smarter decisions and foster innovation. However, integrating and analyzing this valuable information can be complex and time-consuming. But it doesn’t need to be. In this blog post, we will explore how Qlik Cloud Data Integration and Databricks together make it much easier to harness the power of SAP data and blend that data in Databricks, in a cost-effective manner.