Databricks’ 2023 State of Data + AI report highlights the importance of the modern data stack in leveraging AI.

Flexible, affordable large-scale storage is the essential backbone for analytics and machine learning.

Can you put a number to how much bad data is costing your business? This includes everything from marketing losing 21 cents of every advertising dollar due to misinformed business decisions to data engineers wasting more than 3h daily resolving data quality issues. Luckily, you can guarantee high-quality data with 9 simple checks. In this article, we’ll look at.

Achieving seamless alignment between business objectives and IT strategies can be a formidable challenge in today's rapidly evolving business landscape. Yet, without this business-IT alignment, companies can’t fully leverage technology as a driving force for growth and innovation.

When it comes to data, state of the art is an ever-moving target. There’s also a lot of hype around “cutting edge” that isn’t always grounded in reality. At Snowflake, we’re able to see how cutting-edge companies are actually working with data on our platform.

Salesforce dominates nearly 24% of the CRM market in part because the customer-relationship management platform gives users a dashboard that makes it easy for them to store and track customer data. While Salesforce’s dashboard and other tools let users generate reliable reports quickly, businesses can gain even more real-time insights into customer tracking, order fulfillment, and other metrics by adopting no-code/low-code ETL solutions. Later, learn the 10 best Salesforce ETL tools.

In this blog, the team at Yellowfin Japan demonstrates how to take advantage of Yellowfin's data visualization capability in the form of Waterfall Charts, using the example of analyzing a company's cashflow by using this visual diagram. So, what is a Waterfall Chart, and what does it look like in Yellowfin?

How BigQuery’s ML inference engine can be used to run inferences against unstructured data in BigQuery using Vertex AI pre-trained models.