The data landscape is constantly evolving, and with it come new challenges and opportunities for data teams. While generative AI and large language models (LLMs) seem to be all everyone is talking about, they are just the latest manifestation of a trend that has been evolving over the past several years: organizations tapping into petabyte-scale data volumes and running increasingly massive data pipelines to deliver ever more data analytics projects and AI/ML models.

New Functionality Delivers FinOps, AI-driven Cloud Cost Management and Performance Optimization for BigQuery Users.

Google recently introduced significant changes to its existing BigQuery pricing models, affecting both compute and storage. They announced the end of sale for flat-rate and flex slots for all BigQuery customers not currently in a contract. Google announced an increase to the price of on-demand analysis by 25% across all regions, starting on July 5, 2023.

Data is a powerful force that can generate business value with immense potential for businesses and organizations across industries. Leveraging data and analytics has become a critical factor for successful digital transformation that can accelerate revenue growth and AI innovation.

What sets successful organizations apart from others today? They extract value from their data, turning it into an asset that helps drive the business forward. To get to that point, an organization — of any size — needs real-time, consistent, connected, and trusted data to support critical business operations and insights. However, many stumbling blocks can cause organizations to fail when executing their data strategy.

Learn how new SQL functions for BigQuery JSON give you more capabilities in dealing with JSON data.

Supply chain disruption continues to affect retailers, consumer packaged goods companies (CPGs), and customers. Constraints on the ability to produce goods have limited the availability of in-demand products, leading to inflation. Not only are manufacturers not making enough products in line with demand in industries such as automotive and electronics, at the same time, those products have become much more expensive.

In this blog, the team at Yellowfin Japan demonstrates how to take advantage of Yellowfin's data visualization capability in the form of Yellowfin Candlestick charts, also called keystrokes, specialized for analyzing price movements of stocks and bonds. We will utilize these charts to analyze price movements of stocks. So, what is a Candlestick Chart, and what does it look like in Yellowfin? Blog Contents hide Candlestick Chart Overview and Analysis Examples What is a Candlestick?