Organizations today face a myriad of risks that can affect their operations, reputation and bottom line. Prime among them are the existential threats to your data, including infrastructure risks and data risks. Comprehensive data governance solutions enable you to address both your infrastructure and data risk to build a resilient and secure environment that supports your operations and protects your valuable data assets.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In the previous blog, we created a Combination Chart by aggregating on the basis of Year and Month.

Enterprise computing goes through constant cycles of reinvention, often driven by the arrival of an innovation with the potential to change everything. As a service business models and GenAI are both great examples. As anyone in this space can attest, the pace of change can age you quickly. But at the same time, it’s what makes the business so exciting. And dare I say, it’s what keeps everyone in it young. It’s a bit of a conundrum if you think about it.

Businesses face an ever-growing challenge: how to protect and manage their most valuable asset – their data. As organizations scale and digital transformation accelerates, the volume generated daily is staggering. IDC predicts that the global datasphere will grow to 175 zettabytes by 2025, requiring a substantial increase in storage capacity across the industry.

BigQuery vector search, now GA, empowers data and AI use cases such as semantic search, similarity detection, and RAG with an LLM.