Build your own generative AI chatbot directly from BigQuery
Learn to a knowledge base with an AI chatbot frontend to your BigQuery or unstructured Cloud Storage data using RAG and BigQuery ML.
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Modern Software Development For Today's Systems & Applications
Analytics
hDs Chapter 5 - Mastering the Data Journey: Quality, Governance, and Lineage for Informed Decision-Making
In the digital age, data is the lifeblood of organizations, driving strategies, innovation, and decisions. However, harnessing its power requires more than just collecting the data. It demands meticulous management of data quality, governance, and lineage. These pillars form the backbone of informed decision-making, enabling organizations to transform raw data into actionable insights. According to Gartner, poor data quality costs organizations an average of $12.9 million every year.
AWS and Confluent: Meeting the Requirements of Real-Time Operations
As government agencies work to improve both customer experience and operational efficiency, two tools have become critical: cloud services and data. Confluent and Amazon Web Services (AWS) have collaborated to make the move to and management of cloud easier while also enabling data streaming for real-time insights and action. We’ll be at the AWS Public Sector Summit in Washington, DC on June 26-27 to talk about and demo how our solutions work together.
What is API Monitoring? Best Practices to Track API Performance and Metrics
API downtime can cost businesses an average of $140,000 to $540,000 per hour. Maintaining reliable and high-performing APIs has become critical for any digital business’s success, with much at stake. This scenario is where API monitoring steps in. An important part of API management, monitoring API metrics allows organizations to detect issues rapidly and optimize their API performance.
Data Lineage: A Complete Guide
Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques.
Snowflake: Automate tuning for data cloud speed and scale
40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.
Using Asynchronous Events to enrich Fraud Detection | Designing Event-Driven Microservices
In this video, you will see an example of how Tributary bank uses asynchronous events to enrich its domain and protect its fraud detection system from failures.
Confluent launches Build with Confluent, the fastest path for System Integrators to tap into the $60B data streaming market
New SI partner programme helps speed up development of real-time solutions customers demand, from GenAI bots to fraud detection.
Exploring synthetic data generation with BigQuery DataFrames and LLMs
Learn how to use BigQuery DataFrames together with LLMs to generate synthetic data right inside of BigQuery.
Making an AI Investment: How Finance Institutions are Harnessing the Power of AI and Generative AI
Of all of the emerging tech of the last two decades, artificial intelligence (AI) is tipping the hype scale, causing organizations from all industries to rethink their digital transformation initiatives asking where it fits in. In Financial Services, the projected numbers are staggering. According to a recent McKinsey & Co.