The Journey: OSS Kafka MSK Confluent
Andy Steinmann of MarketAxess walks through how his team learned that “managed” Apache Kafka wasn’t really managed—and why Confluent Cloud was different.
Get Full LinkedIn Ad Performance Data (Beyond LinkedIn's 25-Company Limit)
LinkedIn Ads only show 25 companies in their reporting. But if you’re running demand gen for B2B clients, that’s not enough. In this quick walkthrough, Jason Spooner (Founder, Jars Digital) shows how he uses Databox to get a complete view of LinkedIn ad exposure by company—so you can: See every company engaging with your ads Match ad data to pipeline and revenue Prove marketing’s impact on sales Whether you run paid media for clients or in-house, this tip helps you unlock more insight and drive better decisions.
How to coach sales reps using activity, conversion, and revenue data
Struggling to figure out why your sales reps are underperforming? Zorana, a Sales Manager at Databox, walks through how she built a dashboard that connects activity, conversion, and revenue — all in one view. See how she identifies who needs coaching (and why) Learn how she makes data-backed decisions each week Discover how Databox helps turn sales data into action No more guessing. No more gut feelings. Just clear visibility into what drives performance.
Sensitive Data in Business Analytics: On-Prem Hosting With Analytics That Doesn't Break User Flow
Executives sometimes seem to want two things at once. Fast answers inside operational tools, and strict control over sensitive data in business analytics. The problem is friction. Many security controls add prompts, delays, and blocked screens. Users work around them or develop “muscle memory” where they click a button without fully taking in the meaning of the text they see - or have not consciously seen. If you cast your mind back, does that seem familiar to you?
Data Validation in ETL - 2026 Guide
Data validation is the cornerstone of successful ETL (Extract, Transform, Load) processes, ensuring that information flowing through your data pipeline maintains its integrity and usefulness. When data moves between systems, it can become corrupted, incomplete, or inconsistent—problems that proper validation techniques can prevent.
Introducing BigQuery managed and SQL-native inference for open models
BigQuery now supports managed and SQL-native inference for Hugging Face and Vertex AI Model Garden open models.
How to Automate Data Quality for AI and Analytics with Snowflake and Anomalo
Join Anomalo’s Jonathan Karon to learn how organizations implement automated data quality natively within Snowflake to: Securely govern structured tables and unstructured documents for AI-readiness Leverage Snowflake Native Apps and Snowpark Container Services so data never leaves your environment Detect 80% of data issues automatically without manual rules Standardize quality across all data types so BI tools and AI agents can safely operate and trace decisions.
Confluent Cloud Is Your Life (K)Raft Away From Hosted Apache Kafka
Streaming your data with Apache Kafka, at its core, involves moving data from one point to another in real time, much like a river flows from its source to its destination. However, beneath this seemingly straightforward goal lies significant complexity and hidden costs. The multitude of available deployment options, hosted and managed Kafka services, and design choices make it difficult to navigate the data streaming landscape.
Vibe querying: Write SQL queries faster with Comments to SQL in BigQuery
Comments to SQL in BigQuery is an AI-powered feature that bridges the gap between human language and structured data queries. Read to learn more.
Instant Enterprise Insights With Snowflake Intelligence
Learn how business leaders use Snowflake Intelligence to eliminate operational lag and turn fragmented data into confident decisions at enterprise speed. Snowflake chief revenue officer Mike Gannon shows how a single intelligent agent delivers trusted, multi modal analysis across emails, documents, spreadsheets, images, video, and more. See how Snowflake Intelligence uncovers the why behind critical moments, accelerates revenue and pipeline insight, and keeps every query secure and governed within your existing framework.