Systems | Development | Analytics | API | Testing

Learn how to build a marketing plan that aligns with your company’s goals, and helps ensure you hit your marketing targets. We’ll cover everything from working with sales and other teams, to identifying the “levers” you need to pull to have the best chance of hitting your target.

ChaosSearch brings key capabilities like full tech search to data bricks enabling log and event analytics for observable and security use cases natively in the data lakehouse to deploy chaos search in your data bricks workspace. Check out our 2 minute demo of ChaosSearch running on Databricks.

ChaosSearch + Databricks Deliver on the best of Databricks (open Spark-based data lakehouse) and ELK (efficient search, flexible live ingestion, API/UI) via ChaosSearch on Databricks. Log analytics for observability / security with unlimited retention at a fraction of the cost now with Databricks’ AI/ML. Watch as ChaosSearch CEO, Ed Walsh, shares the power of ChaosSearch in your Databricks environment.

This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using an open-source Kafka connector. The integration allows you to avoid maintaining custom code, and gives you the ability to automatically discover and adapt to changes in DynamoDB tables. All details are provided.

Apache Flink SQL has a lot in common with SQL databases, but in several fundamental ways it’s actually quite different. Learn how Apache Flink has adapted concepts like queries, materialized views, catalogs, and ACID guarantees from SQL databases to fit into the world of stream processing.

we'll show you how to authenticate and authorize your APIs on top of Kong with Okta using an OpenID Connect plugin.

In this video, we breakdown the analytics you can create from the provided Coordinate SHAP data when used within Qlik AutoML. SHAP data helps determine the WHY behind the machine learning model predictions. Learn how SHAP values break down the influence of individual features on specific outcomes, helping you gain deeper insights into model behavior. This is part 5 of the Qlik AutoML series, focusing on making machine learning more interpretable for users.

Integrating Anthropic's Claude models into BigQuery opens new doors for advanced analytics and insights. From security enhancements to content localization, the possibilities are vast. Learn how in this quick tutorial. Speaker: Billy Jacobson Products Mentioned: Cloud - Data Analytics - BigQuery.

This demo recorded during our MLOps Live Webinar #32 showcases a customer-facing AI agent developed for a jewelry retailer. This can be used as a marketing tool to offer personalized product recommendations and purchasing information and support.