Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Is Flink SQL a Database? | Apache Flink SQL
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.
How to source data from AWS DynamoDB to Confluent using the Open-Source Connector
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.
Data AI Summit | Expanding Log Analytics and Threat Hunting Natively in 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.
ChaosSearch + Databricks Demo
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.
Build vs. buy for AI: Choosing the right data foundation
When faced with new innovations like GenAI, every company must avoid pitfalls that result in unscalable and unsustainable solutions.
Crafting a marketing plan to hit your company goals
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.
Streamlining Generative AI Deployment with New Accelerators
The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over.
Atomic Tessellator: Revolutionizing Computational Chemistry with Data Streaming
Computational chemistry relies on large volumes of complex data in order to provide insights into new applications, whether it’s for electric vehicles or new battery development. With the emergence of generative AI (GenAI), the rapid, scalable processing of this data has become possible and critical to investigate previously unexplored areas in catalysis and materials science.
AI Governance, Data Governance, and AI Data Governance: Pillars of AI Success
How are AI governance and data governance related? Better still, what’s more important for an organization to focus on, AI-powered data governance or AI data governance? These are important questions, but before we answer these, let’s understand how AI and data governance are related to each other.