Vector search is a powerful way to bring the magic of generative AI to your applications. And if you have the right tools, it’s not necessarily difficult. Here, I’ll show you a simple way to build a NodeJS application with DataStax Astra DB (and vector search) support by[...]
Read MoreTL;DR You can now use a Kubernetes operator to deploy, manage, and horizontally scale an Apache Pulsar cluster. Use the Helm chart to build resource sets, autoscale rules, and Kubernetes pod rack-awareness for your Pulsar components. It’s hard not to agree that Apache Pulsar is an amazingly powerful[...]
Read MoreYou can now use generative AI to create schema mappings for streaming pipelines via the DataStax GPT Schema Translator. This new DataStax Astra Streaming feature frees up developers to focus on the more impactful components of building and maintaining real-time pipelines, instead of wrestling with the difficult and[...]
Read MoreWelcome to the final post in a six-part series on Apache Cassandra®. In our previous post, we discussed three key migration approaches to bring your existing SQL applications over to NoSQL. Now, we’ll look at implementing these data models with a Spring PetClinic app. Let’s recap what we’ve covered so[...]
Read MoreWelcome to Part 5 of a six-part series on Apache Cassandra®. We introduced you to a few powerful Cassandra features in Part 1 and showed you how to model data on NoSQL databases in Part 2. In Part 3 and Part 4, we discussed benchmarking your database and Storage-Attached Indexes. In the next two posts,[...]
Read MoreWelcome to Part 4 of a six-part series on Apache Cassandra®. Here’s what we’ve covered so far: Part 1: Introduction to Apache Cassandra – the “Lamborghini” of the NoSQL World Part 2: Advanced Data Modeling on Apache Cassandra Part 3: A Beginner’s Guide to Benchmarking with NoSQLBench Part 4:[...]
Read MoreThis is Part 3 of a six-part series on Apache Cassandra®. In the last post, we discussed advanced data modeling. Now, we’ll use our open-source benchmarking tool, NoSQLBench, to benchmark and stress test NoSQL databases. Part 1: Introduction to Apache Cassandra – the “Lamborghini” of the NoSQL World Part 2:[...]
Read MoreWelcome to Part 2 of our Apache Cassandra® series. In part 1 you read about the features of the powerful database Cassandra trusted by thousands of global enterprises. In this post, we’ll show you how to build advanced data models on Cassandra so you can use them in successful applications. Cassandra[...]
Read MoreWelcome to the first post in our six-part series on Apache Cassandra®. As an infinitely scalable database, Cassandra is widely regarded as the Lamborghini of the NoSQL database world. Over the six-part series, this is what we’ll cover: Part 1: Introduction to Apache Cassandra – the “Lamborghini” of the[...]
Read MoreIn Part 1 of our series on machine learning with Apache Cassandra®, we discussed the goals and approaches of machine learning, why Cassandra is the perfect tool for executing large datasets, and the tech stack of choice for companies like Uber, Facebook, and Netflix. Both posts in this[...]
Read MoreRecent Posts
- Build a Text and Image Search App with Astra DB Vector Search, NodeJS, Stargate’s New JSON API, and Stargate-Mongoose
- Introducing the Kubernetes Autoscaling for Apache Pulsar Operator and the KAAP Stack
- Introducing DataStax GPT Schema Translator: Streamlining Real-Time Data Pipelines Using Generative AI
- Migrating from SQL to NoSQL with Spring PetClinic and Apache Cassandra
- Three Approaches to Migrate SQL Applications to NoSQL Powerhouse, Apache Cassandra®