Welcome 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 MoreAll applications depend on data, yet application developers don’t like to think about databases. Learning the internals and query language of a particular database adds cognitive load, and requires context switching that detracts from productivity. Still, successful applications must be responsive, resilient and scalable — all characteristics that[...]
Read MoreMachine Learning has been influencing the way we build modern applications for several years now. However, the impact to the front-line transactional workflow has been pretty nominal. Real-Time AI is changing that. In this post, we’ll talk through what a modern application architecture looks like and the changes[...]
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