Learn how to build fault tolerant applications using the Azure Cosmos DB Cassandra API with a custom retry policy for 429 errors. Azure Cosmos DB is a resource governed system that allows you to execute a certain number of operations per second based on the…

How to Fix Cassandra Consistency Issues using Read Repair. Why Consistency Issues or C in CAP theorem. As many of you probably know, Cassandra is an AP big data storage.

In Apache Spark/PySpark we use abstractions and the actual processing is done only when we want to materialize the result of the operation. To connect to different databases and file systems we use mostly ready-made libraries.

Running systems in production involve requirements for high availability, resilience and recovery from failure. When running cloud-native applications this becomes even more critical, as the base assumption in such environments is that compute nodes will suffer outages, Kubernetes nodes will go down and microservices instances are likely to fail, yet the service is expected to remain up and running.

NoSQL databases use a variety of data models for accessing and managing data. These types of databases are optimized specifically for applications that require large data volume, low latency, and flexible data models, which are achieved by relaxing some of the data consistency restrictions of other databases.

Learn how to build fault tolerant applications using the Azure Cosmos DB Cassandra API with a custom retry policy for 429 errors.

Use Retry Policies to handle rate-limiting errors in your Go apps. In this post, we’ll go through : Initial setup and configuration before running the sample application. Execution of various load test scenarios and analyze the results. A quick overview of the Retry Policy implementation.

The purpose of this article is to cover the steps to use this type of database within a corporate architecture.

Fundamentals you should know before designing your first Cassandra data models to get blazing fast I/O performance.

Companies are trying hard to succeed at building large-scale, distributed systems-based scalable databases. Let’s talk about one of the most powerful databases, Amazon DynamoDB and how it compares with the best of breed open-source database Apache Cassandra. In this article, we will compare two database systems and help with pointers that one should keep in…

Design your Cassandra schema with the correct keys for blazing fast reads and writes. There are multiple types of keys in Cassandra. Namely: Primary Key, Partitioning Key ,Clustering Key

Imagine — You’re in a system design interview and need to pick a database to store, let’s say, order-related data in an e-commerce system. Your data is structured and needs to be consistent, but your query pattern doesn’t match with a standard relational DB’s.

We all started learning about Database with a formal definition, right! “ A database is a collection of data that is organized so that it can easily facilitate the storage, retrieval, modification, and deletion of data in conjunction with various data-processing operations.”

Hi Folks!! In this blog, we are going to learn how we can integrate Spark Structured Streaming with Kafka and Cassandra to build a simple data pipeline.

Apache Cassandra is a specific database that scales linearly. This has its price: specific table modelling, configurable consistency and limited analytics. Apple performs millions of operations per second on over 160,000 Cassandra instances while collecting over 100 PBs of data. You can bypass these limited analytics with the Apache Spark and the DataStax connector, and that’s what the story is about.

In this video, You will learn how to integrate Spring Data with Cassandra Database and create CRUD operations and dockerize this application.

Cassandra is a free distributed storage system developed for handling an enormous amount of data spread out across many nodes in a cluster.

This report is to measure the performance of DataStax Enterprise v6 (Cassandra) for two workloads in terms of latency and throughput.

This article explains how to install Apache Cassandra on CentOS 8. Apache Cassandra is a free and open-source NoSQL database with no single point of failure.

Our experience withing changing the K8s operator for Cassandra. For about the last six months, we have been successfully using the Rook operator to operate the Cassandra cluster in Kubernetes.