With the rapid developmentInternet of Things(IoT) in recent years, there has been an explosion in time series data. Based on the growth trends of database types in DB-Engines over the past two years,

May 19, 2019· 16 min readIn this post, I am going to talk about Apache Cassandra, its purpose, usage, configuration, and setting up a cluster and in the end, how can you access it in your Python appli

Cassandra is an excellent fit for time series data, and it's widely used for storing many types of data that follow the time series pattern: performance metrics, fleet tracking, sensor data, logs, fin

Earth to Mars distance = 0.52 AU (1.52-1AU, 78M km)Earth to Jupiter distance = 4.2 AU (5.2-1AU, 628M km)It’s a long way to Jupiter, would you like to:(a) sleep the whole way in suspended animation?  (

Thisseries of postspresent an introduction to Apache Cassandra. It discusses key Cassandra features, its core concepts, how it works under the hood, how it is different from other data stores, data mo

Thisseries of postspresent an introduction to Apache Cassandra. It discusses key Cassandra features, its core concepts, how it works under the hood, how it is different from other data stores, data mo

Scaling Time Series Data Storage — Part IbyKetan Duvedi,Jinhua Li,Dhruv Garg,Philip Fisher-OgdenIntroductionThe growth of internet connected devices has led to a vast amount of easily accessible time

Leaderboard @Dream11Scale to serve 100+ million reads/writes using Spark and CassandraByBharat Vishwakarma,Amit Mirchandani,Amit SharmaDream11 — Leading the Pack in Fantasy SportsDream11 is India’s #1