Apache Storm - An Introduction

  Apache Storm is an open-source real-time solution for data stream processing. It accepts huge amount of data coming in extremely fast manner, can be from multiple sources, analyse it, and publish Real Time updates to some data source without storing any actual data. It is highly available for parallel execution, scalable, and fault-tolerant. It is generally used for real-time analytics, machine learning, and unbounded stream processing. Let's try to understand its basic terminology.

Apache Storm Basics

Topology : The logic for a realtime application is packaged into a Storm topology. A Storm topology is analogous to a MapReduce job. A topology is a graph of spouts and bolts that are connected with stream groupings.

Cassandra internal architecture

Apache Cassandra is a NoSQL distributed database which can handle large amounts of data across multiple commodity servers to support highly available system in a distributed environment with no Single point of failure.

In this blog I will try to explain Cassandra basic architecture and working. I will also try to explain why it was designed in such a way and what are few best fit application usage examples.

Master-master vs master-slave database architecture

In this blog we will understand single copy, master-slave and multi-master database architecture. We are going to understand various pros and cons of each architecture with some examples.

Database without Replication (Single Copy)

In this architecture one standalone database server is used for all read and write DB operations from the application.