articles distribution-and-partitioning-in-graph-databases 
The Citus Data
MAY 12, 2023
If you have ever used a database like Postgres, you know how important optimization is. Some minor changes in how the database is setup make all the difference between long waiting times and satisfied customers. And one crucial thing you need before doing the optimization is to monitor and understand how your database is being used.
Altexsoft
JULY 18, 2023
This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. To some, the word Apache may bring images of Native American tribes celebrated for their tenacity and adaptability.
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Confluent
APRIL 30, 2019
We will wrap up this article with some operational guidelines on how to turn on topology optimizations when upgrading your Streams application to Kafka 2.1 Both of them will construct the application’s computational logic as a processor topology , which is represented as a graph of stream processor nodes that are connected by stream edges.
Altexsoft
JUNE 7, 2021
This article gives you all the answers — one by one. Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. What is Hadoop.
Confluent
MAY 29, 2019
In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. Now in part 2, we’ll discuss the challenges we faced developing, building, and deploying the KSQL portion of our application and how we used Gradle to address them. Introduction.
Altexsoft
JUNE 20, 2019
Which database will you choose? Database Management System or DBMS is a software which communicates with the database itself, applications, and user interfaces to obtain and parse data. Also, DBMS comprises the key instruments to govern the database. They differ in terms of data retrieval, distribution, and processing.
Ruminations of a Programmer
NOVEMBER 1, 2009
Irrespective of how we process data in our application we have traditionally stored them as rows and columns in a relational database. When we talk about really big write scaling applications, relational databases suck big time. When we talk about really big write scaling applications, relational databases suck big time.
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