The Hadoop ecosystem comprises various tools and frameworks designed to handle large-scale data processing and analytics. Let's discuss the core components, namely Hadoop, HBase, and Hive, along with other significant tools such as Pig, Sqoop, Flume, Oozie, and Zookeeper.

https://linuxexpert.org/so-you-wanna-do-big-data/

#Hadoop #HBase #Hive #BigData #HadoopEcosystem #HDFS #MapReduce #YARN #Pig #Sqoop #Flume #Oozie #Zookeeper #DataProcessing #DataAnalytics #DataWarehousing #ETL #DataIngestion #Security

So you wanna do Big Data?

Learn about the Hadoop ecosystem and its core components – Hadoop, HBase, Hive, Pig, Sqoop, Flume, Oozie, and Zookeeper – and their use cases.

LINUXexpert

Why did #Pinterest decide to deprecate their #HBase clusters? Want to know why?

➡️ high maintenance
➡️ infrastructure costs
➡️ lack of Hbase experts
➡️ limited product functionalities

Dive into the details on @infoq 👉 https://bit.ly/3RMSOYP

#NoSQL #database

Pinterest Shuts down One of the World's Largest HBase Deployments

The engineering team at Pinterest recently deprecated their HBase clusters due to high maintenance and infrastructure costs, a lack of Hbase experts, and limited product functionalities. Following Pin

InfoQ
@urcadox at least now, it is not stored in #Hbase 🤭

Time to do my #Introduction

My name is Pierre, I'm a senior software engineer living in Brest, France 🇫🇷

My main programming languages are #java and #rust

I have built/operated/contributed to a number of distributed systems such as #HBase, #Kafka, #Pulsar, #ETCD 👨‍💻

I'm now building #serverless #databases on top of #FoundationDB in a european cloud provider called Clever Cloud ☁️

You might also see some #squash screenshots by following me 💪

Feel free to reach out 🤝

Understanding HBase and BigTable - DZone

The hardest part about learning Hbase (the open source implementation of Google's BigTable), is just wrapping your mind around the concept of what it actually...

dzone.com
@liluminus En fait ça dépend de ton besoin. Si ton application nécessite des données pas trop lourdes ou que tu connais déjà les "clés" pour les chercher. Alors le type Document ( #mongodb ) me semble intéressant ;-)
Mais si tes données sont plutôt lourdes. Il vaut mieux prendre une base colonne comme #Cassandra, #HBase ou autres. Si ce sont des fichiers, #Hadoop est intéressant. Si tes données doivent être accessibles rapidement, il faudra prendre une base clé/valeur comme #Redis :-)