From 70968d091177070b41c83523f0412864f3e08ca1 Mon Sep 17 00:00:00 2001 From: Worms David Date: Mon, 27 Jan 2025 00:39:20 +0100 Subject: [PATCH] fix(pages): line break in learn (#132) --- content/pages/2.learn/index.en.md | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/content/pages/2.learn/index.en.md b/content/pages/2.learn/index.en.md index 772d28f6..0a1eb4c9 100644 --- a/content/pages/2.learn/index.en.md +++ b/content/pages/2.learn/index.en.md @@ -1,4 +1,3 @@ - # Learn This section guide you through the process of deploying and operating an Hadoop-based Big Data platform with TDP. Whether you're a beginner or have some experience with big data technologies, this section provide you with the knowledge and tools to set up your own scalable and powerful data processing infrastructure. @@ -10,7 +9,6 @@ TDP is an open-source platform designed to store and process large volumes of da Throughout those pages, we cover many interesting topics, including: - Understanding the components of TDP, including the Hadoop Distributed File System (HDFS) for storage, YARN for scheduling, Ranger for fine-grained authorisation and Knox for perimeter security. -- Setting up a TDP cluster by installing and configuring the necessary software components. -Configuring data replication and fault tolerance mechanisms to ensure high availability and reliability of your data. +- Setting up a TDP cluster by installing and configuring the necessary software components. Configuring data replication and fault tolerance mechanisms to ensure high availability and reliability of your data. - Exploring the ecosystem of tools and frameworks that complement Hadoop, such as Apache Spark for fast data processing and Apache Kafka for real-time streaming data. - Learning best practices for managing and monitoring your TDP cluster, including the REST API and cluster management tools like TDP CLI and TDP UI.