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Facebook's HBase Backups - StampedeCon 2012
The document provides an overview of HBase and its backup solutions, highlighting the importance of backups for data integrity and recovery. It discusses various backup strategies at Facebook, comparing their pros and cons while describing the technical architecture of HBase and HDFS. Additionally, it offers insights into performance results and future work regarding backup optimization.
HBase Sizing Notes
Jul 6, 201240 likes9,057 viewsAI-enhanced description The document discusses several key factors for optimizing HBase performance including: 1. Reads and writes compete for disk, network, and thread resources so they can cause bottlenecks. 2. Memory allocation needs to balance space for memstores, block caching, and Java heap usage. 3. The write-ahead log can be a major bottleneck and increasing i
目指せHadoopエンジニア-管理者・DBエンジニア編-
Hadoopの管理者に求められるもの 前編で紹介したように、Hadoopでは一台から数千台規模のクラスタを構築することが可能であり、必要に応じてスケールアウトさせることができます。Hadoopは非常に強力ですが、管理するのはそれほど簡単ではありません。言い換えると、正しい知識を持たずに運用すると、大きなトラブルが生じる可能性があると言うことです。 少し脚色していますが実際のトラブルの例をご紹介しましょう。 【トラブルの例】 前編で紹介したHadoopの分散ファイルシステムであるHDFS(Hadoop Distributed File System)には、分散したデータの配置情報（データがどのマシンに記録されているのかを表す管理情報：以降メタ情報と呼びます）などを管理するノード（ネームノード）と、実際に分散されたデータを管理するノード（データノード）群とがあります。前者のメタ情報は非常に重要
Cloudera Blog
We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Background The generative AI landscape is evolving […] Read blog post
Blog | Cloudera
ClouderaNOW Learn about the latest innovations in data, analytics, and AI Watch now
Apache HBase Write Path | Blog | Cloudera
Apache HBase is the Hadoop database, and is based on the Hadoop Distributed File System (HDFS). HBase makes it possible to randomly access and update data stored in HDFS, but files in HDFS can only be appended to and are immutable after they are created. So you may ask, how does HBase provide low-latency reads and writes? In this blog post, we explain this by describing the write path of HBase —
Titan: Distributed Graph Database
Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. In addition, Titan provides the following features: Elastic and linear scalability for a growin
Blog | Cloudera
ClouderaNOW Learn about the latest innovations in data, analytics, and AI Watch now
Blog | Cloudera
ClouderaNOW Learn about the latest innovations in data, analytics, and AI Watch now
HBase and Accumulo | Washington DC Hadoop User Group
The document presents a comparison of HBase and Accumulo, both open-source implementations of Google's Bigtable infrastructure, highlighting their scalable storage capabilities, data model, and features. Key differences discussed include access control mechanisms, authentication, locality groups management, and extensibility frameworks, with both systems showing strengths in different areas. The c
GitHub - hbase-sculptor/sculptor
Sculptor is a framework and command line interface that makes using Apache HBase much easier. == Features == - Human friendly output - Interactive command line interface - Run ad-hoc MapReduce over HBase - Customized client framework Please see the doc at the wiki page. == Pre-requirements == - Apache Ivy is required to build Sculptor - Apache HBase installed - Hadoop MapReduce (Sculptor MapReduce
Replication for HA and DR
Disaster Recovery (DR) is an essential part of any storage solution. There are many aspects of this: local backups, remote backups, and cross data center replication. I will tackle backups in another blog post, here I will write about replication. Since I prefer to use built-in features rather than rolling our own internal add-ons, over the past few months I have added various features to HBase th
Apache HBase® Reference Guide
This is the official reference guide for the HBase version it ships with. Herein you will find either the definitive documentation on an HBase topic as of its standing when the referenced HBase version shipped, or it will point to the location in Javadoc or JIRA where the pertinent information can be found. This reference guide is a work in progress. The source for this guide can be found in the _
Hadoop World 2011: Advanced HBase Schema Design
The document provides a comprehensive overview of advanced HBase schema design, highlighting its architecture, the importance of schema design, and key considerations for optimizing performance. It discusses topics such as data sharding, column families, key cardinality, and effective key design strategies. Additionally, it covers practical examples and insights into the implementation of HBase fo
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Blog | Cloudera
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HBase at Ameba
GitHub - intel-hadoop/project-panthera: Project Panthera is our open source efforts to enable efficient support of standard SQL features for advacned analytics on Hadoop
GitHub - oclc/HBase-Backup: Utility to backup and restore HBase tables
