Resource Library

Cloudera offers a variety of materials on big data consolidation, storage and processing. The library includes high-level overviews as well as detailed information on Apache Hadoop and the surrounding ecosystem.

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    HBaseCon 2013 | Apache HBase and HDFS - Understanding Filesystem Usage in HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    In this talk from Hortonworks' Enis Soztutar, Enis takes an HDFS-centric look at the filesystem issues in HBase. He dissects the interface between HBase and HDFS, with a focus on the filesystem services that HBase relies on, durability, crash recovery, and performance characteristics of HBase resulting from using HDFS.
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    HBaseCon 2013 | Panel - Apache HBase Futures
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    This panel addresses the new development efforts that are moving the HBase code base into the future — as well as ones on the community’s wish list.
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    HBaseCon 2013 | Panel: Apache HBase Operations (Moderated by Eric Sammer)
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    This panel covers best practices from the operators of world-class HBase deployments. Panelists: Jeremy Carroll, Pinterest Dave Latham, Flurry Alex Levchuk, Facebook Rajiv Chittajallu, Yahoo! Moderator: Eric Sammer, Cloudera
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    HBaseCon 2013 | Compaction Improvements in Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Compactions are a critical aspect of HBase storage design, yet they are frequently a pain point in cluster management, affecting the availability and requiring manual tuning. This talk from Hortonworks' Sergey Shelukhin provides a brief overview of existing HBase compaction algorithm, the problems it encounters in specific data scenarios and in normal operation, as well as improvements recently made to it.
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    HBaseCon 2013 | Apache HBase, Meet Ops. Ops, Meet Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    It is important when looking at rolling out Big Data infrastructure, especially HBase, to have your Operations team onboard. The Ops team will also need an understanding of red flags to watch for as the deployment moves from development to a production. This talk will help you with introducing HBase to your Ops team, mapping their current knowledge to the technology stack, and giving them a head start on supporting HBase in a production environment.
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    The Cloudera Forum: Unaccept the Status Quo
    • Tuesday, Jun 04 2013
    • Category:
    With the emergence of Apache Hadoop, the center of gravity in the data center has begun to shift. Watch this video stream to learn how Cloudera has begun to transform the way enterprises look at their data centers.
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    Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop
    • Tuesday, Jun 04 2013
    • File Type: .PDF
    • Category: Document, About Training, Data Sheets
    Cloudera University’s three-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to Big Data.
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    Cloudera Product Comparison Chart
    • Tuesday, Jun 04 2013
    • File Type: .PDF
    • Category: CDH, Cloudera Enterprise, Cloudera Manager, Support, Data Sheets, Document
    Understand and compare Cloudera products like Cloudera Standard, Cloudera Enterprise, RTD, RTQ, BDR, Navigator, and the Cloudera Enterprise Trial.
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    Cloudera Standard Datasheet
    • Tuesday, Jun 04 2013
    • File Type: .PDF
    • Category: Cloudera Enterprise, Data Sheets
    Whether you’re evaluating Hadoop to accelerate data processing, optimize the performance of your data warehouse or perform new types of analysis on data sets that were previously out of reach, Cloudera Standard is your key to successfully deploying Hadoop to solve your first use case(s).
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    Cloudera Search: Product Overview
    • Tuesday, Jun 04 2013
    • Category: Tutorials, Video, Product Demos
    Learn how to use interactive, natural language search to quickly find relevant information among all the data in Hadoop.