Tag Archives: HDFS

RecordService: For Fine-Grained Security Enforcement Across the Hadoop Ecosystem

Categories: Hadoop Impala Platform Security & Cybersecurity Sentry

This new core security layer provides a unified data access path for all Hadoop ecosystem components, while improving performance.

We’re thrilled to announce the beta availability of RecordService, a distributed, scalable, data access service for unified access control and enforcement in Apache Hadoop. RecordService is Apache Licensed open source that we intend to transition to the Apache Software Foundation. In this post, we’ll explain the motivation, system architecture,

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Introduction to HDFS Erasure Coding in Apache Hadoop

Categories: Hadoop HDFS

Erasure coding, a new feature in HDFS, can reduce storage overhead by approximately 50% compared to replication while maintaining the same durability guarantees. This post explains how it works.

HDFS by default replicates each block three times. Replication provides a simple and robust form of redundancy to shield against most failure scenarios. It also eases scheduling compute tasks on locally stored data blocks by providing multiple replicas of each block to choose from.

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How-to: Prepare Unstructured Data in Impala for Analysis

Categories: How-to Impala

Learn how to build an Impala table around data that comes from non-Impala, or even non-SQL, sources.

As data pipelines start to include more aspects such as NoSQL or loosely specified schemas, you might encounter situations where you have data files (particularly in Apache Parquet format) where you do not know the precise table definition. This tutorial shows how you can build an Impala table around data that comes from non-Impala or even non-SQL sources,

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Meet Cloudera’s Apache Spark Committers

Categories: Community General Meet the Engineer Spark

The super-active Apache Spark community is exerting a strong gravitational pull within the Apache Hadoop ecosystem. I recently had that opportunity to ask Cloudera’s Apache Spark committers (Sean Owen, Imran Rashid [PMC], Sandy Ryza, and Marcelo Vanzin) for their perspectives about how the Spark community has worked and is working together, and the work to be done via the One Platform initiative to make the Spark stack enterprise-ready.

Recently, Apache Spark has become the most currently active project in the Apache Hadoop ecosystem (measured by number of contributors/commits over time),

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How Impala Scales for Business Intelligence: New Test Results

Categories: Impala Performance

Recent Impala testing demonstrates its scalability to a large number of concurrent users. 

Impala, the open source MPP query engine designed for high-concurrency SQL over Apache Hadoop, has seen tremendous adoption across enterprises in industries such as financial services, telecom, healthcare, retail, gaming, government, and advertising. Impala has unlocked the ability to use business intelligence (BI) applications on Hadoop; these applications support critical business needs such as data discovery,

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