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Is Apache Iceberg the New Hadoop? Navigating the Complexities of Modern Data Lakehouses

Data Engineering Weekly

But is it truly revolutionary, or is it destined to repeat the pitfalls of past solutions like Hadoop? Danny authored a thought-provoking article comparing Iceberg to Hadoop , not on a purely technical level, but in terms of their hype cycles, implementation challenges, and the surrounding ecosystems.

Hadoop 58
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Cloud Data Warehouse Migrations: Success Stories from WHOOP and Nexon

Snowflake

For organizations considering moving from a legacy data warehouse to Snowflake, looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or assessing new options if your current cloud data warehouse just isn’t scaling anymore, it helps to see how others have done it. million in cost savings annually.

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Securely Scaling Big Data Access Controls At Pinterest

Pinterest Engineering

Each dataset needs to be securely stored with minimal access granted to ensure they are used appropriately and can easily be located and disposed of when necessary. Consequently, access control mechanisms also need to scale constantly to handle the ever-increasing diversification.

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Access control for Azure ADLS cloud object storage

Cloudera

introduces fine-grained authorization for access to Azure Data Lake Storage using Apache Ranger policies. Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage. Use case #1: authorize users to access their home directory.

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The value of CDP Public Cloud over legacy Hadoop-on-IaaS implementations

Cloudera

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Fine-grained Data Access Control. Introduction. Capability.

Hadoop 86
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Apache Ozone – A Multi-Protocol Aware Storage System

Cloudera

Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics. This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 105
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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Ozone Namespace Overview. STORED AS TEXTFILE.