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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. Trino, Spark, Snowflake, DuckDB).

Hadoop 58
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Apache Ozone Metadata Explained

Cloudera

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys.

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Hadoop vs Spark: Main Big Data Tools Explained

AltexSoft

Hadoop and Spark are the two most popular platforms for Big Data processing. To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? To come to the right decision, we need to divide this big question into several smaller ones — namely: What is Hadoop? scalability.

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How to get started with dbt

Christophe Blefari

dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. You can also add metadata on models (in YAML). In this resource hub I'll mainly focus on dbt Core— i.e. dbt. First let's understand why dbt exists.

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The Best Data Dictionary Tools in 2025

Monte Carlo

Next, look for automatic metadata scanning. It has real-time metadata updates, deep data lineage, and its flexible if you want to customize or extend it for your teams specific needs. OpenMetadata Source: DataHub Then theres OpenMetadata , which is kind of like the Swiss Army knife of metadata tools.

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Reflecting On The Past 6 Years Of Data Engineering

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Your host is Tobias Macey and today I'm reflecting on the major trends in data engineering over the past 6 years Interview Introduction 6 years of running the Data Engineering Podcast Around the first time that data engineering was discussed as (..)

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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. Introduction. Acknowledgment.

Hadoop 86