Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 78

Data Warehouse Snapshot Metadata Cost-Benefit 78

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Some of the common issues include constrained schema evolution, static partitioning of data, and long planning time because of S3 directory listings.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

Data Lake 86

Data Lake Metadata Cost-Benefit Data Warehouse 86

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

Cloudera

JULY 13, 2023

Iceberg is an emerging open-table format designed for large analytic workloads. The Apache Iceberg project continues developing an implementation of Iceberg specification in the form of Java Library. Different query engines such as Impala, Hive, and Spark can immediately benefit from using Apache Iceberg Java Library.

Metadata 69

Metadata Snapshot Data Warehouse Statistics 69

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Metadata 96

Metadata Machine Learning Unstructured Data Data Lake 96

Cloudera

SEPTEMBER 12, 2022

It sounds straightforward: you just need data and the means to analyze it. The data is there, in spades. Data volumes have been growing for years and are predicted to reach 175 ZB by 2025. First, organizations have a tough time getting their arms around their data. Unified data fabric. Yes and no.

Unstructured Data 71

Unstructured Data Data Architecture Data Lake Snapshot 71