Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

Cloudera

AUGUST 30, 2022

Data Lakehouse: Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support artificial intelligence, business intelligence, machine learning, and data engineering use cases on a single platform. Deploying modern data architectures. Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Cloudera

FEBRUARY 8, 2024

Cloudera Data Warehouse (CDW) running Hive has previously supported creating materialized views against Hive ACID source tables. Starting from the CDW Public Cloud DWX-1.6.1 release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format.

Metadata 90

Metadata Data Warehouse BI AWS 90

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 92

Data Lake Data Warehouse BI SQL 92

Data Engineering Weekly

DECEMBER 4, 2022

The article highlights the challenges of maintaining data models in a world where SQL data warehouses are no longer the primary data platform. The author discusses the need for richer metadata to support complex data lineage and evolving privacy requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

APRIL 3, 2023

The new feature this blog post is aiming to discuss about Iceberg V2 format (version 2), as the Iceberg table specification explains, the V1 format aimed to support large analytic data tables, while V2 aimed to add row level deletes and updates. Read why the future of data lakehouses is open.

Data Warehouse 81

Data Warehouse Metadata Java Data 81

Monte Carlo

JUNE 14, 2023

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. The term modern data stack refers to the multiple modular SaaS solutions that comprise the data platform and pipeline (more on those later).

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52