Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS. Data Ingestion. Introduction. Register Now. .

Machine Learning 137

Machine Learning Datasets Data Science Raw Data 137

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

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. Towards Data Science ). Forrester ).

Data Architecture 78

Data Architecture Architecture Data Lake NoSQL 78

Cloudera

DECEMBER 15, 2022

With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback. Metadata management .

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

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

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. In a bit more detail, Iceberg V1 added support for creating, updating, deleting and inserting data into tables. Read why the future of data lakehouses is open.

Data Warehouse 81

Data Warehouse Metadata Java Data 81

Monte Carlo

JUNE 14, 2023

The modern data stack era , roughly 2017 to present data, saw the widespread adoption of cloud computing and modern data repositories that decoupled storage from compute such as data warehouses, data lakes, and data lakehouses. Zero ETL is a bit of a misnomer.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52