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Data Warehouses

Choosing the right Data Warehouse SQL Engine: Apache Hive LLAP vs Apache Impala

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse, is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data. Both are 100% Open source, so you can avoid vendor lock-in while you use your favorite BI tools, and benefit from community-driven innovation.

Cloudera Data Warehouse on Azure Provides Fast, Cost-Effective and Highly Scalable Analytics

The Cloudera Data Warehouse (CDW) service is a managed data warehouse that runs Cloudera’s powerful engines on a containerized architecture. It is part of the new Cloudera Data Platform, or CDP, which went live on Microsoft Azure earlier this year. The CDW service lets you meet SLAs, onboard new use cases with zero friction, and minimize cost. Today, we are pleased to announce the general availability of CDW on Microsoft Azure.

Faster Analytics with Cloudera Data Warehouse (CDW) Demo Highlight

The cloud-led journey to digital transformation requires organizations to become significantly more data-driven, yet traditional data warehouses have difficulty with new data volumes, new data types, and a variety of use cases. In this session, we will show you how Cloudera Data Warehouse offers a guide to your cloud journey by offering a modern hybrid cloud solution for an unprecedented scale that delivers insight to every part of your organization, faster while saving costs.

Use IAM custom roles to manage access to your BigQuery data warehouse

When migrating a data warehouse to BigQuery, one of the most critical tasks is mapping existing user permissions to equivalent Google Cloud Identity and Access Management (Cloud IAM) permissions and roles. This is especially true for migrating from large enterprise data warehouses like Teradata to BigQuery. The existing Teradata databases commonly contain multiple user-defined roles that combine access permissions and capture common data access patterns.