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Cloudera

What's new in 2.6 | Cost Savings and Developer Improvement

Data engineers and analysts need a self-service way to build data movement flows to get critical data to where it needs to be. Cloudera DataFlow enables self-service by introducing fine grained access control with projects. Projects allow users to group flow drafts and deployments and give access to team members as needed.

Introduction to Ozone on Cloudera Data Platform

When considering whether Ozone is the right fit for your company, view it from several different angles. You can look at it from the perspective of Lower TCO, or reducing the carbon footprint of your Data Center. Other things to consider are how much your data is increasing and at what rate, and if you have enough hardware to cover that growth.

Optimization Strategies for Iceberg Tables

Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data—structured and unstructured. It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts. However, you need to regularly maintain Iceberg tables to keep them in a healthy state so that read queries can perform faster.

High Availability (Multi-AZ) for Cloudera Operational Database

In the previous blog post we covered the high availability feature of Cloudera Operational Database (COD) in Amazon AWS. Cloudera recently released a new version of COD, which adds HA support to Microsoft Azure-based databases in the Cloud. In this post, we’ll perform a similar test to validate that the feature works as expected in Azure, too.

DNS Zone Setup Best Practices on Azure

In Cloudera deployments on public cloud, one of the key configuration elements is the DNS. Get it wrong and your deployment may become wholly unusable with users unable to access and use the Cloudera data services. If the DNS is set up less ideal than it could be, connectivity and performance issues may arise. In this blog, we’ll take you through our tried and tested best practices for setting up your DNS for use with Cloudera on Azure.

Accelerating Queries on Iceberg Tables with Materialized Views

This blog post describes support for materialized views for the Iceberg table format in Cloudera Data Warehouse. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations.

Health Care Outside of the Box

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.