Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? What if our queries are very selective? It turns out that Apache Impala scales down with data just as well as it scales up.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Cloudera

MARCH 2, 2022

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Large user communities of analysts and developers benefit from Impala’s fast query execution, helping them get their work done more effectively. Hash Table.

Data Warehouse 87

Data Warehouse Optimization Analytics Sales 87

Cloudera

DECEMBER 10, 2020

Cloud-native warehouses that fail economically usually don’t do a good job optimizing cloud resources as part of their core functionality. CDW was designed to aggressively keep cloud costs under control. They require skilled central IT teams to tackle technical complexities and long lead times in planning, procuring, and provisioning.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. These capabilities are to be made available inside the applications people use every day. This is in contrast to traditional BI, which extracts insight from data outside of the app. The result is a much better analytics experience. Consider Delta.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52