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.

Metadata 142

Metadata Coding SQL Database 142

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 Cloud Storage Metadata Data 98

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 85

Data Warehouse Bytes Data Business Intelligence 85

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. There is no doubt that R is the most preferred programming tool for statisticians, data scientists, data analysts and data architects but it falls short when working with large datasets.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40