Cloudera Blog
The ongoing progress in Artificial Intelligence is constantly expanding the realms of possibility, revolutionizing industries and societies on a global scale. The release of LLMs surged by 136% in 2023 compared to 2022, and this upward trend is projected to continue in 2024. Today, 44% of organizations are experimenting with generative AI, with 10% having […] Read blog post
Impala Performance Update: Now Reaching DBMS-Class Speed - Cloudera Blog
Impala’s speed now beats the fastest SQL-on-Hadoop alternatives. Test for yourself! Since the initial beta release of Cloudera Impala more than one year ago (October 2012), we’ve been committed to regularly updating you about its evolution into the standard for running interactive SQL queries across data in Apache Hadoop and Hadoop-based enterprise data hubs. To briefly recap where we are today: I
Presentations from the Cloudera Impala meetup on Aug 20 2013
This is a technical deep dive about Cloudera Impala, the project that makes scalable parallel databse technology available to the Hadoop community for the first time. Impala is an open-sourced code base that allows users to issue low-latency queries to data stored in HDFS and Apache HBase using familiar SQL operators. Presenter Marcel Kornacker, creator of Impala, begins with an overview of Impala
Evaluation of cloudera impala 1.1
This document evaluates the performance of Cloudera Impala 1.1 using two clusters. It finds that RCFile with Snappy compression provides the fastest performance for both Hive and Impala on the clusters for reading-only workloads. Parquet with Snappy may be fastest for larger tables. Issues were identified with memory limits during Parquet table creation and were later fixed. The evaluation shows I
Apache Parquet
Documentation Download Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk. Parquet is available in multiple languages including Java, C++, Python, etc...
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Inside Yellow Pages' SQL-on-Hadoop Journey
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stripe/herringbone · GitHub - Tools for working with parquet, impala, and hive
