Google BigQuery Benchmark — DoIT International :: Helping businesses adopt, manage and enhance cloud solutions from Google and Zendesk
By Vadim Solovey, Google Developer Expert.Recently, I came across an interesting benchmark of BigData systems based on "A Comparison of Approaches to Large-Scale Data Analysis" by Pavlo et al. (SIGMOD 2009). Based on the benchmark methodology, the APMLab guys from Berkeley University developed an open-source software that allows anyone to run this benchmark using public cloud (AWS in this case).Th
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
Big Data Benchmark
Click Here for the previous version of the benchmark Introduction Several analytic frameworks have been announced in the last year. Among them are inexpensive data-warehousing solutions based on traditional Massively Parallel Processor (MPP) architectures (Redshift), systems which impose MPP-like execution engines on top of Hadoop (Impala, HAWQ), and systems which optimize MapReduce to improve per
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
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SQL on Hadoop 比較検証 【2014月11日における検証レポート】
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