[B! sql][presto] yassã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

yass id:yass

sqlã¨prestoã«é–¢ã™ã‚‹yassã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (6)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

SQL on Hadoop æ¯”è¼ƒæ¤œè¨¼ ã€2014æœˆ11æ—¥ã«ãŠã‘ã‚‹æ¤œè¨¼ãƒ¬ãƒãƒ¼ãƒˆã€‘
Impala Meetup 2014/10/31 @Tokyo è¬›æ¼”è³‡æ–™ ã€æ³¨æ„äº‹é …ã€‘ æœ¬è³‡æ–™ã§ç´¹ä»‹ã—ã¦ã„ã‚‹æ¤œè¨¼çµæžœã¯2014å¹´å½“æ™‚ã®ã‚‚ã®ã§ã™ã€‚å½“è©²ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã¯æˆé•·ã‚„æ”¹å–„ãŒæ—©ãã€ç¾æ™‚ç‚¹ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã¯å¤§ããç•°ãªã‚‹æ©Ÿèƒ½ã‚„æ€§èƒ½ã¨ãªã£ã¦ã„ã¾ã™ã€‚ SQL on Hadoopã®æœ€æ–°æƒ…å ±ã«åŸºã¥ãã‚µãƒ¼ãƒ“ã‚¹ã‚„ã‚·ã‚¹ãƒ†ãƒ ã‚¤ãƒ³ãƒ†ã‚°ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã«ã”èˆˆå‘³ã‚’ãŠæŒã¡ã®æ–¹ã¯ã€NTTãƒ‡ãƒ¼ã‚¿ åŸºç›¤ã‚·ã‚¹ãƒ†ãƒ äº‹æ¥æœ¬éƒ¨ OSSãƒ—ãƒãƒ•ã‚§ãƒƒã‚·ãƒ§ãƒŠãƒ«ã‚µãƒ¼ãƒ“ã‚¹ï¼ˆé›»åãƒ¡ãƒ¼ãƒ«ï¼š hadoop [AT] kits.nttdata.co.jpï¼‰ ã«ã”ç›¸è«‡ãã ã•ã„ã€‚Read less
yass 2014/11/05
Hadoop

benchmark

comparison

hive

Impala

sql

presto

impala

tez
ãƒªãƒ³ã‚¯
SQL on Hadoop in Taiwan
This document discusses SQL engines for Hadoop, including Hive, Presto, and Impala. Hive is best for batch jobs due to its stability. Presto provides interactive queries across data sources and is easier to manage than Hive with Tez. Presto's distributed architecture allows queries to run in parallel across nodes. It supports pluggable connectors to access different data stores and has language bi
yass 2014/09/27
presto

hadoop

sql
ãƒªãƒ³ã‚¯
War of the Hadoop SQL engines. And the winner is ...? - Sonra
War of the Hadoop SQL engines. And the winner is â€¦? You may have wondered why we were quiet over the last couple of weeks? Well, we locked ourselves into the basement and did some research and a couple of projects and PoCs on Hadoop, Big Data, and distributed processing frameworks in general. We were also looking at Clickstream data and Web Analytics solutions. Over the next couple of weeks we wil
yass 2014/07/28
" Right now I would run both batch style queries (ETL) and interactive queries on Hive Tez as Hive offers the richest SQL feature set, especially analytic functions and supports a wide set of file formats. "

hadoop

sql

hive

tez

impala

presto

spark

infinidb

drill
ãƒªãƒ³ã‚¯
Real-time Analytics Database | CrateDB
Execute ad-hoc queries on billions of records in milliseconds. Columnar storage guarantees ultra-fast aggregations, enabling instant data-driven decisions. Begin with a simple query and delve into complex data relationships, revealing trends and patterns across diverse data types. Hybrid Search Effortless search across structured, semi-structured, geospatial, and vector data. Perform full-text, ve
yass 2014/04/19
" Crate Data is a distributed system that runs on one machine or a cluster of machines. Crate comes in one complete install package. It includes solid established open source components (Presto, Elasticsearch, Lucene, Netty) "

sql

presto

netty

lucene

elasticsearch

distributed
ãƒªãƒ³ã‚¯
ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã®SQL-in-Hadoopã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³:æˆ‘ã€…ã¯ã„ã¾ã©ã“ã«ï¼Ÿ
Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ ç¬¬2ç‰ˆ ä½•åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ãƒƒã‚¯ã€ŒPractical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootã‚’ä½¿ã£ãŸREST APIæ§‹ç¯‰ã®åŸºç¤Žã‚’å¦ã‚“ã ã€‚ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ããƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ã€‚ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€é‡è¦ãªå¤‰...
yass 2014/01/16
hadoop

sql

drill

presto

impala
ãƒªãƒ³ã‚¯
Facebook unveils Presto engine for querying 250 PB data warehouse â€“ Old GigaOm
At a conference for developers at Facebook (s fb) headquarters on Thursday, engineers working for the social networking giant revealed that itâ€™s using a new homemade query engine called Presto to do fast interactive analysis on its already enormous 250-petabyte-and-growing data warehouse. More than 850 Facebook employees use Presto every day, scanning 320 TB each day, engineer Martin Traverso said
yass 2013/10/11
" Think of Presto as Facebookâ€™s version of Clouderaâ€™s Impala SQL querying engine or what Hortonworks is working on with Stinger, but custom-fit for fast performance at Facebook scale. "

Facebook

presto

hive

sql
ãƒªãƒ³ã‚¯
1