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

yass id:yass

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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‚¯
Cloudera Blog
We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices, part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scala ble AI inference. Background The generative AI landscape is evolving [â€¦] Read blog post
yass 2014/09/04
" a new approach using a hybrid engine that leverages Tez and something new called Â LLAP (Live Long and Process, #llap online). "

Hadoop

hive

stinger

sql

tez
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‚¯
Yahoo Betting on Apache Hive, Tez, and YARN
Low-latency SQL queries, Business Intelligence (BI), and Data Discovery on Big Data are some of the hottest topics these days in the industry with a range of solutions coming to life lately to address them as either proprietary or open-source implementations on top of Hadoop.Â Some of the popular ones talked about in the Big Data communities are Hive, Presto, Impala, Shark, and Drill. Yahoo has tr
yass 2014/05/17
" Hive 0.13 execution times were comparable or better than Shark on a 100 node cluster. "

hadoop

hive

yahoo

stinger

sql

Tez

shrak
ãƒªãƒ³ã‚¯
Apache Hadoop Distribution | MapR
Your HPE MyAccount provides you with: Single sign-on to the HPE ecosystem Personalized recommendations Test drives and other trials And many more exclusive benefits
yass 2014/02/28
hadoop

hive

drill

impala

presro

shark

spark

comparison

sql
ãƒªãƒ³ã‚¯
Cloudera Blog
Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it rem ains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Cloudera recently signed a strategic collaboration agreement with Amazon [â€¦] Read blog p
yass 2014/02/11
" Stinger Technical Preview shows an average 2.7x speedup versus Hive 12. Remember that Hive 12 includes all the performance benefits that have gone into Stinger Phases 1 and 2, and is the fastest Hive generally available today. "

hortonworks

hdp

hive

stinger

sql

tez
ãƒªãƒ³ã‚¯
Teradata Presto | Product Details | Open Source
Teradata Blogs When big data becomes vast, what's your data dropping strategy? Read more Support Teradata at Your Service (TAYS) Simple, secure customer access to products, services, education, and support function information. Read more Certifications Teradata Certified Professional Program (TCPP) Management, development, and oversight of the premiere Teradata Certification Program. Read more Con
yass 2013/11/02
" SQL processed by a specialized (Google-inspired) SQL engine that sits on a Hadoop cluster. Both Impala and Drill fall into this category. Impala is inspired by Googleâ€™s F1 project and Drill by Googleâ€™s Dremel project. "

hadoop

impala

drill

stinger

hadapt

hive

sql
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‚¯
Hive on AWS @ COOKPAD - ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰é–‹ç™ºè€…ãƒ–ãƒã‚°
ã“ã‚“ã«ã¡ã‚ã€‚ã‚µãƒ¼ãƒ“ã‚¹é–‹ç™ºæ‹…å½“ã®å‹é–“ã§ã™ã€‚ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰ã®ï¼‘å¹´ã®æœ€å¤§ã®ãƒ”ãƒ¼ã‚¯ã§ã‚ã‚‹ãƒãƒ¬ãƒ³ã‚¿ã‚¤ãƒ³ãŒçµ‚ã‚ã‚Šã€å°‘ã—è½ã¡ç€ãã‚’ã¨ã‚Šã‚‚ã©ã—ãŸæŠ€è¡“éƒ¨ã‹ã‚‰ãŠå±Šã‘ã—ã¾ã™ã€‚ ã•ã¦ã€å…ˆæ—¥ç§‹è‘‰åŽŸã§ã€Œç¬¬0å›ž AWS User Group - Japanå‹‰å¼·ä¼šã€ãŒé–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚100äººã‚’è¶…ã™å‚åŠ è€…ã®ä¸ã€AWSã®ã‚¨ãƒãƒ³ã‚¸ã‚§ãƒªã‚¹ãƒˆJeff Barrã•ã‚“ã®è¬›æ¼”ãŒã‚ã£ãŸã‚Šã€å†…å®¹ã®æ¿ƒã„LTãŒç¶šã„ãŸã‚Šã¨ã€éžå¸¸ã«å¤§ç››æ³ã§ã—ãŸã€‚ãã‚“ãªLTã«åƒ•ã‚‚å‚åŠ ã—ã¦ã€ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰ã®ãƒãƒƒãƒã‚·ã‚¹ãƒ†ãƒ ã¨AWSã¨ã®é€£æºã«ã¤ã„ã¦è©±ã—ã¦ãã¾ã—ãŸã€‚ ã‚¯ãƒƒã‚¯ãƒ‘ãƒƒãƒ‰ã§ã¯AWSã¨ã—ã¦EC2, S3ã‚’ã¤ã‹ã£ã¦åˆ†æ•£è§£æžç’°å¢ƒã‚’æ§‹ç¯‰ã—ã¦ã€Hiveã‚’ä½¿ã£ãŸãƒ‡ã‚¤ãƒªãƒ¼ã®ãƒã‚°è§£æžã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚LTã§ã¯ãã‚Œã‚‰ã®è©±ã‚’ã—ãŸã®ã§ã™ãŒã€ï¼•åˆ†ã¨é™ã‚‰ã‚ŒãŸæ™‚é–“ã§ã¯é§†ã‘è¶³ã®ç™ºè¡¨ã«ãªã£ã¦ã—ã¾ã£ãŸã®ã§ã€å½“æ—¥ã˜ã£ãã‚Šè©±ã›ãªã‹ã£ãŸç®‡æ‰€ãªã©ã‚’ç¢ºèªã„ãŸã ã‘ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ [slideshare id=328
yass 2010/03/05
amazon

aws

hadoop

MapReduce

Hive

sql
ãƒªãƒ³ã‚¯
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