Az adatok hatalma - BI Consultingbiconsulting.hu/letoltes/2018budapestdata/arato_bence...Hadoop...
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Transcript of Az adatok hatalma - BI Consultingbiconsulting.hu/letoltes/2018budapestdata/arato_bence...Hadoop...
Az adatok hatalma
Arató Bence
BI Consulting
Ügyvezető igazgató
3
Kettős kihívás
Source: "What's your data strategy?" HBR May-June 2017
Technológia
Dresner Advisory Services - Big Data Analytics Market Study 2017
2018
Gartner 208 Magic Quadrant for Data Management Solutions for Analytics Gartner Magic Quadrant for Data Management Solutions for Analytics, February 2018
2018
Gartner 208 Magic Quadrant for Data Management Solutions for Analytics Gartner Magic Quadrant for Data Management Solutions for Analytics, February 2018
„The leading 2017 story of Hadoop distributions is that nobody seems to want to be accused of being in the business of providing them”
Merv Adrian, Gartner
https://blogs.gartner.com/merv-adrian/2017/12/29/december-2017-tracker-wheres-hadoop
Gartner 2017 Hype Cycle for Data Management
Vendor transformation
Vendor transformation
blogs.gartner.com/merv-adrian/2017/12/29/december-2017-tracker-wheres-hadoop
Qubole 2018 Big Data Activation Report
Qubole 2018 Big Data Activation Report
Pénzügyi eredmények
Hortonworks
Hortonworks
Cloudera
Source: Forbes
Cloudera
Cloudera
AI kihívások
AI Hype
Source: Gergely Daróczi
blog.openai.com/ai-and-compute
blog.openai.com/ai-and-compute
blog.openai.com/ai-and-compute
www.extremetech.com/extreme/269008-google-announces-8x-faster-tpu-3-0-for-ai-machine-learning
vectordash.com
2017
index.hu/tech/2017/01/03/magyarorszagot_is_elfoglaljak_a_csevegobotok
2017
index.hu/kultur/media/2017/01/03/robotizaltuk_az_indexet
2018
index.hu/tech/2018/06/07/a_forradalom_erdeklodes_hianyaban_elmaradt
Hazai helyzet
Hungarian Cluster Showcase
Hungarian Cluster Showcase
Central Média
IBM Budapest Lab Prezi
Node 12 10 41 CPU 96 320 168 Memória 384 GB 600 GB 672 GB Adatmennyiség 15 TB 800 TB 1 PB+ Tárolás S3 S3 Hadoop Cloudera EMR EMR SQL motor Impala Hive, Spark, Presto Presto, Spark, Hive Devops (fő) 2 3 3 User (fő) 8 20 90
Hungarian Cluster Showcase
Magyar Telekom
Mol group
Telenor Hungary
Node 26 6 15 CPU 500 48 30 Memória 4500 GB 384 GB 3800 GB Adatmennyiség 400 TB 24TB 50 TB Tárolás Clusteren Clusteren Clusteren Hadoop Cloudera Cloudera Cloudera
SQL motor Hive, Spark,
Impala Hive, Spark,
Impala Spark
Devops (fő) 30 10 10 User (fő) 500 30 20
Source: Cloudera
www.nng.com/hanagyleszek
www.nng.com/hanagyleszek
www.nng.com/hanagyleszek
GDPR
Source:Hortonworks
(viber)
https://www.facebook.com/photo.php?fbid=10204856278523793&set=gm.2086132085003351
