Big Data Taiwan 2014 Track1-3: Big Data, Big Challenge — Splunk 幫你解決 Big Data...Etu Solution
講者:SYSTEX 數據加值應用發展部產品經理 | 陶靖霖
議題簡介:認清現實吧! Big Data 是個熱門詞彙、熱門議題,但是問題的核心仍然圍繞在資料處理的流程、架構與技術,要踏入 Big Data 的領域,使用者會遭遇哪些挑戰? Splunk 被譽為「全球最佳的 Big Data Company」,究竟在資料處理的流程中擁有什麼獨特的技術優勢,能夠幫助使用者克服這些挑戰?又有哪些成功幫助使用者從資料中萃取出價值的應用案例?歡迎來認識 Splunk 以及全球 Big Data 成功案例。
Big Data Taiwan 2014 Track1-3: Big Data, Big Challenge — Splunk 幫你解決 Big Data...Etu Solution
講者:SYSTEX 數據加值應用發展部產品經理 | 陶靖霖
議題簡介:認清現實吧! Big Data 是個熱門詞彙、熱門議題,但是問題的核心仍然圍繞在資料處理的流程、架構與技術,要踏入 Big Data 的領域,使用者會遭遇哪些挑戰? Splunk 被譽為「全球最佳的 Big Data Company」,究竟在資料處理的流程中擁有什麼獨特的技術優勢,能夠幫助使用者克服這些挑戰?又有哪些成功幫助使用者從資料中萃取出價值的應用案例?歡迎來認識 Splunk 以及全球 Big Data 成功案例。
INFLUENCE OF LEADERSHIP TRAITS ON TEAM PERFORMANCE AS CORRELATES OF SUCCESS I...civej
The project environment in Nigeria is shifting from traditional practice towards dispersed teams thereby
creating the need to understand leadership attributes that lead to successful project outcomes. This study
assessed the impact of leadership traits on team performance as correlates of success in construction
projects. Like many other management research, the study involve inferential survey. 172 participants
drawn from the different professions in the construction industry selected from 42 mega projects completed
in the last three years in south-south Nigeria were sampled. Twelve collaborative leadership traits drawn
from emotional, managerial competencies were tested against team performance and team spirit stimulants
from the literature. Mean item score was used to evaluate relevance of the traits to collaborative working
while hypotheses were tested using chi square. While the result of the study is not different from literature,
the far reaching implication is that, project team members’ satisfaction translates into successful projects.
Project management’s leadership quest to satisfy the project team must be guided towards collaboration.
The current result has advance significantly the understanding of team leadership attributes for the
research environment and further buttress the need to meet project participants’ mutual objectives for a
successful project.
A brief description of oyster industry by taking example as a brand Amul and its history, timeline,competitive landscape , industry workings and marketing strategies like PEST and etc.
О Коране и Арифметике циклов Времени
Воспользуемся описанием математических зависимостей в Коране (см. источник) чтобы понять:
что стоит за числом 19?
Другой источник, представляющий собой сборник Старого и Нового Завета, содержащий в себе набор Евангелий, вместе именуемый Библией, будет представлен далее отдельной частью исследования Времени.
Этот материал подготовлен как часть исследования Времени, посвященного раскрытию временных циклов в составе цикла Прецессии Земли, объясняющего наступление и увеличение чАстоты и мощности Катаклизмов в цикле времени, равном 25920 лет + 80 лет переходный период, где переходный период берет свой отсчет в прошедшем 2016 году.
Окончание этого цикла Прецессии, по современным сведениям наступающее к 2100-2103 году, вместе с расчетами временного цикла Прецессии и его составляющих малых циклов, дает нам возможность определить значения и состояние положения полюса Эклиптики планеты Земля относительно северного полюса Галактики, давая временные ориентиры для ожидаемого смещения полюса планеты Земля относительно полюса Эклиптики. Общее исследование времени выполняется в рамках проекта восстановления Духовности Человека и Культуры Общества.
20170227 Значение 10,12,13 (12+1),70,72 апостоловAndrei A. Emelin
10,12,13 (12+1),70,72 Апостолов
Сколько их, кто они и почему именно столько?
Ответ прост:
Правила апостолов (12 созвездий эклиптики- зодиакального круга) в итоге заменены на 10 заповедей, кратно 10 созвездиям для простолюдинов
остается еще всего один вопрос....
It is my journey as how I became a UI trainer from developer and the lessons I learned along the way... When I look back, it is always a satisfying experience.
Hadoop con 2015 hadoop enables enterprise data lakeJames Chen
Mobile Internet, Social Media 以及 Smart Device 的發展促成資訊的大爆炸,伴隨產生大量的非結構化及半結構化的資料,不但資料的格式多樣,產生的速度極快,對企業的資訊架構帶來了前所未有的挑戰,面對多樣的資料結構及多樣的分析工具,我們應該採用什麼樣的架構互相整合,才能有效的管理資料生命週期,提取資料價值,Hadoop 生態系統,無疑的在這個大架構裡,將扮演最基礎的資料平台的角色,實現企業的 Data Lake。
2. The Gartner - Top 10 Technology Trends
for the Energy and Utilities Sector in
2013
Social Media and Web 2.0
Big Data
Mobile and Location-Aware Technology
Cloud Computing and SaaS
Sensor Technology
In-Memory Computing
IT and OT Convergence
Advanced Metering Infrastructure
Communication Technology
Predictive Analytics
2 http://www.gartner.com/newsroom/id/2426515
3. The Gartner
By 2017, the CMO will spend more on IT than
the CIO." (Gartner)
根據Gartner 對全球CIO 調查顯示,BYOD(員工
自攜設備)普及率將在2017年突破五成,最終將達
到85%
3
http://my.gartner.com/portal/server.pt?open=512&objID=202&mode=2&PageID=5553&resId=1871515
http://blog.cloudsherpas.com/cloud-strategy-2/how-to-use-itsm-to-manage-your-byod-strategy/
10. Hadoop 的應用價值
Mediam Latency, batch jobs
For lower latency:
In-Memory Computing/
Streaming Computing (CEP)
10
11. Open Source Big data project
Solution Developer Type Description
Storm Twitter Streaming Twitter's new streaming
big-data analytics
solution
S4 Yahoo! Streaming Distributed stream
computing platform
from Yahoo!
Hadoop Apache Batch First open source
implementation of the
MapReduce paradigm
Spark UC Berkeley
AMPLab
Batch Recent analytics
platform that supports
in-memory data sets
and resiliency
Disco Nokia Batch Nokia's distributed
MapReduce framework
HPCC LexisNexis Batch HPC cluster for big
data
http://www.ibm.com/developerworks/library/os-twitterstorm/
12. Big Data : 4V
12 Ref: http://contest.trendmicro.com/2013/tw/train.htm
15. HDFS Read
15
Name Node
Data Node Data Node Data Node Data Node
Local disk
name,replica,block_id,,
/home/data/test, 3 …etc
Local disk Local disk Local disk
1
2
3
name
block_id, loc
Transfer data
block_operation(heartbeat, replication, re-balancing
16. HDFS Write
16
Name Node
1
2
create
Write data
doing replica
(data replication)
3
Data Node Data Node Data Node Data Node
Local disk Local disk Local disk Local disk
4
Ack packet
5 Finish
17. Secondary
NameNode
HDFS Fault Tolerance
17
Name Node
Data Node Data Node Data Node
Local disk Local disk Local disk
Data Node
Local disk
18. NameNode HA?
Cloudera
NAS
Hortonworks
Linux Cluster HA or vSphere vMotion
Apache Hadoop
QJM, BackupNode
Other Industry Solution
Veritas VCS/VVR, Linux DRBD
18
19. Hadoop – Big Database?
空間占用為TB ~ PB 以上
儲存非結構化與結構化資料
半結構化資料可以為AP logs, GPS data ,
machine/sensor data
非結構化圖像, 錄影, 錄音檔或任何檔案
19
20. Mapreduce - Dataflow
20
Split 0
Split 1
Split 2
Map 0
Map 1
Map 2
Key a
Key b
Key a
Key b
Key a
Key a
Key b
Reduce 0 Split 0
Reduce 1 Split 1
Input HDFS
Merge Output HDFS
Key b
25. Highlighting Component in Hadoop
25
Component Description
Mahout Scalable machine learning algorithms
YARN NextGen MapReduce - Resource management and
job scheduling
Shark 100X faster than Hive for SQL
Spark Spark can run up to 100x faster
than Hadoop MapReduce
Rhipe R language faster than Java MR
Solr A NoSQL Search Server and Big Data Analytics tool
Storm The Hadoop of Realtime Stream Processing
26. HDFS
Hadoop Distributed File System
Designed Base on Google Filesystem
Provides high-throughput access
Ideal for big table access
Fault tolerence
26
27. HBase
Hadoop-based project
NoSQL/Key-Value Database
分散式即時資料庫
Store structured data storage for large tables
開發者存取資料需透過JAVA 實作出SQL Function/ Join
的效果來
27
28. Pig
Pig Latin 資料流語言
Don’t need to know Java ,實作並簡化了Java Map
reduce
User-defined Functions(UDF)
Parse and manipulate HDFS data
(GROUP、SORT、FILTER、JOIN)
28
37. 各大廠所推出的Hadoop appliance
HP AppSystem for Apache Hadoop
HP HAVEn
Oracle's Big Data Appliance
IBM PureData
EMC Greenplum DCA
(Data Computing Appliance)
NetApp Open Solution for Hadoop
37
Hacking skills that make for a successful data hacker, 具有從網路上取得資料的專長, 不管是被認可的資料, 或是不允許被流通的個資, 都有可能在網路上找到
Math and Stats knowledge: 具有 數學家, 統計學家專長, 屬於學者
Substantive Expertise: Someone who has substantial experience and knowledge, 相當具有solid 經驗, 與知識的專家們
Hacking skills that make for a successful data hacker, 具有從網路上取得資料的專長, 不管是被認可的資料, 或是不允許被流通的個資, 都有可能在網路上找到
Math and Stats knowledge: 具有 數學家, 統計學家專長, 屬於學者
Substantive Expertise: Someone who has substantial experience and knowledge, 相當具有solid 經驗, 與知識的專家們