Big data analytics enterprise and cloud computing
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Transcript of Big data analytics enterprise and cloud computing
Living in the Cloud: Big Data Analytics & Enterprise Cloud
ComputingSpeaker
Scott Mongeau
© Cloud Credential Council
Agenda> Introduction: Cloud Credential Council
Tristano VacondioMarketing ManagerCCC
> Living in the Cloud: Big Data Analytics & Enterprise Cloud ComputingScott MongeauSenior Business Analytics Solutions Manager at SAS, industry leader in business analytics software and services.
Presentation
© Cloud Credential Council
The Cloud Credential Council
● Vendor Neutral● International● Non Profit
CCC History in BriefProfessional Cloud Series
CCC History in Brief Con’t.
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Certification Scheme
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Accreditation Scheme
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Living in the Cloud: Big Data Analytics & Enterprise Cloud Computing
© Cloud Credential Council
Living in the Clouds:
Big Data Analytics and Enterprise Cloud Computing
• Why? Overview of big data cloud analytics • What? Key trends in enterprise cloud analytics • How & Who? Insights on data science skills
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Education• PhD (ABD)
• MBA
• MA Financial Mgmt
• Cert. Finance
• GD IT Mgmt
• MA Com Tech
Experience• SAS Institute Sr. Mgr. Business Solutions• Deloitte Manager Analytics
• Nyenrode University
Lecturer Analytics• SARK7
Owner / Principal Consultant• Genentech Inc. / Roche
Principal Analyst / Sr. Mgr.
• Atradius Sr. R&D Engineer
Senior Business Solutions Manager
[email protected] +31 683 703 097
• Linkedin • Twitter• Blog
Scott Allen MongeauCertified Analytics Professional (CAP)
YouTube • Introduction to Advanced Analytics• Introduction to Cognitive Analytics • TedX: Data Analytics
39 #1
13,700
9375,000+
US $ 3.09 b
23%SAS employees worldwide
of the top
100companieson the
GLOBAL500 LIST
Annual reinvestment in
R&D
Continuous RevenueGrowth since 1976
Years ofBUSINESSANALYTICS
World’s
privately heldsoftware company
LARGEST
Customer sites in 139 countries
DATAANALYTICS MARKET LEADER
DIG
ITA
L SE
RVI
CES
Data driven innovation
Analytics maturity
Big Data Data quality
Hidden insights
Machine
learning
Predictive analytics
Optimization Text analytics
I. Why? Big Data Cloud Analytics
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DATA Analytics DRIVERS: V3C
Social and mobile Data analytics
Interactive platforms Real-Time systems
• VOLUME• VELOCITY• VARIETY• COMPLEXITY
V3C
Online in 60 Seconds…
Qmee
http://blog.qmee.com/qmee-online-in-60-seconds/
Moore’s Law: Exponential growth of computing power
19
25,000 x
Home computers
High-capacity servers
Smartphoneexplosion
Cloud, AI, IoT
2015
WORLDWIDE PUBLIC IT CLOUD SERVICES REVENUE
IDC, “Worldwide Software Predictions, 2015”, January 2015http://www.idc.com/getdoc.jsp?containerId=WC20150128
2010 2011 2012 2013 2014 2015 2016 2017
$120B$100B
$80B$60B$40B$20B$0B
$107 BILLIONIN 2017
Cloud Computing
II. What? Cloud Models
Cloud Computing DefinitionNational Institute of Standards and Technology (NIST)
• Ubiquitous, convenient, on-demand network access…• To shared pool of configurable computing resources…• That can be rapidly provisioned with minimal effort
Cloud Computing Service ModelsLayers of Cloud Services
Cloud Computing Service ModelsLayers of Cloud Services
Cloud Computing Service ModelsLayers of Cloud Analytics Services
DAaaSPre-configured dashboards, guided data analysis, self-service analytics, expert systems, etc.
Virtual machines, servers, storage, load balancing, distributed processing, etc.
Hadoop / big data clusters, dataware housing, machine learning tools, dashboarding, etc.
Cloud Models
DEPLOYMENT MODELS
Copyr igh t © 2015, SAS Ins t i tute Inc . A l l r i gh ts r es erved.
SAS & Cloud
WHERE WOULD YOU LIKE TO RUN SAS?
Private Cloud
Public Cloud
SAS Cloud
for 250+ customers
from 73 countries
500+ Systems
Cloud Analytics
Credentials
© Cloud Credential Council
Public vs. private cloud
http://www.techrepublic.com/article/public-cloud-crushing-private-cloud-in-growth-and-revenue/
• Private: another way to say "my own data center”
• Market size $7 billion (6%)
• Slower growth• Illusion of control• Generational?
© Cloud Credential Council
Leading PublicCloud Vendors
https://www.gartner.com/doc/reprints?id=1-2IH2LGI&ct=150626&st=sb
Magic Quadrant for Public Cloud Storage Services, Worldwide25 June 2015 | ID:G00268914Analyst(s): Arun Chandrasekaran, Raj Bala
Major Public Cloud ServicesCloud Solution
Amazon Microsoft Google Oracle HP IBM
STORAGE
Big Data Amazon S3 HDFS Cloud Storage (GFS) Oracle Big Data Appliance X3-2 HP StoreAll Storage IBM SmartCloud
NoSQL DynamoDB Table Storage API AppEngine Datastore Oracle NoSQL DB ACID (C + A) compliant Sqoop DB2 broker
Relational MySQL or Oracle SQL Azure Cloud SQL Oracle RDB SAP HANA IBM DB2
PRO
CESSING
Hosting Amazon EC2 Azure Compute AppEngine Amazon Elastic Compute Cloud (EC2)
HP Enterprise Cloud Services
IBM SmartCloud Enterprise+
Big Data Analytics Elastic MapReduce Hadoop on Azure BigQuery Oracle Analytics HAVEn Big Data BigInsights /
IBM Bus. Analytics
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Cloud Usage
• Financials and accounting: 37.8%• Customer Relationship Management
(CRM): 33.8%• Sales Force Automation (SFA): 31.9%• Data warehouse/analytics: 29.5%• Supply Chain Management (SCM):
27.0%
http://www2.deloitte.com/us/en/pages/deloitte-growth-enterprise-services/articles/disruption-in-the-mid-market-how-technology-is-fueling-growth.html
III. How? Data Analytics
Analytics Trends
• Influencing business strategy and operational priorities: 34.4%
• Providing metrics, information and tools needed for sound business decisions: 34.0%
• Forecasting and reporting business results: 20.6%
• Predictive client, customer, or business behavior analysis: 8.4%
http://www2.deloitte.com/us/en/pages/deloitte-growth-enterprise-services/articles/disruption-in-the-mid-market-how-technology-is-fueling-growth.html
VALUE
SOPH
ISTI
CAT
ION
DESCRIBE
PREDICT
OPTIMIZE
What happened?
What are trends?
What to do?Data AnalyticsFunctional
VALUE
SOPH
ISTI
CAT
ION
DESCRIBE
PREDICT
OPTIMIZE
BusinessIntelligence (BI)
Econometrics Forecasting
Machine Learning
Operations Management
Data AnalyticsHistorical
Descriptive / Exploratory analytics CLUSTERING
EXPLORATORY & PREDICTIVE - CLASSIFICATIONDescriptive & Predictive analytics
Descriptive & Predictive analytics PREDICTIVE - REGRESSION ANALYSIS
Descriptive & Predictive analytics ANOMALY DETECTION
Descriptive & Predictive analytics CONDITIONAL / CONTEXTUAL ANOMALIES
• An instance may be anomalous within a context / condition
The Analytics Ice Cream Shop
How do we make complex sets of data available to non-technical users so they can seek patterns and discover new insights?
Visualization
How do we make complex sets of data available to non-technical users so they can seek patterns and discover new insights?
Data Quality
How do we efficiently collect, store, transform, and retrieve the data we need while ensuring quality?
AMOUNT OF EFFORT
VALU
E TO
BU
SIN
ESS
Descriptive
IV. Who? Data Analytics Skills
Calvin.Andrus (2012) http://en.wikipedia.org/wiki/File:DataScienceDisciplines.png
Data Science Skillset
Calvin.Andrus (2012) http://en.wikipedia.org/wiki/File:DataScienceDisciplines.png
Data Science Skillset
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DATA SCIENCE PEOPLE / ROLES
http://www.oreilly.com/data/free/analyzing-the-analyzers.csp
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http://www.oreilly.com/data/free/analyzing-the-analyzers.csp
DATA SCIENCE PEOPLE / ROLES
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TOOLS: multiple tools
DATA SCIENCE TECHNOLOGIES
http://www.oreilly.com/data/free/2014-data-science-salary-survey.csp
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DATA SCIENCE TECHNOLOGIES
49
DATA SCIENCE TECHNOLOGIES
50
DATA SCIENCE TECHNOLOGIES
SUMMARY
Thank You!