why big data and a strong back-end matter - how cloud ... · why big data and a strong back-end...

Why Big Data and a strong Back-end matter - how Cloud @ Customer will solve it?

Tibor SlamovitsBig Data & Analytics Specialist

Oracle – Eastern & Central Europehttps://www.linkedin.com/in/slamovits/

Copyright © 2016 Oracle and/or its affiliates. All rights reserved. |

Safe Harbor Statement

The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |

Agenda

• World changing, the future built on (Big) DATA

• Overview of Oracle All Data Platform

• Big Data in Public Sector

• Oracle Cloud Machine – Quick overview

• GDPR How All Data Platform will help you?

• Next steps


The World is changing quicker then ever

5


The World is changing quicker then ever

6


Future is here!

7

KFC China - Opening KFCs 5000th Store.mp4

KFC China - Opening KFCs 5000th Store.mp4


All industry begin distrupted!

8


The World changing quicker then ever: New Revolution / Singularity

9


Adaptation the most important!

10

3 area has to be attended:

- How will be my company/industry disrupted?

- Who will my personal job role disrupted?

- How can we prepare ourselves to the future?


BIG Data: What and Why?

11

3V’s: Volume, Velocity, Variety

- Machine generated data- Big Data Data- Fuel for Artificial Intelligent- Fuel for Predictions

Challenges:- Delivering & Storing- Understand the value- Create predictions


Agenda






• Next steps

13

COMPLETE

Complete Platform

Serving all consumers – business, architects, developers, analysts and IT

Serving all requirements - comprehensive data, analytics and infrastructure capabilities

Serving all deployments – personal, department, group and enterprise

• Oracle Exadata

• Oracle Advanced Analytics Option

• Oracle Spatial & Graph

• Oracle Partitioning

• Oracle In-Memory Option

• Oracle GoldenGate

• Oracle Data Integrator

• Oracle Exalytics

• Oracle BI

• Oracle Data Visualization

• Oracle Essbase


• Oracle Big Data Discovery

• Oracle Big Data Connectors

• Oracle Big Data SQL

• Oracle Big Data Connectors

• Oracle Data Integrator for Big Data

• Oracle GoldenGate for Big Data

• Oracle Big Data Appliance

• Oracle Big Data Cloud Machine

• Oracle NoSQL Database

• Oracle Big Data Spatial & Graph

• Oracle Stream Analytics

• Oracle Coherence


• Oracle Real-Time Decisions

Complete All Data Platform

Golden Gate Cloud

Service

Big Data Cloud

Service

NoSQLCloud

Service *

IOT Cloud

Service

Oracle Integration

Cloud Service

Oracle Database EE

Extreme PerformanceCloud Service

Storage Cloud

Service

Big Data SQL Cloud Service

Oracle Business

Intelligence Cloud Service

Oracle Data Visualization

Cloud Service

Event Hub Cloud

Service Big Data Cloud

Oracle Analytics

Cloud

Complete ‘All’ Data Platform

( * = not yet available)

Oracle Essbase

Cloud Service

Oracle Data

WarehouseCloud Service *

Data Integration Platform Cloud

from September

Big Data Cloud Machine

Based on Sun Oracle X6-2L Servers with per server:

• 32 cores of (2.2GHz) Intel Xeon E5-2699 v4 Processors

• 256 GB DDR4-2400 Memory

• 48TB available RAW Storage

Included Software (Cloud 17.1.5, BDA 4.7):

• Oracle Linux 6 UEK 4

• Cloudera Distribution of Apache Hadoop 5.9.0 – EDH Edition

• Cloudera Manager 5.9.0

• Oracle Big Data Connectors / Oracle R Distribution 3.2.0

• Oracle Big Data Spatial and Graph

Optional Software

• Oracle Big Data SQL 3.1*

16

* Oracle Big Data SQL (on-premise version) is separately licensed

Why is a platform important?

17Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |

• Handle disparate data types

• Ranging from Social Media feeds to surveillance videos, from geo-spatial data to sensor data, from legal documents to basic personal information

• Handle analytical requirements

• Descriptive analytics to predictive analytics (for example, for policing)

• Graph analytics for fraud detection and analysis of networks

• Process Streaming Data

• Processing streams of data (for example when responding to emergency situations)

• Provide Data Lab

• To quickly evaluate new data sources

• Manage Data Integration

• Support integration of new data types and sources with existing systems


Agenda






• Next steps

Government Areas to Address


• Justice & Public Safety

• Defence

• Social Services

• Employment Agencies

• Smart / Sustainable Cities incl. traffic planning

• Healthcare

• Research & Education

• Taxation Agencies

• Horizon Planning

• Other Services

• Open Data Initiatives

Potential Areas for use of Big Data


*“Big Data in der öffentlichen Verwaltung“,White Paper Bundesrechenzentrum GmbH, March 2015** „Demystifying Big Data“, TechAmerica Foundation 2012

Social Intelligencefor Public Safety

solution byOracle Consulting


The Goal

22

To monitor social media to find people before they act against our national interests


Relationships

Context

Profile

It starts with a one piece of information...

ContextWe need to understand what was said, topics of interest, extracted entities, co-ordinates etc

But you can derive much more info...

RelationshipsWho was the message for? Who is in this person’s circle? Who is influencing this person?

ProfileWho sent the message? What else have they said? What’s their pattern?

Oracle Social Intelligence Architecture

24

Ext. data sources

Dataacquisition

DataPool

Discovery Labs

Data scientist

ReportingUnit

Chief command officer

Discovery Tool

Data analyst

CommandUnit

Data reservoir

Existing data stores

Ontologies Base

Semanticanalytics

Semantics and text enrichment

Ontologies definition

Graph visualizerReportingDashboard

Oracle Social Intelligence Architecture

25

Ext. data sources

Dataacquisition

DataPool

Discovery Labs

Data scientist

ReportingUnit

Chief command officer

Discovery Tool

Data analyst

CommandUnit

Data reservoir

Existing data stores

Ontologies Base

Apache Flume

Oracle Event Processor

Phase I Phase IIIPhase II

Semanticanalytics

Semantics and text enrichment

Ontologies definition

Endeca Web Content

Acquisition

OracleGolden Gate

NLPsematics engine

Oracle RTD

Graph visualizerReportingDashboard


Real Big Data Usecase: National Intelligence

26

bigCONNECT for Defense - Plan and Execute a Hostage Extraction Mission.mp4

bigCONNECT for Defense - Plan and Execute a Hostage Extraction Mission.mp4

Copyright © 2017, Oracle and/or its affiliates. All rights reserved.

Ville de Marseille Employs Big Data Solution for Public Safety • Improve citizen safety by anticipating threats and

limiting risks of accidents• First time in France a Big Data Environment is used

to ensure safety in the city

Why Oracle• Comprehensive and thorough Big Data Solution: Big

Data Appliance, Big Data Discovery, Big Data Connectors

• Ville de Marseille has one of the largest video surveillance systems in France so Oracle addressed their need to analyze all the collected data and correlate it with different data from multiple sources

– second largest city in France –

Confidential – Oracle Internal/Restricted/Highly RestrictedCopyright © 2017, Oracle and/or its affiliates. All rights reserved. |

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. 28

One System to Manage all Emergency Services

• Pull together information from multiple sources including

• Surveillance cameras

• ANPR system

• Police vehicle tracking system

• Automate processing of alerts

• Optimization of resource utilization

• 30% reduction in call handling time

• Elimination of redundant registration of emergency situations

• Guaranteed 24*7 availability of system

Optimize safety by integrating all information in one system City of Izmir



Data Lab To Find Savings and Cost Reductions in Health Care Budget

• United Kingdom’s National Health Service

• Identify billing and identity fraud

• Optimize treatment by reducing use of less effective medical procedures

• Deployed Oracle Advanced Analytics, and Oracle Business Intelligence on Oracle Exadata and Oracle Exalytics

“With one vendor providing the whole solution, it’s very easy for us.”

Nina Monckton, NHS BSA

Fraud Detection, Investigation & Prevention

£750M Confirmed savings identified


Copyright © 2017, Oracle and/or its affiliates. All rights reserved. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |

Agenda






• Next steps

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. Copyright © 2017, Oracle and/or its affiliates. All rights reserved.

COMPUTE STORAGE NETWORKING

DATA MGMT APP DEV INTEGRATION SECURITY ANALYTICS IT OPS MGMTCONTENT &

PROCESS

ERP HR CX EPM DATA SCM INDUSTRY

Oracle Cloud Platform: Complete, Integrated, Open

31


On Premises

Vast majority of Enterprise

workloads are still on premises

Public Cloud


Constraints that Prevent Consumption of Public Cloud

33

DATA SOVEREIGNTY

• Comply with regulatory, legal and privacy requirements

• Sensitive data on premises

• Custom security standards

CONTROL

• Keep control over business-critical systems

• Use your own firewalls, load balancers, hardware VPNs, etc.

• Extremely high SLAs

LATENCY

• Connect with back-end mainframes, databases, ERPs, etc. with near zero latency

• Dedicated infrastructure offers lower latency


Current On-Premises Cloud Offerings

34

Do not solve all of today’s challenges of speed and automation

• Cloud on Premises – same PaaS and IaaS stechnology as public Cloud• Hardware, software and services managed, operated by Oracle• Single vendor accountability• Runs Oracle and non-Oracle workloads

• Cloud Foundry PaaS layer only; no support for services like JCS, ICS• DIY hardware + IaaS, manage, operate• NO single vendor accountability

• DIY hardware, manage, operate• Target primarily Microsoft workloads• NO single vendor accountability

• Only PaaS layer; complex IaaS integration if any• DIY hardware + IaaS, manage, operate

• DIY hardware + IaaS software, manage, operate• Additional work required around OpenStack integration

• DIY hardware + software, manage, operate• Hypervisor-centric management tooling

Commodity + VMware

Commodity + OpenStack

Commodity +Cloud Foundry

Commodity + MicrosoftAzure Pack

IBM BlueMix Local

Oracle Cloud Machine

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. 35

What is an IdealOn-Premises Cloud Solution?

• A self-contained Cloud on premises

• Portability of workload acrosson-premises and public

• Same behavior of applicationon-premises or public

• Single point of accountability

• Delivered and consumed as a service even on premises


Oracle IaaS & PaaS

36

Data Management

PaaS

ManagementApplication

Development

Identity Integration

Content & Process Business Analytics

IaaSNetwork Storage Compute


Oracle Cloud MachineA fundamentally new way of consuming Cloud on premises

37


Oracle Cloud at Customer: Oracle Cloud Behind Your Firewall

38

Complete deployment choice

• Same Oracle Cloud

• Simple subscription (IaaS, PaaS) and Pay-as-You-Go (PaaS) pricing

• Oracle owns hardware and software; manages the platform remotely

• Leave the stack to Oracle. Focus on using the services

• Single vendor handshake

Oracle Data CenterOracle Cloud

Your Data CenterOracle Cloud at Customer

Oracle CloudIaaS | PaaS

• Oracle Cloud Machine• Exadata Cloud Machine• Big Data Cloud Machine


Agenda






• Next steps


Are You Ready For GDPR?

If The Answer is NO, you risk fines up to4% of your total revenues or up to 20 MlEur, whatever is higher


Least Privilege Defence-in-Depth

Oracle Promotes Strong Security Principles

For all your sensitive data including Intellectual Property, Business Information or Personal Information

41


Security By Design


Data Sources Reporting , Self Service, Data Visualization

Mediation Data Integration

EDW

Data Management

Oracle DB

Fast load and query (BD Connectors,

BDSQL)

A State Of The Art Architecture With Unified Integration, Governance, Management and Visualization

Big Data Platform

Oracle Analytics Cloud

Data Analysis

Enterprise Data Quality(Profile, Cleanse, Match and De-duplicate)

Enterprise Metadata Management(Lineage, Impact Analysis and Data Provenance)

Oracle GoldenGate(Data Replication)

Oracle Data Integrator(Data Transformation)Any

Sources (cloud or on prem) Batch and

Streaming


Facilitate GDPR Through Integrated Data ManagementAnd Governance

Oracle Confidential – Internal

Lawfulness, Fairness and Transparency

Purpose Limitation Accuracy Storage Limitation Accountability

Some GDPR Principles From Article 5

Oracle MDM helps to classifydata as part of a global masterdata catalog with unifiedgovernance rules acrossstrucutredandunstructureddata

Oracle Analytics Cloud helps todiscover, identify and transformsensitivedatathatrequiresspecialrightstoaccessandupdate

Oracle MDM identifies andtracks data lineage helping tokeep the data consistent acrossstructured and unstructureddatasets

Oracle Big Data platform is theidealplacetostoredataaslongasit is requiredbytheregulation,atlarge scale and cost effectively.Automated backup, purge andretention rules are applied toremove data recordsautomatically as per retentionrequirements

Compehensive audit trail acrossall of the data lake facilitates thedemonstration of GDPRcompliance on request fromauthorities


Agenda






• Next steps


We Look Forward To Working With You

46

DISCUSSION FOLLOW-UP

Meet with key stakeholders to understand more detailed priorities and needs

RECOMMENDATIONS / ROADMAP

Prepare defined set of Oracle Analytics solution recommendations to address priorities

EXECUTIVE READ-OUT

Present findings and recommendations to key stakeholders

NEXT STEPS

WORKSHOPS

Collaborate with Oracle Analytics team to conduct either Discovery, Innovation Workshops or NEXT program


Analytics Workshop Approaches And Options

Innovation Workshop

Enterprise level, transformational

Multiple lines of business& use cases

Innovation workshop,RoI, blueprint

Single line of business, one/two use-cases

Analytics Quick Start

Discovery & solution workshopsshowcase

Workshop to proposal in 4 weeks

or ...

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. Oracle Confidential – Internal/Restricted/Highly Restricted

48

Oracle Global Leaders Program2017 Winter Meeting, Big Data & Cloud

2017 Autumn Meeting, December 12/13 - Nicosia, Cyprus

The online invitation can be found here.

These two day events are product development led with focus on customer collaboration and having some of them present their projects and use-cases

We already have some of our key customers confirmed to present, like Caixa Bank (ES), Deltalloyd (NL), Deutsche Bank (DE), 11880.com (DE), Cern (CH), final agenda is expected mid of October.

https://globalleadersprogram.github.io/EMEA/Invitation/Oracle_GlobalLeaders_Cyprus_December2017.html

http://11880.com/


Key tekaways

49

- Focus on Data

- All Data Platform Agility- Cloud @ Customer Adoptation- GDPR Security

- Get connected with us!

https://www.linkedin.com/in/slamovits/

why big data and a strong back-end matter - how cloud ... · why big data and a strong back-end...

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