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Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Insights into Real World Data Management
Challenges...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Safe Harbor Statement
The following is intended to ...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Agenda
1. Market Opportunity & Data Trends
2. Key C...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
1. Market Opportunity & Data Trends
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Confidential – Oracle Internal/Restricted/Highly Re...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
21.8
Billion $
Big Data in the Public Cloud will gr...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
100%Percentage of enterprises that will
adopt Hadoo...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
86%Percentage of enterprises that use
Kafka as the ...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
17%
Big Data Software CAGR for the
next 10 years
Co...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
“Computing hardware used to be a capital asset, whi...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Now it applies more broadly to high
volume, velocit...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Oracle Confidential
Data Trend: Modern Data Archite...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
2. Key Customer Challenges
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Data
Capital
Digitization
× Datafication
Enterprise...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Big Data Success is Hard
Top
Challenges
Data in Sil...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Make Big Data Success Simple
Complete
Integrated
Pl...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
3. Customer Use Cases & Examples
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
• Native low latency, high performance native
conne...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
• Job scheduling & Job-specific clusters
• REST API...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
• Zeppelin-based notebooks
• Ability to import/expo...
Energy Industry Leader
One of the world's largest providers of products
and services to the energy industry
Migrate
Entire...
Educational Institute
Leverage Big data technologies for research
Use Case
Generate experimental data & prepare for analys...
ISV Solution
Billing platform for better customer service;
simplified management of subscription contracts.
Elasticity
Mig...
Big bank in EMEA
Banker and financial advisor to federal government
Data Lake
Modernize information strategy by maintainin...
Online Retailer
Outdoor sports equipment & apparel online retailer
Consolidate Data warehouse
Offload ETL using modern Big...
Copyright © 2016 Oracle and/or its affiliates. All rights reserved. |
Customer Example: LinkedIn
26
• Needed to sync user ...
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
4. Product Demonstration
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
5. Cloud Platform for Big Data
Copyright © 2016, Oracle and/or its affiliates. All rights reserved. 63
Oracle Cloud Platform
NetworkStorageCompute
Your D...
Copyright © 2016, Oracle and/or its affiliates. All rights reserved. |
Oracle Cloud Platform: Broad, Deep, Integrated
APPL...
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Oracle Big Data Solutions
65
Engineered Systems
Ope...
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Oracle Big Data Cloud Service – Compute Edition
The...
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Big Data – Compute Edition
• Elastic –
– Scale from...
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Cluster in minutes
Spin-up a cluster or expand/shri...
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Oracle Event Hub Cloud Service
The Most Popular Pla...
Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 70
Oracle Event Hub Cloud Service
Key Features
• Ap...
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6. Summary
Developers
developer.oracle.com
Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Confidential – Oracle Internal/Restricted/Highly Re...
Insights into Real-world Data Management Challenges
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Insights into Real-world Data Management Challenges

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Oracle began with the belief that the foundation of IT was managing information. The Oracle Cloud Platform for Big Data is a natural extension of our belief in the power of data. Oracle’s Integrated Cloud is one cloud for the entire business, meeting everyone’s needs. It’s about Connecting people to information through tools which help you combine and aggregate data from any source.
This session will explore how organizations can transition to the cloud by delivering fully managed and elastic Hadoop and Real-time Streaming cloud services to built robust offerings that provide measurable value to the business. We will explore key data management trends and dive deeper into pain points we are hearing about from our customer base.

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Insights into Real-world Data Management Challenges

  1. 1. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Insights into Real World Data Management Challenges Diby Malakar Vice President Product Management Diby.Malakar@oracle.com @diby_malakar
  2. 2. Copyright © 2017, 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. Confidential – Oracle Internal/Restricted/Highly Restricted 2
  3. 3. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Agenda 1. Market Opportunity & Data Trends 2. Key Customer Challenges 3. Customer Use Cases & Examples 4. Product Demonstration 5. Cloud Platform for Big Data 6. Summary Confidential – Oracle Internal/Restricted/Highly Restricted 3
  4. 4. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 1. Market Opportunity & Data Trends
  5. 5. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Confidential – Oracle Internal/Restricted/Highly Restricted 5 Cloud based Big Data solutions will grow 3x to 4.5x faster than On-Premise deployments Source: IDC FutureScape: Worldwide Big Data and Analytics 2016 Predictions Cloud On-Premise Market Opportunity Big Data-On Prem vs. Cloud
  6. 6. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 21.8 Billion $ Big Data in the Public Cloud will grow from 2.1 Billion $ Market in 2016 to 21.8 Billion $ market in 2026 Confidential – Oracle Internal/Restricted/Highly Restricted 6 Source: Big Data in the Public Cloud Forecast, 2016 -2026 Wikibon Market Opportunity Big Data on Public Cloud
  7. 7. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 100%Percentage of enterprises that will adopt Hadoop in the next 24 months Confidential – Oracle Internal/Restricted/Highly Restricted 7 Source: Forrester Wave: Big Data Hadoop Distributions, Q1 2016 Market Opportunity Big Data Enterprise Adoption
  8. 8. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 86%Percentage of enterprises that use Kafka as the message broker for their Fast Data ecosystem Confidential – Oracle Internal/Restricted/Highly Restricted 8 Source: OpsClarity Survey: 2016 State of Fast Data and Streaming Applications Market Opportunity Fast Data Adoptions
  9. 9. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 17% Big Data Software CAGR for the next 10 years Confidential – Oracle Internal/Restricted/Highly Restricted 9 Market Opportunity Source: 2017 - 2027 Wikibon Big Data Forecast
  10. 10. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | “Computing hardware used to be a capital asset, while data wasn’t thought of as an asset in the same way. Now, hardware is becoming a service people buy in real time, and the lasting asset is the data.” – Erik Brynjolfsson, Director, MIT Initiative on the Digital Economy http://www.oracle.com/us/technologies/big-data/rise-of-data- capital-wp-2956272.pdf “The real danger is that the data and analysis becomes worth more more than the installed equipment itself. – Karim R. Lakhani, Professor, Harvard Business school Confidential – Oracle Internal/Restricted/Highly Restricted 10 Data Trend Data is the Single Biggest Asset for Most Companies
  11. 11. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Now it applies more broadly to high volume, velocity, and/or complex data with scale-out commodity hardware and software where the Compute processing comes to the data https://wikibon.com/2017-big-data-and-analytics-forecast-usage-scenarios/ Confidential – Oracle Internal/Restricted/Highly Restricted 11 Data Trend Big data started out as defined by Hadoop
  12. 12. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Oracle Confidential Data Trend: Modern Data Architecture Characteristics Polyglot Fit for Purpose Data Lambda/Kappa Speed Layer Batch Layer Data Sources Data Services Pipelines Data Services Data PipelineData Sources 12
  13. 13. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 2. Key Customer Challenges
  14. 14. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Data Capital Digitization × Datafication Enterprise Productivity Disruptive Technology Doing Big Data Successfully is Hard “Only 27% of respondents described their Big Data initiatives as ‘successful’ and only 8% of respondents described them as ‘very successful.’ In fact, organizations were found to be struggling even with their Proof-of- Concepts (PoCs), with an average success rate of only 38%.” Capgemini Consulting, Cracking the Data Conundrum. 2015
  15. 15. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Big Data Success is Hard Top Challenges Data in Silos, scattered across the enterprise Most data locked up in petrified, difficult to access legacy systems Lack of Big Data and analytics skills No convincing business case for moving further Ineffective alignment of Big Data and analytics teams across the organization Oracle Confidential – Internal/Restricted/Highly Restricted 15 Source: Capgemini Consulting, Cracking the Data Conundrum. 2015 Customer Challenges
  16. 16. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Make Big Data Success Simple Complete Integrated Platform + Business Focus Unified Data Lake Smart Data Movement Managed Service & Analytical Tools Agile & Elastic Cloud Environment Unified Platform for All Users Oracle Confidential – Internal/Restricted/Highly Restricted 16 Oracle’s Big Data Strategy is to help our customers build differentiating Data Capital by making Big Data simpler via a complete platform that productively integrates the best of the new technologies alongside the existing enterprise mission-critical applications and skill sets.
  17. 17. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 3. Customer Use Cases & Examples
  18. 18. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | • Native low latency, high performance native connections to Oracle Event Hub Cloud Service – Lower latency interactions between services • Support for caching layer through Tachyon/Alluxio • Native Integration with the following data stores – Oracle Storage Cloud – Oracle Database Cloud – Oracle MySQL Cloud Oracle Confidential – Internal/Restricted/Highly Restricted 18 High performance Streaming data analysis • Fraud Detection • Clickstream Analysis • Real-time Analytics Use Cases – BDCS-CE and EHCS
  19. 19. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | • Job scheduling & Job-specific clusters • REST APIs to launch Jobs • Client-side CLI • Wide selection of Libraries • Open Source Libraries [ Ex: SparkR, MLib etc. ] • Oracle Provided Libraries [ Ex: Oracle R etc. ] • Bring your own libraries • Predicate, Projection Pushdown into • Object Store • Oracle RDBMS (in-cloud, on-premises) Oracle Confidential – Internal/Restricted/Highly Restricted 19 Batch Jobs – Machine Learning, ETL, Cleansing • Sentiment Analysis • Machine Learning • Customer Segmentation • 360-degree customer view Use Cases – BDCS-CE
  20. 20. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | • Zeppelin-based notebooks • Ability to import/export notes • Support for wide-variety of interpreters – Scala, Python, R , Spark SQL, Hive Oracle Confidential – Internal/Restricted/Highly Restricted 20 Interactive Data Analysis • Model Building • Ad-Hoc Analysis Use Cases – BDCS-CE
  21. 21. Energy Industry Leader One of the world's largest providers of products and services to the energy industry Migrate Entire Big Data on premises foot print to public cloud Solution Oracle Big Data Cloud–CE & Storage Cloud Rapid provisioning & Lower TCO • Significant cost savings in operating expenses • Modernize Big data environment
  22. 22. Educational Institute Leverage Big data technologies for research Use Case Generate experimental data & prepare for analysis Visual analysis for novice users Solution Oracle Big Data Cloud-CE & Storage Cloud Cost Savings & Ease of Use • Start small, elastically Scale • Use only when needed
  23. 23. ISV Solution Billing platform for better customer service; simplified management of subscription contracts. Elasticity Migrate & consolidate on prem platform to Big Data Cloud Start Small, Grow elastically, use only when needed Solution Oracle Big Data Cloud-CE & Storage Cloud Cost Savings • Lowered subscription cost • No admin cost (BDCS-CE managed service)
  24. 24. Big bank in EMEA Banker and financial advisor to federal government Data Lake Modernize information strategy by maintaining customer winnability Solution Oracle Big Data Cloud–CE & Storage Cloud Lower TCO & Integrated Platform • Modernize Information strategy • Significant cost savings in operating expenses
  25. 25. Online Retailer Outdoor sports equipment & apparel online retailer Consolidate Data warehouse Offload ETL using modern Big Data cloud platform Use broader set of data management services Marketing based big data initiative Solution Oracle Big Data Cloud–CE & Storage Cloud Cost Savings • Significant cost savings in operating expenses • Modernize Big data environment
  26. 26. Copyright © 2016 Oracle and/or its affiliates. All rights reserved. | Customer Example: LinkedIn 26 • Needed to sync user profile data across multiple physical locations in real-time as users change their profiles • Database to Database & Database to Kafka • Over 30 transactional databases kept in sync for Active-Active read optimized updates leveraging GoldenGate – 4 way replication: Virginia, Texas, Oregon, Singapore! • Allows load balancing so that user application data is always fresh and analytic data is up to date with most recent user data User Profile Data Distribution Synchronize User Data Across Distributed Data Centers and Big Data
  27. 27. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 4. Product Demonstration
  28. 28. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
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  53. 53. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
  54. 54. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
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  61. 61. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
  62. 62. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 5. Cloud Platform for Big Data
  63. 63. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. 63 Oracle Cloud Platform NetworkStorageCompute Your Data Center Oracle Cloud at Customer Oracle Data Center Oracle Public Cloud IaaS IDENTITY & SECURITY CONTENT & EXPERIENCE ENTERPRISE INTEGRATION DATA INTEGRATION BUSINESS ANALYTICS PaaS Engage Build Integrate Secure Open Hybrid Cloud Comprehensive Integrated IT OPERATIONS MANAGEMENT APPLICATION DEVELOPMENT DATA MANAGEMENT
  64. 64. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Oracle Cloud Platform: Broad, Deep, Integrated APPLICATION DEVELOPMENT IDENTITY & SECURITY CONTENT & EXPERIENCE ENTERPRISE INTEGRATION IT MANAGEMENT DATA INTEGRATION BUSINESS ANALYTICS Engage Build Integrate Secure DATA MANAGEMENT • Database • NoSQL Database • Big Data • Big Data - Compute • MySQL • Database Backup • Event Hub • IT Analytics • Log Analytics • App Performance Monitoring • Infrastructure Monitoring • Orchestration • Identity • Security Monitoring and Analytics • Compliance • CASB • Content and Experience • WebCenter Portal • Social • Java • Application Container • Mobile • Application Builder • Developer • Integration • SOA • Managed File Transfer • Internet of Things • Process • API Platform • GoldenGate • Big Data Preparation • Data Integrator • Analytics Cloud • Data Visualization • Business Intelligence • Big Data Discovery • Essbase
  65. 65. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Oracle Big Data Solutions 65 Engineered Systems Operationalize Your Insight Data Foundation Discovery Lab Data Ingest NoSQL CS Database CS Big Data CS Big Data Discovery CS Big Data Preparation CS Messaging Service IoT CS Mobile CS Golden Gate CS Big Data CS - CE Event Hub CS Infrastructure Bare metal OPC Cloud @ Customer Engineered Systems Exadata CS Big Data Discovery CS Big Picture
  66. 66. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Oracle Big Data Cloud Service – Compute Edition The Gold Standard of Big Data Platforms in the Oracle Cloud – Managed by the Data Experts Oracle Big Data Cloud Service – Compute Edition enables you to rapidly, securely and cost- effectively leverage the power of an elastic, integrated Big Data infrastructure to unlock the value in Big Data.
  67. 67. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Big Data – Compute Edition • Elastic – – Scale from 1 Node to 100s of Nodes – Scale Compute & Storage independently • Managed • Bring your data, bring your code • leave the rest to us • Highly Available • storage cloud as data lake • zero data loss and reduced downtime • Measurable Differentiation • Integrated with the Oracle Database, Data Analytics Stack and Oracle PaaS/SaaS offerings • Single platform for analyzing Big Data and transactional data Overview
  68. 68. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Cluster in minutes Spin-up a cluster or expand/shrink it in minutes In-Memory Optimizations Utilization of Tachyon and other optimizations to deliver better performance for in-memory analytics workloads Engineered for tiered-data storage Optimized to effectively utilize all classes of storage from memory to archival cloud storage to deliver best price-performance Smart Data Movement Ability to filter data at source for RDBMS and Object Store to deliver higher performance through smaller data movement Performant Job-Pipeline Level Isolation Each job-pipeline is completely isolated from other jobs Single-Sign On Integrated with IDCS so users can login through single sign-on Secure Storage Cloud Service Leverage Storage cloud as your data lake. Browse, Upload, Consume files from the Storage Cloud using the inbuilt browser. Database Cloud Service Automatic integration with Oracle and MySQL cloud services through association Event Hub Cloud Service Native access to ensure low latency, high throughput between these services. Integrated BDCS CE - Features * 50 OCPUs include up to 750 GB RAM * 100 OCPUs include up to 1500 GB RAM Fully Managed Use Hadoop without worrying about Cluster set-up, configuration, management Start small and scale Start small, use additional capacity based on workloads without having to scale-up/down manually. Independently Elastic Independently scale compute tier or storage tier. REST APIs REST based API access to all functionality Zero downtime upgrades Tenant controls to set limits on resource consumption Metering & Quota Management Monitor usage and performance metrics Simple
  69. 69. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | Oracle Event Hub Cloud Service The Most Popular Platform for Fast Data on Oracle Cloud - Managed by the data experts Oracle Event Hub Cloud Service enables you to rapidly, securely and cost-effectively operate on Streaming Data by leveraging the World’s Most Popular Message Broker.
  70. 70. Copyright © 2016, Oracle and/or its affiliates. All rights reserved. | 70 Oracle Event Hub Cloud Service Key Features • Apache Kafka delivered as a managed service • Available in dedicated and multi-tenant flavors • Elastic – by the nodes (dedicated), by the partitions (multi-tenant) • On Oracle Public Cloud or On-Premise through Cloud@Customer Measurable Differentiation • Lower latency and Higher throughput than competitors • Open Standards based • Available in the cloud or on-premise Benefits • Real-time Streaming data platform • Easy to use with REST APIs • High-performance Native API support • Lift and shift Kafka workloads from on-premise • Elastic – scale from thousand to millions of events per second • Reliable – Highly available with in-cluster replication and cluster - mirroring
  71. 71. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 6. Summary
  72. 72. Developers developer.oracle.com
  73. 73. Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Confidential – Oracle Internal/Restricted/Highly Restricted 73 cloud.oracle.com/tryit

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