Greenplum User Case
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This document summarizes Pivotal Greenplum's product strategy for enabling use cases in the telecom and internet industries. It discusses how Greenplum provides a production-ready open source data warehouse that can integrate with Hadoop data lakes and run on Kubernetes. Greenplum also offers multi-cloud deployment options and new features like resource groups for multi-tenancy and mixed workloads. The goal is to help customers in telecom and internet with use cases like customer analytics, IoT and network optimization, security monitoring, and financial reporting.
Greenplum User Case
- 1. © Copyright 2017 Pivotal Software, Inc. All rights Reserved. Version 1.0 By Ivan Novick, Pivotal Greenplum Product Manager: March 2018 Internet and Telecom User Cases Leveraging Pivotal Greenplum
- 2. Safe Harbor This presentation contains statements relating to Pivotal’s expectations, projections, beliefs and prospects which are "forward-looking statements” about Pivotal’s future which by their nature are uncertain. Such forward-looking statements are not guarantees of future performance, and you are cautioned not to place undue reliance on these forward-looking statements. Actual results could differ materially from those projected in the forward-looking statements as a result of many factors, including but not limited to: (i) adverse changes in general economic or market conditions; (ii) delays or reductions in information technology spending; (iii) risks associated with managing the growth of Pivotal’s business, including operating costs; (iv) changes to Pivotal’s software business model; (v) competitive factors, including pricing pressures and new product introductions; (vi) Pivotal’s customers' ability to transition to new products and computing strategies such as cloud computing, the uncertainty of customer acceptance of emerging technologies, and rapid technological and market changes; (vii) Pivotal's ability to protect its proprietary technology; (viii) Pivotal’s ability to attract and retain highly qualified employees; (ix) Pivotal’s ability to execute on its plans and strategy; and (x) risks related to data and information security vulnerabilities. All information set forth in this presentation is current as of the date of this presentation. These forward-looking statements are based on current expectations and are subject to uncertainties and changes in condition, significance, value and effect as well as other risks disclosed previously and from time to time in documents filed by Dell Technologies Inc., the parent company of Pivotal, with the U.S. Securities and Exchange Commission. Dell and Pivotal assume no obligation to, and do not currently intend to, update any such forward-looking statements after the date of this presentation. The following is intended to outline the general direction of Pivotal's offerings. It is intended for information purposes only and may not be incorporated into any contract. Any information regarding pre-release of Pivotal offerings, future updates or other planned modifications is subject to ongoing evaluation by Pivotal and is subject to change. This information is provided without warranty or any kind, express or implied, and is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions regarding Pivotal's offerings. These purchasing decisions should only be based on features currently available. The development, release, and timing of any features or functionality described for Pivotal's offerings in this presentation remain at the sole discretion of Pivotal. Pivotal has no obligation to update forward-looking information in this presentation.
- 3. © Copyright 2017 Pivotal Software, Inc. All rights Reserved. Version 1.0 March 2018 Internet Marketing Customer Case Study
- 4. Internet Marketing Customer Profile Billion Dollar Plus Scale Businesses Collect Internet User Usage Data Provide analytics to large 3rd party companies: Automotive, Financial, Government, Pharmaceutical, etc Media Planning, Advertising Analytics, Competitive Insights, Custom Analytics, Brand Management Other Data Sources Social Media TV, Movies Usage
- 5. The Business of Selling Data Internet Data Vendor Use Case Similar Opportunity to Sell Data in other Sectors Finance, Healthcare specializations, etc. Large Growth Opportunity (market not capped) More data can be collected Data can be joined and combined Business limited by capital and human inspiration Data is an Asset Acquire It, Organize it, Curate it, Protect It, Monetize it
- 6. Use Cases Collect Internet and Media Usage Data • Petabyte Scale Audience Profiling • Who are they? What do they buy? • Understand their network? • What devices do they use? • Geography? What if Scenario Services • A/B Hypothesis Test Analysis • Pricing • Advertising Optimization Competitive Intelligence • What is my competitors strategy?
- 7. Why Greenplum Structured AND Unstructured Data Data Curation Step Adds Value To Data Structuring Data Increases Performance Continue to store raw data in S3/HDFS Ability to combine Data Sets and Join with AdHoc Manner World Class SQL: SQL is Flexible and Business Friendly Concurrency and Business Operational Readines of Large Scale RDBMS In Database Analytics (without removing data)
- 8. Business Operational System Management R&D Idea Creation System Large Scale, Raw Data Preserved Allow R&D to Invent new Revenue Sources Create Hypothesis, Develop Code Production Operational Data Warehouse Aggregrated Data Sets Shorter Time Retention Mission Critical Operations Team 24x7 Dual Cluster Client Solutions System Customer Facing Analysts Interactive Ad-Hoc Query Used in Sales ProcessCloud Data Marts Single Customer Specific
- 9. Hadoop and Cloud Integration Internet Data is Huge! Many Petabyte Scale Raw Data is Valuable Need a solution to cheaply archive ALL data Huge Data Requirement: Many PetaByte HDFS and S3 Both Used for Cheap and Deep Smart File Formats like ORC used for optimizations Greenplum External Table for Federated Analytics Storage is important, but not without Query Access Directly Query S3 and HDFS for Ingest or AdHoc Analysis Load and save in optimized RDBMS storage for repeat analysis
- 10. In Database Advanced Analytics Advertising Pricing Optimization R Programming Language User Clustering Unsupervised Machine Learning Buyer Groups Predicative Analytics Advertising Outcome Predictions Machine Learning
- 11. © Copyright 2017 Pivotal Software, Inc. All rights Reserved. Version 1.0 March 2018 Telecom Customer Case Study
- 12. Telecom Customer Profile Mobile Service Provider Landline Service Provider Internet Access Service Provider Responsibilities Maintaining Towers Network Maintaining Backend Data Network Customer Service and Support Sales to Consumers and Business Security of Their Systems and Networks Financial Health of the Business
- 13. Business Analytics Use Cases • Customer Churn Reduction • Grow Revenue Per Customer • Prioritize Maintenance Scheduling • Customer Device Usage Patterns • Fraud Detection, Waste Reduction • Detect Internal Security Anomlies • Detailed Call Data Records • Network utilization and optimization • Many more
- 14. Telecom – Workload Division Raw Data Archive Store raw format for reload and reprocess Know Your Customer Hub Operational System Centered Around Customer IoT Operational Reporting System Sensors and events from physical assets Used for maintenance and operational efficiencies Security Events Hub Identify intrusions or abuse Business & Financial Reporting Maximize company profit
- 15. Know Your Customer Hub Learn Customer Makeup & Preferences Usage Patterns Machine Learning Models for Churn Increase Revenue Per Customer Device Promotions Bandwidth Usage Fraud and Abuse Detection
- 16. IoT Operational System Collect Raw Sensor Data For All Assets Cell Towers, Routers/Switches Vehicles, Heavy Equipment, etc Combine with Asset Meta Data Combine with Asset Maintenance and Repair Data Predictive Maintenance and Maintenance Optimization Models Machine Learning Aggregate Data for Trending & Reporting & Dashboarding
- 17. Security Events Hub Internal Security Threats Anomalous Behavior Detection Restricted Computer Access Restricted Physical Resource Access Advanced Persistent Threats Hackers Intrusion Detection Systems Already Compromised! Can be detected by data patterns Graph Analytics and Machine Learning
- 18. Financial & Business Data Pricing Optimization, What if Scenarios Sales results, market share, Competition Advertising Self and Competitor Growth, shrinkage of customers Trending Demand forecasting What if scenarios on capacity increases
- 19. Command & Control Center Single Pane of Glass Operational War Room Team Can Monitor All Operational Business Aspects Drill Through Interrogation to Backing Data Actionable Interfaces
- 20. © Copyright 2017 Pivotal Software, Inc. All rights Reserved. Version 1.0 March 2018 Pivotal Greenplum Product Strategy Enabling Telecom & Internet Business
- 21. Greenplum Open Source Strategy • Only Production Ready OSS Data Warehouse OLAP RDBMS • Align w/ PostgreSQL Functionality & Implementation • Decade+ MPP Experience • Continue to invest from Pivotal, large R&D and global install base
- 22. Greenplum Multi-Cloud Strategy • Greenplum Anywhere • Public Clouds: AWS, Azure, Google, Alibaba • VMware Based Solutions • Generic Bare Metal Offering • Dell Technologies Hardware Options
- 23. Greenplum Kubernetes Strategy • OSS Container RunTime Open, Portable, Performant, Scalable, Secure • Developed @ Google • World Wide Popular OSS Project • Massive Pivotal & VMware Partnership
- 24. Greenplum Data Lake Ecosystem Integration MPP Architecture with Segment Parallel Data Access roadmap GP STREAM SERVER
- 25. SQL Containerization: Greenplum Resource Groups GOALS ● Resource isolation for multi-tenancy and mixed workloads ● Enhances stability and manageability of Greenplum CAPABILITIES ● Leverages Linux Cgroups for implementation ● Specify CPU Max Per Group ● Burst Above Max Limit if available ● Specify Max Memory Per Group And Memory Per Query ● Specify Max Concurrency Per Group ● Transaction scope not Statement scope
- 26. Transforming How The World Builds Software © Copyright 2017 Pivotal Software, Inc. All rights Reserved.