oracle data warehouse strategic update ray roccaforte

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Oracle Data Warehouse Strategic UpdateRay Roccaforte

Oracle World 2010

Oracle Data Warehouse Strategic Update

Ray Roccaforte

Vice President, Data Warehouse and Analytic Technology

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.

Four Pillars of Oracle’s DW Strategy

• Oracle as a Systems Provider: Database Machine• Maximum Leverage of Massive Hardware Capabilities• Embedded Analytics• Oracle as a DW Solutions Provider:

• Exadata Intelligent Warehouse for Industries


Oracle as a Systems Provider: Database Machine• Maximum Leverage of Massive Hardware Capabilities• Embedded Analytics• Oracle as a DW Solutions Provider:


6

Sun Oracle Database Machine

• Database Machine eliminates the complexity of deploying database systems

• Balanced configuration• Extreme performance and integrated analytics out of the box

• Deploys in days rather than months• Pre-built, tested, standard, supportable configuration• Includes Hardware Installation & Site Planning• Software Configuration

Exadata Hardware Architecture

Database Grid• 8 compute servers (1U)

Storage Grid

• 14 storage servers (2U)

• 100 TB High Speed disk, or336 TB High Capacity disk

• 5 TB PCI Flash

• Data mirrored across storage servers

Scaleable Grid of industry standard servers for Compute and Storage

InfiniBand Network• Redundant 40Gb/s switches

• Unified server & storage net

© 2010 Oracle Corporation 7

New Exadata X2-8

• Full Rack Database Machine for large deployments • Consolidation, or Large OLTP and DW workloads• Complements existing X2-2

• 2 8-socket Intel EX servers (Sun Fire X4800)• Doubles Database CPU cores to 128• Quadruples Database Memory to 2TB• Oracle Solaris or Oracle Enterprise Linux• 10GB Ethernet connectivity to Data Center

• Same 14 storage servers, and InfiniBand Network• New Intel 6-core CPUs in Storage Servers

8© 2010 Oracle Corporation


• Oracle as a Systems Provider: Database MachineMaximum Leverage of Massive Hardware Capabilities• Embedded Analytics• Oracle as a DW Solutions Provider:


1010

Exadata Hybrid Columnar Compression

• Data is grouped by columnand then compressed

• Query Mode for data warehousing

• Optimized for speed

• 10X compression typical • Scans improve proportionally

• Archival Mode for infrequently accessed data

• Optimized to reduce space• 15X compression is typical• Up to 50X for some data

11

• Sun Oracle Database Machine provides semiconductor cache hierarchy

Sun Oracle Database Machine:Faster raw scans

Exadata disks100TB raw disk capacity21 GB/sec

Exadata Smart Flash Cache5TB raw capacity – up to 50TB user data50 GB/sec

Database DRAM Cache400GB raw capacity – up to 4TB user data100 GB/sec

12

In-Memory Parallel Execution

• Parallel query processing across tables which are cached in memory

• How it works:• Oracle determines appropriate tables for caching• Tables are distributed across the buffer cache in all nodes• During queries, each node reads its local portion of the table

• Full parallel bandwidth accessing data in memory• Not every database objects in a query must be in memory to

leverage in-memory access

12

Exadata Flash Cache

• Exadata has 5 TB of Flash: 56 Flash Cards avoid disk controller bottlenecks

• Automatically caches frequently-accessed ‘hot’ data in flash storage

• Intelligently manages Flash: Gives speed of Flash at cost of disk

• Exadata Flash Cache achieves: Over 1 million IO/sec from SQL (8K), Sub-millisecond response times with 50 GB/sec query throughput

Infrequently Used Data

Frequently Used Data

1414

Scanning from Disk: Exadata Smart Scan

• Exadata storage servers implement data intensive processing in storage

• Row filtering based on “where” predicate• Column filtering• Join filtering• Incremental backup filtering• Scans on Hybrid Columnar Compressed data• Scans on encrypted data• Data Mining model scoring

• 10x reduction in data sent to DB servers is common

• No application changes needed• Processing is automatic and transparent• Even if cell or disk fails during a query


• Oracle as a Systems Provider: Database Machine• Maximum Leverage of Massive Hardware CapabilitiesEmbedded Analytics• Oracle as a DW Solutions Provider:


Oracle In-Database Analytics

Oracle In-Database Analytics

• Analytics evaluated “close” to the data

• Integrated• Secure

Oracle Data Mining: Uncover & Predict

• Advanced Predictive Analytics

• Advanced Algorithms• Embedded and

Integrated

Oracle OLAP: Analyze & Summarize

• Smarter, Faster BI• Improved Developer

Productivity• Embedded and

Integrated

In-Database Data MiningExadata Smart Scan

• Model scoring performed in the Exadata Storage Server

• Dramatic (2-5X)

performance improvements

SELECT cust_id from customers

WHERE region = ‘US’ AND prediction_probability(churnmod, ‘Y’, using *) > 0.8;

Exadata Integration with SAS

• Score SAS Models in Exadata• Import SAS models (via PMML) to

Oracle Data Mining• Logistic and Multiple Regression

models available today

• High-performance scoring in Exadata• Score directly against database tables• Model scoring is executed in storage

tier using native Oracle DM capabilities

+

Oracle OLAP

• Rapid Development of rich dimensional analytics• Enhances the analytic content of Business intelligence application• Excellent query performance for ad-hoc / unpredictable query• Fast, incremental updates of data sets

• Embedded in the Oracle database instance and storage.• Safe, secure and manageable

• Benefits from and enhances Exadata architecture• Automatically gets full benefit of Database Machine Flash Cache• OLAP query I/O tends to be high volume, random reads

Oracle OLAP 11g Rich Calculations Delivered to SQL-Based BI Tools

OLAP MDX driver from Simba for MS Excel

© 2009 Oracle Corporation

MDX ParserMDX Provider Engine

SQL Generator

MDX ParserMDX Provider Engine

SQL Generator

SQL Query of Cube

Excel MDX Query

MDX Provider for Oracle OLAP

Excel 2010

Excel 2003


• Oracle as a Systems Provider: Database Machine• Maximum Leverage of Massive Hardware Capabilities• Embedded AnalyticsOracle as a DW Solutions Provider:


• Intelligence– Industry-specific data models

– Packaged advanced analytics

• ... with Extreme Performance– Improve query performance 10-100x

with Exadata

• … at a Lower Cost– Simplify your infrastructure

• … for Fast Results – Jumpstart development - deliver

value quickly

– Automatically exploit Oracle performance and analytic capabilities

Exadata Intelligent Warehouse for IndustriesA Complete Data Warehouse Solution for Industries

Exadata Intelligent Warehouse Solution for IndustriesPackaged Experience and Technology

• Leverage enterprise-wide data model for industries

• Gain insights using prepackaged advanced analytics

• Leverage enterprise-wide data model for industries


Business Insight

• Improve query performance 10 -100x

• Grow solution to virtually any scale



Extreme Performance

• Jumpstart development and deliver value quickly

• Lower risks


• Lower risks

FastTime-to-Value

Exadata Intelligent Warehouse for RetailPackaged Experience and Technology

Copyright © 2010, Oracle and / or its affiliates. All rights reserved.





Extreme Performance


• Lower risks


• Lower risksFast Results

• Leverage enterprise data model for retail




Business Insight





Business Insight

Challenges We’re Hearing from Retailers

• Forecast demand and inventory levels for better in-stock positions

• Apply business intelligence behind every planning decision

ReduceStock-outs

• Differentiate store assortments by customer profile of store locations

• Unlock trends hidden in transaction data

• Provide the right products all the time

Improve Margins With LocalizedAssortments

• Determine customer segments

• Perform Market Basket analysis

• Target promotions to enhance loyalty

IncreaseShare of Wallet

• Track key metrics for efficient store management

• Optimize store staffing levels

• Monitor shelf availability

Improve In-store

Execution

Exadata Intelligent Warehouse for RetailConsolidated View of the Entire Business

Oracle Retail Data Model

Oracle Retail Data Model

• POS• Order Mgmt• Workforce

Scheduling

Sell Side• PO Mgmt• Warehouse• Pricing• Costing

Buy Side

• HR• Finance• Sales Forecasting

Inside• Partners• Suppliers• Distributors

Outside

1200+ Industry-specific Measures & KPIs

Interactive Dashboards and ReportsEmpowering End Users

Anticipate out-of-stock using statistical forecasts

Example Analytics: Retail

Associate products using a market basket analysis

Analyze store traffic and shopper conversion rates by time of day

Understand effectiveness of promotions by store

Analyze comparative store performance over time

29Copyright © 2010, Oracle and / or its affiliates. All rights reserved.

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Exadata Intelligent Warehouse for Communications

Same idea, but specific to Communications industry

Interactive Dashboards and ReportsEmpowering End Users

Identify customers that are likely to churn

Example Analyses: Communications

Monitor dropped call rate over time to detect failing network elements

Compare billed and actual CDRs to identify billing errors

Analyze sales growth over time by product and organization

31Copyright © 2010, Oracle and / or its affiliates. All rights reserved.

Exadata Intelligent WarehousePackaged Experience and Technology

Copyright © 2010, Oracle and / or its affiliates. All rights reserved.





Extreme Performance


• Lower risks


• Lower risksFast Results

• Leverage enterprise data model for Industries


• Leverage enterprise data model for Industries


Business Insight

Custom SolutionsKey Implementation Tasks

Challenges:

• Design a data model that satisfies existing and future requirements

• Employ a diverse skill set

• Integrate, implement, administer and tune disparate technologies

Marty

Missing ETL - an expensive task...Workload Optimization

Exadata Intelligent WarehouseBest Practice Implementation

Complete. Fast Results. Lower Risk.

Benefits:

• Utilize an enterprise data model for retail

• Leverage your existing Oracle expertise

• Implemented using Oracle data warehousing best practices

Fast ResultsRetail Performance Metrics and Insight out of the box

Speed to Value, Simplified Deployment with predictable cost

Build from Scratch withBest of Breed Approach

Oracle Exadata Intelligent Warehouse

weeks or monthsmonths or years

Sizing and Configuration

Define Metrics & Dashboards

Training & Roll-out

Data Integration

Data Integration

Sizing and Configuration

Analysis and Design Define Metrics & Dashboards

Analysis and Design

Training & Roll-out

Training & Roll-out

Exadata Intelligent Warehouse Solution for IndustriesPackaged Experience and Technology

Business Insight

Extreme Performance

Fast Time-to-Value

Summary: Oracle’s DW Strategy

• Oracle as a Systems Provider: Database Machine• Maximum Leverage of Massive Hardware Capabilities• Embedded Analytics• Oracle as a DW Solutions Provider:


oracle data warehouse strategic update ray roccaforte

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