BI Forum 2012 - Integrované systémy

Copyright © 2012, Oracle and/or its affiliates. All rights reserved. Oracle Internal Only 1


Integrované systémy Datové sklady bez rizika Ing. Josef Krejčí Principal Sales Consultant, Engineered Systems


Information Technology Constant Change

1950 2012


New data - New opportunities

New Business Opportunities

Lower cost to store/analyze data New ways to generate data

Presenter

Presentation Notes

NEW WAYS TO GENERATE DATA - We are finding new ways to monitor activities and processes, building new data streams… HIGH VELOCITY DATA FLOWS - These new data streams are increasingly being generated in real-time and they need to be analyzed in real-time to gain maximum benefit… VAST DATA POOLS - new sources are introducing a wide variety of schema-less data streams that need to be mined and analyzed to gain greater insight… ECONOMICS OF ANALYTICS – The total cost of acquiring, organizing and analyzing massive, varied and complex data sets is declining Sensors are cheap and small enough to go anywhere Growing digital ecosystem Every time we perform a search, tweet, send an email, post a blog, comment on one, use a cell phone, shop online, update our profile on a social networking site, use a credit card, or even go to the gym, we leave behind a mountain of data, a digital footprint, that provides a treasure trove of information about our lifestyles, financial activities, health habits, social interactions, and much more.” democratizing Big Data. These include affordable cloud computing storage, open source software for processing large volumes of data, and Big Data sets being made available in the public domain.


MEDIA/ ENTERTAINMENT Viewers / advertising effectiveness

COMMUNICATIONS Location-based advertising

EDUCATION & RESEARCH Experiment sensor analysis

CONSUMER PACKAGED GOODS Sentiment analysis of what’s hot, problems

HEALTH CARE Patient sensors, monitoring, EHRs Quality of care

LIFE SCIENCES Clinical trials Genomics

HIGH TECHNOLOGY / INDUSTRIAL MFG. Mfg quality Warranty analysis

OIL & GAS Drilling exploration sensor analysis

FINANCIAL SERVICES Risk & portfolio analysis New products

AUTOMOTIVE Auto sensors reporting location, problems

RETAIL Consumer sentiment Optimized marketing

LAW ENFORCEMENT & DEFENSE Threat analysis - social media monitoring, photo analysis

TRAVEL & TRANSPORTATION Sensor analysis for optimal traffic flows Customer sentiment

UTILITIES Smart Meter analysis for network capacity,

New data - Use Cases

ON-LINE SERVICES / SOCIAL MEDIA People & career matching Web-site optimization

Challenged by: Data Volume, Velocity, Variety

Presenter

Presentation Notes

Every industry has examples where the improved precision that can be provided with Big Data could be valued. Machines, equipment, people


Pain

Data Center Evolution Convergence

Cure


“By 2015, 35% of total server shipped value will be as integrated systems.”

Gartner Data Center Conference presentation “Will Fabric Computing Change the Concept of the Traditional Server?”, December 2011

Presenter

Presentation Notes

Since then, the integrated systems trend has caught on According to Gartner… (read from slide)


Big Data and Oracle Engineered Systems

Acquire Organize Analyze Decide

Oracle Database

Oracle Business

Intelligence

Oracle Big Data

Connectors Oracle NoSQL DB

HDFS

Hadoop



Pre-built and Optimized Out-of-the-Box

Perf

orm

ance

Ach

ieve

men

t

Perf

orm

ance

Ach

ieve

men

t

Time (Days)

Time (Months)

100%

Measure, diagnose, tune and

reconfigure

Test & debug failure modes

Assemble dozens of

components

Multi-vendor finger

pointing

Custom Configuration


Choice is not Always a Good Thing


Platinum Support for Exadata

24/7 support Specialized Engineered Systems Support Team 2-hour onsite response to hardware issues1 New Updates and Upgrades for Database,

Server, Storage, and OS software My Oracle Support proactive support portal "Phone home" automated service requests (ASR)

Complete. Integrated. Proactive. High Availability. No Additional Cost.

ORACLE PLATINUM SERVICES

Better support for the complete Oracle stack – Includes higher support levels for Database software

Proactive remote monitoring for faults Industry leading service level response times:

– 5 Minute Fault Notification – 15 Minute Restoration or Escalation to Development – 30 Minute Joint Debugging with Development

Oracle Engineers perform quarterly patching and updates

Available for certified configurations on Exadata

1 Covered system must be within an Oracle two-hour service area to receive two-hour response as a standard service.

Presenter

Presentation Notes

Oracle hardware and software are not only engineered to work together, they are engineered to be maintained, updated, and supported together. We are uniquely qualified to provide optimized performance at every level of the integrated stack, delivering the essential services and resources your business needs to maintain high availability, increase operational efficiency, and gain competitive advantage. Oracle Premier Support provides fully integrated system support with a single point of accountability… 24/7 support with access to Engineered Systems experts 2 hour onsite response Updates, upgrades and support for the Oracle operating system, database and integrated server and storage hardware. Access to My Oracle Support portal which contains a 1 million article database and many, many proactive tools to help you keep systems running at peak performance Oracle Automated Service Request – where your system phones home to Oracle to let us know if there is a problem with the hardware …and now, qualifying customers can also receive the enhanced coverage of Oracle Platinum Services for no additional cost. Oracle Platinum Services is a special entitlement under Oracle Premier Support, delivered at no additional cost. It’s exclusively available on Oracle Exadata, Exalogic and SPARC SuperCluster based on certified configurations. It provides 24/7 Oracle remote fault monitoring Backed by extremely fast response times: 5 Minute Fault Notification 15 Minute Restoration or Escalation to Development 30 Minute Joint Debugging with Development And, quarterly patching deployed by Oracle Oracle Platinum Services takes standard support to a whole new level with additional, no cost services targeted to delivering high availability. To learn more about Oracle Platinum Services go to: www.oracle.com/goto/platinumservices

http://www.oracle.com/us/support/library/certified-platinum-configs-1652888.pdf


Global Data Centers

• Global coverage for security & performance • Gen 4 Data Centers • Compliance Certifications • Multi-data center regional coverage • 24X7 Active Monitoring and Support *Coming Soon

Chicago London Linlithgow

Amsterdam

Sydney

Singapore*

Japan*

Toronto

Santa Clara

Austin Oklahoma City


Exadata Storage Hardware


Exadata Architecture Complete Database platform using standard servers for Compute and Storage

Scale-Out Database Servers • 8x 2-socket, or 2x 8-socket Xeon database servers • Oracle Database, ASM, RAC; Linux or Solaris • Standard Ethernet to data center

Scale-Out Intelligent Storage Servers • 2-socket storage servers, Exadata Storage Software • Up to 500 terabytes disk per rack • 56 PCI Flash memory cards per rack

InfiniBand Network • Unified internal connectivity ( 40 Gb/sec )


Exadata Storage Building Block • High-performance storage server built from

industry standard components • 12 disks - 600 GB 15000 RPM High

Performance SAS or 3TB 7200 RPM High Capacity SAS

• 2 Six-Core Intel Xeon Processors (E5-2630L) • Dual ported 40 Gb/sec InfiniBand • 4 x 400 GB Flash Cards • Intelligent Exadata Storage Server Software


Exadata Storage SW Innovations


Exadata Storage Innovations • Intelligent storage

– Scale-out InfiniBand storage – Smart Scan query offload

+ + +

• Hybrid Columnar Compression – 10x compression for warehouses – 15x compression for archives

• Smart PCI Flash Cache – Accelerates random I/O up to 30x – Triples data scan rate

Data remains compressed

for scans and in Flash

Benefits Cascade to Copies

compress

primary DB

standby test dev backup

uncompressed


Exadata Machine Evolution

• Exadata V1 Introduced

• V2 Servers • 40 Gb InfiniBand • PCI Flash Cards

• X2-2 Servers • X2-8 64-core Servers

• Sparc SuperCluster • 3TB Disks

• Smart Flash Cache • Storage Index

• Columnar Compression • Smart Scan • InfiniBand Scaleout

• Enterprise Manager 12c Database to Disk

Management

• Hardware DB Encryption • Automatic Service Request

• Data Mining Offload

• Storage Expansion Rack • X2-8 CPU Refresh

• 2TB DRAM per node

• Solaris x86 • Reverse Offload

• Smart Flash Logging

State-of-the-Art, Scale-out Hardware

Unique Software Integration

2008 2009 2010 2011 2012

• X3-2 • X3-8

X3


Start Small and Grow Field Upgradeable

Unique Architecture Makes it Fastest at the Lowest Cost Half Rack Full Rack Quarter Rack Eighth Rack

Presenter

Presentation Notes

Exadata allows easy expansion within and between racks. A quarter rack can be upgraded to a half rack. A half rack can be upgraded to a full rack. Two half racks can also be connected together to form the equivalent of a full rack. This is sometimes useful in data centers with weight or heat density restrictions. Once a full rack is deployed it can be increased in half rack size increments. For example a full rack grows to 1.5 racks, then to 2 racks, then to 2.5 racks. Equipment can be mixed across hardware generations. For example a half rack can be grown to a full rack using the next generation of servers to fill out the rack.


New Oracle Exadata X3-2 Eighth-Rack

• Lowest Cost Exadata Configuration – Hardware List Price $200K – 16 Database Cores, 54 TB Disk, 2.4 TB PCI Flash – Fault Tolerant Configuration with all Exadata Features

• Capacity Upon Demand – Upgrade to Quarter-Rack with Software Command

Lowest Cost

Faster than 2010 Quarter-Rack, 2008 Half-Rack


Database Machine Capacity (Uncompressed) X3-8 or X3-2

Full X3-2 Half

X3-2 Quarter

X3-2 Eighth

Raw Disk Capacity

High Perf Disk 100 TB 50 TB 21.6 TB 10.8 TB High Cap Disk 504 TB 252 TB 108 TB 54 TB

Raw Flash Capacity1 22.4 TB 11.2 TB 4.8 TB 2.4 TB Usable Mirrored Capacity 1,2

High Perf Disk 45 TB 22.5 TB 9.5 TB 4.5 TB High Cap Disk 224 TB 112 TB 48 TB 23 TB

Usable Triple Mirrored Capacity1,3

High Perf Disk 30 TB 15 TB 6.5 TB 3.25 TB High Cap Disk 150 TB 75 TB 32 TB 16 TB

1- Raw Disk Capacity defined using standard disk drive terminology of 1 TB = 1000 * 1000 * 1000 * 1000 bytes. 2- Capacity calculated using normal space terminology of 1 TB = 1024 * 1024 * 1024 * 1024 bytes. 3 - Actual space available for a database after mirroring (ASM normal redundancy) and allowing one disk (Quarter and Half) or two disks (Full Rack) of free space to automatically remirror after disk failures. 4 - Actual space available for the database computed after triple mirroring (ASM high redundancy).


Database Machine IO Performance X3-2 or X3-8

Full Rack X3-2

Half Rack X3-2

Quarter X3-2

Eighth

Disk Data Bandwidth1,3

High Perf Disk 25 GB/s 12.5 GB/s 5.4 GB/s 2.7 GB/s

High Cap Disk 18 GB/s 9 GB/s 4 GB/s 2 GB/s

Flash Cache Data Bandwidth1,3

High Perf Disk 100 GB/s 50 GB/s 21.5 GB/s 10.7 GB/s

High Cap Disk 93 GB/s 46.5 GB/s 20 GB/s 10 GB/s

Disk IOPS High Perf Disk 50,000 25,000 10,800 5,400

High Cap Disk 28,000 14,000 6,000 3,000

Flash IOPS2,3 8K Reads 1,500,000 750,000 375,000 187,000 8K Writes 1,000,000 500,000 250,000 125,000

Data Load Rate4 16 TB/hr 8 TB/hr 4 TB/hr 2 TB/hr 1 - Bandwidth is peak physical scan bandwidth achieved running SQL, assuming no compression. Effective data bandwidth will be much higher when compression is factored in. 2 - IOPS – Based on read IO requests of size 8K running SQL. Note that the IO size greatly effects flash IOPS. Others quote IOPS based on 2K, 4K or smaller IOs that are not relevant for databases. Exadata Flash read IOPS are so high they are typically limited by database server CPU, not IO. 3- Actual Performance varies by application. 4 – Exadata load rates are typically limited by database server CPU, not IO. Rates vary based on load method, indexes, data types, compression, and partitioning


Exadata X3 | Database In-Memory Machine

• 4th Generation Database Machine

• X3 Database In-Memory Machine

• All Active Data in Memory

• Exadata Database Cloud

• New Entry-level Eighth Rack X3


Customer Use Cases


Oracle Exadata Customers


U.S. Customs and Border Protection

Business Objectives • Reduce cost and complexity • Meet availability SLAs • Extreme scalability • Consolidation

Solution • 2010: Implement V2, X2-2 • 2011: Add X2-2, X2-8 • 2012: Add X2-8, Exalogic

Benefits

“Oracle Exadata has changed our strategic IT focus from building systems to developing and supporting application services critical to the fulfillment of our national security mission.” - Ken Ritchhart, Deputy Assistant Commissioner

Exadata X2-2 Primary /Standby

Exadata X2-8 Primary/Standby

Exadata V2 Primary/Standby

Automated Targeting Systems

Automated Export Systems

Passenger Systems

Enterprise Data Warehouse

2010 2011 - 2012 2010 - 2011

Storage Savings

1 Petabyte

Replaced $$ SAN

Faster Applications

10X speedup

32 billion queries/day

Cost Savings

75% Cost Reduction

Maximum Availability

99.95%

Data Guard Data Guard Data Guard

Presenter

Presentation Notes

The U.S. Customs and Border Protection Agency (CBP) is a division of Homeland Security, chartered with monitoring and protecting the movement of passengers and cargo across the US border. Every time a passenger’s passport is swiped upon entering the country, Exadata is performing that database lookup. The combined activity amounts to over 30 billion database queries per day across dozens of Exadata systems. CBP began their data center conversion to Engineered Systems in 2010, with the purchase of a number of Exadata V2 Database Machines. Their Exadata portfolio as of the Summer of 2012 included more than two dozen V2, X2-2 and X2-8 Database Machines, along with Exalogic systems for application deployment. All production systems are paired with a standby Exadata system using Oracle Data Guard, as CBP must have near 100% availability, due to the time-critical nature of their mission. If a production system is down, goods and passengers may be prohibited from entering or leaving the country. Since converting their main database platforms to Exadata, CBP has reduced their associated capex and opex costs by 75%! Application performance has improved up to 10x, and uptime has averaged close to 100%. Ken Ritchhart, who manages the CBP IT operations, credits Exadata for changing the strategic focus of IT from building systems to developing critical application services.


Turkcell: DW and DB Consolidation

Business Objectives • Speed up BI • Lean, green data center • Prepare for big data growth

Solution • 2010: Replace 11 racks with

1 full-rack Exadata V2 for DW • 2011: Add 2 full-rack Exadata

X2-2s for DB consolidation

2 Exadata X2-2 Prod

Original V2 Prod/DR/Dev

Exadata V2 Data Warehouse

Pre-Exadata Data Warehouse

Hitachi USP-V

5 Racks EMC DMX-4

5 Racks 2011

• 250 TB Raw Data • 2 Prod Databases

• 600 TB Raw / 60 TB Compressed

• 16-node RAC Cluster

• 25 TB Compressed

Benefits Reduced Admin 20%

Storage Savings 900 TB

1,000 TB to 100 TB

Faster Reports

10X

27 min to 3 min (avg for 50k rpts)

“In a word, Oracle Exadata is fantastic. Almost no report takes more than 10 minutes to run, versus hours before. It sounds unreal, but it’s real.” - Power User, Finance Department, Turkcell

80% Less Power 30 m2 Less Space

Data Center Cost Savings

• 4 Prod, 2 Test Databases

• 400 TB Raw/ 40 TB Compressed • 2 RAC Clusters

2010 Backup Restore

Presenter

Presentation Notes

Turkcell is the largest mobile phone operator in Turkey, with twice as many subscribers as the nearest competitor. In 2010, Turkcell’s business intelligence agility was throttled by the performance of its data warehouse platform. Using a large Unix SMP system and 10 racks of high-end storage, the average report took almost 30 minutes to complete, and 50,000 reports were being run monthly. That’s when Turkcell invested in a full rack Exadata Database Machine and, applying Exadata’s hybrid columnar compression, converted a 250 TB data warehouse into a 25 TB compressed data warehouse on Exadata, enjoying a 10x speedup in the average report, which completed in less than 3 minutes. In 2011, Turkcell decided to consolidate more databases onto Exadata, and invested in two full rack Exadata X2-2 systems, holding 600 TB of raw data compressed to 60 TB. The original Exadata system now holds 400 TB of raw data compressed to 40 TB, for a total of 1 Petabyte of raw data on Exadata. In addition to the 10x performance improvement in their reporting, Turkcell freed up 900 TB of tier-1 storage for other uses, reduced overall IT admin costs by 20%, and shrunk the footprint of their data center, including power consumption, by 80%.


Garmin: OLTP Consolidation

Exadata V2 DB Consolidation

Pre-Exadata 12 Prod Servers

2012

• Oracle E-Business Suite • Advanced Supply-Chain

Planning • Hyperion Reporting

• Garmin Connect custom app

Business Objectives • Add fault tolerance • Reduce costs via

standardization • Simplify support model • Performance & Scalability

Solution • 2012: Consolidate 12 servers

onto two Half-rack Exadata V2 systems

Data Guard

Exadata V2 Dev/Test/Local Standby

• 5 Prod Databases

High-Capacity Exadata Storage Servers

• Archived Data

• Tape backup

Benefits 4x Growth Faster

Month End Reports Up to 11X

99.95% Uptime

Data Center Cost Savings

“Oracle Exadata helped us meet our challenges by enabling us to consolidate to a single footprint.” - Ed Link, Vice-President IT, Garmin

Presenter

Presentation Notes

Garmin markets a diverse line of GPS-enabled handheld portable and fix-mounted products for the auto, mobile, outdoor, fitness, marine and aviation markets. Garmin uses a number of Oracle’s packaged applications, including Oracle E-Business Suite, Advanced Supply Chain Planning, and Oracle’s Hyperion for planning and reporting. Garmin also developed a custom application called Garmin Connect for tracking fitness workouts, a popular application with a rapidly growing user population and over 1 million accesses per day. Garmin chose two half-rack Exadata Database Machines in a prod/standby configuration to replace and consolidate 12 separate database servers that were previously on Sparc and Intel architectures. Both Exadata systems were augmented with additional memory expansion kits, and additional Exadata storage was added to the production system. Garmin needed to relieve the pressure on their systems due to inconsistent high-availability configurations and increasing user load. They wanted to simplify their environment by minimizing the number of vendors and systems. From a performance perspective, batch jobs, end of month processing, supply chain planning and MRP jobs were in need of relief, and after consolidating the 12 servers onto Exadata, Garmin experienced 2x to 11x faster month-end reports, and some jobs that ran over 35 minutes previously completed in less than 1 minute on Exadata. Additionally, the Garmin Connect application experienced a 4x increase in the number of page views from customers, reaching 750,000 pages per hour.


P&G: DW and Mixed Workload

Business Objectives • Improve stability and supportability • Lower costs • Boost performance

Solution • 2010: Implement 1ST DW on V2 • 2011: Move 2nd DW to X2-2,

Move OLTP/Analytics to X2-2 • 2012: Move 3rd DW to X2-8

Benefits Simplified Support

Faster Applications

2 - 30X “Performance with Exadata is much better, and getting an out-of-the-box solution dramatically reduced the time and money to build and maintain our DW platform.” - Brian Beckman, DW Platform Manager, Procter & Gamble

Exadata V2 Data Warehouse

Prod Non-Prod

• Trade/Mkt/POS Data

Exadata X2-2 Data Warehouse

Prod DR Dev UAT

• Shipments Data

Exadata X2-8 Data Warehouse

Prod Non-Prod

• Fin’l/Planning Data

Exadata X2-2 OLTP/Analytics

Data Guard

• Trade Fund Management

Storage Savings 3x – 10x

Compression

Prod Non-Prod

Presenter

Presentation Notes

P&G has deployed three models of Exadata Database Machines; V2, X2-2 and X2-8 to support their multiple Data Warehouses and analytics applications. P&G outsources their data centers to HP and Oracle OnDemand remotely monitors and administers their Exadata systems. P&G’s goal with Exadata was to reduce the complexity of multiple vendors that led to higher costs, longer time to resolve support issues, and instability. P&G’s move to Exadata has improved the performance of their Data Warehouse queries, up to 30x faster in some cases, reduced storage consumption due to Oracle’s data compression, and eliminated significant overhead in resolving support issues, since only one vendor is now involved. Since Oracle support now has exactly the same configurations as P&G operates, analyzing issues and performing root cause analysis on problems is straightforward and quick, compared to the customer configurations that preceded Exadata at P&G, which were almost always different than the configurations support had available for diagnostics.


Oracle Beehive: Collaboration

Exadata X2-2 Standby

Exadata X2-2 Production

Exadata V1 Storage Servers

Business Objectives • Company-wide collaboration for

> 100K users • CPU/ storage growth 3+ years • Improved response times • Guarantee uptime

Solution • 2009: Move Beehive storage to

Exadata V1 storage • 2011: Migrate to Exadata X2-2

Austin (Texas) Data Center Utah Data Center

Data Guard 2011

• 9 full-rack X2-2 • 2.3 Petabytes raw disk

• 48 TB flash • > 5,000 peak TPS

• 9 full-rack X2-2 • Triple mirroring

• Disk backups/flashback enabled • 100% uptime since go-live

• 96 V1 storage servers • Post-Sun acquisition,

CPU and disk oversubscribed

Benefits Faster Response 5x – 60x

100% Uptime

Capacity for Growth

“[Beehive] is our largest application in-house. It is Oracle’s largest backend database.” - Campbell Webb, Vice-President IT, Oracle

Presenter

Presentation Notes

Oracle’s own Beehive collaboration application has run on Exadata since it debuted. Oracle Beehive is a centralized collaboration system for all Oracle employees, provided email, messaging, calendar management, conferencing, and document management services. The Exadata V1 storage servers supported Oracle Beehive prior to the Sun acquisition of 30,000 new employees. Due to the increased load after the acquisition of Sun and numerous other companies, the platform was upgraded to the Exadata X2-2 system in the summer of 2011. At that time, 9 full rack Exadata systems were interconnected to support a peak tps of over 5,000 and an average of over 1,500. Because Oracle Beehive is a fundamental system for every Oracle employee, high-availability is paramount, so a remote standby of identical configuration exists to support switchover/failover operations. Since going live, the X2-2 configuration supporting Beehive has been available 100%, and response time for emails and other operations has dramatically improved, by as much as 60x. The combined productivity boost for Oracle’s 100,000+ employees amounts to millions. In addition, the X2-2 configuration was sized to accommodate several years of anticipated growth and acquisitions.


Exadata X2-2 – zákazník v ČR

Profile management (b2c, b2c) incl. powerful data exchange interface

Sophisticated target group management incl. analytic functions

Multi-channel mailing support (E-Mail, SMS, offline)

Mailing edit and test functions

Variety of mailing types (direct, scheduled, event driven, etc.)

Multi-step & multi-channel mailing campaigns

Powerful mail engine farm (120+ mail engines)

Deliverability checks, Spam checks

Delivery rates (E-Mails) 90-99%

Sophisticated reporting (profiles, delivery, responses, etc.)

Mailprofiler Development member of Schober Information Group multi-channel marketing -

Schober integrates online and offline capabilities so that our clients can improve their consumer orientation and the effectiveness of their marketing activities.

campaign and mail delivery solutions – ASP solution developed and operated in Czech Republic by Mailprofiler Development s.r.o. (owned by Schober Information Group)


Mailprofiler Development member of Schober Information Group

faster backups – backup procedures could be simplified and backup time has been reduced by 80%

faster SQL queries – complex queries (such as target groups selections) could be accelerated by 40%-60%, and – as a main improvement - the system allows parallel processing of difficult queries without noticeable effect on the rest of the application

new options in our development – there is more space for data processing (data restructuring, including large temporary files) or for run time analysis of SQL statements, which was previously not possible due to massive impact on the rest of the application

single support contact – one support site for hardware, software and database instead of dealing with several vendors, no management of large inventories of hardware spare parts

Solution and Exadata Experience migration – we could migrate all 3 instances (one

by one) to the new system without any noticeable problems in a time comparable with same migration to another standard Oracle system

setup and operating – the split in system responsibility works exactly as communicated by Oracle – we keep the control on database level while the system level is completely managed by Oracle specialists

system availability – this issue has been solved automatically by internal system architecture, which implements an Oracle cluster with high level of redundancy in all hardware parts

system stability – has been significantly increased, which has significantly reduced our operation costs



Oracle Engineered Systems – Storage for Data

Acquire Organize Analyze Decide

Oracle Database

Oracle Business

Intelligence

Oracle Big Data

Connectors Oracle NoSQL DB

HDFS

Hadoop



SIMPLIFY LIFE


Exadata and USA17 Evolution

• Exadata V1 Introduced

• V2 Servers • 40 Gb InfiniBand • PCI Flash Cards

• X2-2 Servers • X2-8 64-core Servers

• Sparc SuperCluster • 3TB Disks

• Smart Flash Cache • Storage Index

• Columnar Compression • Smart Scan • InfiniBand Scaleout

• Enterprise Manager 12c Database to Disk

Management

• Hardware DB Encryption • Automatic Service Request

• Data Mining Offload

• Storage Expansion Rack • X2-8 CPU Refresh

• 2TB DRAM per node

• Solaris x86 • Reverse Offload

• Smart Flash Logging

State-of-the-Art, Scale-out Hardware

Unique Software Integration

2008 2009 2010 2011 2012

• X3-2 • X3-8




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