The document discusses how Oracle Database 11g can help lower IT costs through features like grid computing, high availability, storage optimization, and security. It provides examples of how Oracle RAC, Exadata, Automatic Storage Management, compression, and other 11g capabilities allow customers to consolidate servers and storage, improve performance, and reduce costs compared to alternative solutions. Overall the document promotes Oracle Database 11g as enabling lower costs through grid computing, optimized storage, high performance, and security.
Data Bases, Data Warehousing, Data Mining, Decision Support System (DSS), OLAP, OLTP, MOLAP, ROLAP, Data Mart, Meta Data, ETL Process, Drill Up, Roll Down, Slicing, Dicing, Star Schema, SnowFlake Scheme, Dimentional Modelling
Customer migration to azure sql database from on-premises SQL, for a SaaS app...George Walters
Why would someone take a working on-premises SaaS infrastructure, and migrate it to Azure? We review the technology decisions behind this conversion, and business choices behind migrating to Azure. The SQL 2012 infrastructure and application was migrated to PaaS Services. Finally, how would we do this architecture in 2019.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
Azure SQL Database now has a Managed Instance, for near 100% compatibility for lifting-and-shifting applications running on Microsoft SQL Server to Azure. Contact me for more information.
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
Data Bases, Data Warehousing, Data Mining, Decision Support System (DSS), OLAP, OLTP, MOLAP, ROLAP, Data Mart, Meta Data, ETL Process, Drill Up, Roll Down, Slicing, Dicing, Star Schema, SnowFlake Scheme, Dimentional Modelling
Customer migration to azure sql database from on-premises SQL, for a SaaS app...George Walters
Why would someone take a working on-premises SaaS infrastructure, and migrate it to Azure? We review the technology decisions behind this conversion, and business choices behind migrating to Azure. The SQL 2012 infrastructure and application was migrated to PaaS Services. Finally, how would we do this architecture in 2019.
In this presentation, we will do assess the on-premises environment and determining what workloads and databases are ready to make the move and what can you do to improve their Azure readiness while reducing downtime during the migration. Planning and assessment plays a critical role in moving to the cloud. We would see wide range of resources and tools to get an assessment completed with ease while identifying workload dependencies with practical tips and tricks focusing on sizing and costs. And finally, we’ll assess the SQL instances and identify their readiness for Azure as well.
Azure SQL Database now has a Managed Instance, for near 100% compatibility for lifting-and-shifting applications running on Microsoft SQL Server to Azure. Contact me for more information.
Want to see a high-level overview of the products in the Microsoft data platform portfolio in Azure? I’ll cover products in the categories of OLTP, OLAP, data warehouse, storage, data transport, data prep, data lake, IaaS, PaaS, SMP/MPP, NoSQL, Hadoop, open source, reporting, machine learning, and AI. It’s a lot to digest but I’ll categorize the products and discuss their use cases to help you narrow down the best products for the solution you want to build.
Data & Analytics - Session 2 - Introducing Amazon RedshiftAmazon Web Services
Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. This presentation will give an introduction to the service and its pricing before diving into how it delivers fast query performance on data sets ranging from hundreds of gigabytes to a petabyte or more.
Steffen Krause, Technical Evangelist, AWS
Padraic Mulligan, Architect and Lead Developer and Mike McCarthy, CTO, Skillspage
A Tour of Azure SQL Databases (NOVA SQL UG 2020)Timothy McAliley
A Tour of Azure SQL Databases (NOVA SQL UG 2020) - overview of the different deployment options for Azure SQL Database.
More info: www.meetup.com/novasql
Technical session on Databases as Service in Azure
Technical session - Azure SQL DB on Dec 20, 2020
https://youtu.be/Cl4IDpc_0yc
Technical session - 2 on Azure SQL DB - Dec 27, 2020
https://youtu.be/_4lZ54eI3F0
Technical session on Azure Cosmos DB -Dec 27, 2020
https://youtu.be/rtDwX1K_64k
Modern Data Warehousing with the Microsoft Analytics Platform SystemJames Serra
The traditional data warehouse has served us well for many years, but new trends are causing it to break in four different ways: data growth, fast query expectations from users, non-relational/unstructured data, and cloud-born data. How can you prevent this from happening? Enter the modern data warehouse, which is able to handle and excel with these new trends. It handles all types of data (Hadoop), provides a way to easily interface with all these types of data (PolyBase), and can handle “big data” and provide fast queries. Is there one appliance that can support this modern data warehouse? Yes! It is the Analytics Platform System (APS) from Microsoft (formally called Parallel Data Warehouse or PDW) , which is a Massively Parallel Processing (MPP) appliance that has been recently updated (v2 AU1). In this session I will dig into the details of the modern data warehouse and APS. I will give an overview of the APS hardware and software architecture, identify what makes APS different, and demonstrate the increased performance. In addition I will discuss how Hadoop, HDInsight, and PolyBase fit into this new modern data warehouse.
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
Klaus Gottschalk from IBM presented this deck at the 2016 HPC Advisory Council Switzerland Conference.
"Last year IBM together with partners out of the OpenPOWER foundation won two of the multi-year contacts of the US CORAL program. Within these contacts IBM develops an ac- celerated HPC infrastructure and software development ecosystem that will be a major step towards Exascale Computing. We believe that the CORAL roadmap will enable a massive pull for transformation of HPC codes for accelerated systems. The talk will discuss the IBM HPC strategy, explain the OpenPOWER foundation and the show IBM OpenPOWER roadmap for CORAL and beyond."
Watch the video presentation: http://wp.me/p3RLHQ-f9x
Learn more: http://e.huawei.com/us/solutions/business-needs/data-center/high-performance-computing
See more talks from the Switzerland HPC Conference:
http://insidehpc.com/2016-swiss-hpc-conference/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In the past few years, the term "data lake" has leaked into our lexicon. But what exactly IS a data lake? Some IT managers confuse data lakes with data warehouses. Some people think data lakes replace data warehouses. Both of these conclusions are false. Their is room in your data architecture for both data lakes and data warehouses. They both have different use cases and those use cases can be complementary.
Todd Reichmuth, Solutions Engineer with Snowflake Computing, has spent the past 18 years in the world of Data Warehousing and Big Data. He spent that time at Netezza and then later at IBM Data. Earlier in 2018 making the jump to the cloud at Snowflake Computing.
Mike Myer, Sales Director with Snowflake Computing, has spent the past 6 years in the world of Security and looking to drive awareness to better Data Warehousing and Big Data solutions available! Was previously at local tech companies FireMon and Lockpath and decided to join Snowflake due to the disruptive technology that's truly helping folks in the Big Data world on a day to day basis.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
MT42 The impact of high performance Oracle workloads on the evolution of the ...Dell EMC World
Increased data, along with innovations in application development have led to increasing I/O demands, which are not being met by existing architectures. Find out how high performance applications, particularly analytics applications running on a variety of files systems, are being constrained by storage performance and how Dell EMC's broad portfolio of storage infrastructure can meet their extreme performance demands.
Discover how Dell EMC's revolutionary performance can help you streamline and improve the performance of your entire Oracle environment. Performance and cost comparisons will show you how Dell EMC's performance is not just for extreme workloads but can also help you achieve massive consolidation, more simplified data architectures, increased data agility and reduced management overhead.
"
Data driven organizations can be challenged to deliver new and growing business intelligence requirements from existing data warehouse platforms, constrained by lack of scalability and performance. The solution for customers is a data warehouse that scales for real-time demands and uses resources in a more optimized and cost-effective manner. Join Snowflake, AWS and Ask.com to learn how Ask.com enhanced BI service levels and decreased expenses while meeting demand to collect, store and analyze over a terabyte of data per day. Snowflake Computing delivers a fast and flexible elastic data warehouse solution that reduces complexity and overhead, built on top of the elasticity, flexibility, and resiliency of AWS.
Join us to learn:
• Learn how Ask.com eliminates data redundancy, and simplifies and accelerates data load, unload, and administration
• Learn how to support new and fluid data consumption patterns with consistently high performance
• Best practices for scaling high data volume on Amazon EC2 and Amazon S3
Who should attend: CIOs, CTOs, CDOs, Directors of IT, IT Administrators, IT Architects, Data Warehouse Developers, Database Administrators, Business Analysts and Data Architects
RDX takes a deeper look at some of the most popular and interesting features within Azure SQL DB in addition to how the DBaaS platform differs from its on-premises and IaaS counterparts.
The presentation covers a wide range of topics from purchasing and provisioning to geo-replication, sharding and advanced automations. The demo presented by Azure SQL DB Specialist, Jim Donahoe, will provide best practices and educate participants in Azure SQL DB features and the Azure Portal's administration and monitoring interfaces.
Open Source Software on OpenPOWER systems.
With 100% open source system software (including the firmware), OpenPOWER is the most open server architecture in the market. Based on the IBM POWER8 chip, this new family of servers featuring the latest Nvidia NVLink technology runs all the software solutions presented at OPEN'16 with significant cost advantages. This session explains how Docker, EnterpriseDB and many others benefit from this advanced design, and how 200+ technology companies including Google and RackSpace are collaborating in an open development alliance to build the datacenter of the future.
Data & Analytics - Session 2 - Introducing Amazon RedshiftAmazon Web Services
Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. This presentation will give an introduction to the service and its pricing before diving into how it delivers fast query performance on data sets ranging from hundreds of gigabytes to a petabyte or more.
Steffen Krause, Technical Evangelist, AWS
Padraic Mulligan, Architect and Lead Developer and Mike McCarthy, CTO, Skillspage
A Tour of Azure SQL Databases (NOVA SQL UG 2020)Timothy McAliley
A Tour of Azure SQL Databases (NOVA SQL UG 2020) - overview of the different deployment options for Azure SQL Database.
More info: www.meetup.com/novasql
Technical session on Databases as Service in Azure
Technical session - Azure SQL DB on Dec 20, 2020
https://youtu.be/Cl4IDpc_0yc
Technical session - 2 on Azure SQL DB - Dec 27, 2020
https://youtu.be/_4lZ54eI3F0
Technical session on Azure Cosmos DB -Dec 27, 2020
https://youtu.be/rtDwX1K_64k
Modern Data Warehousing with the Microsoft Analytics Platform SystemJames Serra
The traditional data warehouse has served us well for many years, but new trends are causing it to break in four different ways: data growth, fast query expectations from users, non-relational/unstructured data, and cloud-born data. How can you prevent this from happening? Enter the modern data warehouse, which is able to handle and excel with these new trends. It handles all types of data (Hadoop), provides a way to easily interface with all these types of data (PolyBase), and can handle “big data” and provide fast queries. Is there one appliance that can support this modern data warehouse? Yes! It is the Analytics Platform System (APS) from Microsoft (formally called Parallel Data Warehouse or PDW) , which is a Massively Parallel Processing (MPP) appliance that has been recently updated (v2 AU1). In this session I will dig into the details of the modern data warehouse and APS. I will give an overview of the APS hardware and software architecture, identify what makes APS different, and demonstrate the increased performance. In addition I will discuss how Hadoop, HDInsight, and PolyBase fit into this new modern data warehouse.
This presentation is for those of you who are interested in moving your on-prem SQL Server databases and servers to Azure virtual machines (VM’s) in the cloud so you can take advantage of all the benefits of being in the cloud. This is commonly referred to as a “lift and shift” as part of an Infrastructure-as-a-service (IaaS) solution. I will discuss the various Azure VM sizes and options, migration strategies, storage options, high availability (HA) and disaster recovery (DR) solutions, and best practices.
Klaus Gottschalk from IBM presented this deck at the 2016 HPC Advisory Council Switzerland Conference.
"Last year IBM together with partners out of the OpenPOWER foundation won two of the multi-year contacts of the US CORAL program. Within these contacts IBM develops an ac- celerated HPC infrastructure and software development ecosystem that will be a major step towards Exascale Computing. We believe that the CORAL roadmap will enable a massive pull for transformation of HPC codes for accelerated systems. The talk will discuss the IBM HPC strategy, explain the OpenPOWER foundation and the show IBM OpenPOWER roadmap for CORAL and beyond."
Watch the video presentation: http://wp.me/p3RLHQ-f9x
Learn more: http://e.huawei.com/us/solutions/business-needs/data-center/high-performance-computing
See more talks from the Switzerland HPC Conference:
http://insidehpc.com/2016-swiss-hpc-conference/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
In the past few years, the term "data lake" has leaked into our lexicon. But what exactly IS a data lake? Some IT managers confuse data lakes with data warehouses. Some people think data lakes replace data warehouses. Both of these conclusions are false. Their is room in your data architecture for both data lakes and data warehouses. They both have different use cases and those use cases can be complementary.
Todd Reichmuth, Solutions Engineer with Snowflake Computing, has spent the past 18 years in the world of Data Warehousing and Big Data. He spent that time at Netezza and then later at IBM Data. Earlier in 2018 making the jump to the cloud at Snowflake Computing.
Mike Myer, Sales Director with Snowflake Computing, has spent the past 6 years in the world of Security and looking to drive awareness to better Data Warehousing and Big Data solutions available! Was previously at local tech companies FireMon and Lockpath and decided to join Snowflake due to the disruptive technology that's truly helping folks in the Big Data world on a day to day basis.
Azure SQL Database (SQL DB) is a database-as-a-service (DBaaS) that provides nearly full T-SQL compatibility so you can gain tons of benefits for new databases or by moving your existing databases to the cloud. Those benefits include provisioning in minutes, built-in high availability and disaster recovery, predictable performance levels, instant scaling, and reduced overhead. And gone will be the days of getting a call at 3am because of a hardware failure. If you want to make your life easier, this is the presentation for you.
MT42 The impact of high performance Oracle workloads on the evolution of the ...Dell EMC World
Increased data, along with innovations in application development have led to increasing I/O demands, which are not being met by existing architectures. Find out how high performance applications, particularly analytics applications running on a variety of files systems, are being constrained by storage performance and how Dell EMC's broad portfolio of storage infrastructure can meet their extreme performance demands.
Discover how Dell EMC's revolutionary performance can help you streamline and improve the performance of your entire Oracle environment. Performance and cost comparisons will show you how Dell EMC's performance is not just for extreme workloads but can also help you achieve massive consolidation, more simplified data architectures, increased data agility and reduced management overhead.
"
Data driven organizations can be challenged to deliver new and growing business intelligence requirements from existing data warehouse platforms, constrained by lack of scalability and performance. The solution for customers is a data warehouse that scales for real-time demands and uses resources in a more optimized and cost-effective manner. Join Snowflake, AWS and Ask.com to learn how Ask.com enhanced BI service levels and decreased expenses while meeting demand to collect, store and analyze over a terabyte of data per day. Snowflake Computing delivers a fast and flexible elastic data warehouse solution that reduces complexity and overhead, built on top of the elasticity, flexibility, and resiliency of AWS.
Join us to learn:
• Learn how Ask.com eliminates data redundancy, and simplifies and accelerates data load, unload, and administration
• Learn how to support new and fluid data consumption patterns with consistently high performance
• Best practices for scaling high data volume on Amazon EC2 and Amazon S3
Who should attend: CIOs, CTOs, CDOs, Directors of IT, IT Administrators, IT Architects, Data Warehouse Developers, Database Administrators, Business Analysts and Data Architects
RDX takes a deeper look at some of the most popular and interesting features within Azure SQL DB in addition to how the DBaaS platform differs from its on-premises and IaaS counterparts.
The presentation covers a wide range of topics from purchasing and provisioning to geo-replication, sharding and advanced automations. The demo presented by Azure SQL DB Specialist, Jim Donahoe, will provide best practices and educate participants in Azure SQL DB features and the Azure Portal's administration and monitoring interfaces.
Open Source Software on OpenPOWER systems.
With 100% open source system software (including the firmware), OpenPOWER is the most open server architecture in the market. Based on the IBM POWER8 chip, this new family of servers featuring the latest Nvidia NVLink technology runs all the software solutions presented at OPEN'16 with significant cost advantages. This session explains how Docker, EnterpriseDB and many others benefit from this advanced design, and how 200+ technology companies including Google and RackSpace are collaborating in an open development alliance to build the datacenter of the future.
Oracle Data Integrator (ODI) Online Training is providing at Glory IT Technologies. You will learn how to create the ODI topology, design ODI interfaces, packages, procedures and organize ODI models & other objects. Every student will learn how to use manage projects in ODI to develop interfaces and objects. Our ODI Training takes student through some of the more advanced features is used of Oracle Data Integrator.
Oracle Systems Overview
Engineered systems strategy and overview about exadata, exalitics, superCluster, Exalogic, Oracle virtual appliance, ZFS appliance
The Most Trusted In-Memory database in the world- AltibaseAltibase
Life is a database. How you manage data defines business. ALTIBASE HDB with its Hybrid architecture combines the extreme speed of an In-Memory Database with the storage capacity of an On-Disk Database’ in a single unified engine.
ALTIBASE® HDB™ is the only Hybrid DBMS in the industry that combines an in-memory DBMS with an on-disk DBMS, with a single uniform interface, enabling real-time access to large volumes of data, while simplifying and revolutionizing data processing. ALTIBASE XDB is the world’s fastest in-memory DBMS, featuring unprecedented high performance, and supports SQL-99 standard for wide applicability.
Altibase is provider of In-Memory data solutions for real-time access, analysis and distribution of high volumes of data in mission-critical environments.
Please visit our website (www.altibase.com) to learn more about our products and read more about our case studies. Or contact us at info@altibase.com. We look forward to helping you!
Learn more about the tools, techniques and technologies for working productively with data at any scale. This session will introduce the family of data analytics tools on AWS which you can use to collect, compute and collaborate around data, from gigabytes to petabytes. We'll discuss Amazon Elastic MapReduce, Redshift, Hadoop, structured and unstructured data, and the EC2 instance types which enable high performance analytics.
Data Warehouse Modernization - Big Data in the Cloud Success with Qubole on O...Qubole
The effective use of big data is the key to gaining a competitive advantage and outperforming the competition. This change demands that companies consume and blend enormous amount of data created from divergent and inherently mismatched sources, which represents a paradigm shift to the traditional data warehouse.
Companies need to modernize their data warehouse, augmenting it with a platform that allows storage, processing, exploration and analysis of large and diverse datasets without limiting the ability to deliver the data access, and flexibility responding to the needs of the business. That’s where Oracle Cloud and Qubole work together delivering a new breed of data platform —capable of storing and processing the overwhelming amount of data that on-premises big data deployments cannot handle.
Watch this on-demand webinar to understand:
- Why deploying big data on-premises is expensive, complex to maintain and limits your ability to scale across new use cases and data sources
- How Oracle Bare Metal Cloud's predictable and fast performance compute and network services deliver the foundation of a cost-effective, high-performance big data platform
- How Qubole leverages Oracle Bare Metal Cloud to provide a turnkey big data service that optimizes cost, performance, and scale, enabling self-service data exploration.
Qubole delivers a cloud-based, turnkey, self-service big data service that removes the complexity and reduces the cost of doing big data. It leverages Oracle Bare Metal Cloud’s next generation of scalable, inexpensive and performant compute, network and storage public cloud infrastructure to provide a solution that accelerates time to market and reduces the risk of your big data initiatives.
IBM eX5 Workload Optimized x86 ServersCliff Kinard
Learn about how these IBM eX5 servers are purposely built for workloads. This presentation shows how IBM's pre-configured solutions can reduce deployment time from months to weeks while saving clients over $100,000 in installation and setup costs.
Learn about IBM FlashSystem in OLAP Database Environments. IBM FlashSystem storage systems deliver high performance and efficiency in an easy to integrate offering so that businesses can more readily compete in the market.FlashSystem storage systems transform the data center environment and enhance performance and resource consolidation to gain the most from business processes and critical applications. For more information on IBM FlashSystem, visit http://ibm.co/10KodHl.
Visit http://bit.ly/KWh5Dx to 'Follow' the official Twitter handle of IBM India Smarter Computing.
Optimized Systems: Matching technologies for business success.Karl Roche
Tom Rosamilia, General Manager, Power and z Systems, IBM Corporation outlines the way business can optimize it's systems to enhance performance, reduce cost per workload and drive innovation. Presented at the Smarter Computing Executive Summit, 25th May 2011.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
2. “ Our prize for Best Database went to the incomparable Oracle Database 11g, a release with capabilities -- namely Real Application Testing and Active Data Guard -- that DBAs previously could only dream about.” Doug Dineley Executive Editor InfoWorld Test Center
3. Continuous Innovation Exadata Storage Real Application Testing Advanced Compression Automatic Storage Management Transparent Data Encryption Self Managing Database XML Database Oracle Data Guard Real Application Clusters Flashback Query Virtual Private Database Built in Java VM Partitioning Support Built in Messaging Object Relational Support Multimedia Support Data Warehousing Optimizations Parallel Operations Distributed SQL & Transaction Support Cluster and MPP Support Multi-version Read Consistency Client/Server Support Platform Portability Commercial SQL Implementation Oracle 2 Oracle 9 i Oracle 5 Oracle 6 Oracle 7 Oracle 8 Oracle 8 i Oracle 10g Oracle 11g
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6. Consolidate onto the Grid Use low-cost server and storage grids Management Storage Application Servers Database Servers
7. Consolidate on the Grid Oracle’s Grid Computing Architecture Grid Control Automatic Storage Management In-Memory Database Cache Real Application Clusters
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9. Oracle Real Application Clusters Beats SMP Premium, Pay as you Grow Source: Pricing from tpc.org, quoted server costs Year 1 Year 2 Year 3 Year 4 Year 5 IBM Power 595 Server Model 9119-FHA Cost: SMP $12m
10. Oracle Real Application Clusters Beats SMP Premium , Pay as you Grow Source: Pricing from tpc.org, quoted server costs Year 1 Year 2 Year 3 Year 4 Year 5 IBM Power 595 Server Model 9119-FHA Cost: SMP $12m IBM Power 550 Express Model 8204-E8A Cost: Cluster $1.9m $0.9m $0.9 Savings $10.1m $10.4m $9.5m $9.8m $8.8m
11. Best Scalability and Performance Linear scaling across SMP & Clusters Results, as of March 25, 2008, have been certified by SAP AG, www.sap.com/benchmark . World Record SAP SD Benchmark Results Single Node SMP 2 Nodes 3 Nodes 4 Nodes 5 Nodes # of CPU Cores Thousands SD Users 0 5 10 15 20 25 30 35 40 4 8 32 48 64 80
12. “ We’ve been able to save over $5 million dollars a year by re-platforming from our mainframe to Oracle Real Application Clusters.” Eugene Park Senior Director of Platform Services PG&E
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14. German Stock Exchange Missed response time target of 80 milliseconds 0 50 100 150 200 250 300 350 Transaction Time in milliseconds SLA Target < 80ms Trading Day Intervals BEFORE Oracle In-Memory Database Cache
15. German Stock Exchange Meeting response time target of 80 milliseconds 0 50 100 150 200 250 300 350 Transaction Time in milliseconds SLA Target < 80ms Trading Day Intervals AFTER Oracle In-Memory Database Cache
16. Consolidate onto the Grid Use low-cost server and storage grids Management Storage Application Servers Database Servers
17. Consolidate onto the Grid Now available on the cloud Storage Application Servers Database Servers Management
18. How do you get there? Rapid Grid Provisioning Storage Oracle VM Oracle Applications Non-Oracle Applications Non-Oracle Applications Oracle Database Fusion Middleware Enterprise Linux Microsoft Windows Enterprise Linux Enterprise Linux Oracle/Red Hat Linux
19. Storage Costs Keep Growing Data requirements change over time Source: Winter TopTen Survey, Winter Corporation, Waltham MA, 2008. 200 400 600 800 1000 1998 2000 2002 2004 2006 2008 2010 Terabytes of Data Rate of Database Growth Actual Projected
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21. Managing Data Growth Partition for performance, management and cost 5% Active 95% Less Active ORDERS TABLE (7 years) 2003 2008 2009 High End Storage Tier Low End Storage Tier 2-3x less per terabyte
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24. “ One of the large Oracle RAC systems we have is a 16-node system with six storage nodes behind it….the uncompressed data within it is about a fully petabyte worth of data. It's 200 terabytes compressed.” David Apgar Business Continuity Planning High Availability Engineer Yahoo
25. “ Our Chief Financial Officer likes the Advanced Compression option of Oracle Database 11g because with it we won't need anywhere from a third to two thirds of the disks we have right now.” Mike Prince Chief Technology Officer Burlington Coat Factory
26. Traditional High Availability Expensive, idle redundancy Idle Failover Server Veritas Volume Manager EMC SRDF Idle Disaster Recovery Production Server Solaris Cluster HP ServiceGuard IBM HACMP BMC SQL Backtrack
27. Oracle Maximum Availability Architecture Low Cost, Fully Utilized Redundancy Automatic Storage Management Real Application Clusters Secure Backups to Cloud and Tape Active Data Guard On Disk Recovery Area Data Guard
28. “ Oracle Active Data Guard was a quick win. We easily dual-purposed our ten terabyte standby database for both disaster protection and for secure read-only access to our public-facing eCommerce applications.” Sue Merrigan Director, Information Management Intermap Technologies
29. Oracle Maximum Availability Architecture Eliminate the cost of planned downtime Add/Remove Storage Redefine and Reorganize Tables Online Production Testing Add/Remove Nodes and CPUS Undo Human Error Online Upgrades Online Patching
30. “ High availability is absolutely essential for us…we now use Oracle RAC for instance failover, data guard for site failover, ASM to manage our storage, and Oracle clusterware to hang the whole thing together.” Jon Walden Executive Architect Commonwealth Bank of Australia
31. Why Oracle Database 11g? For grid computing, high availability and storage To: From: Low cost consolidated compressed storage Expensive storage silos Low cost clustered servers Expensive SMP Servers Consistent, extreme performance Unpredictable performance Fully utilized redundancy Idle redundancy
32. Distributed Data Marts and Servers Expensive data warehouse architecture Data Marts Data Mining Online Analytics ETL
33. Oracle Database 11g with integrated ETL, Analytics & Data Mining Consolidated Data Warehouse Single source of truth on low cost servers & storage Data Marts Data Mining Online Analytics ETL
34. Data Warehousing Optimizations Working smarter not harder … Data Mining OLAP Cubes Join Indexing Bitmap Indexing B-tree Indexing Partitioning Oracle Database 11g Query Results Cache ETL & Data Quality Key Features
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38. Query Processing: Using Traditional Storage What Were Yesterday’s Sales? SUM Oracle Database Grid Storage Array Retrieve Entire Sales Table Select sum(sales) where salesdate= ‘02-Mar-2009’ …
39. Query Processing: Using HP Oracle Exadata Storage Server What Were Yesterday’s Sales? SUM Oracle Exadata Storage Grid Select sum(sales) where salesdate= ‘02-Mar-2009’ … Retrieve Sales for Mar 02 2009 Oracle Database Grid
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41. “ Oracle Exadata outperforms anything we’ve tested to date by 10 to 15 times. This product flat-out screams .” Walt Litzenberger Director Enterprise Database Systems The CME Group
42. Why Oracle Database 11g? For data warehousing To: From: Integrated BI grid Multiple BI Servers Extreme query performance Performance bottlenecks Single source of truth Distributed data marts Extended deployment time $995,328 Reduced time to deployment
43. How Secure is Your Data? Source: DataLossDB http://datalossdb.org Publicly Reported Data Breaches Millions of Records Lost (millions) 0 50 100 150 200 250 300 350 400 2008 2007 2006 2005
44. Oracle Database Security Auditing and Configuration Scanning Configuration Management Audit Vault Total Recall Monitoring
45. Oracle Database Security Fine Grain Access Control Database Vault Label Security Access Control Configuration Management Audit Vault Total Recall Monitoring
46. Oracle Database Security Data encryption and masking Data Masking Advanced Security Secure Backup Encryption and Masking Database Vault Label Security Access Control Configuration Management Audit Vault Total Recall Monitoring
47. “ It is truly transparent data encryption. Within a matter of a few hours, the basic components were running and available, and we didn’t notice any performance impact.” Sam Lebron Senior Architect Dress Barn
48. Why Oracle Database 11g? For data security & compliance To: From: Authorised access only Unauthorized access Central audit vault Limited audit silos Single integrated solution 3 rd party point solutions Transparent to applications Application changes $995,328
49. Database Management Proactive, Self-Managing Software Database Management Challenge Full Time Employees Information Complexity Self Managing Software
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51. Oracle Database 11g vs Oracle Database 10g Reducing time and complexity even more… 26% less time 31% fewer steps 0% 25% 50% 75% 100% Time Steps Oracle9i Database Oracle Database 10g Oracle Database 11g
52. “ We made a conscious decision to move away from our previous management tool and establish Oracle Grid Control as the standard going forward. Oracle Grid Control has helped us address system management issues proactively, automate previously manual administrative tasks, and reduce the need for extensive DBA training.” Arup Nanda Senior Director Starwood Hotels & Resorts
55. Real Application Testing Workload for 1,000s of Online Users Captured Capture Workload PRODUCTION
56. Real Application Testing Workload for 1,000s of Online Users Replayed Capture Replay PRODUCTION TEST Workload
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58. “ Each Oracle upgrade—from Database 8 through to 8 i , 9 i , 10 g and now 11 g —has increased system performance, stability, and availability, while cutting management overheads, and providing ever-higher levels of service to donors .” Charlotte Melén Web Technology Manager Comic Relief
59. Why Oracle Database 11g? For manageability and change To: From: Proactive forward planning Reactive fire fighting Centralized control Point operations Automated, self management Repetitive manual tasks Service level management $995,328 Unpredictable service levels
60. Is This Your Software Portfolio? Manageability Availability Manageability Security Availability Storage Management
61. Is This Your Software Portfolio? Manageability Availability Manageability Security Availability Storage Management Oracle Clusterware Oracle Real Application Clusters Oracle Secure Backup Oracle Data Guard Flashback Operations Online Operations Automatic Storage Management Automatic Space Management Disk based Backup/Recovery Compression Partitioning Exadata Storage Provisioning Pack Configuration Management Pack Tuning Pack Diagnostic Pack Change Management Pack Fine Grained Access Identity Management Secure Application Roles Transparent Data Encryption Database Vault Audit Vault
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63. “ Oracle (Database 11g, VM, Unbreakable Linux, Enterprise Manager and Business Intelligence) allows us to focus on delivering the best user experience and continue to lower the cost of operations. We owe this in part to the consistent, proven software solutions from Oracle.” Nicholas Tang VP of Technical Operations Interactive One
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65. For More Information http://search.oracle.com or www.oracle.com/database oracle database 11g
Editor's Notes
Reduce capital costs by factor of 5x Reduce storage costs by factor of 4x Improve performance by at least 10x Eliminate redundancy And much more….
SAP Standard Application Benchmarks were developed by SAP AG to provide comparative load analysis of SAP solutions. These results, as of March 25, 2008, have been certified by SAP AG. The SAP certification number for the latest results was not available at press time and can be found at the following Web page: http://www.sap.com/benchmark As of March 25, 2008: 1 The SAP SD-Parallel Standard Application Benchmark performed on November 26, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 37,040 SAP SD-Parallel Benchmark users, 1.86 seconds average dialog response time, 3,749,000 fully processed order line items per hour, 11,247,000 dialog steps per hour, 187,450 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008013 2 The SAP SD-Parallel Standard Application Benchmark performed on November 6, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 36,000 SAP SD-Parallel Benchmark users, 1.76 seconds average dialog response time, 3,673,670 fully processed order line items per hour, 11,021,000 dialog steps per hour, 183,680 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification number: 2007066 3 The SAP certification number for the following 2, 3 and 4-node results was not available at press time and can be found at www.sap.com/benchmark. Four-node Results - The SAP SD-Parallel Standard Application Benchmark performed on November 14, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 30,016 SAP SD-Parallel Benchmark users, 1.86 seconds average dialog response time, 3,036,000 fully processed order line items per hour, 9,018,000 dialog steps per hour, 1151,800 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008012 Three-node Results - The SAP SD-Parallel Standard Application Benchmark performed on November 16, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 22,416 SAP SD-Parallel Benchmark users, 1.94 seconds average dialog response time, 2,252,330 fully processed order line items per hour, 6,757,000 dialog steps per hour, 112,620 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008011 Two-node Results - The SAP SD-Parallel Standard Application Benchmark performed on November 16, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: 15,520 SAP SD-Parallel Benchmark users, 1.94 seconds average dialog response time, 1,559,330 fully processed order line items per hour, 4,678,000 dialog steps per hour, 77,970 SAPS. Server configuration: IBM System p 570, 8 processors/16 cores/32 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 128 GM main memory, running AIX 5L version 5.3, Oracle 10 g Real Application Clusters and SAP ERP 6.0. Certification Number: 2008010 The SAP SD Standard Application Benchmark performed on April 23, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: Number of benchmark users & comp.: 2,035 SD (Sales & Distribution); Average dialog response time: 1.99 seconds; Fully processed order line items/hour: 203,670; Dialog steps/hour: 611,000; SAPS: 10,180; Average database request time (dia/upd): 0.011 sec / 0.015 sec; CPU utilization of central server: 99%; Operating system, central server: AIX 5L 5.3; RDBMS: Oracle Database 10g; SAP Release: SAP ERP 2005. Configuration of central server: IBM System p 570, 2 processors / 4 cores / 8 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 32 GB main memory. . Certification number: 2007037. (2) The SAP SD Standard Application Benchmark performed on April 24, 2007 by IBM in Beaverton, OR, USA has been certified with the following data: Number of benchmark users & comp.: 4,010 SD (Sales & Distribution); Average dialog response time: 1.96 seconds; Fully processed order line items/hour: 402,330; Dialog steps/hour: 1,207,000; SAPS: 20,120; Average database request time (dia/upd): 0.010 sec / 0.014 sec; CPU utilization of central server: 99%; Operating system, central server: AIX 5L 5.3; RDBMS: Oracle Database 10g; SAP Release: SAP ERP 2005. Configuration of central server: IBM System p 570 Model 9117-MMA, 4 processors / 8 cores / 16 threads, POWER6, 4.7 GHz, 128 KB L1 cache and 4 MB L2 cache per core, 32 MB L3 cache per processor, 64 GB main memory. . Certification number: 2007038
Build system image once Database servers Application servers Deploy as required Reduce deployment time
Data growth continues to outpace IT budget growth: Business finds new sources + compliance requires longer retention Data in most databases cannot be segmented by corporate value. Production storage might be duplicated 4X (or more) by standby and DR systems, and the backup process. Storage is becoming the most significant infrastructure cost!
Taken from customer video: http://www.oracle.com/pls/ebn/live_viewer.main?p_direct=yes&p_shows_id=7195528 Date of Quote: September 2008
Recent disasters have renewed interest in HA and DR Cheaper servers and virtualization technology make HA/DR affordable to more applications Global businesses look to eliminate “nightly maintenance windows” Expectations for performance and availability set by “best-in-class” - Amazon, eBay, Google, etc.
Quote: Approved by Sue Merrigan from Joe Meeks ( Director, Product Management for HA solutions at Oracle) Date of Quote: September 2008 Headquartered in Denver, Intermap Technologies is a digital map company creating uniform high-resolution 3D digital models of the earth’s surface. The Company is proactively remapping entire countries and building uniform national databases, called NEXTMap ®, consisting of elevation data and geometric images of unprecedented accuracy to be used within commercial applications such as energy, engineering, personal navigation, wireless communications, and insurance risk assessment, among others. Intermap’s data is stored, managed and secured using Oracle Database 11g and the Oracle Spatial option. Intermap’s multi-terabyte database is protected using Oracle Active Data Guard option that replicates transactions to a mirrored system at their disaster recovery site.
Taken from customer video Date of Quote: September 2008
Data warehousing can be described as driven by four trends today. From a business standpoint, organizations are increasingly competing through the use of analytics. The Harvard Business Review has published several articles regarding this and some widely read books describe how companies that use analytics are outperforming their competitors. The need to manage by fact drives organizations to retain more detailed data over longer histories to resulting in more realistic outcomes and better predictions. Optimized Platforms are increasingly used to eliminate errors in platform configuration procedures. More manageable environments are possible through improved software. Pre-defined data models provide a starting point for a successful deployment. These appear through systems integrators and increasingly as software applications from vendors.
The CME (Chicago Merchantile Exchange) Group is the world's largest future exchange. It provides facilities for electronic trading, clearing, settlement, and deliveries. In 2007, The CME Group traded approximately 2.77 billion contracts with a face value of approximately $1,200 trillion. In order to help users make informed business decisions on trades, quotes and products, The CME Group is dependent on its 15 terabyte Oracle data warehouse which has been experiencing growth rates of 2-300% per year. With this scale of data growth, one of The CME Group’s biggest technical challenges is addressing their query I/O bottlenecks that can limit data warehouse performance and scalability. The CME Group’s 15 terabyte data warehouse runs on a 10-node HP Linux Cluster running Oracle Real Application Clusters attached to 2 HP 9990V storage arrays with a total of 1,280 disks. Benchmarking their data warehouse on a grid of 4 HP Linux servers running Oracle Database 11g and Real Application Clusters attached to 6 HP Oracle Exadata Storage Servers with 72 disks resulted in an average performance improvement of 10-15x. One query that used to take 4 minutes to complete is now completing in 10 seconds, demonstrating both the performance and scalability of Oracle Exadata.
Databases most valuable enterprise assets Digital data explosion: 1800 exabytes by 2011 (IDC) More value requires more security Perimeter security is not enough Insider theft/fraud is top of mind for IT groups Hackers attacking from inside the firewall Regulatory compliance is a critical driver Expanding data privacy and protection laws 90% companies behind (IT Policy Compliance Group) Disclosure laws make data breaches costly “ Right Sourcing” reduces IT costs, but increases need for security and controls Partners implicated in 40% of breaches Off-shoring considerations
Most organizations are 30%* below achievable IT productivity levels because of manual db management 40% of CIOs surveyed cite lack of automation tools* 60%–70% of IT budget is spent on operations and maintenance** * Enterprise Management Associates, 2007 ** CIO Magazine , 2007
Taken from customer snapshot: http://www.oracle.com/customers/snapshots/starwood-hotels-and-resorts-worldwide-snapshot.pdf
Taken from customer snapshot: http://www.oracle.com/customers/snapshots/comic-relief-db-snapshot.pdf Date of Quote: November 2008 Comic Relief Leverages Technology Innovations to Increase Donations Almost 100-Fold in 10 Years Comic Relief is a U.K.-based charitable organization working to end poverty and social injustice by raising funds through the power of entertainment. During Comic Relief’s biennial Red Nose day and sport relief campaigns members of the public get sponsored to raise funds, and donations are pledged via the internet and by telephone during live TV broadcasts. Solution Pursued strategy of leveraging technology advances to increase transaction speed, improve service to donors, drive innovation, and cut IT costs by upgrading to Oracle Database 11 g Processed 100% of donations received during Red Nose Day and sport relief live events using Oracle’s virtualized, grid-based infrastructure Reduced use of third-party vendor tools, skill sets, and costs associated with managing Comic Relief’s infrastructure Maximized resources available for donation processing during live events Used Oracle Database 11 g ’s new automated storage management, disk space compression, and partitioning features to improve information manageability and data retrieval Cut system management overheads with Oracle Database 11 g ’s new integrated, automated workload management capabilities Increased system performance by offloading resource-intensive activities, such as calculating real-time donations total for broadcast during live events, from production database to a synchronized standby site Set to increase online funds raised, from US$800,000 in 1999 to an anticipated US$50 million in 2009
Taken from customer snapshot: http://www.oracle.com/customers/snapshots/interactive-one-db-snapshot.pdf Date of Quote: February 2009