The document discusses the components and architecture of data warehouses and data marts. It describes how a data warehouse collects data from multiple operational systems and makes it available for analysis. Data marts contain subsets of data tailored for specific business functions or departments. The document outlines different types of data warehouse architectures including virtual, coarse-grained, central, distributed, and data marts-only. It also discusses challenges like integrating dirty data from multiple sources and prerequisites for a successful data warehouse implementation.
Disaster Recovery for the Real-Time Data Warehousestervela
More and more, front-line business operations depend on data warehouses and real-time analysis. Decisions are driven by data that’s captured from all over the enterprise, helping companies like yours compete more fiercely in crowded marketplaces.
But are your disaster recovery policies keeping up with the changing role of your real-time data warehouse? The sheer volume of data and the rate at which it changes makes traditional backup and restore practices unworkable – so, what techniques do work?
In these slides, you will learn how to construct disaster recovery procedures that fit your 24-7, up-all-the-time data warehouse
Disaster Recovery for the Real-Time Data Warehousestervela
More and more, front-line business operations depend on data warehouses and real-time analysis. Decisions are driven by data that’s captured from all over the enterprise, helping companies like yours compete more fiercely in crowded marketplaces.
But are your disaster recovery policies keeping up with the changing role of your real-time data warehouse? The sheer volume of data and the rate at which it changes makes traditional backup and restore practices unworkable – so, what techniques do work?
In these slides, you will learn how to construct disaster recovery procedures that fit your 24-7, up-all-the-time data warehouse
SoftLayer provides global, on-demand data center and hosting services from facilities across the U.S. We leverage best-in-class connectivity and technology to innovate industry leading, fully automated solutions that empower enterprises with complete access, control, security, and scalability.
SoftLayer provides global, on-demand data center and hosting services from facilities across the U.S. We leverage best-in-class connectivity and technology to innovate industry leading, fully automated solutions that empower enterprises with complete access, control, security, and scalability.
Database Architechs is a database-focused consulting company for 17 years bringing you the most skilled and experienced data and database experts with a wide variety of service offering covering all database and data related aspects.
ECR Europe Forum '05. Get Your Basics Right Global Data SynchronisationECR Community
Get your basics right: Global Data Synchronisation:
It does not matter which value chain process you want to improve, having quality data throughout the supply chain is fundamental as soon as you start using computer systems to help manage them. Implementing Global Data Synchronisation (GDS) in this context can be a major plus. Based on the experience of its member companies, the Global Commerce Initiative will demonstrate how to implement GDS in a collaborative, efficient and standards-based way. The focus will be on information quality and how to get GDS up and running in your company.
Speakers:
Nigel Bagley, Unilever
Kees Jacobs, Capgemini
David Timberlake, ACNielsen
Ruud van der Pluijm, Ahold
Facilitated by
the Global Commerce Initiative (GCI)
Couchbase Server and IBM BigInsights: One + One = ThreeDipti Borkar
Session presented at CouchConf San Francisco
http://www.couchbase.com/couchconf-san-francisco
Frequently the terms NoSQL and Big Data are used as synonyms. While both technologies divert from the traditional RDBMS data model and spread data across clusters of servers, the “problems” these technologies address are quite different. Hadoop, is focused on data analysis – gleaning insights from large volumes of data. NoSQL databases, focus on interactive applications – delivering high-performance, cost-effective data management for massive number of users. In this session, we share how IBM BigInsights and Couchbase Server can used together to build better applications.
NoSQL Databases for Implementing Data Services – Should I Care?Guido Schmutz
Traditionally the data services in a service-oriented solution have been/are implemented using relational data technologies. For lot of scenarios, this might be the best choice. On the other hand there are other use cases, where an alternative storage mechanism , such as a NoSQL database, might help to solve the problem more easily or in a more scalable way, i.e. using a different storage model.
HCLT Whitepaper: Thermal Design and Management of ServersHCL Technologies
In today’s digital age of rapid knowledge development, an enormous amount of information is being generated every day across the world. This data needs to be stored, processed and secured so the user can access this data quickly. Servers play a major role in this type of data-intensive business applications. The advancements in
hardware, software and miniaturization technologies, along with the information evolution, has led to a vast increase in servers power
densities and computing power. To improve the reliability and to enhance performance, thermal management needs to be performed
in servers by removing the heat generated by the devices. This paper focuses on the role of thermal management of servers in data centers and green data centers. It also investigates the challenges
faced in thermal design and management of servers. The emerging cooling technologies which have evolved over the years in the server
industry will be discussed. Case studies on thermal management of servers will be presented
SoftLayer provides global, on-demand data center and hosting services from facilities across the U.S. We leverage best-in-class connectivity and technology to innovate industry leading, fully automated solutions that empower enterprises with complete access, control, security, and scalability.
SoftLayer provides global, on-demand data center and hosting services from facilities across the U.S. We leverage best-in-class connectivity and technology to innovate industry leading, fully automated solutions that empower enterprises with complete access, control, security, and scalability.
Database Architechs is a database-focused consulting company for 17 years bringing you the most skilled and experienced data and database experts with a wide variety of service offering covering all database and data related aspects.
ECR Europe Forum '05. Get Your Basics Right Global Data SynchronisationECR Community
Get your basics right: Global Data Synchronisation:
It does not matter which value chain process you want to improve, having quality data throughout the supply chain is fundamental as soon as you start using computer systems to help manage them. Implementing Global Data Synchronisation (GDS) in this context can be a major plus. Based on the experience of its member companies, the Global Commerce Initiative will demonstrate how to implement GDS in a collaborative, efficient and standards-based way. The focus will be on information quality and how to get GDS up and running in your company.
Speakers:
Nigel Bagley, Unilever
Kees Jacobs, Capgemini
David Timberlake, ACNielsen
Ruud van der Pluijm, Ahold
Facilitated by
the Global Commerce Initiative (GCI)
Couchbase Server and IBM BigInsights: One + One = ThreeDipti Borkar
Session presented at CouchConf San Francisco
http://www.couchbase.com/couchconf-san-francisco
Frequently the terms NoSQL and Big Data are used as synonyms. While both technologies divert from the traditional RDBMS data model and spread data across clusters of servers, the “problems” these technologies address are quite different. Hadoop, is focused on data analysis – gleaning insights from large volumes of data. NoSQL databases, focus on interactive applications – delivering high-performance, cost-effective data management for massive number of users. In this session, we share how IBM BigInsights and Couchbase Server can used together to build better applications.
NoSQL Databases for Implementing Data Services – Should I Care?Guido Schmutz
Traditionally the data services in a service-oriented solution have been/are implemented using relational data technologies. For lot of scenarios, this might be the best choice. On the other hand there are other use cases, where an alternative storage mechanism , such as a NoSQL database, might help to solve the problem more easily or in a more scalable way, i.e. using a different storage model.
HCLT Whitepaper: Thermal Design and Management of ServersHCL Technologies
In today’s digital age of rapid knowledge development, an enormous amount of information is being generated every day across the world. This data needs to be stored, processed and secured so the user can access this data quickly. Servers play a major role in this type of data-intensive business applications. The advancements in
hardware, software and miniaturization technologies, along with the information evolution, has led to a vast increase in servers power
densities and computing power. To improve the reliability and to enhance performance, thermal management needs to be performed
in servers by removing the heat generated by the devices. This paper focuses on the role of thermal management of servers in data centers and green data centers. It also investigates the challenges
faced in thermal design and management of servers. The emerging cooling technologies which have evolved over the years in the server
industry will be discussed. Case studies on thermal management of servers will be presented
Hadoop, Big Data, and the Future of the Enterprise Data Warehousetervela
Under the umbrella of big data, the nature of data warehousing inside enterprises is undergoing a massive transformation. Originally designed as a clearinghouse for organizing data to discover and analyze historical trends, business units are now putting extreme pressure on their data groups to enhance their services. Their goals: provide better customer service, real-time marketing, and more efficient business operations.
In this webcast, Big Data expert Barry Thompson will discuss how will enterprise data warehouses are evolving to meet these challenges. Some of the topics we will cover include:
- How Hadoop and other big data technologies are coexisting with traditional data warehouses
- Dealing with multiple big data sources – and multiple versions of the truth
- Techniques like warehouse replication and parallel data loading that enable platforms with different levels of service for different types of applications
With DataPortal Business Data Sharing Software, business data can be shared with hundreds of partners within minutes, with “Point-and-Click” ease.
No development, works across database vendors, minimal setup and configuration, (no cost, no manual installation for client), SSL encryption, no firewall modification, no unnecessary conversion (e.g. XML).
HP Microsoft SQL Server Data Management SolutionsEduardo Castro
In this presentation was used in the MSDN WebCast and we cover some details about the hardware offerings to run SQL Server DataWarehouse, some detail about HP Hardware is shown.
Best Regards,
Ing. Eduardo Castro Martinez
http://ecastrom.blogspot.com
Big Data, Big Content, and Aligning Your Storage StrategyHitachi Vantara
Fred Oh's presentation for SNW Spring, Monday 4/2/12, 1:00–1:45PM
Unstructured data growth is in an explosive state, and has no signs of slowing down. Costs continue to rise along with new regulations mandating longer data retention. Moreover, disparate silos, multivendor storage assets and less than optimal use of existing assets have all contributed to ‘accidental architectures.’ And while they can be key drivers for organizations to explore incremental, innovative solutions to their data challenges, they may provide only short-term gain. Join us for this session as we outline the business benefits of a truly unified, integrated platform to manage all block, file and object data that allows enterprises can make the most out of their storage resources. We explore the benefits of an integrated approach to multiprotocol file sharing, intelligent file tiering, federated search and active archiving; how to simplify and reduce the need for backup without the risk of losing availability; and the economic benefits of an integrated architecture approach that leads to lowering TCSO by 35% or more.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
6. Operational vs. Informational
Systems
• Most of the advances in end-user programming have run into
difficulty in actually accessing data that exists in backbone,
operational data bases.
• Operational data bases have a very, very long life. Large operational
systems are converted from one technology to a more advanced one
very infrequently (typically every eight to twenty years).
• Therefore, why not create specific DBs whose role was to make large
scale end user access easy to isolate the operational DBs, i.e. a Data
Warehouse
8. Operational vs. Informational
Systems
Operational
Systems
Data
Information
Warehouse
Delivery System
Informational
Systems
9. Operational vs. Informational
Systems
Operational
Systems
Data
Information
Warehouse
Delivery System
Informational
Systems
10. Operational vs. Informational
Systems
Operational
Systems
Data
Information
Warehouse
Delivery System
Informational
Systems
11. Operational vs. Informational
Systems
Notice that one of the big impacts of
Operational
Data Warehousing is to eliminate large
Systems
numbers of existing DSS systems!
Y2000 will make this essential!!!
Data
Information
Warehouse
Delivery System
Informational
Systems
12. Operational vs. Informational
Systems
Operational
Systems
Data
Information
Data Warehouse
Delivery System
Marts
Informational
Systems
13. Data Marts vs Data Warehouses
Internet/Intranet Layer 11
direct queries
virtual queries
ad hoc queries Virtual DW
Coarse DW
Operational Data
Central DW
Layer 2a
Distributed DW
North America Core DW Layer 3 External Data
Layer
United States
$11,000
Sales
United States
2b
by Sales
$10,340to $10,350 (1)
$8,730to $10,340 (2)
$4,320to $8,730 (2)
$1,100to $4,320 (1)
$730to $1,100 (3)
Presentation/ Data Feed/ Data Non-operational
Desktop Access Data Mart Data Mining/ Data Staging and Access Data
Layer 1 Layer 4 Indexing Layer 6 Quality Layer Layer 7 Layer 2c
5
Meta-data Repository Layer 8
Warehouse Management Layer 9
Application Messaging (Transport) Layer 10
14. Central Data Warehouse
Internet/Intranet Layer 11
direct queries
virtual queries
ad hoc queries
Tracking DB
Lawson DB
Operational Data
Central DW
Layer 2a
North America Core DW Layer 3 External Data
Layer
United States
$11,000
Sales
United States
2b
by Sales
$10,340to $10,350 (1)
$8,730to $10,340 (2)
$4,320to $8,730 (2)
$1,100to $4,320 (1)
$730to $1,100 (3)
Presentation/ Data Feed/ Data Non-operational
Desktop Access Data Mart Data Mining/ Data Staging and Access Data
Layer 1 Layer 4 Indexing Layer 6 Quality Layer Layer 7 Layer 2c
5
Meta-data Repository Layer 8
Warehouse Management Layer 9
Application Messaging (Transport) Layer 10
15.
16. Virtual Date Warehouse
• A Virtual Data Warehouse approach is often
chosen when there are infrequent demands for
data and management wants to determine if/how
users will use operational data.
• One of the weaknesses of a Virtual Data
Warehouse approach is that user queries a made
against operational DBs.
• One way to minimize this problem is to build a
“Query Monitor” to check the performance
characteristics of a query before executing it.
17. • A Coarse Data Warehouse is often chosen when the
organization has a relatively clean/new operational
system and management wants to make the operational
data more easily available for just that system.
• A Central Data Warehouse
• is often chosen when the organization has a clear
understanding about it Information Access needs and
wants to provide “quality”, “integrated” , information to
its knowledge workers
• A Distributed Data Warehouse is similar in most respects
to a Central Data Warehouse, except that the data is
distributed to separate mini-Data Warehouses (Data
Marts )on local or specialized servers
18. Central Data Warehouse
Internet/Intranet Layer 11
direct queries
virtual queries
ad hoc queries Virtual DW
Coarse DW
Operational Data
Central DW
Layer 2a
Distributed DW
North America Core DW Layer 3 External Data
Layer
United States
$11,000
Sales
United States
2b
by Sales
$10,340to $10,350 (1)
$8,730to $10,340 (2)
$4,320to $8,730 (2)
$1,100to $4,320 (1)
$730to $1,100 (3)
Presentation/ Data Feed/ Data Non-operational
Desktop Access Data Mart Data Mining/ Data Staging and Access Data
Layer 1 Layer 4 Indexing Layer 6 Quality Layer Layer 7 Layer 2c
5
Meta-data Repository Layer 8
Warehouse Management Layer 9
Application Messaging (Transport) Layer 10
19. Data Marts Only
Internet/Intranet Layer 11
direct queries
virtual queries
ad hoc queries Virtual DW
Coarse DW
Operational Data
Central DW
Layer 2a
Distributed DW
North America Core DW Layer 3 External Data
Layer
United States
$11,000
Sales
United States
2b
by Sales
$10,340to $10,350 (1)
$8,730to $10,340 (2)
$4,320to $8,730 (2)
$1,100to $4,320 (1)
$730to $1,100 (3)
Presentation/ Data Feed/ Data Non-operational
Desktop Access Data Mart Data Mining/ Data Staging and Access Data
Layer 1 Layer 4 Indexing Layer 6 Quality Layer Layer 7 Layer 2c
5
Meta-data Repository Layer 8
Warehouse Management Layer 9
Application Messaging (Transport) Layer 10
20. Heterogeneity - The Reality
i2 Supply Chain Oracle Financials Siebel CRM 3rd Party
Data
Packaged
Custom
Oracle
Marketing
Financial
Data
Data
Warehouse
Warehouse
Packaged
I2 Supply Chain Subset
Non- Architected
Data Mart Data Marts
21. Federated BI Architecture
i2 Supply Chain Oracle Financials Siebel CRM 3rd Party e-commerce
Common
Staging
Area Real Time
ODS
Federated Federated
Financial Marketing
Data Data Real Time
Warehouse Warehouse Data Mining
and Analytics
Federated
Packaged Real Time
I2 Supply Subset
Data Marts Segmentation,
Chain Classification,
Data Marts Qualification,
Analytical Offerings, etc.
Applications
22. Benefits of Data Warehouse
Architecture
• Provides organizing framework
• Gives flexibility for changes and allows
simplified maintenance
• Speeds up future development by aiding
understanding of dw
• Communication tool for roles and
requirements
• Coordinate data marts
23. Primary Technical Challenge Axis
Dirty Data Large Co.
Slow Parallel Near
ERP DW Real
Custom
Monthly VLDB Time
ERP DW
Freq Turnkey
Finance
ERP DW
Multi-Source
Small DB Mid-Size Co.
Marketing
Single Source
Fast Clean Data
Easy Hard
24. Prerequisites for Success
• Pain driven
• Sponsorship at the highest levels
• Sustainable political will
• Iterative methodology
• Manageable scope
• User driven design
• Service business mindset
• Sustainability
