Microsoft SQL Server 2008 R2 delivers capabilities to scale database operations, improve efficiency for IT and developers, and enable self-service business intelligence. It provides enhanced analytics, reporting, data warehouse scalability up to hundreds of terabytes, master data management, and complex event processing. These features help organizations more effectively manage and gain insights from large and growing volumes of data.
Bi For It Professionals Part 3 Building And Querying Multidimensional CubesMicrosoft TechNet
In this session, we will discuss how to build multidimensional cubes using SQL Server Analysis Services from System Center Operations Manager Data Warehouse and then how to use multidimensional expression queries.
Bi For It Professionals Part 3 Building And Querying Multidimensional CubesMicrosoft TechNet
In this session, we will discuss how to build multidimensional cubes using SQL Server Analysis Services from System Center Operations Manager Data Warehouse and then how to use multidimensional expression queries.
This presentation was delivered at one of Intergen's Twilight sessions during 2008. It provides an overview of the new features of Microsoft SQL Server 2008, and is targeted at both business and IT users.
Ground floor introduction to the tools and best practices surrounding SQL Server’s built-in web-based, enterprise-level reporting engine. We'll start with what SSRS is, what you'll use it for and give top tips to know when developing your first reports.
Microsoft SQL Server 2008 R2 - Upgrading to SQL Server 2008 R2 WhitepaperMicrosoft Private Cloud
More than ever, organizations rely on data storage and analysis for business operations. Companies need the ability to deploy data-driven solutions quickly. Microsoft SQL Server 2008 R2 data management software provides a trusted, productive, and intelligent data platform that makes it possible for you to run your most demanding mission-critical applications, reduce time and cost of application deployment and maintenance, and deliver actionable insights to your entire organization.
SQL Server 2012 is a cloud-ready information platform that helps organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence. Sujit Rai, a technical expert at Convonix shares its uses in business intelligence.
This session was about Master Data Services and what it also could be used as - the client wanted an application to validate and submit warehouse inventories.
Microsoft master data services mds overviewEugene Zozulya
Master data management (MDM) is a technology discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
Master data management tools can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Microsoft Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) describes the efforts made by an organization to discover and define non-transactional lists of data, with the goal of compiling maintainable master lists. An MDM project generally includes an evaluation and restructuring of internal business processes along with the implementation of MDM technology. The result of a successful MDM solution is reliable, centralized data that can be analyzed, resulting in better business decisions.
Other Master Data Services features include hierarchies, granular security, transactions, data versioning, and business rules.
Master Data Services includes the following components and tools:
- Master Data Services Configuration Manager, a tool you use to create and configure Master Data Services databases and web applications.
- Master Data Manager, a web application you use to perform administrative tasks (like creating a model or business rule), and that users access to update data.
- MDSModelDeploy.exe, a tool you use to create packages of your model objects and data so you can deploy them to other environments.
- Master Data Services web service, which developers can use to extend or develop custom solutions for Master Data Services.
Self service BI with sql server 2008 R2 and microsoft power pivot shortEduardo Castro
In this presentation we summarize BI improvements in SQL Server 2008 R2 and PowerPivot.
Regards,
Dr. Eduardo Castro
http://ecastrom.blogspot.com
http://comunidadwindows.org
Introduction to microsoft sql server 2008 r2Eduardo Castro
In this presentation we review the new features in SQL 2008 R2.
Regards,
Ing. Eduardo Castro Martinez, PhD
http://comunidadwindows.org
http://ecastrom.blogspot.com
This presentation was delivered at one of Intergen's Twilight sessions during 2008. It provides an overview of the new features of Microsoft SQL Server 2008, and is targeted at both business and IT users.
Ground floor introduction to the tools and best practices surrounding SQL Server’s built-in web-based, enterprise-level reporting engine. We'll start with what SSRS is, what you'll use it for and give top tips to know when developing your first reports.
Microsoft SQL Server 2008 R2 - Upgrading to SQL Server 2008 R2 WhitepaperMicrosoft Private Cloud
More than ever, organizations rely on data storage and analysis for business operations. Companies need the ability to deploy data-driven solutions quickly. Microsoft SQL Server 2008 R2 data management software provides a trusted, productive, and intelligent data platform that makes it possible for you to run your most demanding mission-critical applications, reduce time and cost of application deployment and maintenance, and deliver actionable insights to your entire organization.
SQL Server 2012 is a cloud-ready information platform that helps organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence. Sujit Rai, a technical expert at Convonix shares its uses in business intelligence.
This session was about Master Data Services and what it also could be used as - the client wanted an application to validate and submit warehouse inventories.
Microsoft master data services mds overviewEugene Zozulya
Master data management (MDM) is a technology discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise's official shared master data assets.
Master data management tools can be used to support master data management by removing duplicates, standardizing data (mass maintaining), and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data.
Microsoft Master Data Services (MDS) is the SQL Server solution for master data management. Master data management (MDM) describes the efforts made by an organization to discover and define non-transactional lists of data, with the goal of compiling maintainable master lists. An MDM project generally includes an evaluation and restructuring of internal business processes along with the implementation of MDM technology. The result of a successful MDM solution is reliable, centralized data that can be analyzed, resulting in better business decisions.
Other Master Data Services features include hierarchies, granular security, transactions, data versioning, and business rules.
Master Data Services includes the following components and tools:
- Master Data Services Configuration Manager, a tool you use to create and configure Master Data Services databases and web applications.
- Master Data Manager, a web application you use to perform administrative tasks (like creating a model or business rule), and that users access to update data.
- MDSModelDeploy.exe, a tool you use to create packages of your model objects and data so you can deploy them to other environments.
- Master Data Services web service, which developers can use to extend or develop custom solutions for Master Data Services.
Self service BI with sql server 2008 R2 and microsoft power pivot shortEduardo Castro
In this presentation we summarize BI improvements in SQL Server 2008 R2 and PowerPivot.
Regards,
Dr. Eduardo Castro
http://ecastrom.blogspot.com
http://comunidadwindows.org
Introduction to microsoft sql server 2008 r2Eduardo Castro
In this presentation we review the new features in SQL 2008 R2.
Regards,
Ing. Eduardo Castro Martinez, PhD
http://comunidadwindows.org
http://ecastrom.blogspot.com
Microsoft® SQL Server® 2012 is a cloud-ready information platform that will help organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence.
In this session, we explain how the new version of SQL Server will improve database operations, advance security and compliance and bring advanced analytics to all your data workloads.
In this session, we explain how the new version of SQL Server will improve database operations, advance security and compliance and bring advanced analytics to all your data workloads.
What are the features of SQL server standard editions.pdfDirect Deals, LLC
SQL Server Standard edition delivers core data management and business intelligence database for agencies and small organizations. It can help to process their applications and assists common advanced tools for on-premises and cloud-enabling effective database management with lesser IT resources. Visit Here: - https://www.directdeals.com/
How SQL Server Can Streamline Database AdministrationDirect Deals, LLC
In addition to ensuring data integrity, this approach delivers heightened scalability and availability for critical data sets. Also, SQL Server 2022 has a variety of editions, such as SQL Server 2022 Standard and more. Now you must know that, by embracing this solution, businesses can effortlessly scale their operations, accommodating increased workloads and user demands without sacrificing responsiveness.
Read More: - https://www.directdeals.com/how-sql-server-can-streamline-database-administration
Microsoft® SQL Azure™ Database is a cloud-based relational database service built for Windows® Azure platform. It provides a highly available, scalable, multi-tenant database service hosted by Microsoft in the cloud. SQL Azure Database enables easy provisioning and deployment of multiple databases. Developers do not have to install, setup, patch or manage any software. High Availability and fault tolerance is built-in and no physical administration is required. SQL Azure supports Transact-SQL (T-SQL). Customers can leverage existing tools and knowledge in T-SQL based familiar relational
data model for building applications.
Similar to Microsoft India – SQL Server 2008 R2 Datasheet (20)
Migrating its entire virtualized environment from VMware to Hyper-V has helped Miele & Cie, an appliance manufacturer shrink its server space by more than 50 percent and improve productivity.
To add to the new flexible and energy-efficient data center, Miele has also ‘saved an estimated 35 percent in licensing costs by going with a Microsoft virtualization solution’.
Hyper-V has helped AcXess fill that much needed virtualization gap with an improvised and more competent functionality and reduced data center and hardware costs.
According to Tom Elowson, President and Cofounder, AcXess, “Hyper-V has made all the difference. It is amazing to think we have grown our business 300 percent over the last few years with Hyper-V. ”
There are many misconceptions surrounding Cloud Computing and what it has to offer.
Tell apart the facts from the myths with Cloud Computing Myth Busters and develop a deeper understanding of the Cloud.
Download Myth Busters >>
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Microsoft India – SQL Server 2008 R2 Datasheet
1. Microsoft® SQL Server® 2008 R2 delivers several breakthrough capabilities that will
enable your organization to scale database operations with confidence and improve IT
and developer efficiency, as well as enable highly scalable and well-managed business
intelligence on a self-service basis for your users.
Expanding on the value delivered in SQL Server 2008, The MPP architecture helps enable better scalability,
SQL Server 2008 R2 provides a wealth of new features more predictable performance, reduced risk, and a lower
cost per terabyte than other data warehouse solutions.
and capabilities that can benefit your entire organization.
Process large volumes of events across multiple
Key Features data streams
Data volumes are exploding with event data streaming
• Powerful end-user analytics and reporting
from sources such as RFID, sensors, and Web logs across
via innovative Microsoft Excel® add-in and
industries including manufacturing, financial services,
intuitive report design tools that integrate
and utilities. The size and frequency of the data make it
with Microsoft SharePoint® Server
challenging to store for data mining and analysis.
• Centralized management and deployment Use SQL Server StreamInsight to better manage your
of instances and applications from a business through historical data mining and continuous
single control point within SQL Server insights. StreamInsight allows software developers to
Management Studio create complex and innovative CEP solutions along two
• Support for Windows Server® 2008 R2, scenarios: (1) building packaged event-driven applications
including Hyper-V ™ with Live Migration for low-latency processing, and (2) developing custom
event-driven applications for businesses with high-
• Data warehouse scalability from tens to throughput, low-latency needs.
hundreds of terabytes through massively
parallel processing StreamInsight provides the ability to monitor, analyze,
and act on the data in motion and offers significant
• Enhanced data compression with support opportunity to make more informed business decisions in
for Unicode UCS-2 near real time.
• Master data hub for defining and
managing master data across
heterogeneous systems
• High-scale complex event processing
TRUSTED, SCALABLE PLATFORM
Scale your data warehouse from tens to hundreds of terabytes
SQL Server 2008 R2 will offer customers scalability to
meet the demands of growing data warehouses. Parallel
Data Warehouse is a highly scalable appliance for
enterprise data warehousing. It uses massively parallel
processing (MPP) to deliver the high performance and
scalability on SQL Server 2008, Windows Server 2008,
and industry-standard hardware.
Microsoft® SQL Server® 2008 R2