The document outlines the agenda for a presentation on new features in SQL Server 2008. It will cover enhancements and new capabilities in T-SQL, SQL Server Management Studio, the SQL Database Engine, SQL Reporting Services, SQL Server Integration Services, and SQL Server Analysis Services. Demonstrations will be provided for several of the new features.
SQL Server 2008 R2 introduces several new features and enhancements including improved scalability, manageability, reporting, and data compression. Some key highlights include support for more than 64 CPUs, Unicode data compression, the SQL Server Utility for managing multiple instances, data-tier applications to define database objects as a single unit, and new reporting features like maps, spatial data visualization, and Atom data feeds. The presentation provides an overview of new capabilities in SQL Server 2008 R2 and highlights several major areas of enhancement compared to SQL Server 2008.
The document summarizes the performance and scalability capabilities of Microsoft SQL Server 2008. It discusses how SQL Server 2008 provides tools to optimize performance for databases of any size through features like an improved query processing engine and partitioning. It also explains how SQL Server 2008 allows databases to scale up by supporting new hardware and scale out through technologies like distributed partitioning and replication.
The document discusses new features in SQL Server 2008 that improve data storage, analytics, performance, scalability, high availability, security, and manageability. Key highlights include:
- Storing and querying multiple data types like relational, documents, XML, and spatial data more efficiently
- Enhancements for analytics, reporting, and mixed queries using features like column sets and sparse columns
- Increased scalability through features such as resource governor, memory management improvements, and query optimization
- High availability options like database mirroring, failover clustering, and replication
- Security enhancements including encryption, auditing, and reduced attack surfaces
- Simplified administration using tools such as SQL Server Management
This document provides an agenda and summary for a Data Analytics Meetup (DAM) on March 27, 2018. The agenda covers topics such as disruption opportunities in a changing data landscape, transitioning from traditional to modern BI architectures using Azure, Azure SQL Database vs Data Warehouse, data integration with Azure Data Factory and SSIS, Analysis Services, Power BI reporting, and a wrap-up. The document discusses challenges around data growth, digital transformation, and the shrinking time for companies to adapt to disruption. It provides overviews and comparisons of Azure SQL Database, Data Warehouse, and related Azure services to help modernize analytics architectures.
Snowflake is an analytic data warehouse provided as software-as-a-service (SaaS). It uses a unique architecture designed for the cloud, with a shared-disk database and shared-nothing architecture. Snowflake's architecture consists of three layers - the database layer, query processing layer, and cloud services layer - which are deployed and managed entirely on cloud platforms like AWS and Azure. Snowflake offers different editions like Standard, Premier, Enterprise, and Enterprise for Sensitive Data that provide additional features, support, and security capabilities.
Microsoft SQL Server - Reduce Your Cost and Improve your Agility PresentationMicrosoft Private Cloud
This document discusses server consolidation using SQL Server 2008 R2. It begins by describing the trend toward consolidation to reduce costs by combining underutilized servers onto fewer servers. Key enablers of consolidation include advances in software, hardware, virtualization and improved bandwidth. SQL Server 2008 R2 provides benefits for consolidation such as low TCO, security, manageability and support for virtualization. The document reviews options for consolidating servers using SQL Server 2008 R2, including multiple databases, multiple instances and virtualization. It also discusses management, high availability, security and reducing storage requirements when consolidating with SQL Server 2008 R2.
Veritas Database Edition/Advanced Cluster for Oracle9i RAC provides several benefits for managing Oracle databases in a clustered environment including simplified storage layout, simplified management of tablespaces with file systems, shared Oracle home and application directories, and improved storage utilization and faster recovery. It uses Cluster Volume Manager and Cluster File System to manage raw partitions and physical devices more easily while increasing performance and availability.
This document provides an overview of the new features and capabilities of IBM's Big SQL 3.0, an SQL-on-Hadoop solution. Big SQL 3.0 replaces the previous MapReduce-based architecture with a massively parallel processing SQL engine that pushes processing down to HDFS data nodes for low-latency queries. It features a shared-nothing parallel database architecture, rich SQL support including stored procedures and functions, automatic memory management, workload management tools, and fault tolerance. The document discusses the new architecture, performance improvements, and how Big SQL 3.0 represents an important advancement for SQL-on-Hadoop solutions.
CTE Ottawa Seminar Day - September 7th, 2012
This clinic introduces the key features and enhancements in SQL Server 2012. It is designed to provide a high-level overview of the product and the key new capabilities in this release.
This course is intended for technology managers and database professionals who want to understand the key capabilities of SQL Server 2012. In many cases, it is assumed that senior technical managers may attend this clinic in order to assess the further training that their technology-focused employees will need in order to adopt SQL Server 2012.
The document discusses SQL Parallel Data Warehouse (PDW), which is a massively parallel processing appliance for large data warehousing workloads. It describes the different types of nodes in PDW, including control nodes that manage query execution, compute nodes that store and process data, and administrative nodes. The document also explains how PDW uses a hub and spoke architecture with the PDW appliance acting as a central data hub and individual data marts acting as spokes optimized for different user groups.
SQL Server Reporting Services (SSRS) is a reporting tool that allows users to create and view reports. It includes components like the Report Server, Report Builder, and Report Manager. When a user requests a report, the SSRS server retrieves data from sources, merges it with the report definition, and returns the generated report to the client. Reports in SSRS can be designed using Visual Studio and include things like datasets, parameters, charts, and expressions. Security and permissions are managed through roles and role assignments that control access to report content.
SharePoint 2010 High Availability - SPC2CMichael Noel
This document discusses strategies for architecting a fault tolerant and high performance SharePoint 2010 farm. It covers improvements in SharePoint 2010 infrastructure like the replacement of shared service providers with isolated service applications. It also discusses different SharePoint 2010 farm roles and provides examples of farm architectures with dedicated web, application, and database servers. The document recommends database optimization techniques like distributing database files across multiple disks. It also promotes the use of SQL database mirroring to provide high availability of SharePoint content databases.
This document provides an overview of SQL Server Reporting Services (SSRS) 2008 and 2012, including architectural details, new features, and the process of creating and deploying reports. Key points covered include the SSRS architecture and its integration with SQL Server, Analysis Services, and other tools. New features are outlined for SSRS 2008/R2, 2012, and beyond, such as support for additional data sources, new rendering formats, and enhanced report design functionality. The reporting creation process is demonstrated, involving building data sources, report layouts, previews, and deployment.
Microsoft SQL Server Reporting Services (SSRS) allows users to create, manage, and view reports. It includes components like data sources, datasets, reports, output formats, delivery targets, and a metadata database. Reports can be authored in Visual Studio and deployed to a report server. When executed, the report server retrieves data from the data source, processes the report definition, and delivers outputs like HTML, Excel, PDF etc. to users on demand or via scheduled subscriptions.
Microsoft SQL Server 2012 Components and Tools (Quick Overview) - Rev 1.3Naji El Kotob
This document provides an overview of SQL Server tools and core services. It describes several Microsoft SQL Server tools, including SQL Server Management Studio (SSMS), SQL Server Configuration Manager, and SQL Profiler. It also outlines the main SQL Server core services: the Database Engine, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS). The document indicates that it will include an interactive demonstration exploring these SQL Server components.
En esta sesión revisamos las nuevas mejoras y funcionalidades que estarán implementadas en la siguiente versión de SQL Server principalmente en Seguridad, Rendimiento y Alta Disponibilidad
This document provides an overview of Microsoft SQL Server Reporting Services. It discusses developing reports using datasets, report design, parameters, deployment and management. Reporting Services allows generating reports from various data sources and integrating them into web and Windows applications. It also covers administration, caching, subscriptions and security.
Microsoft SQL Server 2008 R2 expands on previous versions with new technologies to make business intelligence accessible across an organization. Key features include PowerPivot for Excel 2010 which allows users to transform large datasets directly in Excel, Master Data Services for managing shared master data, and reporting tools that enable intuitive authoring and publishing of reports and visualizations that can be securely shared on SharePoint. These capabilities are designed to empower users, increase IT efficiencies, and facilitate seamless collaboration.
MAIA Intelligence was invited to give a technical session on MS-SQL at Microsoft Dreamspark Yatra 2012 event in which around 300 budding techies learnt about the emerging technologies
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.
SQL Server 2016 includes several new features such as columnstore indexes, in-memory OLTP, live query statistics, temporal tables, and row-level security. It also features improved manage backup functionality, support for multiple tempdb files, and new ways to format and encrypt query results. Advanced capabilities like PolyBase and Stretch Database further enhance analytics and management of historical data.
This document provides an overview of auditing data access in SQL Server. It discusses various methods for auditing such as using common criteria, SQL Trace, DML triggers, temporal tables, and implementing SQL Server Audit. SQL Server Audit is described as the primary auditing tool in SQL Server that can track both server and database level events. Considerations for implementing and managing SQL Server Audit are also covered.
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.
The document provides instructions for creating a 3D journal with several sections: techniques, project planning, in process, and ceramic artist. It includes suggestions to include multiple drawings from different views, add details, and use color. Websites are also listed as sources for finding artists and learning techniques.
Veritas Database Edition/Advanced Cluster for Oracle9i RAC provides several benefits for managing Oracle databases in a clustered environment including simplified storage layout, simplified management of tablespaces with file systems, shared Oracle home and application directories, and improved storage utilization and faster recovery. It uses Cluster Volume Manager and Cluster File System to manage raw partitions and physical devices more easily while increasing performance and availability.
This document provides an overview of the new features and capabilities of IBM's Big SQL 3.0, an SQL-on-Hadoop solution. Big SQL 3.0 replaces the previous MapReduce-based architecture with a massively parallel processing SQL engine that pushes processing down to HDFS data nodes for low-latency queries. It features a shared-nothing parallel database architecture, rich SQL support including stored procedures and functions, automatic memory management, workload management tools, and fault tolerance. The document discusses the new architecture, performance improvements, and how Big SQL 3.0 represents an important advancement for SQL-on-Hadoop solutions.
CTE Ottawa Seminar Day - September 7th, 2012
This clinic introduces the key features and enhancements in SQL Server 2012. It is designed to provide a high-level overview of the product and the key new capabilities in this release.
This course is intended for technology managers and database professionals who want to understand the key capabilities of SQL Server 2012. In many cases, it is assumed that senior technical managers may attend this clinic in order to assess the further training that their technology-focused employees will need in order to adopt SQL Server 2012.
The document discusses SQL Parallel Data Warehouse (PDW), which is a massively parallel processing appliance for large data warehousing workloads. It describes the different types of nodes in PDW, including control nodes that manage query execution, compute nodes that store and process data, and administrative nodes. The document also explains how PDW uses a hub and spoke architecture with the PDW appliance acting as a central data hub and individual data marts acting as spokes optimized for different user groups.
SQL Server Reporting Services (SSRS) is a reporting tool that allows users to create and view reports. It includes components like the Report Server, Report Builder, and Report Manager. When a user requests a report, the SSRS server retrieves data from sources, merges it with the report definition, and returns the generated report to the client. Reports in SSRS can be designed using Visual Studio and include things like datasets, parameters, charts, and expressions. Security and permissions are managed through roles and role assignments that control access to report content.
SharePoint 2010 High Availability - SPC2CMichael Noel
This document discusses strategies for architecting a fault tolerant and high performance SharePoint 2010 farm. It covers improvements in SharePoint 2010 infrastructure like the replacement of shared service providers with isolated service applications. It also discusses different SharePoint 2010 farm roles and provides examples of farm architectures with dedicated web, application, and database servers. The document recommends database optimization techniques like distributing database files across multiple disks. It also promotes the use of SQL database mirroring to provide high availability of SharePoint content databases.
This document provides an overview of SQL Server Reporting Services (SSRS) 2008 and 2012, including architectural details, new features, and the process of creating and deploying reports. Key points covered include the SSRS architecture and its integration with SQL Server, Analysis Services, and other tools. New features are outlined for SSRS 2008/R2, 2012, and beyond, such as support for additional data sources, new rendering formats, and enhanced report design functionality. The reporting creation process is demonstrated, involving building data sources, report layouts, previews, and deployment.
Microsoft SQL Server Reporting Services (SSRS) allows users to create, manage, and view reports. It includes components like data sources, datasets, reports, output formats, delivery targets, and a metadata database. Reports can be authored in Visual Studio and deployed to a report server. When executed, the report server retrieves data from the data source, processes the report definition, and delivers outputs like HTML, Excel, PDF etc. to users on demand or via scheduled subscriptions.
Microsoft SQL Server 2012 Components and Tools (Quick Overview) - Rev 1.3Naji El Kotob
This document provides an overview of SQL Server tools and core services. It describes several Microsoft SQL Server tools, including SQL Server Management Studio (SSMS), SQL Server Configuration Manager, and SQL Profiler. It also outlines the main SQL Server core services: the Database Engine, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS). The document indicates that it will include an interactive demonstration exploring these SQL Server components.
En esta sesión revisamos las nuevas mejoras y funcionalidades que estarán implementadas en la siguiente versión de SQL Server principalmente en Seguridad, Rendimiento y Alta Disponibilidad
This document provides an overview of Microsoft SQL Server Reporting Services. It discusses developing reports using datasets, report design, parameters, deployment and management. Reporting Services allows generating reports from various data sources and integrating them into web and Windows applications. It also covers administration, caching, subscriptions and security.
Microsoft SQL Server 2008 R2 expands on previous versions with new technologies to make business intelligence accessible across an organization. Key features include PowerPivot for Excel 2010 which allows users to transform large datasets directly in Excel, Master Data Services for managing shared master data, and reporting tools that enable intuitive authoring and publishing of reports and visualizations that can be securely shared on SharePoint. These capabilities are designed to empower users, increase IT efficiencies, and facilitate seamless collaboration.
MAIA Intelligence was invited to give a technical session on MS-SQL at Microsoft Dreamspark Yatra 2012 event in which around 300 budding techies learnt about the emerging technologies
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.
SQL Server 2016 includes several new features such as columnstore indexes, in-memory OLTP, live query statistics, temporal tables, and row-level security. It also features improved manage backup functionality, support for multiple tempdb files, and new ways to format and encrypt query results. Advanced capabilities like PolyBase and Stretch Database further enhance analytics and management of historical data.
This document provides an overview of auditing data access in SQL Server. It discusses various methods for auditing such as using common criteria, SQL Trace, DML triggers, temporal tables, and implementing SQL Server Audit. SQL Server Audit is described as the primary auditing tool in SQL Server that can track both server and database level events. Considerations for implementing and managing SQL Server Audit are also covered.
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.
The document provides instructions for creating a 3D journal with several sections: techniques, project planning, in process, and ceramic artist. It includes suggestions to include multiple drawings from different views, add details, and use color. Websites are also listed as sources for finding artists and learning techniques.
This document discusses search optimization strategies for social media and websites. It outlines developing an SEO strategy through keyword research, competitive analysis, and on-page and off-page optimization tactics. These include optimizing page titles, meta tags, URLs, content and submitting the site to search engines and directories. It also recommends measuring results and improving efforts over time through analytics and traffic reports.
This document contains advice for pitching to investors, including tips on structuring an elevator pitch, presentation, and asking for introductions or advice. Some key points covered are leading with traction if you have it, solving a clear problem for customers in a better way than competitors, demonstrating your solution works through a demo, explaining your business model and how it scales, highlighting your unfair advantage, and using body language effectively during the presentation. The overall message is focusing on problem, solution, traction, and team when pitching to investors.
This document outlines the assignments and due dates for a drawing and aesthetics module from July 5th to July 19th. It includes online journals, mini-labs, blog entries, and a studio project. The studio project, called Contour Washes, involves using washes to depict the contours of a bedroom and is due on July 9th. An online class meeting will also take place on July 9th at 7pm to critique the Contour Washes projects.
Kenneth Smith The Association Of Latino Professionals In Finance And AccountingWalmart Super Center
Kenneth Smith has over 6 years of experience in database applications, desktop systems, and as an extractor, expediter, and account receivable specialist. He has a background in computer science and certifications in Windows networking, security, and Vista. His skills include programming languages, applications, and business software.
The document describes the design and components of the MAGH-1 and MAGH CM woodgas stoves, which use pyrolysis and forced air to convert wood fuel into combustible gas for cooking. Key components include a combustion chamber, primary and secondary air holes, a fan for forced air, and a grate for easy removal of ash and charcoal. The stoves also have openings for air flow and support of cooking pots as well as frames constructed of refractory materials.
Organization-Public Relationships - how to measure and useJoe Brennan, Ph.D.
This presentation discusses measuring and improving an organization's relationship with its key publics. It summarizes research conducted by the University at Buffalo (UB) on its advocacy program called "UB Believers". The research found that levels of satisfaction and commitment with UB predicted whether members had advocated for the university's goals. To strengthen relationships, the presentation recommends focusing communications on mutual benefits and sharing information rather than just asking for support, as well as enhancing the sense that the organization cares about the public's welfare.
This document provides information about the Drawing & Painting 1 course including the teacher's contact information, prerequisites, course description and objectives. It outlines the textbook, student responsibilities, grading criteria, assignment policies and studio/teacher availability. The course focuses on developing fundamental drawing skills and transitioning to painting using media such as pencil, charcoal and oil pastels. Students explore techniques, contemporary ideas, and the works of artists through their visual journal and studio assignments.
The document provides a review for the final exam in an Introduction to Art course. It covers key topics like the elements of art, principles of design, color theory, drawing techniques, art criticism process, sculpting materials and processes. Multiple choice and short answer questions are included to help students prepare for the cumulative final exam which will make up 10% of the overall course grade.
The document lists and provides some key details about 11 major cities in India. Mumbai is the largest city with over 17 million people and is known as the gateway to India. Kolkata has over 13.5 million people and is home to the Victoria Memorial landmark. New Delhi, the capital, has a population of 13 million and is where the President's Palace is located.
The document provides tips for giving a successful presentation, including getting the audience's attention in the introduction, explaining details and offering examples in the body, recapping the main point and making the ending memorable in the conclusion, projecting confidence verbally, vocally, and visually, and remembering the main point throughout the presentation. Flickr pictures are attributed to various photographers. The presentation ends with a thank you.
The document discusses key principles of art including balance, emphasis, movement, proportion, rhythm, and unity. Balance can be formal, informal, or radial. Emphasis draws the eye to a particular area. Movement suggests motion or flow. Proportion relates parts of an object. Rhythm has a recurring flow like music. Unity makes all elements of a work fit together. Examples are given of artists who exemplify each principle.
The document discusses Microsoft Master Data Management (MDM) and how it can help with issues around inconsistent or inaccurate master data across operational systems and analytics applications. MDM provides a single source of truth for critical data like customers, products, suppliers and more. It offers capabilities for data stewardship, integration, security and analytics to help organizations gain insights from clean, unified data. The document also outlines recent improvements and new features for Microsoft MDM.
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 document summarizes new features in SQL Server 2008 R2 including management, scalability, availability, and business intelligence enhancements. Key updates include improved multi-server management with the SQL Server Utility, data-tier application management, increased virtualization support through Hyper-V, Master Data Services, StreamInsight for complex event processing, PowerPivot for self-service reporting, and new premium editions for high scalability. It also provides an overview of SQL Server 2008 R2 editions and licensing changes.
Monica Opris has experience with SQL, SSIS, SSAS, SSRS, and data modeling. She has worked on BI projects in banking, company management, and insurance. Her document outlines her specialties and involvement in projects that include ETL processes, database design, and report development. She advocates moving systems to SQL Server 2012 for improved performance from features like ColumnStore indexing and the new tabular model in Analysis Services.
What Is Microsoft Fabric and Why You Should Care?
Unified Software as a Service (SaaS), offering End-To-End analytics platform
Gives you a bunch of tools all together, Microsoft Fabric OneLake supports seamless integration, enabling collaboration on this unified data analytics platform
Scalable Analytics
Accessibility from anywhere with an internet connection
Streamlines collaboration among data professionals
Empowering low-to-no-code approach
Components of Microsoft Fabric
Fabric provides comprehensive data analytics solutions, encompassing services for data movement and transformation, analysis and actions, and deriving insights and patterns through machine learning. Although Microsoft Fabric includes several components, this article will use three primary experiences: Data Factory, Data Warehouse, and Power BI.
Lake House vs. Warehouse: Which Data Storage Solution is Right for You?
In simple terms, the underlying storage format in both Lake Houses and Warehouses is the Delta format, an enhanced version of the Parquet format.
Usage and Format Support
A Lake House combines the capabilities of a data lake and a data warehouse, supporting unstructured, semi-structured, and structured formats. In contrast, a data Warehouse supports only structured formats.
When your organization needs to process big data characterized by high volume, velocity, and variety, and when you require data loading and transformation using Spark engines via notebooks, a Lake House is recommended. A Lakehouse can process both structured tables and unstructured/semi-structured files, offering managed and external table options. Microsoft Fabric OneLake serves as the foundational layer for storing structured and unstructured data
Notebooks can be used for READ and WRITE operations in a Lakehouse. However, you cannot connect to a Lake House with an SQL client directly, without using SQL endpoints.
On the other hand, a Warehouse excels in processing and storing structured formats, utilizing stored procedures, tables, and views. Processing data in a Warehouse requires only T-SQL knowledge. It functions similarly to a typical RDBMS database but with a different internal storage architecture, as each table’s data is stored in the Delta format within OneLake. Users can access Warehouse data directly using any SQL client or the in-built graphical SQL editor, performing READ and WRITE operations with T-SQL and its elements like stored procedures and views. Notebooks can also connect to the Warehouse, but only for READ operations.
An SQL endpoint is like a special doorway that lets other computer programs talk to a database or storage system using a language called SQL. With this endpoint, you can ask questions (queries) to get information from the database, like searching for specific data or making changes to it. It’s kind of like using a search engine to find things on the internet, but for your data stored in the Fabric system.
The document provides an agenda for a 3-day training on data warehousing and business intelligence using Microsoft SQL Server 2005. Day 3 focuses on SQL Server Integration Services (SSIS), including an introduction to SSIS, workshops and exercises on SSIS and SQL Server Analysis Services (SSAS). It also discusses how to create SSIS packages to extract, transform and load data.
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.
Azure SQL DB Managed Instances Built to easily modernize application data layerMicrosoft Tech Community
The document discusses Azure SQL Database Managed Instance, a new fully managed database service that provides SQL Server compatibility. It offers seamless migration of SQL Server workloads to the cloud with full compatibility, isolation, security and manageability. Customers can realize up to a 406% ROI over on-premises solutions through lower TCO, automatic management and scaling capabilities.
SQL Azure Database provides a relational database service running on Microsoft's cloud platform. Future plans include improved database cloning for backups, scale-out support through dynamic database splitting and merging, and improved connectivity between on-premises and cloud databases using synchronization technologies. The goal is to provide a highly scalable database service with a seamless experience for both developers and administrators.
SQL Azure Database provides a relational database service running on Microsoft's cloud platform. Future plans include improved database cloning for backups, scale-out support through dynamic database splitting and merging, and improved connectivity between on-premises and cloud databases using synchronization technologies. The goal is to provide a highly scalable database service with a seamless experience for both developers and administrators.
This document summarizes new features in SQL Server 2008 for developers. It covers new data types like spatial, XML, and CLR types as well as features like table valued parameters, change tracking, and ADO.NET Entity Framework support. It also discusses enhancements to Integration Services, reporting services, and the core SQL Server engine.
This document provides a summary of Samuel Bayeta's qualifications and experience. It outlines his expertise in SQL Server, BI development, data modeling, ETL processes, and report design. It also lists his educational background in electrical engineering and over 5 years of experience as a SQL Server/BI developer for several companies, demonstrating skills in SQL, SSIS, SSRS, and data warehousing.
This document provides an overview of the new features in Microsoft SQL Server 2008, including enhancements that make it more trusted, productive, and intelligent. Key updates include improved security features like transparent data encryption, enhanced high availability options like automatic page repair for database mirroring, and new management capabilities like the policy-based framework to simplify administration.
This tutorial covers the topics of introduction to business intelligence with examples of BI scenarios and touches upon ETL(Extract, Transform and Load) operations using SSIS on SQL 2005 & 2008 and using DTS on SQL 2000. It contains introductions to crystal reports and SSRS. It compares Data warehouse and OLAP Cube. This tutorial concludes with topics on Data Mining and Dashboards.
This document provides a summary of Vijay Patel's professional experience and qualifications. It includes his contact information, a professional statement highlighting his .NET development experience and skills, and descriptions of his roles and responsibilities in various software development positions over the past 15 years. His experience includes work with C#, SQL Server, SSIS, SSRS, ASP.NET, and Agile methodologies.
Azure SQL Database & Azure SQL Data WarehouseMohamed Tawfik
This document provides an overview of Microsoft Azure Data Services and Azure SQL Database. It discusses Infrastructure as a Service (IaaS) versus Platform as a Service (PaaS), and highlights the opportunities in the Linux database market. It also discusses Microsoft's commitment to customer choice and partnerships with companies like Red Hat. The remainder of the document focuses on features of Azure SQL Database, including an overview of the DTU and vCore purchasing models, managed instances, backup and recovery, high availability options, elastic scalability, and data sync capabilities.
Ralph Kemperdick – IT-Tage 2015 – Microsoft Azure als DatenplattformInformatik Aktuell
In dieser Session möchten wir eine Orientierung geben, welche Daten-Services auf Azure die geeignete Plattform für eine App bzw. eine Anwendung sein können. Die Session konzentriert sich auf die Platform as a Service (PaaS) mit einem SQL Interface. Es wird Azure SQL Server, Azure SQL DW, DocumentDB, Stream Analytics, Spark/Scala/Hive und Data Lake Analytics betrachtet und Unterschiede herausgearbeitet. Live Demos begleiten die einzelnen Themen in der Session. Ferner werden Argumente für und gegen Cloud basierte Services diskutiert.
This document provides an overview of a course on implementing a modern data platform architecture using Azure services. The course objectives are to understand cloud and big data concepts, the role of Azure data services in a modern data platform, and how to implement a reference architecture using Azure data services. The course will provide an ARM template for a data platform solution that can address most data challenges.
Microsoft SQL Server 2008 provides tools and features to optimize performance for both individual servers and large databases. It allows databases to scale up using a single server's resources more efficiently or scale out across multiple servers. Key features include the Resource Governor to control resource allocation, Performance Studio to monitor instances across an enterprise, and partitioning to enhance concurrency and reduce disk contention. SQL Server 2008 also supports techniques like peer-to-peer replication and Service Broker to scale out databases across multiple servers.
The document summarizes Microsoft's SQL Server 2005 Analysis Services (SSAS). It provides an overview of SSAS capabilities such as data mining algorithms, unified dimensional modeling, scalability features, and integrated manageability with SQL Server. It also describes demos of the OLAP and data mining capabilities and how SSAS can be deployed and managed for scalability, availability, and serviceability.
Este documento describe la evolución de los grandes datos y la analítica, incluyendo el aumento de fuentes de datos, la comprensión de su valor, y la disminución de costos de hardware. También resume los componentes clave de Hadoop como HDFS, MapReduce, Hive y otros para el procesamiento y análisis de grandes cantidades de datos.
Creando tu primer ambiente de AI en Azure ML y SQL ServerEduardo Castro
Este documento proporciona una introducción a cómo crear el primer entorno de inteligencia artificial en Azure. Explica brevemente los beneficios de la inteligencia artificial y el aprendizaje automático para los negocios. Luego describe algunos de los servicios principales de Azure que pueden usarse para analizar datos, desarrollar modelos de aprendizaje automático y implementar soluciones de IA, como Azure Machine Learning, Databricks y HDInsight.
El documento describe las diferentes características y capacidades de seguridad disponibles en Azure SQL Database y Azure SQL Data Warehouse. Incluye gráficos que muestran el número de vulnerabilidades abordadas desde 2010 hasta 2018 y describe opciones como cifrado de datos en tránsito y en reposo, autenticación multifactor, firewalls, detección de amenazas, auditoría y más. El objetivo es ayudar a los clientes a proteger y auditar sus datos de manera segura en la nube.
Este documento describe cómo integrar Azure Synapse con MLflow para habilitar el seguimiento de experimentos de aprendizaje automático y el registro y despliegue de modelos en Azure Machine Learning. Explica cómo configurar los cuadernos de Azure Synapse para usar MLflow conectado a un área de trabajo de Azure Machine Learning, registrar modelos entrenados en Synapse en el registro de modelos de Azure ML y desplegarlos para su uso.
SQL Server can be installed on Windows Server 2022. Eduardo Castro provides a demonstration of how to install SQL Server on the latest Windows server operating system. His demonstration is available at a GitHub link that tracks an issue regarding documentation on installing SQL Server with Windows Server 2022.
El documento describe las nuevas características de SQL Server 2022, incluyendo la integración bidireccional con Azure SQL para replicación de datos, Azure Synapse Link para transferencia automática de cambios a Synapse Analytics, integración con Azure Purview para detección y clasificación de datos, mejoras en rendimiento a través de Query Store y optimización de planes, y mejoras en seguridad, disponibilidad y resolución de conflictos de réplicas.
SQL Server 2022 está habilitado para Azure para recuperación ante desastres, análisis y seguridad. Ofrece nuevas innovaciones como inteligencia de consultas integrada para mejorar el rendimiento, compatibilidad con almacenamiento de objetos y funciones extendidas de T-SQL para nuevos escenarios.
Machine Learning con Azure Managed InstanceEduardo Castro
En esta presentación mostramos las opciones para implementar Machine Learning dentro de Azure, así como las formas de configurar y utilizar Python dentro de Azure Managed Instance
El documento describe las nuevas características de SQL Server 2022, incluyendo la integración bidireccional con Azure SQL para replicación de datos, Azure Synapse Link para transferencia automática de cambios a Synapse Analytics, integración con Azure Purview para detección y clasificación de datos, mejoras en rendimiento a través de Query Store y optimización de planes, nuevas funciones de seguridad como ledger inmutable, y automatización de conflictos de réplicas en entornos de múltiples escrituras.
SQL Server can be installed on Windows Server 2022. Eduardo Castro provides a demonstration of how to install SQL Server on the latest Windows server operating system. His demonstration is available at a GitHub link that tracks an issue regarding documentation on installing SQL Server with Windows Server 2022.
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QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
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- Please contact Arthur Morgan at [email protected].
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QRGs include the following:
- A brief, high-level overview of the QRG topic.
- A milestone timeline for the QRG topic.
- Links to various free online resource materials to provide a deeper dive into the QRG topic.
- Conclusion and a recommendation for at least two books available in the SJPL system on the QRG topic.
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100% human made.
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𝙄𝙨 𝘼𝙄 𝙟𝙪𝙨𝙩 𝙝𝙮𝙥𝙚? 𝙊𝙧 𝙞𝙨 𝙞𝙩 𝙩𝙝𝙚 𝙜𝙖𝙢𝙚 𝙘𝙝𝙖𝙣𝙜𝙚𝙧 𝙮𝙤𝙪𝙧 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙣𝙚𝙚𝙙𝙨?
Everyone’s talking about AI but is anyone really using it to create real value?
Most companies want to leverage AI. Few know 𝗵𝗼𝘄.
✅ What exactly should you ask to find real AI opportunities?
✅ Which AI techniques actually fit your business?
✅ Is your data even ready for AI?
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2. Overview of SQL Server 2008
Major Enhancements from SQL Server
2008 to SQL Server 2008 R2
3. SQL Server 2008 is a very powerful tool of
Microsoft. SQL Server 2008 comes up with
many enhancements in Security, Availability,
Performance, Management, Storage,
Programmability, BI( Business Intelligence )
and SSRS (Reporting Services) .
4. New Editions
2 new premium editions to meet the needs of
large scale datacenters and data warehouses
New R2 Technologies
Application and Multi-Server Management
Managed Self-Service Business Intelligence
Master Data Services
StreamInsight Complex Event Processing
Technology
5. New R2 Solutions
PowerPivot for SharePoint
PowerPivot for Excel
Parallel Data Warehouse
Fast Track Data Warehouse
6. Building on the momentum of SQL Server
2008, “R2” improves IT efficiency by
reducing the time and cost of developing
and managing applications
Empowers end users to make better
decisions through Self-Service Business
Intelligence and enables organizations to
scale with confidence by providing high
levels of reliability, security and scalability
for business critical applications.
7. Report Builder 3.0 with support for geospatial
visualization
Application and Multi-server Management - SMP
scale up with support for up to 256 logical
processors.
This CTP provides the first opportunity to explore
some of the features of SQL Server 2008 R2 and
see how it all comes together to enhance
performance and scalability, enable self-service BI
and improve IT and developer efficiency.
8. SQL Server 2008 R2 comes up with two
new feature in scalability and performance
enhancements:
Support for More Than 64 CPUs- The number
of CPU cores that a server can use for
database operations been increased from 64
to 512.
Unicode Compression-Unicode data that is
stored in nvarchar(n) and nchar(n) columns is
now compressed by using an implementation
of the standard Compression Scheme for
Unicode(SCSU) algorithm.
9. Datacenter
Designed to deliver a high-performing data
platform that provides the highest levels of
scalability for large application workloads,
virtualization and consolidation
Key features new to Datacenter:
Application and Multi-Server Management for
enrolling, gaining insights and managing over
25 instances
10. High-scale complex event processing with
SQL Server StreamInsight
Supports more processors and up to 256
logical processors for highest levels of scale
Supports memory limits up to OS maximum
11. SQL Server 2008 R2 Parallel Data
Warehouse is a highly scalable data
warehouse appliance-based solution
12. Key features new to Parallel Data
Warehouse:
10s to 100s TBs enabled by MPP architecture
Advanced data warehousing capabilities like
Star Join Queries and Change Data Capture
Integration with SSIS, SSRS, and SSAS
Supports industry standard data warehousing
hub and spoke architecture and parallel
database copy
14. Pre-configured For Each SQL Server Instance On Each
Compute Node.
Drives Configured As RAID1 To Avoid Appliance Failover for a Single Drive
Failure
IBM Compute Nodes Will Have 1 Lun (1 RAID1 Pair)
Dell Compute Nodes Will Have 2 Lun’s (2 RAID1 Pairs)
HP Compute Nodes Will Have 3 Luns’s (3 RAID1 Pairs)
Tempdb:
Sort-work Area For Data Loading Into Clustered Index Tables
Spill Area For Hash Joins Not Fitting Into Memory
15. Pre-configured
4 RAID10 Pairs for Primary User Data
1 RAID10 Pair for Database Logs
2 LUN’s Are Spread Across Each RAID Pair
User Databases Are Separate Physical SQLServer
Databases
Staging Database (Optional) Used for Loading and to
Minimize Fragmentation
19. You can implement it simply when creating
table:
With (Data_Compression=ROW)
or after creating table:
Alter Table [Name] REBUILD
WITH(Data_Compression=ROW)
20. SQL Server 2008 R2 introduces the SQL
Server Utility for managing multiple
instances of the SQL Server Database
Engine.
In SQL Server Management Studio,
organizations will gain insights into their
growing applications and SQL Server
instances
21. Consolidation management
Use a new explorer in SQL Server
Management Studio to access the central
management for multi-server management and
at-a-glance dashboard views
Improve service levels
Set policies to define desired utilization
thresholds across target servers or applications
within a new central management point.
Identify issues with instances and applications
24. It also introduces a unit of management
called a data-tier application that provides
an application-based view for managing the
data-tier objects in the SQL Server Utility or
stand-alone instances of the Database
Engine.
R2 makes it easier for DBAs to move
databases around from server to server in
much the same way virtualization admins
move guest OS’s around between physical
hosts.
25. SQL Server 2008 R2 still has the same
concept of databases, but it’s added a new
level above databases called Data-Tier
Applications, abbreviated DAC
The DAC includes the database schema
plus some server-level objects required in
order to support the database, like logins.
The DAC does not include the data inside
your database.
26. For deployment best practices, you should
have any necessary data (configuration
tables, basic lookup tables) already scripted
out as part of your deployment strategy.
With the DAC approach, it makes sense to
put these scripts inside the database as
objects. For example, you might have a
stored procedure called usp_deploy that
populates all of the necessary configuration
tables via insert statements.
27. Developers create and update their
database schema, stored procedures,
functions, etc. inside Visual Studio,
packaging them into DAC Packs, and
handing them to the database administrator.
29. SQL Server installs by creating sysprep-ed
images of SQL Server standalone instances
that can be copied and quickly installed on
target systems.
Enables rapid provisioning and configuration
using prepared images stored in VHDMart
for Hyper-V deployments.
30. SQL Server 2008 Sysprep accomplishes the
install in two phases behind the scenes:
prepare and configure.
In SQL Server 2008 R2, two new SQL
Server setup actions are exposed to the
users: PrepareImage (also referred to as
“prepare”) and CompleteImage (also
referred to as “complete” or “configure”).
31. SQL Server PrepareImage takes about 30 minutes
for Engine and RS components, whereas
CompleteImage takes a few minutes.
Windows SysPrep process can be run in between
the two steps to create Windows OS image and
deploy to target computers, but is not a required
step.
These two steps can be run back-to-back on the
same computer. Sysprep will be able to save on
the average an estimated 30 minutes per install.
32. Empower your business units and users to
create and share BI solutions through
familiar and intuitive tools
SQL Server PowerPivot Add-in for
Excel(formerly known as "Gemini)
SharePoint 2010 based Operations Dashboard
SQL Server Reporting Services Report Builder
3.0
Rich visualization of geospatial data
33. So, what is PowerPivot then?
New client and server components for self-
service, managed BI
Client component lights up Excel 2010
Huge data capacities and mash-ups
In-memory SSAS data model
Server component lights up in SharePoint 2010
Integrated SSAS service to handle data models
Excel Services used to render spreadsheets
34. PowerPivot client tool
Add-in for Excel 2010
Provides SSAS engine, PowerPivot UI
Creates in-memory database model
Gather data for analysis
Load & Prepare Data option
Connect to data sources (lots of options)
Import data into PowerPivot tab
Select columns, filter data as needed
35. Describe how data is related
Inform PowerPivot of data relationships
Supports basic PK-FK type relationships
Create basic data model
Use expressions (DAX) to add calculations
Includes many Excel functions
Expressions based on columns, not cells
36. Use pivot-tables and pivot-charts
Updated task pane for selecting data
Data elements grouped by PowerPivot tab
Use as dimensions or measures as appropriate
New and updated visualizations
Slicers (excellent!)
Sparklines (excellent!)
Improved icon sets, data bar formatting
Improved chart options and performance
38. Master Data Services helps enterprises
standardize the data people rely on to make
critical business decisions.
With Master Data Services, IT organizations
can centrally manage critical data assets
companywide and across diverse systems,
enable more people to securely manage
master data directly, and ensure the integrity
of information over time.
40. Master Data Services is a Master Data
Management application that consists of the
following components and tools
Master Data Services Configuration Manager,
Master Data Manager
Master Data Services Web service
41. Master data hub that provides central
management of master data entities and
hierarchies and collections
Thin-client stewardship portal that provides
secure, role-based Web access to master
data
Versioning of all data entities and
hierarchies
Human workflow that notifies assigned
owners by e-mail of business rule violations
42. Flexible and extensible business rules that
safeguard the quality of data entered in the
master data hub
Support for a broad range of hierarchy and
attribute management strategies and
requirements
Comprehensive role-based security model
that enables fine-grained, secure access to
master data
44. Models are the highest level of data
organization in Master Data Services
Entities
Attributes and attribute groups
Hierarchies (derived and explicit)
Collections
46. Data volumes are exploding with event data
streaming from sources such as RFID,
sensors and web logs
The size and frequency of the data make it
challenging to store for data mining and
analysis.
The ability to monitor, analyze and take
business decisions in near real-time
47. SQL Server StreamInsight’s ability to derive
insights from data streams and act in near real
time provides significant business benefits. Some
of the possible scenarios include:
Algorithmic trading and fraud detection for financial
services
Industrial process control (chemicals, oil and gas) for
manufacturing
Electric grid monitoring and advanced metering for
utilities
Click stream web analytics
Network and data center system monitoring.
50. Events
Represent the user payload along with temporal
characteristics
Streams
Sequence of events
Flows into (one or more) standing queries in StreamInsight
engine
Queries
Operate on event streams
Apply desired semantics on events
Adapters
Convert custom data from event sources to / from
StreamInsight events
51. Database Applications Event-driven Applications
Query Ad-hoc queries or Continuous standing
Paradigm requests queries
Latency Seconds, hours, days Milliseconds or less
Data Rate Hundreds of events/sec Tens of thousands of
events/sec or more
Event
request
output
input stream
response stream
52. Latency
Months
CEP Target Scenarios
Days
Hours Relational Database Applications
Operational Analytics
Applications, Logistics, etc.
Minutes Data Warehousing
Applications
Seconds Web Analytics Applications
100 ms Monitoring Manufacturing
Financial Trading
Applications Applications
< 1 ms Applications
0 10 100 1,000 10,000 100,000 ~1million
Aggregate Data Rate (Events/sec)
53. Analysis of Click Streams on MSN.com
Web Server log streamed into StreamInsight
Categorizing user behavior based on URL:
Click targets
Search keywords
Segmentation of user IDs into markets
Adapting navigational structure and ad placement in
real time
Patterns over time windows: user first clicks PageA,
then PageB, then PageC within X seconds
High performance requirements
Millions of online users
Low latency (seconds)
Possible late events
54. New Editions
2 new premium editions to meet the needs of
large scale datacenters and data warehouses
New R2 Technologies
Application and Multi-Server Management
Managed Self-Service Business Intelligence
Master Data Services
StreamInsight Complex Event Processing
Technology
55. New R2 Solutions
PowerPivot for SharePoint
PowerPivot for Excel
Parallel Data Warehouse
Fast Track Data Warehouse
56. SQL Server 2008 R2 High Availability and
Windows 2008 R2 Group Policy Changes
http://sqlwindows1209.eventbrite.com