Article-Images/cube-article-image4.png' alt='Microsoft Visual Studio Olap Cubes' title='Microsoft Visual Studio Olap Cubes' />James Serras Blog. There were so many good presentations at Microsoft Ignite, all of which can be viewed on demand. I wanted to list the big data related presentations that I found the most useful. Its a lot of stuff to watch and with our busy schedules can be quite challenging to view them all. What I do is set aside 4. If may take a few weeks, but if you consistently watch you will be rewarded by a much better understanding of all the product options and their uses cases, and my last blog post Use cases of various products for a big data cloud solution can be used as a summary of all these options Modernize your on premises applications with SQL Database Managed Instances More and more customers who are looking to modernize their data centers have the need to lift and shift their fleet of databases to public cloud with the low effort and cost. Weve developed Azure SQL Database to be the ideal destination, with enterprise security, full application compatibility and unique intelligent Paa. S capabilities that reduce overall TCO. In this session, through preview stories and demos learn what SQL Database Managed Instances are, and how you can use them to speed up and simplify your journey to cloud. Architect your big data solutions with SQL Data Warehouse and Azure Analysis Services Have you ever wondered whats the secret sauce that allows a company to use their data effectivelyHow do they ingest all their data, analyze it, and then make it available to thousands of end users What happens if you need to scale the solution Come find out how some of the top companies in the world are building big data solutions with Azure Data Lake, Azure HDInsight, Azure SQL Data Warehouse, and Azure Analysis Services. We cover some of the reference architectures of these companies, best practices, and sample some of the new features that enable insight at the speed of thought. Database migration roadmap with Microsoft Todays organizations must adapt quickly to change, using new technologies to fuel competitive advantage, or risk getting left behind. Organizations understand that data is a key strategic asset which, when combined with the scale and intelligence of cloud, can provide the opportunity to automate, innovate, and increase the speed of business. But every migration journey is unique, so knowing the tricks of the trade will make your journey far easier. In this session, we use real world case studies to provide details about how to perform large scale migrations. We also share information about how Microsoft is investing in making this journey simpler with Azure Database Migration Service and related tools. Whats new with Azure SQL Database Focus on your business, not on the database Azure SQL Database is Microsofts fully managed, database as a service offering based on the worlds top relational database management system, SQL Server. In this session, learn about the latest innovations in Azure SQL Database and how customers are using our managed service to modernize their applications. Our most recent version combines advanced intelligence, enterprise grade performance, high availability, and industry leading security in one easy to use database. Thanks to innovations such as In Memory OLTP, Columnstore indexes, and our most recent Adaptive Query Processing feature family, customers can rely on Azure SQL DB for their relational data management needs, from managing just a few megabytes of transactional data. Deep dive into SQL Server Integration Services SSIS 2. See how to use the latest SSIS 2. ETL workflows, transforming them into scalable hybrid ETLELT workflows. We showcase the latest additions to SSIS Azure Feature Pack, introducingimproving Azure connectivity components, and take a deep dive into SSIS Scale Out feature, guiding you end to end from cluster installation to parallel execution, to help reduce the overall runtime of your workflows. Finally, we show you how to orchestrateschedule SSIS executions using Azure Data Factory ADF and share our cloud first product roadmap towards SSIS Platform as a Service Paa. There are a tremendous amount of Microsoft products that are cloudbased for building big data solutions. Its great that there are so many products to choose from. Part time job vacancies in Malta and Europe. Part time work and employment in Malta and Europe. Find a part time job in Malta and Europe via Malta Jobs. SQL Server DBA Training Page 3 of 48 2. Installing and Configuring SQL Server Installation Unlike Oracle, Microsoft do not make their software available for download. SAP Forecasting and Replenishment for Retail for use with other merchandising software SAP Forecasting and Replenishment for Retail for use with SAP merchandising. How to determine the version, edition, and update level of SQL Server and its components. Microsoft R Client is a free data science tool for high performance analytics. With it, you can use any open source R package. SQL Server articles, scripts, and discussion groups. S. New capabilities for data integration in the cloud This session focuses on the needs of the data integrator whether that be for data warehousingBI, advanced analytics or preparation of data for Saa. S applications. We walk through, by example, a comprehensive set of new additions to Azure Data Factory to make moving and integrating data across on premises and cloud simple, scalable and reliable. Topics covered include how to lift SSIS packages to the cloud via first class SSIS support in data factory, a new serverless data factory application model and runtime capabilities, parallel data movement tofrom the cloud, a new code free experience for building and monitoring data pipelines and more. Understanding big data on Azure structured, unstructured and streaming Data is the new Electricity, and Big Data technologies are helping organizations leverage this new phenomena to foster their businesses in innovative ways. In this session, we show how you can leverage the big data services such as Data Warehousing, Hadoop, Spark, Machine Learning, and Real Time Analytics on Azure and how you can make the most of these for your business scenarios. This is a foundational session to ground your understanding on the technology, its use cases, patterns, and customer scenarios. You will see a lot of these technologies in action and get a good view of the breadth. Join this session if you want to get a real understanding of Big Data on Azure, and how the services are structured to achieve your desired outcome. Building Petabyte scale Interactive Data warehouse in Azure HDInsight Come learn to understand real world challenges associated with building a complex, large scale data warehouse in the cloud. Learn how technologies such as Low Latency Analytical Processing LLAP and Hive 2. In this session, we go deep into LLAPs performance and architecture benefits and how it compares with Spark and Presto. Its easy to create a usable and highperformance set of cubes with SSAS as long as you know the pitfalls to watch out for and possess the patience and savvy to. Expand your IT skills. Microsoft offers a wide range of online certification programs designed to help grow your skills and your career. Tableau vs Spotfire. Practical Computer Applications PCA evaluates Tableau vs Spotfire and other data visualization and BI products to select the most appropriate. We also look at how business analysts can use familiar tools such as Microsoft Excel and Power BI, and do interactive query over their data lake without moving data outside the data lake. Building modern data pipelines with Spark on Azure HDInsight You are already familiar with the key value propositions of Apache Spark. In this session, we cover new capabilities coming in the latest versions of Spark. More importantly we cover how customers are using Apache Spark for building end to end data analytics pipeline. It starts from ingestion, Spark streaming, and then goes into the details on data manipulation and finally getting your data ready for serving to your BI analysts. Azure Blob Storage Scalable, efficient storage for PBs of unstructured data Azure Blob Storage is the exa scale object storage service for Microsoft Azure. In this session, we cover new services and features including the brand new Archival Storage tier, dramatically larger storage accounts, throughput and latency improvements and more. We give you an overview of the new features, present use cases and customer success stories with Blob Storage, and help you get started with these exciting new improvements. Modernizing ETL with Azure Data Lake Hyperscale, multi format, multi platform, and intelligent Increasingly, customers looking to modernize their analytics needs are exploring the data lake approach. They are challenged by poorly integrated technologies, a variety of data formats, and inconvenient data types. We explore a modern ETL pipeline through the lens of Azure Data Lake. This approach allows pipelines to scale to thousands of nodes instantly and lets pipelines integrate code written in. NET, Python, and R. This degree of extensibility allows pipelines to handle formats such as CSV, XML, JSON, Images, etc. Editions and supported features of SQL Server 2. THIS TOPIC APPLIES TO SQL Server starting with 2. Azure SQL Database. Azure SQL Data Warehouse Parallel Data Warehouse. This topic provides details of features supported by the SQL Server editions. At this time there are no changes to features supported by editions for SQL Server 2. Installation requirements vary based on your application needs. The different editions of SQL Server accommodate the unique performance, runtime, and price requirements of organizations and individuals. Crack Do Rise And Fall Download. The SQL Server components that you install also depend on your specific requirements. The following sections help you understand how to make the best choice among the editions and components available in SQL Server. The SQL Server Evaluation edition is available for a 1. For the latest release notes and whats new information, see the following Try SQL ServerDownload SQL Server 2. Evaluation Center. Spin up a Virtual Machine with SQL Server 2. SQL Server Editions The following table describes the editions of SQL Server. SQL Server edition. Cube_Wizard_Select_Measure_Group_Tables.png' alt='Microsoft Visual Studio Olap Cubes' title='Microsoft Visual Studio Olap Cubes' />Definition. Enterprise. The premium offering, SQL Server Enterprise edition delivers comprehensive high end datacenter capabilities with blazing fast performance, unlimited virtualization, and end to end business intelligence enabling high service levels for mission critical workloads and end user access to data insights. Standard SQL Server Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on premise and cloud enabling effective database management with minimal IT resources. Web SQL Server Web edition is a low total cost of ownership option for Web hosters and Web VAPs to provide scalability, affordability, and manageability capabilities for small to large scale Web properties. Developer SQL Server Developer edition lets developers build any kind of application on top of SQL Server. It includes all the functionality of Enterprise edition, but is licensed for use as a development and test system, not as a production server. SQL Server Developer is an ideal choice for people who build. SQL Server and test applications. Express editions. Express edition is the entry level, free database and is ideal for learning and building desktop and small server data driven applications. It is the best choice for independent software vendors, developers, and hobbyists building client applications. If you need more advanced database features, SQL Server Express can be seamlessly upgraded to other higher end versions of SQL Server. SQL Server Express Local. DB, a lightweight version of Express that has all of its programmability features, yet runs in user mode and has a fast, zero configuration installation and a short list of prerequisites. Using SQL Server with an Internet Server On an Internet server, such as a server that is running Internet Information Services IIS, you will typically install the SQL Server client tools. Client tools include the client connectivity components used by an application connecting to an instance of SQL Server. NOTE Although you can install an instance of SQL Server on a computer that is running IIS, this is typically done only for small Web sites that have a single server computer. Most Web sites have their middle tier IIS systems on one server or a cluster of servers, and their databases on a separate server or federation of servers. Using SQL Server with ClientServer Applications You can install just the SQL Server client components on a computer that is running clientserver applications that connect directly to an instance of SQL Server. A client components installation is also a good option if you administer an instance of SQL Server on a database server, or if you plan to develop SQL Server applications. The client tools option installs the following SQL Server features backward compatibility components, SQL Server Data Tools, connectivity components, management tools, software development kit, and SQL Server Books Online components. For more information, see Install SQL Server. Deciding Among SQL Server Components Use the Feature Selection page of the SQL Server Installation Wizard to select the components to include in an installation of SQL Server. By default, none of the features in the tree are selected. Use the information in the following tables to determine the set of features that best fits your needs. Server components. Description SQL Server Database Engine SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full text search, tools for managing relational and XML data, in database analytics integration, and Polybase integration for access to Hadoop and other heterogeneous data sources, and the Data Quality Services DQS server. Analysis Services Analysis Services includes the tools for creating and managing online analytical processing OLAP and data mining applications. Reporting Services Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free form reports. Reporting Services is also an extensible platform that you can use to develop report applications. Integration Services Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services DQS component for Integration Services. Master Data Services Master Data Services MDS is the SQL Server solution for master data management. MDS can be configured to manage any domain products, customers, accounts and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add in for Excel that can be used to manage data. R Services In Database R Services In Database supports distributed, scalable R solutions on multiple platforms and using multiple enterprise data sources, including Linux, Hadoop, and Teradata. Management tools. Description SQL Server Management Studio SQL Server Management Studio is an integrated environment to access, configure, manage, administer, and develop components of SQL Server. Management Studio lets developers and administrators of all skill levels use SQL Server. Download and install Management Studio from Download SQL Server Management Studio SQL Server Configuration Manager SQL Server Configuration Manager provides basic configuration management for SQL Server services, server protocols, client protocols, and client aliases. SQL Server Profiler SQL Server Profiler provides a graphical user interface to monitor an instance of the Database Engine or Analysis Services. Database Engine Tuning Advisor Database Engine Tuning Advisor helps create optimal sets of indexes, indexed views, and partitions. Data Quality Client. Provides a highly simple and intuitive graphical user interface to connect to the DQS server, and perform data cleansing operations. It also allows you to centrally monitor various activities performed during the data cleansing operation. SQL Server Data Tools SQL Server Data Tools provides an IDE for building solutions for the Business Intelligence components Analysis Services, Reporting Services, and Integration Services. Formerly called Business Intelligence Development Studio. SQL Server Data Tools also includes Database Projects, which provides an integrated environment for database developers to carry out all their database design work for any SQL Server platform both on and off premise within Visual Studio. Database developers can use the enhanced Server Explorer in Visual Studio to easily create or edit database objects and data, or execute queries. Connectivity Components. Installs components for communication between clients and servers, and network libraries for DB Library, ODBC, and OLE DB. Documentation. Description SQL Server Books Online.