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Microsoft SQL Server 2019 - Querying SQL Server
Course Description This course provides students with the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server. You will learn how to write queries that return data from tables as well as create, update, or delete data in a database. These queries will allow filtering and sorting and effectively use the various data types provided by SQL Server. This course also covers the use of dynamic tables of various sorts which can allow a more sophisticated SQL user to hide implementation details from other end users accessing data from reporting tools. Finally, the course will provide details on the what and how of error handling and transaction management. This course is the foundation for all SQL Server-related disciplines; namely, Database Administration, Database Development and Business Intelligence. The primary target audience for this course is: Database Administrators, Database Developers and BI professionals. In this course, you will learn how to: Understand the similarities and differences between Transact-SQL and other computer languages. Write SELECT queries Query multiple tables Sort and filter data Describe the use of data types in SQL Server Modify data using Transact-SQL Use built-in functions Group and aggregate data Use subqueries Use table expressions Use set operators Use window ranking, offset and aggregate functions Implement pivoting and grouping sets Execute stored procedures Program with T-SQL Implement error handling Implement transactions Instructor: James Ring-HowellCourse Video Content: 10 Hours 5 MinutesTest Questions: 75 Course Content Module 1 - Query Tools1.1 Course Introduction1.2 Module 1 Introduction1.3 Intro to Management Studio1.4 Intro to command-line query toolsModule 2 - Introduction to T-SQL Querying2.1 Module 2 Introduction2.2 Introducing T-SQL2.3 Understanding Sets2.4 Understanding the Logical Order of Operations in SELECT statementsModule 3 - Basic SELECT Queries3.1 Module 3 Introduction3.2 Writing Simple SELECT Statements3.3 Eliminate Duplicates with DISTINCT3.4 Using Column and Table Aliases3.5 Write Simple CASE ExpressionsModule 4 - Querying Multiple Tables4.1 Module 4 Introduction4.2 Understanding Joins4.3 Querying with Inner Joins4.4 Querying with Outer Joins4.5 Querying with Cross Joins and Self JoinsModule 5 - Sorting and Filtering Data5.1 Module 5 Introduction5.2 Sorting Data5.3 Filtering Data with Predicates5.4 Filtering with the TOP and OFFSET-FETCH5.5 Working with Unknown ValuesModule 6 - Working with SQL Server Data Types6.1 Module 6 Introduction6.2 Writing Queries that return Date and Time Data6.3 Writing Queries that use Date and Time Functions6.4 Writing Queries that return Character Data6.5 Writing Queries that use Character FunctionsModule 7 - Using DML to Modify Data7.1 Module 7 Introduction7.2 Inserting Records with DML7.3 Updating Records Using DML7.4 Deleting Records Using DMLModule 8 - Using Built-In Functions8.1 Module 8 Introduction8.2 Writing Queries with Built-In Functions8.3 Using Conversion Functions8.4 Using Logical Functions8.5 Using Functions to Work with NULLModule 9 - Grouping and Aggregating Data9.1 Module 9 Introduction9.2 Using Aggregate Functions9.3 Using the GROUP BY Clause9.4 Filtering Groups with HAVINGModule 10 - Using Subqueries10.1 Module 10 Introduction10.2 Writing Self-Contained Subqueries10.3 Writing Correlated Subqueries10.4 Using the EXISTS Predicate with SubqueriesModule 11 - Using Table Expressions11.1 Module 11 Introduction11.2 Using Views11.3 Using Inline Table-Valued Functions11.4 Using Derived Tables11.5 Using Common Table ExpressionsModule 12 - Using Set Operators12.1 Module 12 Introduction12.2 Writing Queries with the UNION operator12.3 Using EXCEPT and INTERSECT12.4 Using APPLYModule 13 - Using Window Ranking, Offset, and Aggregate Functions13.1 Module 13 Introduction13.2 Creating Windows with OVER13.3 Exploring Window FunctionsModule 14 - Pivoting and Grouping Sets14.1 Module 14 Introduction14.2 Writing Queries with PIVOT and UNPIVOT14.3 Working with Grouping SetsModule 15 - Implementing Error Handling15.1 Module Introduction15.2 Implementing T-SQL error handling15.3 Implementing structured exception handlingModule 16 - Managing Transactions16.1 Module 16 Introduction16.2 Transactions and the Database Engine16.3 Controlling Transactions16.4 Course Wrap Up LEARN365 Courses Include 12 Months Unlimited Online Access to: Expert Instructor-Led Training: Learn 365 uses only the industry's finest instructors in the IT industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courseware includes instructor-led demonstrations and visual presentations that allow students to develop their skills based on real world scenarios explained by the instructor. Learn 365 always focuses on real world scenarios and skill-set development. Quizzes andamp; Exam Simulators: Learn 365's custom practice exams prepare you for your exams differently and more effectively than the traditional exam preps on the market. You will have practice quizzes after each module to ensure you are confident on the topic you have completed before proceeding. This will allow you to gauge your effectiveness before moving to the next module in your course. Learn 365 courses also include practice exams designed to replicate and mirror the environment in the testing center. These exams are on average 100 questions to ensure you are 100% prepared before taking your certification exam. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Microsoft SQL Server 2019 Administration
Course Description With this course, students can learn about SQL Server installation, data storage, data recovery, monitoring, security, and maintenance. Instructor James Ring-Howell brings with him over 40 years of applicable IT experience and has taught technical courses for over two decades. This Microsoft SQL Server 2019 Admin course is specifically for obtaining working IT skills and is not certification-specific training. The primary audience for this course is individuals who administer and maintain SQL Server databases. These individuals perform database administration and maintenance as their primary area of responsibility or work in environments where databases play a key role in their primary job. The secondary audience for this course is individuals who develop applications that deliver content from SQL Server databases. Install and Configure SQL Server 2019 Work with Databases and Storage Plan and Implement a Backup Strategy Restore SQL Server 2019 Databases Import and Export Data Monitor SQL Server 2019 Manage SQL Server Security Audit Data Access and Encrypt Data Perform Ongoing Database Maintenance Automate SQL Server 2019 Management Monitor SQL Server 2019 by Using Alerts and Notifications Microsoft SQL Server is a relational database management system (RDBMS) that supports a wide variety of transaction processing, business intelligence, and analytics applications in corporate IT environments. Microsoft SQL Server is one of the three market-leading database technologies, along with Oracle Database and IBM's DB2. Like other RDBMS software, Microsoft SQL Server is built on top of SQL, a standardized programming language that database administrators (DBAs) and other IT professionals use to manage databases and query the data they contain. SQL Server is tied to Transact-SQL (T-SQL), an implementation of SQL from Microsoft that adds a set of proprietary programming extensions to the standard language. This course provides students with the knowledge and skills to maintain a Microsoft SQL Server 2019 database. The training focuses on teaching individuals how to use SQL Server 2019 product features and tools related to maintaining the server environment and the databases it contains and is designed for customers who are interested in learning SQL Server 2016, SQL 2017, or SQL Server 2019. It covers the new features in SQL Server 2019, but also the important capabilities across the SQL Server data platform. Topics include Installation, Data Storage, Data Maintenance and Recovery, Monitoring, Security, and Server Maintenance. This course requires that you meet the following prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality. Working knowledge of Transact-SQL. Working knowledge of relational databases. Some experience with database design is recommended.Course Video Content: 6 Hours 24 MinutesTest Questions: 75 Course Content Module 1: Installation SQL Admin Intro Installation Module 2: Data Storage Introduction to Data Storage with SQL Server Managing Storage for System Databases Managing Storage for User Databases Moving Database Files Module 3: Data Recover Intro to Data Recovery Understanding SQL Server Recovery Models Planning a Backup Strategy Backing up Databases and Transaction Logs Using SSMS For Backup Understanding the Restore Process How to Restore a Database Using SSMS For Restore T-SQL Backup and Restore Advanced Restore Scenarios Introduction to Transferring Data Importing and Exporting Table Data Copying or Moving a Database Module 4: Monitoring Introduction to Monitoring SQL Server Dynamic Management Views and Functions Server Reports System Performance Monitor Tracing SQL Server Workload Activity Extended Events Database Tuning Advisor Module 5: Security Introduction to SQL Server Security Managing Server-Level Security Managing Database-Level Security Row Level Security (RLS) Using Policies Database Security Tools Contained Database Auditing Data Access in SQL Server Implementing Transparent Data Encryption Module 6: Maintenance Introduction to Maintenance Ensuring Database Integrity Maintaining Indexes Automating Routine Database Maintenance Automating SQL Server Management Monitoring SQL Server Errors Configuring Database Mai LEARN365 Courses Include 12 Months Unlimited Online Access to: Expert Instructor-Led Training: Learn 365 uses only the industry's finest instructors in the IT industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courseware includes instructor-led demonstrations and visual presentations that allow students to develop their skills based on real world scenarios explained by the instructor. Learn 365 always focuses on real world scenarios and skill-set development. Quizzes andamp; Exam Simulators: Learn 365's custom practice exams prepare you for your exams differently and more effectively than the traditional exam preps on the market. You will have practice quizzes after each module to ensure you are confident on the topic you have completed before proceeding. This will allow you to gauge your effectiveness before moving to the next module in your course. Learn 365 courses also include practice exams designed to replicate and mirror the environment in the testing center. These exams are on average 100 questions to ensure you are 100% prepared before taking your certification exam. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Microsoft SQL Server 2019 Standard
Microsoft SQL Server 2019 Standard - The high-performance and secure database The Microsoft SQL Server is Microsoft's professional, high-performance database server for medium-sized and large companies. Microsoft SQL Server 2019 Standard is a completely revised version of the relational database system. Improved support for alternative systems such as Linux, integrated Big Data analysis tools and enhanced security features speak for the Microsoft SQL Server 2019 Standard. At Blitzhandel24 you have the opportunity to buy Microsoft SQL Server 2019 Standard - of course at particularly attractive conditions and, as always, with lightning delivery. What are the features of Microsoft SQL Server 2019 Standard? Microsoft SQL Server 2019 Standard brings with it a whole range of powerful new features. Probably the most prominent and eagerly awaited new feature is the integration of Big Data clusters into the SQL Server environment. With support for the Hadoop Distributed File System (HDFS) and built-in analytics capabilities, Big Data analysis becomes even easier. Spark queries can be used as both data sources and data sinks with Microsoft SQL Server 2019 Standard. Compared to other data entry options, this enables a performance increase by a factor of ten. Extremely flexible deployment Since version 2016, Microsoft SQL Server has already supported the execution of T-SQL queries to retrieve data from Hadoop sources and further process it in a structured form. With Microsoft SQL Server 2019 Standard as a full version, you now have the option of addressing other data sources such as MongoDB, other SQL servers or Oracle databases in this way. This greatly simplifies the integration of Microsoft SQL Server 2019 Standard into diverse database ecosystems. The interfaces for specialized programming and scripting languages have also been further expanded and modernized. For example, it is now possible to access the data records of an MS-SQL database directly in R. This makes the extremely high-performance server increasingly interesting for data analysts and scientists as well. Support for Linux as the host operating system for Microsoft SQL Server 2019 Standard has been greatly improved. On the one hand, this means easier administration, but above all higher performance and lower resource consumption. Use within Docker containers is also possible. Big Data cluster images for Kubernetes are also available. It is also possible to implement instances of SQL Server on Microsoft's in-house cloud infrastructure Azure. This means additional flexibility and even easier scalability. Parallel use of local and Azure-connected databases is also possible. What is the Microsoft SQL Server 2019 Standard full version? Microsoft SQL Server 2019 Standard is a relational database . Equally usable on Windows servers as Linux systems and equipped with a wide range of interfaces, the MS SQL Server is not only extremely reliable, but also very versatile. Who should buy the Microsoft SQL Server 2019 Standard? With the SQL Server, Microsoft primarily targets medium-sized and larger businesses and organizations that need a reliable solution for managing large data sets. However, the Microsoft SQL Server 2019 Standard in full version is also interesting for scientists and data analysts. With interfaces for R and Python, Microsoft SQL Server Standard 2019 also represents a highly stable and reliable database solution for such users. Why should you buy Microsoft SQL Server 2019 Standard? Microsoft SQL Server has been considered the most secure database server for years and is listed in the NIST Vulnerabilities Database as the least vulnerable SQL server to attacks. At the same time, databases implemented using Microsoft SQL are extremely stable and therefore highly available. The performance, especially when processing larger data sets and queries, is absolutely convincing. The widespread use of Microsoft SQL Server also ensures that professionally trained employees are readily available on the job market. Are you still not sure whether you want to buy Microsoft SQL Server 2019 Standard? Feel free to contact us by mail, phone or directly here on our website. Our team will be happy to advise and inform you about the licenses we offer and support you in your decision-making process. Scope of delivery: - Product Key for the use of Microsoft SQL Server 2019 Standard - Number of Users: 1 Server License, Multilanguage, 64-Bit - Verified Highspeed Downloadlink to get the software fast & secure. - Invoice in your name including VAT. - Instructions for easy installation. Note: This offer does not include a product key sticker (COA label). This offer is intended for private as well as corporate, business customers, government agencies, organizations, schools, communities and churches.
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Microsoft SQL Server 2019 Enterprise 2 Core
Perpetual license for sale to small and medium enterprises. Core License. Customers who choose this licensing model must license all physical cores on the physical server. A minimum of 4 core licenses per physical processor is required. You do not need client access licenses because core licensing allows any number of users to access the software from any number of devices. Apply intelligence to all your data with Microsoft SQL Server 2019. Whether your data is structured or unstructured, you can query and analyze it with the data platform with industry-leading performance and security. Microsoft SQL Server 2019 Enterprise Edition is ideal for applications that require mission-critical in-memory performance, security, and high availability. Microsoft SQL Server 2019 now features Apache Spark and Hadoop Distributed File System (HDFS) to intelligently leverage all data. With Microsoft SQL Server 2019 Standard Edition, customers can deploy Big Data Clusters. Microsoft SQL Server 2019 Big Data Clusters makes it easy to manage a Big Data environment. Analyze any type of data Gain insights from all your data by querying relational, non-relational, structured and unstructured data to get a complete picture of your business with SQL Server 2019 and integrated Apache Spark. Choose your language and platform Get the flexibility to use the language and platform of your choice with open source support. Run SQL Server on Linux containers with Kubernetes support or on Windows. Rely on industry-leading performance Benefit from breakthrough scalability and performance to improve the stability and responsiveness of your database-without making changes to the application. Benefit from high availability for mission-critical applications, data warehouses, and data lakes. Rely on nine years of proven security Achieve your security and compliance goals with the database that has been rated least vulnerable for the last nine years. Stay ahead of the curve with built-in data classification, data protection, monitoring, and alerting capabilities. Make faster and better decisions Turn data into answers by leveraging the enterprise reporting capabilities of SQL Server Reporting Services along with the included Power BI Report Server, which gives your users access to rich, interactive Power BI reports on any device. Hardware requirements To use SQL Server 2019 Enterprise in an environment, the following hardware and software requirements must be met: Supported operating systems: Windows 10, Windows Server 2019, 2012 R2 Hard drive: At least 6 GB of available hard drive space - depending on the SQL Server components installed. Graphics: Super VGA graphics card with a minimum resolution of 800x600 pixels. Minimum memory: 4 GB Processor type: x64 processor: AMD Opteron, AMD Athlon 64, Intel Xeon with Intel EM64T support, Intel Pentium IV with EM64T support Processor speed: 1.4 GHz - recommended: 2.0 GHz or faster
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Is it possible to use a SQL database in Visual Studio 2019 without using SQL Server?
Yes, it is possible to use a SQL database in Visual Studio 2019 without using SQL Server by utilizing SQLite. SQLite is a lightweight, file-based database management system that can be easily integrated into Visual Studio projects. It allows developers to create and interact with SQL databases without the need for a separate SQL Server installation. SQLite is a popular choice for small to medium-sized applications or projects that do not require the full capabilities of SQL Server.
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What should I learn next: C#, WPF, or Microsoft SQL Server?
It depends on your specific goals and interests. If you are interested in developing software applications, learning C# would be a good choice as it is a versatile programming language commonly used for building Windows applications. If you are interested in creating user interfaces for your applications, learning WPF (Windows Presentation Foundation) would be beneficial as it is a framework for building desktop applications with rich user interfaces. If you are more interested in database management and working with data, learning Microsoft SQL Server would be a valuable skill as it is a popular relational database management system used in many organizations. Ultimately, consider your career goals and what type of projects you want to work on to determine which technology to learn next.
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Why can't Apache2 be started on Microsoft Windows Server 2019?
Apache2 may not be able to start on Microsoft Windows Server 2019 due to several reasons. One common reason could be that there is a port conflict with another application running on the server. Another reason could be that the necessary permissions are not set up correctly for Apache2 to run on the server. Additionally, there could be issues with the Apache2 configuration files or dependencies that are preventing it from starting. Troubleshooting these issues and ensuring that the server environment is properly set up for Apache2 to run can help resolve the issue.
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Is SQL injection still possible in 2019?
Yes, SQL injection is still possible in 2019. Despite advancements in security measures and awareness about this vulnerability, many websites and applications are still vulnerable to SQL injection attacks. It remains a common attack vector for hackers to exploit and gain unauthorized access to databases. It is crucial for developers to implement proper input validation and parameterized queries to prevent SQL injection attacks.
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Microsoft SQL Server 2019 Standard 2 Core
Microsoft SQL Server 2019 Standard2 Core SQL Server 2019 delivers innovative security and compliance features, industry-leading performance, mission-critical availability, and advanced analytics for all your data workloads, now with built-in support for Big Data. Intelligence for any data SQL Server is a central node for data integration. Deliver transformative insights into structured and unstructured data with the power of SQL Server and Spark. Choice of language and platform Create modern applications with innovative features in your language and on your platform. Now also under Windows, Linux and containers. Industry leading performance Benefit from trend-setting scalability, performance and availability for mission-critical, intelligent applications, data warehouses and data lakes. Advanced security features Protect dormant and actively used data. SQL Server has been the least vulnerable database in the NIST Vulnerabilities Database for over seven years. Make faster and better decisions Power BI Report Server gives your users access to rich, interactive Power BI reports and the reporting capabilities of SQL Server Reporting Services. SQL Server technologies: Bank module: The database module is the core service for storing, processing and backing up data. The database module provides controlled access and fast transaction processing. So you can also meet high requirements of data processing applications in your company. The database module also provides a wide range of support for maintaining high availability. R-Services: Microsoft R Services offers several ways to integrate the popular R language into enterprise workflows. R Services (In-Database) integrates the R language with SQL Server, so you can easily create, retrain and evaluate models by calling stored Transact-SQL procedures. Microsoft R Server provides scalable support for R in the enterprise on multiple platforms and supports data sources such as Hadoop and Teradata. Data Quality Services: SQL Server Data Quality Services (DQS) provides a knowledge-driven data cleansing solution. DQS allows you to create a knowledge base and then use that knowledge base to perform data correction and deduplication for your data using computer-aided and interactive means. You can use cloud-based reference data services and create a data management solution that integrates DQS with SQL Server Integration Services and Master Data Services. Integration Services: Integration Services is a design platform for high-performance data integration solutions, including data warehouse packages for extracting, transforming and loading (ETL) data. Master Data Services: Master Data Services is the SQL Server solution for master data management. A solution built on Master Data Services ensures that reporting and analysis are based on the right information. With Master Data Services, you create a central repository for master data and manage a monitorable and secure record of that data as it changes over time. Analysis Services: Analysis Services is a platform for analytical data and a business intelligence toolset for individuals, teams and companies. Server and client designers support traditional OLAP solutions, new table modeling solutions, and self-service capabilities for analysis and collaboration with Power Pivot, Excel, and a SharePoint Server environment. Analysis Services also includes data mining to help you identify the patterns and relationships hidden in large volumes of data. Replication: Replication is a set of technologies for copying and distributing data and database objects from one database to another and then synchronizing the databases to ensure data consistency. With replication, you can distribute data to multiple locations, remote or mobile users over local and wide area networks (WANs), dial-up connections, wireless connections, or the Internet. Reporting Services: Reporting Services provides Web-based reporting functionality for enterprises, so you can create reports that pull content from a variety of data sources, publish reports in a variety of formats, and centrally manage subscriptions and security. Scope of delivery: - Product Key for the use of Microsoft SQL Server 2019 Standard2 Core - Number of users: 1 server license, multilanguage, 64-bit - Verified high-speed download link to obtain the software quickly & securely. - Invoice in your name incl. VAT. - Instructions for easy installation. Note: This offer does not include a product key sticker (COA label) This offer is aimed at private individuals as well as companies, business customers, authorities, organisations, schools, communities and churches.
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Microsoft SQL Server 2019 Analysis Services (SSAS)
Course Description Analysis Services is a combination of two analytical engines (VertiPaq for multidimensional cubes and Data Mining and xVelocity for Tabular Data Models) used in decision support and business analytics. It provides enterprise-grade semantic data model capabilities for business intelligence (BI), data analysis, and reporting applications such as Power BI, Excel, Reporting Services, and other data visualization tools. This course provides a full introduction to the use of both of these engines in an enterprise environment. You will learn about creating cubes and their constituent components, the use of MDX to query the cubes, as well as how to customize a cube with KPI, actions, perspectives, and language translations. You will also learn about the differences and similarities between cubes and tabular data models, how to create a tabular data model, and the use of DAX to query the model.The third major component of the course is a form of Machine Learning called Data Mining. Data Mining is the analysis of large data set to reveal hidden patterns and trends. This course will teach you how to create a Data Mining solution, how to compare and validate different data mining options (models) for a given data set, and how to use your chosen model in a consumer-friendly client.Key Learning Topics In This Course You will learn about creating cubes and their constituent components The use of MDX to query the cubes How to customize a cube with KPI, actions, perspectives, and language translations. Differences and similarities between cubes and tabular data models, How to create a tabular data model The use of DAX to query the model. Course Video Content: 8 Hours 56 MinutesTest Questions: 75 Course Content Module 1 - Introduction to Business Intelligence and Data Modeling1.1 Course Introduction1.2 Module 1 Introduction1.3 Introduction to Business Intelligence1.4 The Microsoft Business Intelligence Platform1.5 Exploring a Data Warehouse1.6 Exploring a Data ModelModule 2 - Multidimensional Databases2.1 Module 2 Introduction2.2 Introduction to Multidimensional Analysis2.3 Overview of Cube Security2.4 Creating and Configuring a Cube2.5 Data Sources2.6 Data Source Views2.7 Adding a Dimension to a CubeModule 3 - Cubes and Dimensions3.1 Module 3 Introduction3.2 Dimensions3.3 Attribute Hierarchies and Relationships3.4 Sorting and Grouping Attributes3.5 Slowly Changing DimensionsModule 4 - Measures and Measure Groups4.1 Module 4 Introduction4.2 Measures4.3 Measure Groups and Relationships4.4 Measure Group StorageModule 5 - Introduction to MDX5.1 Module 5 Introduction5.2 MDX Fundamentals5.3 Adding Calculations to a Cube5.4 Querying a cube using MDXModule 6 - Customizing Cube Functionality6.1 Module 6 Introduction6.2 Key Performance Indicators6.3 Actions6.4 Perspectives6.5 TranslationsModule 7 - Tabular Data Models7.1 Module 7 Introduction7.2 Introduction to Tabular Data Models7.3 Creating a Tabular Data Model7.4 Configure Relationships and Attributes7.5 Configuring Data Model for an Enterprise BI SolutionModule 8 - Data Analysis Expressions (DAX)8.1 Module 8 Introduction8.2 DAX Fundamentals8.3 Calculated Columns8.4 Relationships8.5 Measures8.6 Time Intelligence8.7 KPI8.8 Parent - Child HierarchiesModule 9 - Data Mining9.1 Module 9 Introduction9.2 Overview of Data Mining9.3 Custom Data Mining Solutions9.4 Validating a Data Mining Model9.5 Consuming a Data Mining Model9.6 Course Wrap Up LEARN365 Courses Include 12 Months Unlimited Online Access to: Expert Instructor-Led Training: Learn 365 uses only the industry's finest instructors in the IT industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courseware includes instructor-led demonstrations and visual presentations that allow students to develop their skills based on real world scenarios explained by the instructor. Learn 365 always focuses on real world scenarios and skill-set development. Quizzes andamp; Exam Simulators: Learn 365's custom practice exams prepare you for your exams differently and more effectively than the traditional exam preps on the market. You will have practice quizzes after each module to ensure you are confident on the topic you have completed before proceeding. This will allow you to gauge your effectiveness before moving to the next module in your course. Learn 365 courses also include practice exams designed to replicate and mirror the environment in the testing center. These exams are on average 100 questions to ensure you are 100% prepared before taking your certification exam. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Microsoft SQL Server 2019 - Big Data Training Course
Course Description This course focuses on one of SQL Server 2019’s most impactful features—Big Data Clusters. You will learn about data virtualization and data lakes for this complete artificial intelligence (AI) and machine learning (ML) platform within the SQL Server database engine. You will be shown how to use Big Data Clusters to combine large volumes of streaming data for analysis along with data stored in a traditional database. For instance, you can stream large volumes of data from Apache Spark in real-time while executing Transact-SQL queries to bring in relevant additional data from your corporate, SQL Server database. This course provides everything necessary to get started working with Big Data Clusters in SQL Server 2019. You will learn about the architectural foundations that are made up from Kubernetes, Spark, HDFS, and SQL Server on Linux. You will be shown how to configure and deploy Big Data Clusters. You will be ready to use and unveil the full potential of SQL Server 2019: combining different types of data spread across widely disparate sources into a single view that is useful for business intelligence and machine learning analysis. What a Big Data Cluster is How to deploy BDC How to analyze large volumes of data directly from SQL Server How to analyze large volumes of data via Apache Spark How to manage data stored in HDFS from SQL Server as if it were relational data How to implement advanced analytics solutions through machine learning How to expose different data sources as a single logical source using data virtualization This course is intended for data engineers, data scientists, data architects, and database administrators who want to employ data virtualization and big data analytics in their environments. Course Video Content: 7 Hours 6 MinutesTest Questions: 75 Course Content Module 1: What are Big Data Clusters?1.1 Introduction1.2 Linux, PolyBase, and Active Directory1.3 ScenariosModule 2: Big Data Cluster Architecture2.1 Introduction2.2 Docker2.3 Kubernetes2.4 Hadoop and Spark2.5 Components2.6 EndpointsModule 3: Deployment of Big Data Clusters3.1 Introduction3.2 Install Prerequisites3.3 Deploy Kubernetes3.4 Deploy BDC3.5 Monitor and Verify DeploymentModule 4: Loading and Querying Data in Big Data Clusters4.1 Introduction4.2 HDFS with Curl4.3 Loading Data with T-SQL4.4 Virtualizing Data4.5 Restoring a DatabaseModule 5: Working with Spark in Big Data Clusters5.1 Introduction5.2 What is Spark5.3 Submitting Spark Jobs5.4 Running Spark Jobs via Notebooks5.5 Transforming CSV5.6 Spark-SQL5.7 Spark to SQL ETLModule 6: Machine Learning on Big Data Clusters6.1 Introduction6.2 Machine Learning Services6.3 Using MLeap6.4 Using Python6.5 Using RModule 7: Create and Consume Big Data Cluster Apps7.1 Introduction7.2 Deploying, Running, Consuming, and Monitoring an App7.3 Python Example - Deploy with azdata and Monitoring7.4 R Example - Deploy with VS Code and Consume with Postman7.5 MLeap Example - Create a yaml file7.6 SSIS Example - Implement scheduled execution of a DB backupModule 8: Maintenance of Big Data Clusters8.1 Introduction8.2 Monitoring8.3 Managing and Automation8.4 Course Wrap Up LEARN365 Courses Include 12 Months Unlimited Online Access to: Expert Instructor-Led Training: Learn 365 uses only the industry's finest instructors in the IT industry. They have a minimum of 15 years real-world experience and are subject matter experts in their fields. Unlike a live class, you can fast-forward, repeat or rewind all your lectures. This creates a personal learning experience and gives you all the benefit of hands-on training with the flexibility of doing it around your schedule 24/7. Visual Demonstrations andamp; Multimedia Presentations: Our courseware includes instructor-led demonstrations and visual presentations that allow students to develop their skills based on real world scenarios explained by the instructor. Learn 365 always focuses on real world scenarios and skill-set development. Quizzes andamp; Exam Simulators: Learn 365's custom practice exams prepare you for your exams differently and more effectively than the traditional exam preps on the market. You will have practice quizzes after each module to ensure you are confident on the topic you have completed before proceeding. This will allow you to gauge your effectiveness before moving to the next module in your course. Learn 365 courses also include practice exams designed to replicate and mirror the environment in the testing center. These exams are on average 100 questions to ensure you are 100% prepared before taking your certification exam. Social Learning andamp; Networking: Learn 365 has designed a world class Learning Management System (LMS). This system allows you to interact and collaborate with other students and Learn 365 employees, form study groups, engage in discussions in our NOW@ Forums, rate and like different courses and stay up to date with all the latest industry knowledge through our forums, student contributions and announcement features. Flash Cards andamp; Educational Games: IT online learning knows that education is not a one size fits all approach. Students learn in different ways through different tools. That is why we provide Flash Cards and Education Games throughout our courses. This will allow you to train in ways that keep you engaged and focused. Each course will have dozens of Flash Cards so you can sharpen your skill-sets throughout your training as well as educational games designed to make sure your retention level of the materials is extremely high. Navigation and Controls: Learn 365's self-paced training programs are designed in a modular fashion to allow you the flexibility to work with expert level instruction anytime 24/7. All courses are arranged in defined sections with navigation controls allowing you to control the pace of your training. This allows students to learn at their own pace around their schedule. Certificate of Completion: Upon completion of your training course, you will receive a Certificate of completion displaying your full name, course completed as well as the date of completion. You can print this out or save it digitally to showcase your accomplishment. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Microsoft SQL Server Standard 2019 Key (Digital Download)
This product is a brand new and unused Microsoft SQL Server Standard 2019 CD Key (Digital Download)
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Is the SQL Server broken?
Without more specific information or context, it is difficult to determine if the SQL Server is broken. Common signs of a broken SQL Server could include error messages, slow performance, or inability to connect to the server. It is recommended to check the server logs, run diagnostic tests, and consult with a database administrator to determine the root cause of any issues.
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What is SQL and what does an SQL server do?
SQL, or Structured Query Language, is a programming language used to manage and manipulate data in relational databases. It allows users to create, retrieve, update, and delete data from databases, as well as define and manipulate the structure of the data. An SQL server is a software application that is used to store and manage databases, allowing multiple users to access and manipulate the data concurrently. It provides a secure and efficient way to store and retrieve data, and can handle large volumes of data and complex queries.
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Is Microsoft Outlook 2019 for 1465 reliable?
Microsoft Outlook 2019 for 1465 is a reliable email client and personal information manager. It offers a range of features for managing emails, calendars, contacts, and tasks, and is widely used by individuals and businesses. However, the reliability of the software also depends on factors such as the user's system configuration, network stability, and proper installation and maintenance. Overall, Microsoft Outlook 2019 for 1465 is considered to be a reliable and efficient tool for managing email and personal information.
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Is the SQL Community Server package damaged on the Fedora server?
To determine if the SQL Community Server package is damaged on the Fedora server, you can run the following command in the terminal: "sudo dnf check". This command will check for any problems with the installed packages, including the SQL Community Server package. If there are any issues with the package, the command will provide information on how to fix them. Additionally, you can also use the "rpm -V" command to verify the integrity of the SQL Community Server package files. If any files are reported as being modified or corrupted, it may indicate that the package is damaged.
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