199 Courses delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for This course is intended for SQL Server administrators who work in a Windows network environment. At least one year of experience administering SQL Servers and using PowerShell is recommended. Overview After completing this course, students will be able to: •Install and Configure SQL Server and all its components using PowerShell •Manage day-to-day SQL Server Administration with PowerShell •Maintain the SQL Server environment using PowerShell scripting and programming options This course provides candidates with the knowledge and skills needed to use PowerShell for SQL Server administration. Students will learn how to manage day-to-day and scheduled maintenance tasks. Install and Configure SQL Server with PowerShell Install SQL Server Configure Database Settings Configure SQL Server Settings Configure SQL Server Policy-Based Management Lab 1: Configuring SQL Server with PowerShell Administering SQL Servers with PowerShell Managing Users and Roles Managing Database Performance Managing Database Availability Managing SQL Server Features Lab 1: Administering SQL Servers with PowerShell Maintaining SQL Server with PowerShell Managing Backups and Restores Maintaining Database Integrity and Performance Monitoring and Auditing Task Automation Generating Reports Lab 1: Maintaining SQL Servers with PowerShell

MySQL foundation training course description The MySQL foundation course covers the basics of the SQL language as implemented by MySQL. The course is designed to give delegates practical experience in writing SQL statements using the MySQL client program and MySQL Workbench. The basic SQL statements, including the use of SQL functions and the basic table and view handling statements are introduced. What will you learn Create, alter and drop a MySQL database. Write SQL statements. Use SQL expressions and functions. Create and alter tables, indexes and views. Use transactions. Grant and revoke access privileges. Export and import data. MySQL foundation training course details Who will benefit: Anyone who needs to access and work with a MySQL Database. Prerequisites: An understanding of databases and exposure to information technology in general would be useful. Duration 3 days MySQL foundation training course contents Database concepts What is a database? database management systems, tables, rows and columns, indexes, primary keys, unique constraints and foreign keys, client-server architecture, supported data types, storage engines and table types, Information_Schema and MySQL Databases. Hands on using a database. Using the MySQL client What is the MySQL client? getting started and logging in, selecting a database, client commands, entering and executing SQL statements, retrieving previous commands, creating, editing and executing SQL files, redirecting output into a file, command line execution of MySQL scripts. Hands on Using the MySQL client. Basic SELECT The SQL SELECT statement, case sensitivity, quotes, statement terminator, syntax conventions, SELECT clause, FROM clause, conditions and the WHERE clause, logical operators, ORDER BY clause, column aliases, arithmetic expressions, precedence of operators. Hands on querying the sample database. LIMIT, UNION and AGGREGATE functions The LIMIT clause, UNION, UNION ALL, aggregate functions, GROUP BY clause, using Rollup with GROUP BY, HAVING clause. Hands on using limit, union and aggregate functions. Subqueries and joins Subqueries, cartesian products, table aliases, natural joins, join using, join on, multi-table joins. Hands on using subqueries and joins. Numeric and character functions Function types, testing functions, numeric functions character functions. Hands on using numeric and character functions. Data, time and other functions Date and time column types, date and time formats, Date format function, functions to return date time, functions to extract components from date time, date time arithmetic, miscellaneous functions. Hands on using date, time and other functions. Databases and tables Creating a database, selecting a database, creating tables, Auto_increment, show create table, column operations, constraint operations, copying tables, renaming tables, changing engine for tables, dropping tables, temporary tables. Hands on maintaining databases and tables. Indexes and views What is an index? creating an index, reviewing indexes, dropping indexes, what is a view? creating views, view restrictions, dropping views. Hands on maintaining indexes and views. Managing data Inserting rows, replacing rows, updating rows, deleting rows, Truncate statement, The COMMIT and ROLLBACK commands, savepoints, implicit commits. Hands on managing data. Access control Creating users, renaming users, dropping users, granting privileges, revoking privileges. Hands on creating users, granting and revoking. Import and export Exporting using SQL, importing using SQL, exporting from the command line, importing from the command line. Hands on export and import data.

Oracle Database 12c Admin training course description This Oracle Database 12c Administration course is designed to give the Oracle database administrator practical experience in administering, monitoring, tuning and troubleshooting an Oracle 12c database. Database administrators will gain an understanding of the architecture and processes of the Oracle database server. They will be able to ensure the integrity and availability of a company's data within the Oracle environment. They will be able to monitor the performance of the database, allocate resources with the Resource Manager and Schedule jobs. What will you learn Administer an Oracle database instance. Monitor an Oracle database. Configure the Oracle network environment. Create and manage database storage structures. Manage users, profiles, privileges and roles. Manage undo data and temporary segments. Monitor and resolve lock conflicts. Maintain database security. Implement database auditing. Monitor the performance of the Database. Load and unload data. Use the job scheduler. Configure a database for backup and recovery. Oracle Database 12c Admin training course details Who will benefit: This Oracle Database 12c Administration course is for anyone who needs to administer, monitor and support an Oracle 12c database. Prerequisites: An understanding of relational database concepts and good operating system knowledge. They should have attended the Oracle SQL course or have a good working knowledge of Oracle SQL. Knowledge of the usage of PL/SQL packages is highly recommended. Duration 5 days Oracle Database 12c Admin training course contents Introduction to Oracle database 12c Overview of the Oracle database 12c, Overview of the Oracle Cloud, Relational database concepts, database administration tasks. Oracle Database 12c Architecture Overview of the Oracle database architecture, The Oracle database instance, Oracle Database memory structures, Process architecture and structures, Server and client processes, The Oracle database storage architecture, Connect to the Oracle database instance. Administer a database instance Administrative tools available to a DBA, Use SQL*Plus in Oracle to manage a database instance, Use SQL Developer to manage a database instance, Administer the database using Enterprise Manager (EM), Overview of the Enterprise Manager framework, Access Enterprise Manager Database Express, The Enterprise Manager Database Express Home Page, Enterprise Manager Cloud Control, Initialization parameter files. Configure the Oracle network environment Overview of network configuration, Oracle Net Listener configuration and management, Oracle Net naming methods, Tools for configuring and managing the Oracle network, Using the Net Configuration Assistant, Configure client connections with Net Manager, View listener configuration, Start and stop the Oracle listener, Use TNSPING to test Oracle Net connectivity, Connect to the database, Configure Net Services with Enterprise Manager. Storage Structures Overview of data storage, The database block, Overview of tablespaces and datafiles, Use Enterprise Manager to view the storage structure of the database, Create and alter tablespace commands, Temporary tablespaces, Create and manage datafiles, Use OMF, Drop tablespaces and datafiles. Manage users Predefined database administration accounts, User accounts, Create a user account, User authentication, Change a user's password, Manage a user account, Drop a user account, Monitor user information, Terminate user sessions. Manage profiles and resources Overview of user profiles, Profile resource parameters, Create profile command, Manage passwords with profiles, Control resource usage with profiles, Maintain profiles. Manage privileges Database access, Oracle supplied roles, System and object level privileges, The grant and revoke commands, Create, modify and drop roles, Use predefined roles. Database auditing Overview of database security, Overview of database auditing, Security compliance, Standard auditing, Unified audit trail, Separation of audit responsibilities with the AUDIT_ADMIN and AUDIT_VIEWER roles, Configure the audit trail, Specify audit options. Data concurrency and lock conflicts Levels of locking in Oracle, Methods used to acquire locks, Data concurrency, Possible causes of contention, DML locks, Prevent locking problems, Detect lock contention, Resolve conflicts. Undo management Undo data overview, Monitor and administer undo, Configure undo retention, Switch undo tablespaces, Specify the retention period, Guarantee undo retention, Retention period for flashback queries, View undo space information, Use the undo advisor, Size the undo tablespace, Alter an undo tablespace to a fixed size. Proactive database management Database Maintenance, View the alert log, The Automatic Workload Repository, Statistic levels, The Automatic Database Diagnostic Monitoring, Monitor an Oracle database, Use the Advisors, Set up notification rules/ Performance management Tuning information sources, Performance monitoring, Tuning activities, Performance planning, Instance tuning, Performance tuning methodology, Performance tuning data, Monitoring performance, Managing memory. SQL tuning SQL tuning, The Oracle Optimizer, SQL Plan directives, Adaptive execution plans, SQL Advisors, Automatic SQL Tuning results, Implement automatic tuning recommendations , SQL Tuning Advisor. Moving data Create directory objects , Data Pump architecture, Data Pump data dictionary views, Data Pump interactive mode, Data Pump API, Use Data Pump to export and import data, Overview of SQL Loader, Command line parameters, Record filtering, Control file keywords, Datafiles, SQL Loader data paths, External Tables. Automate tasks with the scheduler Introduction to the Scheduler, Access Rights, Scheduler components and workflow, Create a Job, Job Classes, Use time based, event based schedules, Create an event based schedule. Managing resources with Resource Manager Overview of the Database Resource Manage, Use the Resource Manager, Create Resource Plans, The default maintenance resource manager plan, Create Resource Plan Directives, Allocate resources for Resource Plans. Manage space Overview of space management, Block space management within segments, Segment types, Allocate extents, Allocate space, Row chaining and migration, Create tables without segments. Backup and recovery configuration Oracle backup solutions, Oracle suggested backup strategy, Overview of database backup, restore and recover, Flashback technology, Types of failure ,Instance recovery, Tune instance recovery, The MTTR Advisor, Media failure, Configure a database for recoverability Oracle support The Enterprise Manager Support Workbench, Register for security updates, Work with Oracle Support, My Oracle Support integration, Log Service Requests, Manage patches, Apply a patch

Duration 2 Days 12 CPD hours This course is intended for This is an intermediate and beyond level SQL course geared for experienced end users, data scientists, business analysts, application developers and database administrators. Students should have recently attended a basic SQL class or have equivalent experience. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert practitioner, attendees will learn advanced skills needed to: Advanced Query Techniques Manipulating Table Data Using SQL's Data Manipulation Language (DML) User-Defined Functions Stored Procedures Triggers A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. Next Level SQL explores how to identify and use advanced querying techniques to manipulate and index tables. All hands-on work in this course is ANSI SQL compliant and should work with most SQL databases such as Oracle, SQL Server, MySQL, MS Access, Informix, Sybase, or any other ANSI SQL compliant database. Advanced Query Techniques Join inner outer (Left, Right, Full) Subqueries Simple Correlated Using the Exists Operator Tips for Developing Complex Queries Performing Set Operations Aggregating Results Using Group by Creating Temporary Tables Manipulating Table Data Using SQL's Data Manipulation Language (DML) Inserting Data into Tables Updating Existing Data Deleting Records Truncating Tables Implementing Data Integrity with Transactions Beginning Explicit Transactions Committing Transactions Rolling Back Transactions User-Defined Functions Definition and Benefits of Use CREATE FUNCTION Syntax RETURN Clause and the RETURNS Statement Scalar vs. Table Functions Comparison with Stored Procedures Returning Scalar Values and Tables ALTER and DROP FUNCTION Stored Procedures Definition and Benefits of Use CREATE PROCEDURE Syntax Variables and Parameters Control of Program Flow ALTER and DROP PROCEDURE Implementation Differences Triggers Definition and Benefits of Use Alternatives (e.g., Constraints) CREATE TRIGGER Syntax Trigger Types 'Inserted' (or 'NEW') and 'Deleted' (or 'OLD') Tables Event Handling and Trigger Execution ALTER and DROP TRIGGER Additional course details: Nexus Humans Advanced SQL Programming (TTSQL005) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Advanced SQL Programming (TTSQL005) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for The audience for this course is data professionals and data architects who want to learn about migrating data platform technologies that exist on Microsoft Azure and how existing SQL based workloads can be migrated and modernized. The secondary audience for this course is individuals who manage data platforms or develop applications that deliver content from the existing data platform technologies. Overview Understand Data Platform Modernization Choose the right tools for Data Migration Migrate SQL Workloads to Azure Virtual Machines Migrate SQL Workloads to Azure SQL Databases Migrate SQL Workloads to Azure SQL Database Managed Instance In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements. They will also explore each stage of the data platform modernization process and define what tasks are involved at each stage, such as the assessment and planning phase. Students will also learn the available migration tools and how they are suitable for each stage of the data migration process. The student will learn how to migrate to the three target platforms for SQL based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database Managed Instances. The student will learn the benefits and limitations of each target platform and how they can be used to fulfil both business and technical requirements for modern SQL workloads. The student will explore the changes that may need to be made to existing SQL based applications, so that they can make best use of modern data platforms in Azure. Introducing Data Platform Modernization Understand Data Platform Modernization Understanding the stages of migration Data Migration Paths Choose the right tools for Data Migration Discover the Database Migration Guide Build your data estate inventory using Map Toolkit Identify Migration candidates using Data Migration Assistant Evaluate a Data workload using Database Experimentation Assistant Data Migration using Azure Database Migration Service Migrate non-SQL Server workloads to Azure using SQL Migration Assistant Migrating SQL Workloads to Azure Virtual Machines Considerations of SQL Server to Azure VM Migrations SQL Workloads to Azure VM Migration Options Implementing High Availability and Disaster Recovery Scenarios Migrate SQL Workloads to Azure SQL Databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL DB offline Migrate SQL Server to Azure SQL DB online Load and Move data to Azure SQL Database Migrate SQL Workloads to Azure SQL Database Managed Instance Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed instance Load and Move data to SQL Database Managed instance Application Configuration and Optimization

MySQL for developers training course description This MySQL Developers training course is designed for MySQL Developers who have a good understanding of a MySQL database and experience of using SQL commands. The course provides further practical experience in more advanced MySQL commands and SQL statements including Stored Routines, Triggers and Event Scheduling. What will you learn Provide the skills needed to write more advanced queries and database maintenance statements on a MySQL database. Use advanced features of the MySQL Client. Use advanced data types. Manage the structure of databases and tables. Manage and using indexes. Write complex SQL query statements. Use advanced SQL expressions. Use advanced SQL functions. Perform advanced Insert, Update, Delete, Replace and Truncate Operations. Use user variable syntax and properties. Import and export data from within MySQL. Import and export data from the command line. Perform complex joins to access multiple tables. Perform complex subqueries. Create, manage and us views. Use prepared statements. Create and use stored routines. Create and use triggers. Obtain database metadata. Optimize queries. Work with the main storage engines. Debug MySQL applications. MySQL for developers training course details Who will benefit: MySQL Developers who have a basic understanding of a MySQL database and SQL commands as covered on the Introduction to MySQL course. Prerequisites: MySQL foundation Duration 5 days MySQL for developers training course contents Introduction Administration and Course Materials, Course Structure and Agenda, Delegate and Trainer Introductions. Client/server concepts MySQL client/server architecture, Server modes, Using client programs, Logging in options, Configuration files, Precedence of logging in options Hands on Using client/server The MySQL client program Using MySQL interactively, The MySQL prompts, Client commands and SQL statements, Editing, Selecting a database, Help, Safe updates, Using script files, Using a source file, Redirecting output into a file, Command line execution, Mysql output formats, Overriding the defaults, Html and xml output, MySQL Utilities. Hands on Using the MySQL client program Data types Bit data type, Numeric data types, Auto_increment, Character string data types, Character sets and collation, Binary string data types, Enum and Set data types, Temporal data types, Timezone support, Handling Missing Or Invalid Data Values, SQL_MODE options. Hands on Using data types Identifiers Using Quotes with identifier naming, Case sensitivity in Identifier naming, Qualifying columns with table and database names, Using reserved words as identifiers, Function names Hands on Using identifiers Databases Database properties, Creating a database, Selecting a database, Altering databases, Dropping databases, Obtaining database metadata, The SHOW command, The INFORMATION_SCHEMA database, The SHOW CREATE command Hands on Using databases Tables and indexes Table properties, Creating tables, Create table using Select or Like, Temporary tables and memory tables, Altering tables, Adding columns, Changing column widths and types, Renaming columns, Dropping columns, Adding constraints, Dropping constraints, Renaming tables, Change the table storage engine, Multiple alterations, Dropping tables, Emptying tables, Obtaining table metadata, Show create table, The information_schema, Index introduction, Structure of a mysql index, Creating and dropping indexes, Creating an index, Altering a table to add an index, Specifying index type, Dropping indexes, Obtaining Index Metadata. Hands on Creating, altering and dropping tables/indexes Querying for data The SQL select statement and MySQL differences, Advanced order by, Order by and collation, Order by with enum datatype, Order by with Set datatype, Ordering with distinct and group by Special features of union, Limit and order by clauses, Group By clause, Group_concat, Using Rollup in a Group By clause. Hands on Querying for data SQL Expressions and functions Components of expressions, Nulls, Numeric expressions, String expressions, Temporal expressions, Comparison functions, Flow control functions, Numeric functions, String functions, Temporal functions. Hands on Using expressions and functions Updating data Update operations and privileges, Inserting rows, Insert using a set clause, Inserting duplicate values, Replacing rows, Updating rows, Update using the order by and limit clauses, Deleting rows, The delete and truncate statements. Exercise: Inserting, updating, replacing and deleting data Connectors MySQL client interfaces, MySQL connectors, Oracle and community conectors, Connecting to MySQL server using Java and PHP connectors, MySQL and NoSQL, Innodb integration with memcached. Obtaining database metadata What is metadata?, The mysqlshow utility, The show and describe commands, Describing tables, The information_schema, Listing tables, Listing columns, Listing views, Listing key_columns_usage. Hands on Obtaining database metadata Debugging Mysql error messages, The show statement, Show errors, Show count(*) errors, Show warnings, Show count(*) warnings, Note messages, The perror utility. Hands on Debugging Joins Overview of inner joins, Cartesian product, Inner joins with original syntax, Non equi-join, Using table aliases to avoid name clashes, Inner Joins With ISO/ANSI Syntax, Outer Joins, Left outer joins, Right outer joins, Full outer joins, Updating multiple tables simultaneously, Updating rows in one table based on a condition in another, Updating rows in one table reading data from another, Deleting from multiple tables simultaneously, Deleting rows in one table based on a condition in another. Hands on Coding joins Subqueries Types of subquery, Multiple-column subqueries, Correlated subqueries, Using the ANY, ALL and SOME operators, Using the EXISTS operator, Subqueries as scalar expressions, Inline views, Converting subqueries to joins, Using subqueries in updates and deletes. Hands on Coding subqueries Views Why views are used, Creating views, View creation restrictions, View algorithms, Updateable views, Altering and dropping views, Displaying information about views, Privileges for views. Hands on Using views Import and Export Exporting using SQL, Privileges required to export data, Importing using SQL, Messages when loading data, Privileges required to load data, Exporting from the command line, Mysqldump main options, Importing from the command line, Mysqlimport main options. Hands on Importing and exporting User variables and prepared statements Creating User variables, User variables in a select, Prepared statements, The prepare statement, The execute statement, The deallocate statement, Using prepared statements in code, with connectors. Hands on Using variables and prepared statements Introduction to stored routines Types of stored routines, Benefits of stored routines, Stored routine features, Differences between procedures and functions, Introduction to the Block, Declaring variables and constants, Assigning values to variables, Definer rights and invoker rights, Using SELECT in stored routines, Altering and dropping stored routines, Obtaining stored routine metadata, Stored routine privileges and execution security. Hands on Writing simple stored routines Stored routines - program logic The IF .. THEN .. ELSEIF construct, The CASE statement, The basic loop, The while loop, The repeat loop, The iterate statement, Nested loops. Hands on Writing stored routines with program logic Stored routines - exception handlers and cursors Dealing with errors using Exception handlers, Cursors, What is a cursor?, Cursor operations, Declaring cursors, Opening and closing cursors, Fetching rows, Status checking. Hands on Writing stored routines with program logic Procedures with parameters Creating procedures with parameters, Calling Procedures With Parameters. Hands on Writing stored routines with parameters Functions What is a function?, The create function statement, Executing functions, Executing functions from code, Executing functions from SQL statements, The deterministic and SQL clauses. Hands on Writing functions Triggers Trigger creation, Restrictions on triggers, The create trigger statement, Using the old and new qualifiers, Managing triggers, Destroying triggers, Required privileges. Hands on Writing triggers Basic optimizations Normalisation of data to third normal form, Using indexes for optimization, General query enhancement, Using Explain to analyze queries, Choosing an INNODB or MYISAM storage engine, Using MySQL Enterprise Monitor in query optimization. Hands on Making use of basic optimizations More about indexes Indexes and joins Hands on Investigating indexes and joins

ADO.NET training course description This ADO.net training course is designed to enable developers to use the toolset provided with.NET for data access including ADO.net objects, data controls, designers and interoperability with earlier ADO objects. The course is applicable for those using C# or VB.NET with ADO.NET What will you learn Retrieve and manipulate data using Microsoft's ADO.NET library. Work with the ADO.NET object model. Update data, including handling stored procedures, parameters, and return value. Search, sort and filter data. Leverage the power of XML. ADO.NET training course details Who will benefit: Programmers working with ADO.Net. Prerequisites: Effective programming with VB.NET or Concise introduction to C# Duration 2 days ADO.NET training course contents Introducing ADO.Net Traditional Data Access Architecture. ADO.Net Disconnected Data Access Architecture. Different components of ADO.Net. A review of basic SQL queries SQL SELECT Statement. SQL INSERT Statement. SQL UPDATE Statement. SQL DELETE Statement. Common data access tasks with ADO.Net Accessing Data using ADO.Net. Defining the connection string. Defining a Connection. Defining the command or command string. Defining the Data Adapter. Creating and filling the DataSet. A Demonstration Application The Interface. Loading the table. Filling the controls on the Form. Navigating through the records. Updating Data Steps for updating the table. Building the Application. Loading the table and displaying data in the form's controls. Initialising Commands. Adding Parameters to the commands. The ToggleControls() method of our application. Editing (or Updating) Records. Event Handler for the Save Button. Event Handler for the Cancel Button. Inserting Records. Deleting a Record. Using Stored Procedures Sample Stored Procedures. UPDATE Stored Procedure. INSERT Stored Procedure. DELETE Stored Procedure. SELECT Stored Procedure. Using Stored Procedures with ADO.Net.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the DP-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for This intermediate-level course requires students have incoming experience working with Oracle Database 18 or higher. Overview Working in a hands-on learning environment led by our expert facilitator, you'll explore: The Oracle Database Architecture Query Optimizer Tuning Container Databases and Pluggable Databases Oracle 19c Tuning features Evaluating Execution Plans Oracle Tuning Tools Using Automatic Workload Repository Join Types AWR Using Baselines Additional AWR performance tools Optimizer Statistics Monitoring a Service Bind Variables and database parameters Oracle's Real Application Testing (RAT) SQL Tuning Advisor Automatic Sql Tuning Sql Plan Management Shared Pool Tuning Tuning the database buffer cache Tuning the PGA (Program Global Area) Automatic Memory Management (AMM) Tuning Segment Space Utilization (ASSM) Automatic Storage Management Oracle 19C Database Tuning is an intermediate level course for Oracle database experienced attendees that explores core tuning skills such as Database parameters, SQL Tuning Advisor, SQL Access Advisor, Adaptive SQL plans and more. Overview Oracle Database Architecture Instance Definition Define SGA Define Background Processes Datafile Definition Query Optimizer SQL Parsing Optimizing Terms Optimizing Methods Query Plan Generation Query Plan Control Tuning Container Databases and Pluggable Databases Pluggable tuning parameters Define Container tuning structure Using PDB$SEED Create a new PDB Plug and unplug a PDB Oracle 12c Tuning features Identifying and Using Oracle's Heat Map 12c Compression Levels and Types Evaluating Execution Plans Defining SQL execution plans Automatic Workload Repository Reading execution plans Oracle Tuning Tools Monitoring tools overview Enterprise Manager Dynamic Performance Views Automatic Workload Repository Automatic Database Diagnostic Monitor Sql Tuning Advisor SQL Access Advisor Sql Access Advisor DB operation Tuning DB operation Active Reporting Using Automatic Workload Repository Defining AWR AWR Settings Creating AWR Baselines Metrics, Alerts, and Thresholds Defining Metrics Setting Alerts Setting Corrective Actions User Defined Metrics Metric Dynamic Views Join Types Nested Loops Join Sort Merge join Hash Join and Cartesian Join Equijoins and Nonequijoins Outer Joins Semijoins AWR Using Baselines Creating AWR baselines Creating AWR Repeating baselines Moving Window Baseline Additional AWR performance tools Automatic Maintenance Tasks Segment Advisor Statistics Gathering Automatic Tuning Optimizer Automatic Database Diagnostic Monitor Active Session History (ASH) Optimizer Statistics Optimizer Statistics Overview Table and Index Statistics Statistic Preferences Statistics Gathering e) Locking Statistics, Export/Import Statistics Pending and published statistics Optimizer Hints Optimizer Paths Cost Base Optimization Monitoring a Service Overview of what is an Oracle Service Creating an Oracle Service for Single instance and RAC Monitoring a Service Resource Management and a Service Enterprise Manager and a Service Bind Variables and database parameters Bind variable definition Cursor_sharing parameter Adaptive Cursor Sharing Oracle's Real Application Testing (RAT) Sql Performance Analyzer overview Sql Performance Analyzer Options Database Parameter changes Database version changes Creating SQL Tuning Sets Database Replay Overview Database Replay Configuration Database Replay Options SQL Tuning Advisor SQL Tuning Advisor: Overview SQL Tuning Advisor Limited Mode Sql Tuning Advisor Comprehensive mode Sql Tuning Profiles SQL Access Advisor SQL Access Advisor: Overview Sql Access Advisor options SQL Access Advisor and Sql Tuning Sets Sql Access Advisor and AWR Results and Implementation Automatic Sql Tuning Automatic Sql Tuning Maintenance Task Automatic Tuning Optimization implementation(ATO) Automatic Tuning Optimization Results Enable/Disable Automatic Tuning Optimization Sql Plan Management Sql plan Management and baseline overview Enable sql plan management Loading Sql Plan baselines into the SGA Adaptive plan management Shared Pool Tuning Shared pool architecture Shared pool parameters Library Cache Dictionary cache Large pool considerations and contents Tuning the database buffer cache Database buffer cache overview Database buffer cache parameters Oracle and Dirty reads and writes Automatic Shared Memory Management (ASMM) Buffer Cache goals and responsibility Buffer Cache pools Tuning the PGA (Program Global Area) PGA Overview PGA Database Parameters Temporary Segments Temporary Tablespace Sizing the PGA Automatic Memory Management (AMM) Oracle's Automatic Memory Management Overview Database Auto-tuned Parameters Database Non Auto-tuned Parameters Automatic Memory Management Hints and Sizing suggestions AMM versus ASMM Tuning Segment Space Utilization (ASSM) Overview of Automatic Segment Space Management Defining the DB_BLOCK_SIZE Defining DB_nk_CACHE_SIZE parameter The DB_BLOCK_SIZE Parameter Overview of table compression, block chaining, and block migration Automatic Storage Management Overview of ASM Definition of Grid Infrastructure ASM Instance ASM Diskgroups ASM Diskgroup parameters and templates ASMCMD

Duration 3 Days 18 CPD hours This course is intended for This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools. Overview After completing this course, students will be able to: - Identify independent and dependent variables and measurement levels in their own analytical work scenarios. - Identify variables of interest in relational database tables. - Choose a data aggregation level and data set design appropriate for the intended analysis and tool. - Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others. - Create stored procedures, views, and functions to modularize data retrieval code. This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence. 1 - INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE Two Approaches to SQL Programming TSQL Data Retrieval in an Analytics / Business Intelligence Environment The Database Engine SQL Server Management Studio and the CarDeal Sample Database Identifying Variables in Tables SQL is a Declarative Language Introduction to the SELECT Query Lab 1: Introduction to TSQL for Business Intelligence 2 - TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY Turning Columns into Variables for Analysis Column Expressions, Data Types, and Built-in Functions Column aliases Data type conversions Built-in Scalar Functions Table Aliases The WHERE clause ORDER BY Lab 1: Write queries 3 - COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS Primary Keys, Foreign Keys, and Joins Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product Understanding Joins, Part 2: The INNER JOIN Understanding Joins, Part 3: The OUTER JOINS Understanding Joins, Part 4: Joining more than two tables Understanding Joins, Part 5: Combining INNER and OUTER JOINs Combining JOIN Operations with WHERE and ORDER BY Lab 1: Write SELECT queries 4 - CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY Identifying required aggregation level and granularity Aggregate Functions GROUP BY HAVING Order of operations in SELECT queries Lab 1: Write queries 5 - SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS Non-correlated and correlated subqueries Derived tables Common table expressions Lab 1: Write queries 6 - ENCAPSULATING DATA RETRIEVAL LOGIC Views Table-valued functions Stored procedures Creating objects for read-access users Creating database accounts for analytical client tools Lab 1: Encapsulating Data Retrieval Logic 7 - GETTING YOUR DATASET TO THE CLIENT Connecting to SQL Server and Submitting Queries from Client Tools Connecting and running SELECT queries from: Excel PowerBI RStudio Exporting datasets to files using Results pane from SSMS The bcp utility The Import/Export Wizard Lab 1: Getting Your Dataset to the Client Additional course details: Nexus Humans 55232 Writing Analytical Queries for Business Intelligence training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55232 Writing Analytical Queries for Business Intelligence course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.