23 Oracle courses in Loughton

This Practical SQL course, is designed make you fully conversant with queries, DML and DDL statements. Hands-on, Practical SQL course. You will get the PCWorkshops SQL Course Certificate. Max 4 people per course, to keep it personalised.

Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.

Business Intelligence Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

Supporting Microsoft SQL server course description A concise hands on course enabling delegates to manage and administer a Microsoft SQL server database. What will you learn Install SQL server. Backup SQL server databases. Recover SQL server databases. Secure SQL server databases. Perform routine maintenance. Automate tasks. Supporting Microsoft SQL server course details Who will benefit: Anyone working with Microsoft SQL server Prerequisites: Supporting Windows server. Duration 3 days Supporting Microsoft SQL server course contents SQL server introduction Platform, Tools, services. Installation. Creating databases. Backups Back up types, transaction logging, restoring from a backup: Full database, individual files. Security Users, server roles, database roles. Permissions. Monitoring Routine database maintenance. Performance data. Jobs and alerts The SQL server agent, database mail, alerts, jobs.

MySQL Performance & Tuning training course description This MySQL Performance & Tuning course is designed for Database Administrators, Application Developers and Technical Consultants who need to monitor and tune the performance of MySQL servers and databases. The course provides practical experience in monitoring and tuning MySQL servers and databases. Note: This MySQL Performance & Tuning course does not cover clustering (other than at overview level), replication or non-standard storage engines such as Falcon and PBXT. What will you learn Develop a monitoring and tuning plan Use server configuration and status variables. Identify and improve problem queries. Make efficient use of indexes. Monitor and size memory caches and locks. Tune the MyISAM and InnoDB storage engine. Evaluate the use of partitioning for performance. MySQL Performance & Tuning training course details Who will benefit: Anyone who wishes to monitor and tune MySQL performance. Prerequisites: Delegates must have a working knowledge of MySQL Database Administration Duration 3 days MySQL Performance & Tuning training course contents Introduction to performance tuning Tuning overview, Resolving performance issues, Recommended approach to tuning, Items to evaluate, Where to look, Planning a monitoring routine, Building a new database for performance, Tuning an existing database, Setting suitable goals. MySQL performance tuning tools Administration tools, the information schema, performance-related SHOW commands, benchmarking tools, the MySQL performance schema, MonYog. Hands on Obtaining performance information. Schema design Normalisation, de-normalisation, naming conventions, load generation, stress testing and benchmarking tools, selecting data types, data types, character sets, choosing storage engines. Hands on effects of design on performance. Statement tuning Overview of statement tuning, identifying problem queries, the optimizer, explain, explain extended. Hands on identifying problem queries and using explain. Indexes Index overview, Types of index, Index tuning, Indexes and joins. Hands on Indexes and performance. Server configuration and monitoring Server configuration variables, server status variables, table cache, multi-threading, connection issues, query cache. Hands on setting and interpreting server variables and caching. Locking Types of locking, locking and storage engines, effects of locking on performance. Hands on locking and performance. The InnoDB engine Transactions, crash recovery, locking, monitoring InnoDB, caches and buffers, configuring data files, configuring the log files. Hands on InnoDB configuration and performance. Other storage engines MyISAM engine, merge engine, archive engine, memory engine, blackhole engine, CSV engine, the Spider engine, the ColumnStore engine, the MyRocks engine, mixing sorage engines. Hands on storage engine performance. Overview of clustering and performance Advantages of performance, advantages of clustering, performance issues and clustering, the NDBCluster engine, the Galera cluster, the Percona XtraDB cluster, MySQL InnoDB cluster, the federated engine, the federatedX engine, overview of other high availability techniques. NOSQL and Mencached overview. Dumping and loading data SQL statements versus delimited data, parameters affecting dump performance, parameters affecting load performance. Hands on dump and load performance. Partitioned tables Partitioned tables concepts, range partitioning, hash partitioning, key partitioning, list partitioning, composite partitioning or subpartitioning, partition pruning. Hands on partitioned table performance.

Administering Microsoft SQL Server course description This course provides students with the knowledge and skills to maintain a Microsoft SQL Server database. The course focuses on how to use SQL Server 2016 product features and tools related to maintaining a database. Note: This course is designed for customers who are interested in learning SQL Server 2014 or SQL Server 2016. It covers the new features in SQL Server 2016, but also the important capabilities across the SQL Server data platform. What will you learn Describe core database administration tasks and tools. Configure SQL Server databases and storage. Import and export data. Monitor SQL Server. Trace SQL Server activity. Manage SQL Server security. Audit data access and encrypt data. Administering Microsoft SQL Server course details Who will benefit: Individuals who work with SQL Server databases. Individuals who develop applications that deliver content from SQL Server databases. Prerequisites: Introduction to data communications & networking. Duration 3 days Administering Microsoft SQL Server course contents Introduction to SQL Server administration Database administration, SQL Server platform, database management tools and techniques. Hands on SQL Server Management Studio, sqlcmd Windows PowerShell with SQL Server. Working with databases and storage Data storage with SQL Server, managing storage for system databases, managing storage for user databases, moving database files, configuring the buffer pool extension. Hands on Configuring tempdb storage, creating databases, attaching a database. Importing and exporting data Transferring data, importing and exporting table data, copying or moving a database. Hands on import and export wizard, bcp utility, BULK INSERT statement, OPENROWSET function. Monitoring SQL Server 2014 Monitoring SQL Server, dynamic management views and functions, performance monitor. Hands on Baseline metrics, monitoring a workload. Tracing SQL Server activity Tracing workload activity, using traces. Hands on Capturing a trace in SQL Server profiler, generating tuning recommendations. Managing SQL Server security SQL Server security, server-level security, database-level principals, database permissions. Hands on SQL Server security. Testing access.

Database fundamentals training course description This three-day training course helps you prepare for Microsoft Technology Associate Exam 98-364, and build an understanding of these topics: Core Database Concepts, Creating Database Objects, Manipulating Data, Data Storage, and Administering a Database. What will you learn Describe core database concepts. Create database objects. Manipulate data. Describe data storage. Administer a database. Create a relational database consisting of 3 related tables. Database fundamentals training course details Who will benefit: Those working with databases. Prerequisites: None. Duration 3 days Database fundamentals training course contents Understanding core database concepts Flat-type databases, hierarchical databases, relational databases, database fundamentals, relational database concepts, using the SQL Server Management Studio Interface. Data Manipulation Language (DML), Data Definition Language (DDL), using DDL statements. Creating database objects Defining data types, using built-in data types, using exact numeric data types, using approximate numeric data types. Creating and using tables. Creating views. Creating stored procedures, SQL injections. Manipulating data Using Queries to select data, combining conditions, using the BETWEEN clause, using the NOT clause, using the UNION clause, using the EXCEPT and INTERSECT clauses, using the JOIN clause. Using Queries to insert data, Inserting data. Updating data and databases, Using the UPDATE statement. Deleting data, Using the DELETE statement, truncating a table with TRUNCATE TABLE, deleting a table with DROP TABLE, using referential integrity. Understanding data storage Normalising a database, normalization, first normal form, second normal form, third normal form, fourth normal form, fifth normal form. Primary, foreign and composite keys, clustered and non-clustered indexes, creating a non-clustered table. Administering a Database Securing Databases, server-level security, database-level security, Windows security, SQL authentication, database server roles, granting access to a database, fixed database roles, object permissions, managing roles, ownership chains, reviewing a sample security model. Backing up and restoring databases, recovery models, backup devices.

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.

Database design training course description Although this course mentions Microsoft Access the same course can be run with a variety of different databases. The duration of the course is dependent on the experience of the delegates. What will you learn Name and give 3 types of database structure. Explain the difference between standard SQL and different flavours. Use SQL statements to query databases. Use SQL statements to query and define databases. Describe the principles of relational database design and 3 types of relational joins. Normalise a given flat file table into relational tables. Database design training course details Who will benefit: Anyone who needs to be able to design an efficient, watertight database following the best practice of the principles of Relational Database design. Prerequisites: None. Duration 3 days Database design training course contents Database structure and terminology. Principles of Relational Database Design. Types of relationship. Normal Forms. Practical examples of relational database design. Hands-on creation of a database. On paper design a relational database applicable to the delegates work.