1 Educators providing Cube courses in Cardiff

Oracle SQL Advanced training course description The Oracle SQL Advanced course is designed to give delegates practical experience in using some of the more advanced features of Oracle SQL. Additional datatypes and the use of advanced SQL functions and expressions are covered together with enhanced table handling features. What will you learn Retrieve data using correlated subqueries, in-line views and multi-column subqueries. Use the WITH Clause. Inserting and Updating Rows Using Complex Subqueries Create Hierarchical Queries. Use ROLLUP, CUBE and GROUPING SETS group by enhancements. Implement the GROUPING and GROUPING_ID functions. Manage large data sets. Insert data conditionally and unconditionally. Merge Rows in a Table. Create TIMESTAMP and INTERVAL Datatypes. Use TIMESTAMP, TIMEZONE and INTERVAL functions and literals. Use regular expressions and implement related functions. Manage objects with the data dictionary. Manage schema objects. Perform flashback operations. Create and using external tables. Control user access to database objects. Oracle SQL Advanced training course details Who will benefit: Anyone who needs to use the more advanced features of SQL to improve their productivity in querying and updating an Oracle database. Prerequisites: Delegates should have attended the Oracle SQL course or have a similar level of experience. Duration 2 days Oracle SQL Advanced training course contents Retrieve data using subqueries ANY, ALL or SOME operators, Correlated subqueries, In-Line views, The Exists operator, The WITH clause, Multi-Column subqueries, Insert and update using a query, Correlated update and delete. Hierarchical queries Hierarchical data, The START WITH and CONNECT BY clauses, The LEVEL pseudo-column, Sequencing the output, Eliminating nodes and branches. Enhanced grouping features Review of basic grouping concepts, The ROLLUP and CUBE extensions, The GROUPING SETS extension, Using the GROUPING and GROUPING_ID functions. Manage large data sets Multi-table Inserts, Conditional and unconditional Inserts, Merging data into a table, Table and view based merge, A sub query based merge. Flashback technology Flashback query, The AS clause, Flashback table, Flashback drop. Date, time and time zone support Date, Timestamp and Interval datatypes, Handling dates and times, Handling intervals, Date, timestamp and interval functions and literals, Related NLS parameters. Regular expression support Regular expression notation, Character matching, Repetition operators, Sub expression grouping, Regular expression functions. Manage objects with the Data Dictionary The Data Dictionary, Useful Data Dictionary tables, Using the Data Dictionary. Manage schema objects Column operations, Constraint operations, Creating and dropping Indexes, B-Tree indexes, Function based indexes, Descending indexes, Creating and using external tables. Access control System privileges and roles, Create users, Alter user details, Grant and revoke object privileges.

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.

This Tableau Desktop Training course is a jumpstart to getting report writers and analysts with little or no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in two days of your time. For Private options, online or in-person, please send us details of your requirements: This Tableau Desktop Training course is a jumpstart to getting report writers and analysts with little or no previous knowledge to being productive. It covers everything from connecting to data, through to creating interactive dashboards with a range of visualisations in two days of your time. Having a quick turnaround from starting to use Tableau, to getting real, actionable insights means that you get a swift return on your investment of time and money. This accelerated approach is key to getting engagement from within your organisation so everyone can immediately see and feel the impact of the data and insights you create. This course is aimed at someone who has not used Tableau in earnest and may be in a functional role, eg. in sales, marketing, finance, operations, business intelligence etc. The course is split into 3 phases and 9 modules: PHASE 1: GET READY MODULE 1: LAUNCH TABLEAU Check Install & Setup Why is Visual Analytics Important MODULE 2: GET FAMILIAR What is possible How does Tableau deal with data Know your way around How do we format charts Dashboard Basics – My First Dashboard MODULE 3: DATA DISCOVERY Connecting to and setting up data in Tableau How Do I Explore my Data – Filters & Sorting How Do I Structure my Data – Groups & Hierarchies, Visual Groups How Tableau Deals with Dates – Using Discrete and Continuous Dates, Custom Dates Phase 2: GET SET MODULE 4: MAKE CALCULATIONS How Do I Create Calculated Fields & Why MODULE 5: MAKE CHARTS Charts that Compare Multiple Measures – Measure Names and Measure Values, Shared Axis Charts, Dual Axis Charts, Scatter Plots Showing Relational & Proportional Data – Pie Charts, Donut Charts, Tree Maps MODULE 6: MAKE TABLES Creating Tables – Creating Tables, Highlight Tables, Heat Maps Phase 3: GO MODULE 7: ADD CONTEXT Reference Lines and Bands MODULE 8: MAKE MAPS Answering Spatial Questions – Mapping, Creating a Choropleth (Filled) Map MODULE 9: MAKE DASHBOARDS Using the Dashboard Interface Dashboard Actions This training course includes over 25 hands-on exercises and quizzes to help participants “learn by doing” and to assist group discussions around real-life use cases. Each attendee receives a login to our extensive training portal which covers the theory, practical applications and use cases, exercises, solutions and quizzes in both written and video format. Students must use their own laptop with an active version of Tableau Desktop 2018.2 (or later) pre-installed. What People Are Saying About This Course “Excellent Trainer – knows his stuff, has done it all in the real world, not just the class room.”Richard L., Intelliflo “Tableau is a complicated and powerful tool. After taking this course, I am confident in what I can do, and how it can help improve my work.”Trevor B., Morrison Utility Services “I would highly recommend this course for Tableau beginners, really easy to follow and keep up with as you are hands on during the course. Trainer really helpful too.”Chelsey H., QVC “He is a natural trainer, patient and very good at explaining in simple terms. He has an excellent knowledge base of the system and an obvious enthusiasm for Tableau, data analysis and the best way to convey results. We had been having difficulties in the business in building financial reports from a data cube and he had solutions for these which have proved to be very useful.”Matthew H., ISS Group

This course provides exceptional training on the principles and processes required to successfully operate a warehouse. PARTICIPANTS WILL LEARN HOW TO: • Learn about the characteristics of a warehouse and its function • Understand the basic principles of effective layout design and product storage prioritization • Gain an understanding of modern practices in warehouse operations, such as Kanban and 5S • Understand the importance of packaging and data inputs to improve the performance of pick and pack operations • Understand the role of KPIs in warehouse and supply chain management COURSE TOPICS INCLUDE: Material storage as part of supply chain management Evaluation of outsourcing issues Challenges of codification and traceability Performance management Automated and mechanized systems Different storage methodologies Use of Warehouse management systems Optimum cube utilization and labour productivity Picking and packing management systems Goods receipt and dispatch