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.
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.
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.
Windows clustering training course description This course covers high availability and disaster recovery technologies such as live migration, storage migration and Hyper-V Replica, as well as providing indepth coverage of failover clustering including a detailed implementation of failover clustering of Hyper- V using SoFS. The course also covers System Center Virtual Machine Manager and implementing Network Load Balancing (NLB) and load balancing clusters. What will you learn Plan and implement a failover cluster. Describe managing server roles and clustering resources. Implement and manage virtual machines. Use System Center Virtual Machine Manager. Describe cloud-based storage and high availability solutions. Implement a Network Load Balancing (NLB) cluster. Windows clustering training course details Who will benefit: Technical staff working with Microsoft clusters. Prerequisites: Supporting Microsoft Windows server Duration 3 days Windows clustering training course contents High Availability in Windows Server Defining levels of availability, High Availability and disaster recovery solutions with Hyper-V Virtual Machines, High Availability with failover clustering in Windows Server. Hands on Configuring High Availability and Disaster Recovery. Implementing failover clustering Planning a failover cluster, creating a new failover cluster. Hands on Creating and Administering a Cluster. Server roles and clustering resources Configuring highly available applications and services on a failover cluster, managing and maintaining a failover cluster, troubleshooting a failover cluster, implementing site high availability with multisite failover clusters. Hands on Managing server roles and clustering resources. Failover clustering with Hyper-V Overview of integrating Hyper-V with failover clustering, implementing Hyper-V with failover clustering, managing and maintaining Hyper-V Virtual Machines on failover clusters. Hands on Implementing failover clustering by using Hyper-V Storage Infrastructure Management with Virtual Machine Manager Virtual Machine Manager, managing storage infrastructure with Virtual Machine Manager, provisioning failover clustering in Virtual Machine Manager. Hands on Managing storage infrastructure. Cloud-Based storage and High Availability Azure storage solutions and infrastructure, cloud integrated storage with StorSimple, disaster recovery with Azure Site Recovery. Hands on Managing cloud-based storage and high availability Network Load Balancing Clusters Overview of NLB, configuring an NLB cluster, planning NLB. Hands on Implementing a Network Load Balancing Cluster
About this Virtual Instructor Led Training (VILT) The objective of this 4-half-day Virtual Instructor Led Training (VILT) course is to equip participants with the required knowledge so that they can define and implement an effective oil analysis programme, monitor the condition of transformers and understand oil analysis reports as part of their maintenance strategy. This VILT course is delivered in partnership with ENGIE Laborelec. Training Objectives Participants will be able to go through the following areas during the VILT course: Condition monitoring of power transformers through oil analyses: Transformer Health Index, Transformer Fleet Condition Assessment, Risk Matrix Best practices Which oil analyses/how frequent DGA: focus on partial discharges, sparking, stray gassing, catalytic effects / interpretation systems. Interpretation of results Why and when to perform electrical measurements? International standards: IEEE, IEC, Duval, ASTM, etc Maintenance guidelines Trending and reporting Sampling techniques Use of online monitoring for DGA/water: implementation and real-case advantages etc: New developments: importance of methanol as ageing marker, temperature correction of ageing markers, stray gassing of oils in service etc REX, case studies and real-case exercises concerning power transformers within generation and high-voltage grids Discussion of reports on power transformers Use of unused insulating transformer oils Market trends in the use of inhibited and uninhibited oils Differences, advantages and drawbacks of uninhibited compared with inhibited oils Importance of additives, oxidation stability tests, stray gassing, etc Target Audience The VILT course is intended for a wide audience, including professionals who are maintenance staff, electrical engineers and asset managers responsible for transformers. Typical industries are powerplants, high voltage grids or large industrial sites. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a senior expert in the field of insulating and lubricating oils and of condition monitoring of power transformers and turbines. He has 20 years of experience within power industry and since 2010 Key Expert within the ENGIE group. He has worked on various international projects such as the Al Dur power plant in Bahrain, Shuweihat II power plant in UAE, PP11 and Jubail Marafiq power plants in Saudi Arabia and Sohar II and Barka III power plants in Oman. He has also been involved in consulting work in Malaysia for Hyrax Oil. Other assignments include Shell, Nynas, Total, ABB, Alstom, CG Pauwels in Europe. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
Gold CSCS Card NVQ Level 4 Diploma in Construction Site Supervision This qualification is for managers on-site who are working as a site supervisor or assistant site manager. You should be liaising with contractors, supervisors, and construction site management, organising resources, and have responsibility for health and safety and quality control such as inductions, briefings toolbox talks and inspections. You may work across one or more of the following Pathways: Building and Civil Engineering Highways Maintenance Residential Development Conservation Demolition Induction - As soon as you register you will be given a dedicated assessor. They will arrange an induction and together with your assessor you'll get to decide on the pathway which best proves your competency. The induction is used to plan out how you will gather the relevant evidence to complete the course. During the course - The assessor will work with you to build a portfolio of evidence that allows you to showcase your knowledge, skills and experience. The assessor will also regularly review and provide you with feedback. This will allow you to keep on track to progress quickly. You will be assessed through various methods such as observations, written questions, evidence generated from the workplace, professional discussion and witness testimonials. On completion - Once all feedback has been agreed, the Internal Quality Assurer will review your portfolio and in agreement with the assessor your certificate will be claimed. To download our PDF for this course then please click here.