Overview This comprehensive course on Microsoft SQL Server Development for Everyone will deepen your understanding on this topic .After successful completion of this course you can acquire the required skills in this sector. This Microsoft SQL Server Development for Everyone comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Microsoft SQL Server Development for Everyone . It is available to all students, of all academic backgrounds. Requirements Our Microsoft SQL Server Development for Everyone is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 6 sections • 31 lectures • 05:48:00 total length •Introduction to SQL Server and Databases: 00:04:00 •Download and Install SQL Server Express: 00:05:00 •Connect to Database Instance and Create a Database: 00:06:00 •Drop or Remove Database: 00:04:00 •What is a Database Table?: 00:02:00 •Create an SQL Database Table: 00:32:00 •Insert Data into the Table with SQL Script: 00:15:00 •Insert Data into the Table with Management Studio: 00:05:00 •Select Data from the Table with SQL Script: 00:09:00 •More Advanced Select Queries Part 1: 00:18:00 •Update Data in the Table: 00:10:00 •Update Data in the Table with Management Studio GUI: 00:02:00 •Delete Data from the Table with SQL Script: 00:06:00 •Delete Data from the Table with Management Studio GUI: 00:01:00 •What are Relationships, Foreign Keys and Normalization: 00:11:00 •Create a Relationship in SQL Server: 00:19:00 •Insert Records in Related Tables: 00:13:00 •Run Queries on Related Tables: 00:19:00 •Left, Right and Full Joins: 00:11:00 •Grouping Data using SQL GROUP BY Clause: 00:12:00 •SQL AVG Aggregate Function: 00:11:00 •SQL COUNT Aggregate Function: 00:04:00 •SQL MAX and MIN Aggregate Functions: 00:04:00 •SQL SUM Aggregate Function: 00:04:00 •Create and Manage Views: 00:23:00 •Scalar Valued Functions: 00:27:00 •Inline Table Valued Functions: 00:09:00 •Stored Procedures: 00:28:00 •Table Triggers: 00:19:00 •Database Scripting, Backup and Restore: 00:15:00 •Assignment - Microsoft SQL Server Development for Everyone: 00:00:00
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Tech enthusiasts desiring to leverage industry connections for job opportunities in IT Helpdesk Support. Requirements No experience required. Just enrol & start learning. Career path IT Support Technician Network Support Engineer Network Administrator Network Engineer Senior Network Engineer IT Support Engineer IT Support Specialist IT Support Apprentice IT Support Trainee Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included
>>24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now!<< Unlock a world of opportunities as a business intelligence analyst! In the UK, the demand for business intelligence professionals has soared by 25% in the past year alone, with average salaries exceeding £50,000 per annum. Join our course to master the art of business intelligence and seize your career's brightest future. Don't miss out! Enrol today and take your first step towards a lucrative career! This Diploma in Business Intelligence Analyst at QLS Level 5 course is Endorsed by The Quality Licence Scheme (with 150 CPD points) Accredited by CPDQS This Business Intelligence Analyst at QLS Level 5 training can help you accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Learning outcomes of this Diploma in Business Intelligence Analyst at QLS Level 5 Course: Upon successful completion of the Business Intelligence Analyst course, you'll be able to: Gain deep understanding of BI principles. Develop real-time BI proficiency. Master stats, vital for BI insights. Acquire SQL skills for effective BI. Grasp database essentials in BI. Delve into data warehousing within BI. Utilize data visualization, harness Python in BI tasks. Why Prefer This Business Intelligence Analyst at the QLS Level 5 Course? Opportunity to earn a certificate endorsed by the Quality Licence Scheme and another accredited by CPDQS, which is completely free. Get a free student ID card! (£10 postal charge will be applicable for international delivery.) Innovative and engaging content. Free assessments 24/7 tutor support. Take a step toward a brighter future! *** Course Curriculum *** Here is the curriculum breakdown of the Business Intelligence Analyst at QLS Level 5 course: Module-1: An Introduction to Business Intelligence Module-2: Real-time Business Intelligence Module-3: Fundamentals of Statistics and Data Science Module-4: Fundamentals of SQL Module-5: Database Management Essentials Module-6: Data Warehouse Concepts Module-7: Data Visualisation in Business Intelligence Module-8: Basics of Python Assessment Process You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate for FREE endorsed by the Quality Licence Scheme after you have completed all of the Diploma in Business Intelligence Analyst at QLS Level 5 exams. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Diploma in Business Intelligence Analyst at QLS Level 5 course is perfect for Aspiring Business Intelligence professionals Data enthusiasts seeking BI expertise Professionals aiming for BI career advancement Those interested in data analysis Individuals pursuing data science roles Anyone keen on mastering BI essentials Requirements No prior background or expertise is required. Career path Business Intelligence Analyst: £40,000 to £70,000 Data Analyst: £30,000 to £55,000 Data Scientist: £50,000 to £85,000 Database Administrator: £35,000 to £65,000 Data Engineer: £45,000 to £80,000 Certificates CPDQS Accredited Certificate Digital certificate - Included Diploma in Business Intelligence Analyst at QLS Level 5 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Business Intelligence Analyst at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme and also you can order CPDQSAccredited Certificate that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.
Recent developments in data analytics and statistics underscore the critical importance of understanding both data structure and analytics methodologies in today's data-driven world. With the exponential growth of data, businesses are increasingly relying on skilled professionals who can harness the power of data to drive informed decision-making. Our comprehensive Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma bundle, endorsed by the Quality Licence Scheme (QLS) and accredited by the CPD Quality Standards (QS), offers a holistic approach to mastering data structure, data analytics, and statistical techniques. In an era where data reigns supreme, organisations seek individuals who can navigate complex datasets with confidence and precision. This Data Structure, Data Analytics bundle equips learners with the essential skills and knowledge needed to excel in the field of data science and analytics. By delving into topics such as data manipulation, statistical analysis, and database management, participants gain a deep understanding of how to extract valuable insights from raw data. Moreover, our guided courses in career development and communication empower learners to effectively communicate their findings and advance their professional journey. Bundle Include includes: QLS Endorsed Courses: Course 01: Certificate in Data Analytics with Tableau at QLS Level 3 Course 02: Diploma in Data Structure at QLS Level 5 Course 03: Advanced Diploma in Statistics & Probability for Data Science & Machine Learning at QLS Level 7 CPD QS Accredited Courses: Course 04: Business and Data Analytics for Beginners Course 05: Learn Financial Analytics and Statistical Tools Course 06: SQL For Data Analytics & Database Development Course 07: Big Data Analytics with PySpark Power BI and MongoDB Course 08: Google Data Studio: Data Analytics Course 09: Business Intelligence Analyst Course 10: Spatial Data Visualization and Machine Learning in Python Course 11: Data Analysis In Excel Take your career to the next level with our Data Structure, Data Analytics bundle that includes technical courses and five guided courses focused on personal development and career growth. Course 12: Career Development Plan Fundamentals Course 13: CV Writing and Job Searching Course 14: Networking Skills for Personal Success Course 15: Ace Your Presentations: Public Speaking Masterclass Course 16: Decision Making and Critical Thinking Seize this opportunity to elevate your career with our comprehensive Data Structure, Data Analytics bundle, endorsed by the prestigious QLS and accredited by CPD.Data Structure, Data Analytics with Statistics & Data Science QLS Endorsed Diploma. Learning Outcomes: Upon completion of this Data Structure, Data Analytics bundle, participants will be able to: Demonstrate proficiency in data analytics tools such as Tableau, SQL, and Google Data Studio through Data Structure, Data Analytics courses. Apply statistical techniques to analyse and interpret data for informed decision-making. Design and implement data structures to efficiently store and retrieve information. Utilise machine learning algorithms for predictive analysis and pattern recognition. Develop effective communication and presentation skills to convey insights to stakeholders. Navigate career development pathways in the field of data science and analytics. This Data Structure, Data Analytics course bundle provides a deep dive into the foundational principles of data structure, data analytics, and statistical methodologies. Participants will explore the fundamental concepts of data manipulation, including sorting, searching, and storing data efficiently. Through hands-on exercises and theoretical discussions, learners will gain a solid understanding of various data structures such as arrays, linked lists, trees, and graphs, along with their applications in real-world scenarios. Moreover, the Data Structure, Data Analytics bundle encompasses a comprehensive exploration of data analytics techniques, equipping participants with the skills to extract actionable insights from complex datasets. From descriptive and inferential statistics to predictive modelling and machine learning algorithms, learners will discover how to uncover patterns, trends, and correlations within data, enabling informed decision-making and strategic planning. Throughout the Data Structure, Data Analytics course, emphasis is placed on practical applications and case studies, allowing participants to apply their knowledge to solve real-world problems in diverse domains. CPD 160 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Data Structure, Data Analytics course is perfect for: Aspiring data analysts seeking to enhance their analytical skills acrod Data Structure, Data Analytics courses. Professionals transitioning into roles requiring proficiency in data analytics. Students pursuing careers in data science, statistics, or related fields. Business professionals looking to leverage data for strategic decision-making. Individuals interested in advancing their career prospects in the field of data analytics. Anyone seeking to gain a comprehensive understanding of data structure, analytics, and statistics. Requirements You are warmly invited to register for this bundle. Please be aware that there are no formal entry requirements or qualifications necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Upon completion of the Data Structure, Data Analytics courses, you will be able to: Data Analyst Business Intelligence Analyst Data Scientist Statistician Database Administrator Machine Learning Engineer Data Engineer Certificates 13 CPD Quality Standard Certificates Digital certificate - Included 3 QLS Endorsed Certificates Hard copy certificate - Included
Duration 5 Days 30 CPD hours This course is intended for This beginning DB2 basic course is for z/OS database administrators who need to acquire the basic skills required to administer a DB2 database in a z/OS environment. Overview Describe several services provided in a z/OS environmentExplain workloads in the batch environmentExplain workloads in the online environmentDescribe job roles in a z/OS environmentLog On to TSO/ENavigate TSO/E and ISPFUse TSO commandsSetup and utilize JCL (Job Control Language)Utilize SDSFDescribe the different types of data sets in a z/OS environmentAllocate data sets and list data set information and contentCreate and modify data set contentGive an overview of the DB2 9 environmentDescribe and utilize DB2 ObjectsDescribe and utilize several DB2 UtilitiesDescribe the DB2I (DB2 Interactive Facility) environmentUse SPUFI (SQL Processing Using File Input) to compose and execute SQLSetup and execute DB2 CommandsUnderstand DB2 LoggingDescribe DB2 program preparation processUnderstand DB2 startup and shutdownUnderstand and utilize DB2 recovery strategies This course is intended for students looking to develop fundamental skills or recognition through lectures and hands-on exercises of TSO/E and ISPF, data sets, DB2 objects, Structured Query Language, DB2 commands, JCL and SDSF. Day 1 Welcome Unit 1: Introduction Unit 2: TSO/E and ISPF Exercise 1: TSO and ISPF Exercise 1 Review Unit 3: Data Sets (Data Sets and Sequential Data Sets) Exercise 2: Sequential Data Sets Exercise 2 Review Day 2 Unit 3: Data Sets (Partitioned Data Sets) Exercise 3: Partitioned Data Sets Exercise 3 Review Unit 3: Data Sets (VSAM Data Sets) Exercise 4: VSAM Data Sets Exercise 4 Review Unit 4: JCL and SDSF Exercise 5: JCL and SDSF Exercise 5 Review Day 3 Unit 5: DB2 Relational Database Concepts Unit 6: Structured Query Language (SQL) and SPUFI Exercise 6: SQL and SPUFI Exercise 6 Review Unit 7: DB2 Objects (Databases and Table Spaces) Exercise 7: Databases and Table Spaces Exercise 7 Review Unit 7: DB2 Objects (Tables, Indexes, and Views) Exercise 8: Tables, Indexes, and Views Exercise 8 Review Day 4 Unit 7: DB2 Objects (Qualified Names, Implicit Object Creation, and SQL Statements) Exercise 9: Qualified Names, Implicit Object Creation, and SQL Statements Exercise 9 Review Unit 8: The DB2 System Exercise 10: The DB2 System Exercise 10 Review Unit 9: DB2 Commands and Program Preparation Exercise 11: DB2 Commands Exercise 11 Review Day 5 Unit 10: DB2 Utilities Exercise 12: DB2 Utilities Exercise 12 Review Unit 11: DB2 Shutdown, Startup, and Recovery Exercise 13: DB2 Recovery Exercise 13 Review Unit 12: Course Summary Additional course details: Nexus Humans CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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.
Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00
Course summary This Python Programming course has become essential to all professional who would like to do code using Python. Learn evenings, work while studying. Work and study Python Part Time. It is a Python beginners course and teaches Python coding from scratch to intermediate. Hands-on, practical. We code some real life examples in this course.
Duration 5 Days 30 CPD hours This course is intended for Database Administrator Help Desk/CoE Support System Administrator Technology Consultant Overview This course will prepare you to: Install and update an SAP HANA 2.0 SPS04 database Installation and configuration of SAP HANA cockpit 2.0 SP10 Perform the SAP HANA system administration tasks using SAP HANA cockpit 2.0 SP10 in a multitenant database environment Start and stop, change the configuration, backup and troubleshoot an SAP HANA 2.0 SPS04 database Backup and recover a multitenant SAP HANA 2.0 SPS04 database This course covers in detail all key capabilities of SAP HANA database system administration. Through the lectures and exercises you will learn how to install, update and operate an SAP HANA 2.0 SPS04 database using SAP HANA Cockpit 2.0 SP10. The course covers the most important database administration tasks of an SAP HANA system administrator. During the course, you will learn details about starting and stopping, changing the configuration parameters, monitoring the database, backup and recovery and troubleshoot of a multitenant SAP HANA 2.0 SPS04 database system. Course Outline This course is the best starting point to learn about SAP HANA installation, update, configuration and system administration The course is independent from the SAP NetWeaver administration world, as it teaches how to perform system administration on the SAP HANA platform. The system administration tools used are native to the SAP HANA platform At the end, you will be able to perform all the required daily system administration tasks on the SAP HANA database platform Throughout the course, you will learn about the following SAP HANA tools for installation, update, configuration and system administration SAP HANA database lifecycle manager (HDBLCM) SAP HANA cockpit 2.0 SP10 SAP HANA HDBSQL command line Contents SAP HANA introduction Installation sizing and OS preparations SAP HANA installation and upgrade of a multitenant database SAP HANA architecture and deployment options SAP HANA cockpit 2.0 installation and configuration SAP HANA Administration tools Post installation steps Database administration tasks using SAP HANA cockpit 2.0 Backup and recovery using SAP HANA cockpit 2.0 SAP HANA Security User and authorizations
About Course ASP.NET Core MVC 6: Master the Latest Web Development Framework Become a full-stack web developer with this comprehensive course on ASP.NET Core MVC 6, taught by a lead instructor with 20+ years of experience. This course is designed for beginners with zero or basic programming experience. You will learn everything you need to know to build modern web applications with ASP.NET Core MVC 6, including: HTML5 and CSS3 Bootstrap 4 C# ASP.NET Core MVC 6 Entity Framework Core SQL Server Express You will also learn about important web development concepts such as routing, controllers, views, and models. The course includes HD video tutorials, code challenges, and coding exercises to help you learn and practice the material. You will also build a real-world project to apply your skills. By the end of this course, you will be fluent in ASP.NET Core MVC 6 and ready to build any website you can dream of. Enroll today and start your journey to becoming a full-stack web developer! Benefits of taking this course: Learn from a lead instructor with 20+ years of experience Become a full-stack web developer with just one course Learn the latest tools and technologies used at large companies such as Apple, Facebook, Google, and Netflix Get comprehensive student testing and feedback from students who are working and applying these coding examples Learn by building real-world websites and web apps Get access to HD video tutorials, code challenges, and coding exercises Target audience: Beginners with zero or basic programming experience who want to learn how to build modern web applications with ASP.NET Core MVC 6 What Will You Learn? Learn structure of ASP .NET MVC Core (.NET 6) Project Create websites and webapp for your business needs Get a job as a junior web developer on Microsoft technologies Identify a case study to manage a project development Master front-end development using HTML & CSS back-end development using C# & MS SQL Create fully function dynamic MVC Core web applications using Asp .NET Core Creating Functional Model, View and Controller functionality on Movie Project Learn to Add Entity Framework Packages to Project Using NuGet Package Manager Applying SQL Server Database Connection to your application Running Power Shell Commands for Scaffolding and CRUD function Webforms Identify and applying Database Migrations You will learn fully functional Validations for your project Course Content Getting Started Course Introduction Course Curriculum How to Get Course Requirements Getting Started on Windows, Linux or Mac How to Ask Great Questions FAQ's ASP.NET Basics Section Introduction What You Can Build with ASP.NET Core What is ASP.NET Core How to Get Visual Studio Installing Visual Studio and ASP.NET Creating New Project Summary Prerequisites: HTML, CSS and Bootstrap Section Introduction HTML Overview Paragraph HTML List Items Forms CSS Overview CSS Internal CSS External CSS Forms Bootstrap Overview First Bootstrap Website Bootstrap Grids System Bootstrap Cards Summary ASP.NET MVC: Movie Project Section Introduction Source Code Reference MVC - Model View Controller Create a MVC Project Exploring the MVC Template Creating Controller Add a Controller URL Routing Logic Creating View Add a View Change Views and Layout Pages Passing Data from Controller to View Creating Model Add a Model Add Entity Framework Packages Scaffold Movie Pages-CRUD Database Migrations Initial Migration Generated Database Context Class Dependency Injection Database Connection String Summary Working with Database Section Introduction SQL Server Express Local DB Seed the Database Add the Seed Initializer Summary Add Search to ASP.NET Core MVC App Section Introduction Add Search Method to Controller Add Search to Page Search by Parameter Summary Model Update Section Introduction Add a New Field to Model Add-Migration Update Database Summary Validations Add Validation Rules to Model Required and Minimum Length Regular Expression Range String Length Validation on Error UI Enable JavaScript on Browser Examine the Details and Delete Code Review on Details Method Code Review on Delete Method Course Files and Resources Course Files and Resources A course by Sekhar Metla IT Industry Expert Xpert Learning RequirementsBasic C# programming experience needed(optional). You will learn MVC Core need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required on MVC - you will learn from basic Audience Beginner Asp .Net MVC Core C# coding, Microsoft SQL and CSS developers curious about web development Anyone who wants to generate new income streams Anyone who wants to build dynamic web applications Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Anyone who wants to build fully functional asp .net core mvc database applications Audience Beginner Asp .Net MVC Core C# coding, Microsoft SQL and CSS developers curious about web development Anyone who wants to generate new income streams Anyone who wants to build dynamic web applications Anyone who wants to become financially independent Anyone who wants to start their own business or become freelance Anyone who wants to become a Full stack web developer Anyone who wants to build fully functional asp .net core mvc database applications
Signalling training course description An intensive course that defines and explores the signalling methods that are to be found in today's telecommunications services. What will you learn Describe the Functionality and Features of Signalling. Describe the Functionality of Analogue & Digital Subscriber Signalling. Describe the various types of signalling used on different network types. Describe the Functionality of Private Network Signalling. Describe the Functionality of Public Network Signalling. Signalling training course details Who will benefit: Personnel involved with systems design, implementation and support. Prerequisites: Telecommunications Introduction Duration 2 days Signalling training course contents Introduction What is Signalling?, Standards, ITU-T Recommendations, Signalling Categories - Supervisory Addressing, E.164, Call Information, Network Management, Network Components, Inband/Outband Switch Signalling, Analogue Vs Digital Signalling. Analogue Subscriber Signalling Analogue Local Loops/Switches/Trunks, Digital Switches/Local Loops, Telephone Handset, Accessing the Local Exchange, Pulse/Tone Dialling. Digital Subscriber Signalling Integrated Digital Access, DASS2 & DPNSS, DASS2 - Call, IMUX, Euro ISDN, Q.931 Call Control, Message Identification, Message Types, Call Establishment Messages, Call Clearing. Network Types Service Types, Circuit Switched, Packet Switched, Signalling Terminology, In-Channel Signalling, G.704, Performance and Quality, Digital Signalling, CAS, CAS Applications, Foreign Exchange, CCS, Break-In/Out Private Network Signalling Types Networking PABXs, Inter PABX Analogue Signalling Methods, E & M, Tone-On-Idle, Inter PABX Digital Signalling Methods, DPNSS, DPNSS Deployment, PABX Support for DPNSS, DPNSS Call, Q.Sig, Q.Sig support/functionality/protocol, Message Overview, Call Establishment. Public Network Signalling SS7, SS7 Operations, SS7 Topology, SSP, STP, SCP, Database Types - CMSDB NP LIDB HLR VLR, Signalling Modes, Link Types, Further Redundancy, Linksets, SS7 addressing, Point Codes, Sub-System, Global Title Addressing and Translation, ANSI PCs, ITU-T PCs, SS7 Protocol Stack, MTP Level 1, MTP Level 2, Flow Control, FISU, LSSU, MSU, MSU SIF, MTP Level 3, SCCP, TCAP, TUP, Facility Format, Main Facilities, Flow Control Negotiation, Closed User Groups, Reverse Charging, Fast Select Facility, Throughput Class Negotiation, Call Barring, On-Line Facility Registration. BTUP, ISDN ISUP, Supplementary Services, ISUP Call - IAM, Progress/Answer/Suspend/ Resume/Release Messages, Intelligent Network (IN) Introduction, IN Evolution, IN Conceptual Model, IN Target Services & Service Features, Service Independent Building Blocks