744 SQL courses

Duration 1 Days 6 CPD hours This course is intended for Individuals responsible for articulating the technical benefits of AWS services Individuals interested in learning how to get started with using AWS SysOps Administrators, Solution Architects and Developers interested in using AWS services Overview Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console. Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS). Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM). Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor. AWS Technical Essentials introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS. Prerequisites Working knowledge of distributed systems Familiarity with general networking concepts Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 1 - AWS introduction and history AWS Global Infrastructure Demonstration: AWS Management Console 2 - AWS Storage Identify key AWS storage options Describe Amazon EBS Create an Amazon S3 bucket and manage associated objects 3 - Compute, network and storage services Amazon Elastic Compute Cloud (EC2) Amazon Virtual Private Cloud (VPC) Amazon Simple Storage Service (S3) Amazon Elastic Block Store (EBS) Demonstration: Amazon Simple Storage Service (S3) Hands-on lab: Build your VPC and launch a web server 4 - AWS Security, AWS Identity and Access Management (IAM) AWS Identity and Access Management (IAM) Demonstration: AWS Identity and Access Management (IAM) 5 - Compute Services & Networking Identify the different AWS compute and networking options Describe an Amazon Virtual Private Cloud (VPC) Create an Amazon EC2 instance Use Amazon EBS with Amazon EC2 6 - Managed Services & Database Describe Amazon DynamoDB Understand key aspects of Amazon RDS Launch an Amazon RDS instance 7 - Databases (RDS, DynamoDB) SQL and NoSQL databases Data storage considerations Hands-on lab: Build your database server and connect to it 8 - AWS elasticity and management tools Auto scaling Load balancing Cloud Watch Trusted Advisor Hands-on lab: Scale and load balance your architecture 9 - Deployment and Management Identify what is CloudFormation Describe Amazon CloudWatch metrics and alarms Describe Amazon Identity and Access Management (IAM)

Learning AWS VPC would be your stepping stone into an AWS career. A good understanding of VPC and its components is a MUST going into any AWS certification. Get started with Amazon VPC and prepare for certification with the help of this comprehensive course. There are no prerequisite requirements for this course.

This is an intermediate to advanced ASP.NET Core (.NET 6) course that will take you from the basics to the advanced mode. This course is for anyone who has a basic understanding of ASP.NET Core and wants to learn how to architect and build real-world ASP.NET Core apps.

This video course takes a step-by-step and systematic approach to make you familiar with the bash shell scripting. You'll learn how to use the Linux command-line and commands to write and execute shell scripts for automating repetitive computing tasks.

14 Courses Mega Bundle | CPD QS Certified | 140 CPD Points | Free Certificates (PDF + Hard Copy) | Customer Support | Lifetime Access | Enrol Now

***Limited Time Exclusive App Development Bundle*** Prepare for a career in the high-growth field of IT. No experience or degree is required The demand for developers is expected to rise in the next couple of years from 17% to 24%. As a result, the need to hire app developers for mobile app development has increased significantly over the past few years and will reach an all-time high in 2022. You can also work on your own and sell your apps for millions as a mobile app developer. So, if you want to enter a thriving industry and secure your future, this App Development core skills training programme is perfect for you. Here you will learn both Android and iOS app development. Learning Outcomes of App Development Bundle: Learn how to develop apps for both Android and iOS Master Flutter & Dart development for building iOS and Android apps Become an expert in creating widgets, gestures, navigation components Graphics designing fundamentals and Adobe Photoshop Complete iOS 11, Swift 4, and Mac development Improve your grasp in UI/UX, SQL and much more Also, our experts are available to answer your queries on App Development and help you along your learning journey. Advanced audio-visual learning modules of these App Development courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once. This App Development Bundle Consists of the following Premium courses: Course 01: Advanced Diploma in Android App Development Course 02: Flutter & Dart Development for Building iOS and Android Apps Course 03: Mastering Java for Beginners & Experts Course 04: Kotlin for Android Course 05: Complete iOS 11 and Swift 4 Course 06: Swift: Mac and iOS Development Course 07: Level 2 Adobe Graphics Design Course Course 08: Advanced Diploma in User Experience UI/UX Design Course 09: Microsoft SQL Server Development for Everyone Course 10: Internet of Things Course 11: Functional Skills IT Course 12: Cyber Security Incident Handling and Incident Response Course 13: Learn Ethical Hacking From A-Z: Beginner To Expert Course 14: Decision Making and Critical Thinking So enrol now in this App Development bundle to advance your career! App Development Curriculum of App Development Bundle Course 01: Advanced Diploma in Android App Development Setup Basic Views and Layouts Java basics Layouts and Media Activities and Passing Data ListView and RecyclerView Android Google News App Databases Whatsapp Video calling Course 02: Flutter & Dart Development for Building iOS and Android Apps Introduction Widgets Gestures Navigation Components Input/Selection Components And much more... How will I get my Certificate? After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (For The Title Course) Hard Copy Certificate: Free (For The Title Course) CPD 185 CPD hours / points Accredited by CPD Quality Standards Who is this course for? App Development Anyone from any background can enrol in this App Development bundle. Requirements App Development This App Development course has been designed to be fully compatible with tablets and smartphones. Career path Mobile App Developer - £30-50k/year. Web App Developer - £25-45k/year. Software Developer - £30-60k/year. Game Developer - £25-45k/year. UI/UX Designer - £25-45k/year. Technical Support Specialist - £20-30k/year. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Advanced Diploma in Android App Development) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

***24 Hour Limited Time Flash Sale*** Coding (Computer Programming) Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Coding (Computer Programming) Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Coding (Computer Programming) bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in Coding (Computer Programming) Online Training, you'll receive 26 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this Bundle: Introductory Programming Course 01: Coding with Scratch Course 02: HTML Web Development for Beginners Course 03: Coding with HTML, CSS, & Javascript Course 04: Python Programming for Everybody Web Development Fundamentals Course 05: JavaScript Foundations for Everyone Course 06: Ultimate PHP & MySQL Web Development & OOP Coding Course 07: jQuery: JavaScript and AJAX Coding Bible Course 08: Basic Node.JS Course 09: JavaScript Project - Game Development with JS Advanced Web Technologies & Frameworks Course 10: Master JavaScript with Data Visualization Course 11: Ionic & Angular JS: Mobile and Web Development Course 12: Building a TodoMVC Application in Vue, React, and Angular Database Design and Development Course 13: SQL Programming Masterclass Course 14: Microsoft SQL Server Development for Everyone Course 15: The Complete MySQL Server from Scratch: Bootcamp Web Security Course 16: Encryption Course 17: Web Application Penetration Testing Course 18: Secure Programming of Web Applications - Developers and TPMs Specialized Skills and Programming Course 19: C++ Development: The Complete Coding Guide Course 20: Bash Scripting, Linux, and Shell Programming With Coding (Computer Programming), you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in Coding (Computer Programming) today and take the first step towards achieving your goals and dreams. Why buy this Coding (Computer Programming)? Free CPD Accredited Certificate upon completion of Coding (Computer Programming) Get a free student ID card with Coding (Computer Programming) Lifetime access to the Coding (Computer Programming) course materials Get instant access to this Coding (Computer Programming) course Learn Coding (Computer Programming) from anywhere in the world 24/7 tutor support with the Coding (Computer Programming) course. Start your learning journey straightaway! Coding (Computer Programming) premium bundle consists of 26 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of Coding (Computer Programming) is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the Coding (Computer Programming) course. After passing the Coding (Computer Programming) exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Coding (Computer Programming) course is ideal for: Students seeking mastery in Coding (Computer Programming) Professionals seeking to enhance Coding (Computer Programming) skills Individuals looking for a Coding (Computer Programming)-related career. Anyone passionate about Coding (Computer Programming) Requirements This Coding (Computer Programming) doesn't require prior experience and is suitable for diverse learners. Career path This Coding (Computer Programming) bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for networking and security professionals involved in the day-to-day management of a FortiAnalyzer appliance and FortiGate security information.. Overview Describe key features and concepts of FortiAnalyzer Deploy an appropriate architecture Manage ADOMs on both FortiAnalyzer and the devices that log to it Configure RAID Register supported devices Encrypt log transmission (SSL / IPSec) View & analyze current and historical logs (FortiView) Monitor events Apply disk quotas to log data from devices Backup, restore, and forward log data Use content archiving (summary and full) Understand the different stages of data processing, from receiving logs to compiling reports Understand SQL queries and datasets used by FortiAnalyzer reports Design datasets, charts, and custom reports Generate reports by schedule or on demand. In this 1-day class, you will learn how to use FortiAnalyzer. You will explore setup, registering supported devices and securing communications, managing logs and archives, and configuring both predefined and customized reports. Introduction to FortiAnalyzer Key features Key concepts Different FortiAnalyzer models Configuration & Administration Deployment requirements Configuration tools Configuring network settings Backing up system configuration Configuring administrative users Configuring, enabling, and assigning ADOMs Configuring RAID Device Registration Registered and unregistered devices Device registration methods Modifying options of a registered device Methods available to secure communication Configuring SSL encryption and encryption levels Configuring an IPsec tunnel Logs & Archives Logging basics The FortiView tab Configuring log arrays and event handlers Reports Reports and functionality Relationship between reports, charts, and datasets Effect of ADOMs on report settings SQL SELECT queries and clauses SQL functions and operators FortiAnalyzer-specific functions and macros Building or customizing charts Report features--creating, cloning, configuring