81 NoSQL courses delivered Online

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)

Duration 4 Days 24 CPD hours This course is intended for This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials. This course does not cover Java or Spring development basics. Overview Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will: Understand the ReactiveX specification Understand the basics of Reactive Programming Discuss the advantages and limitations of Observables Write a client application capable of handling Reactive events Apply operators to event streams to filter, modify and combine the objects emitted by event publishers Select the appropriate type of Event Source Use both Cold and Hot Observables Deal with backpressure problems in reactive programming Develop a reactive web application using Spring WebFlux Define application flows of a WebFlux application Use the WebClient API to work with both synchronous and streaming APIs Develop Unit and Integration tests to test WebFlux endpoints Creating a reactive REST endpoint Become familiar with the basics of WebSockets Create a WebSocket endpoint using Spring Create a WebSocket client Understand the basics of NoSQL Become familiar with the basics of MongoDB Understand how the data in MongoDB can be retrieved using a Reactive API Define Spring Data MongoDB repositories Query the MongoDB using Spring Data Define a reactive repository using MongoDB Explore the Spring Data R2DBC API to perform reactive CRUD operations against a relational database Spring Data reative allow us to implement database operations relying on Reative Programming APIs. While the Spring R2DBC initiative aims to bring reactive programming to relational databaes, several NoSQL databases already provide this possibility. After an introduction to NoSQL and the MongoDB, this courses covers the APIs available to communicate with this NoSQL database using both blocking and reactive APIs.Introdcution to Reactive Spring is a comprehensive Java training workshop geared for experienced developers who wish to explore concurrent, asynchronous and reactive programming APIs and techniques using Spring. After an introduction to reactive programming, Reactive Streams and the Project Reactor APIs, this course will show how this APIs are integrated into Spring. Spring 5 includes Spring WebFlux, providing a reactive programming model for web applications, including support for Reactive REST APIs. Spring WebSocket assists in the creation of web applications which provide a full-duplex, two-way communication between client and server. Introduction to Reactive Programming Reactive Manifesto Introduce ReactiveX ReactiveX implementations The Observer, Iterator pattern and functional programming Discuss hot and cold publishers Reactive Streams API Introduce the Reactive Streams specification Publisher and Subscribers java.util.concurrent.Flow Transformation of Messages (Processor) Controlling messages Tutorial: Setup Eclipse for Using Maven Introduction Introduce the Reactor Building blocks Flux and Mono Creating observables Subscribing to a stream Testing Event Sources (introduction) Testing reactive implementations StepVerifier : test sequence of emitted items Defining expectations TestPublisher: produce test data to test downstream operators Reactive Operators Introduce Operators Show the use of marble diagrams Explain some commonly used operators Callback operators Schedulers (Multithreading) Thread usage of subscriber and consumer Using the subscribeOn method Introduce the Scheduler interface Using the observeOn method Backpressure Strategies for dealing with Backpressure ?reactive pull? backpressure Exception Handling Handling errors in onError Exception handling strategies Using onErrorReturn or onErrorNext operators Using the retry operators The Global Error Handler Spring Data Review Quick review of Spring Data repositories Query return types Defining Query methods Pagination and sorting R2DBC Reactive Relational Database Connectivity DatabaseClient Performing CRUD operations Reactive Query annotated methods Spring WebFlux: Introduction Annotated Controllers Functional Endpoints WebFlux configuration Creating a reactive REST endpoint Defining flows Defining the application flow Actions Defining decision Navigating flows RouterFunction View Technologies View technologies Using Thymeleaf to create the view View Configuration Spring WebClient: Introduction to WebClient Working with asynchronous and streaming APIs Making requests Handling the response Lab: WebClient WebTestClient Testing WebFlux server endpoints Testing controllers or functions Define integration tests Introduction to Spring Reactive WebSockets Be familiar with the basics of WebSockets Understand the HTTP handshake and upgrade Name some of the advantages of WebSockets Defining the WebSocket WebSocket Message Handling WebSocketSession Implementing the WebSockethandler Creating a Browser WebSocket Client WebSocket STOMP Streaming (or Simple) text-orientated messaging protocol Introduce SockJS Connecting to the STOMP endpoint Configuring the message broker STOMP destinations Reactive WebSocket Reactive WebSocket support Implement the reactive WebSocketHandler BigData Introduce Big Data Explain the need for enhanced data storage Introduction to MongoDB JavaScript Object Notation Overview Introduce Binary JSON (BSON) Starting the database Creating Collections and Documents Executing ?simple? database commands Introduce the ObjectID Searching for documents using query operators Updating and deleting documents MongoDB Compass Spring and MongoDB MongoDB Support in Spring Data MongoClient and MongoTemplate Spring Data MongoDB configuration @EnableMongoRepositories Adding documents to the database The @Document and @Field annotations Polymorphism and the _class property The Criteria object Spring Data MongoDB MongoRepository Field naming strategy Using JSON queries to find documents The @PersistenceConstructor annotation Reactive Repositories with MongoDB Using reactive repositories ReactiveMongoTemplate RxJava or Reactor Additional course details: Nexus Humans Introduction to Reactive Spring (TT3355 ) 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 Introduction to Reactive Spring (TT3355 ) 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.

This course focuses on the beginner-level concepts of cloud computing in two different arenas. The first part is to explore the world of database technologies or DBaaS (Database as a Service) and the second part revolves around IaaS (Infrastructure as a Service) model.

Welcome to this beginner's level course on Microsoft SQL Servers. Understand the concepts of SQL and learn to create a new database and table to perform various operations on it, with live running queries as examples. Work on hands-on exercises and understand database concepts in a real-world scenario.

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Intermediate software developers Overview In this course, you will learn to: Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript Interact with AWS services and develop solutions by using the AWS SDK Use AWS Identity and Access Management (IAM) for service authentication Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions Use Amazon Cognito for user authentication Use Amazon ElastiCache to improve application scalability Leverage the CI/CD pipeline to deploy applications on AWS In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips. Module 0: Course Overview Agenda Introductions Student resources Module 1: Introduction to AWS Introduction to the AWS Cloud Cloud scenarios Infrastructure overview Introduction to AWS foundation services Module 2: Introduction to Developing on AWS Getting started with developing on AWS Introduction to developer tools Introduction to management tools Module 3: Introduction to AWS Identity and Access Management Shared responsibility model Introduction to IAM Use authentication and authorization Module 4: Introduction to the Lab Environment Introduction to the lab environment Lab 1: Getting started and working with IAM Module 5: Developing Storage Solutions with Amazon Simple Storage Service Overview of AWS storage options Amazon S3 key concepts Best practices Troubleshooting Scenario: Building a complete application Lab 2: Developing storage solutions with Amazon S3 Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB Introduction to AWS database options Introduction to Amazon DynamoDB Developing with DynamoDB Best practices Troubleshooting Scenario: Building an end-to-end app Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB Module 7: Developing Event-Driven Solutions with AWS Lambda What is serverless computing? Introduction to AWS Lambda Key concepts How Lambda works Use cases Best practices Scenario: Build an end-to-end app Module 8: Developing Solutions with Amazon API Gateway Introduction to Amazon API Gateway Developing with API Gateway Best practices Introduction to AWS Serverless Application Model Scenario: Building an end-to-end app Lab 4: Developing event-driven solutions with AWS Lambda Module 9: Developing Solutions with AWS Step Functions Understanding the need for Step Functions Introduction to AWS Step Functions Use cases Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service Why use a queueing service? Developing with Amazon Simple Queue Service Developing with Amazon Simple Notification Service Developing with Amazon MQ Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS Module 11: Caching Information with Amazon ElastiCache Caching overview Caching with Amazon ElastiCache Caching strategies Module 12: Developing Secure Applications Securing your applications Authenticating your applications to AWS Authenticating your customers Scenario: Building an end-to-end app Module 13: Deploying Applications Introduction to DevOps Introduction to deployment and testing strategies Deploying applications with AWS Elastic Beanstalk Scenario: Building an end-to-end app Lab 6: Building an end-to-end app Module 14: Course wrap-up Course overview AWS training courses Certifications Course feedback

A complete guide to the Cassandra architecture, the Cassandra query language, cluster management, and Java/Spark integration.

Azure Storage is Microsoft's cloud storage solution for modern data storage scenarios. Azure Storage offers a massively scalable object store for data objects, a file system service for the cloud, a messaging store for reliable messaging, and a NoSQL store.  This Azure - Azure Storage is designed to instruct you on Azure, and specifically how it pertains to containers. In this course, you will gain a comprehensive overview of storage in Azure. The course will teach you how to work with Azure storage accounts. You will learn how to expose file shares to multiple VMs in Azure at the same time. It guides you the procedures of using Blob storage, File Storage, and Content Delivery Network. Additionally, you will know how to monitor the storage and look at Azure File Sync. You will also review CDN profile. Finally, the course teaches you how to work with Backup Vault and site Recovery. What Will I Learn? Work with Azure storage accounts Use Blob Storage Use Content Delivery Network Work with Backup Vault and Site Recovery Requirements Some prior knowledge in Azure is required, or the completion of Introduction to Azure course Introduction Introduction FREE 00:03:00 Working with Storage Azure Storage Overview 00:03:00 Working with Azure Storage Accounts 00:09:00 Storage Access 00:05:00 Using Azure Blob Storage 00:06:00 Using Azure File Storage 00:04:00 Azure File Sync 00:10:00 Monitoring Storage 00:03:00 Content Delivery Network 00:03:00 CDN Profile 00:06:00 Azure Backup Vault 00:04:00 Azure Site Recovery 00:03:00 Conclusion Course Recap 00:03:00 Course Certification

Create a real-world backend for a Bootcamp directory app

Give a compliment to your career and take it to the next level. This Big Data will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this bundle will help you stay ahead of the pack. Throughout the Big Data programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector. Along with this Big Data course, you will get 10 premium courses, an original hardcopy, 11 PDF certificates (Main Course + Additional Courses) Student ID card as gifts. This Big Data Bundle Consists of the following Premium courses: Course 01: SQL NoSQL Big Data and Hadoop Course 02: Complete Microsoft Power BI 2021 Course 03: Introduction to Data Analysis Course 04: Python for Data Analysis Course 05: Statistical Analysis Course 06: Data Analytics with Tableau Course 07: Basic Google Data Studio Course 08: Fundamentals of Business Analysis Course 09: Complete Introduction to Business Data Analysis Level 3 Course 10: Business Intelligence and Data Mining Masterclass Course 11: Research Methods in Business Enrol now in Big Data to advance your career, and use the premium study materials from Apex Learning. Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Big Data expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes. CPD 135 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Big Data bundle. Requirements This Big Data course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. 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 (Title Course) 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.

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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 PL-300T00: Microsoft Power BI Data Analyst 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.