86 NoSQL courses

This is a comprehensive course designed to provide a solid foundation in web development principles and practices. This course is intentionally structured to provide a technical understanding of web development concepts without delving into intricate implementation details. Anyone looking to better understand how web applications are built can take this course.

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

Tired of browsing and searching for a Data Analysis and Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed. After surveying thousands of learners just like you and considering their valuable feedback, this all-in-one Data Analysis and Data Science bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Data Analysis and Data Science course that will enhance your skills and prepare you for the competitive job market. Also, our experts are available for answering your queries on Data Analysis and Data Science and help you along your learning journey. Advanced audio-visual learning modules of these Data Analysis and Data Science 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. Furthermore, to help you showcase your expertise in Data Analysis and Data Science, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest. This Data Analysis and Data Science Bundle Consists of the following Premium courses: * Course 01: Introduction to Data Analysis * Course 02: Python for Data Analysis * Course 03: Statistical Analysis * Course 04: SQL NoSQL Big Data and Hadoop * Course 05: Complete Microsoft Power BI 2021 * Course 06: Data Analysis in Excel Level 3 Course * Course 07: Data Analytics with Tableau * Course 08: Basic Google Data Studio * Course 09: Business Analytics * Course 10: Complete Introduction to Business Data Analysis Level 3 * Course 11: Business Intelligence and Data Mining Masterclass * Course 12: Research Methods in Business * Course 13: Computer Science: Graph Theory Algorithms * Course 14: Data Protection and Data Security Level 2 Enrol now in Data Analysis and Data Science to advance your career, and use the premium study materials from Apex Learning. 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) The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analysis and Data Science expertise and essential knowledge, which will assist you in reaching your goal. Curriculum of Bundle Course 01: Introduction to Data Analysis * Module 01: Introduction * Module 02: Agenda and Principles of Process Management * Module 03: The Voice of the Process * Module 04: Working as One Team for Improvement * Module 05: Exercise: The Voice of the Customer * Module 06: Tools for Data Analysis * Module 07: The Pareto Chart * Module 08: The Histogram * Module 09: The Run Chart * Module 10: Exercise: Presenting Performance Data * Module 11: Understanding Variation * Module 12: The Control Chart * Module 13: Control Chart Example * Module 14: Control Chart Special Cases * Module 15: Interpreting the Control Chart * Module 16: Control Chart Exercise * Module 17: Strategies to Deal with Variation * Module 18: Using Data to Drive Improvement * Module 19: A Structure for Performance Measurement * Module 20: Data Analysis Exercise * Module 21: Course Project * Module 22: Test your Understanding Course 02: Python for Data Analysis * Welcome, Course Introduction & overview, and Environment set-up * Python Essentials * Python for Data Analysis using NumPy * Python for Data Analysis using Pandas * Python for Data Visualization using matplotlib * Python for Data Visualization using Seaborn * Python for Data Visualization using pandas * Python for interactive & geographical plotting using Plotly and Cufflinks * Capstone Project - Python for Data Analysis & Visualization * Python for Machine Learning (ML) - scikit-learn - Linear Regression Model * Python for Machine Learning - scikit-learn - Logistic Regression Model * Python for Machine Learning - scikit-learn - K Nearest Neighbors * Python for Machine Learning - scikit-learn - Decision Tree and Random Forests * Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) * Python for Machine Learning - scikit-learn - K Means Clustering * Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) * Recommender Systems with Python - (Additional Topic) * Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Course 03: Statistical Analysis * Module 01: The Realm of Statistics * Module 02: Basic Statistical Terms * Module 03: The Center of the Data * Module 04: Data Variability * Module 05: Binomial and Normal Distributions * Module 06: Introduction to Probability * Module 07: Estimates and Intervals * Module 08: Hypothesis Testing * Module 09: Regression Analysis * Module 10: Algorithms, Analytics and Predictions * Module 11: Learning From Experience: The Bayesian Way * Module 12: Doing Statistics: The Wrong Way * Module 13: How We Can Do Statistics Better Course 04: SQL NoSQL Big Data and Hadoop * Module 01: Introduction * Module 02: Relational Database Systems * Module 03: Database Classification * Module 04: Key-Value Store * Module 05: Document-Oriented Databases * Module 06: Search Engines * Module 07: Wide Column Store * Module 08: Time Series Databases * Module 09: Graph Databases * Module 10: Hadoop Platform * Module 11: Big Data SQL Engines * Module 12: Distributed Commit Log * Module 13: Summary Course 05: Complete Microsoft Power BI 2021 * Module 01: Introduction * Module 02: Preparing our Project * Module 03: Data Transformation - The Query Editor * Module 04: Data Transformation - Advanced * Module 05: Creating a Data Model * Module 06: Data Visualization * Module 07: Power BI & Python * Module 08: Storytelling with Data * Module 09: DAX - The Essentials * Module 10: DAX - The CALCULATE function * Module 11: Power BI Service - Power BI Cloud * Module 12: Row-Level Security * Module 13: More data sources * Module 14: Next steps to improve & stay up to date Course 06: Data Analysis in Excel Level 3 Course * Modifying a Worksheet * Working with Lists * Analyzing Data * Visualizing Data with Charts * Using PivotTables and PivotCharts * Working with Multiple Worksheets and Workbooks * Using Lookup Functions and Formula Auditing * Automating Workbook Functionality * Creating Sparklines and Mapping Data * Forecasting Data Course 07: Data Analytics with Tableau * Module 01: Introduction to the Course * Module 02: Project 1: Discount Mart (Sales and Profit Analytics) * Module 03: Project 2: Green Destinations (HR Analytics) * Module 04: Project 3: Superstore (Sales Agent Tracker) * Module 05: Northwind Trade (Shipping Analytics) * Module 06: Project 5: Tesla (Stock Price Analytics) * Module 07: Bonus: Introduction to Database Concepts * Module 08: Tableau Stories Course 08: Basic Google Data Studio * Module 01: Introduction to GDS * Module 02: Data Visualization * Module 03: Geo-visualization * Module 04: A Socio-Economic Case Study Course 09: Business Analytics * Module 01: What is business analysis? * Module 02: Strategy analysis * Module 03: Collaboration * Module 04: Requirements analysis and Design definition * Module 05: Requirements lifecycle management * Module 06: Solution quality * Module 07: Stakeholder management * Module 08: BA Governance * Module 09: Legal notes and Copyright information Course 10: Complete Introduction to Business Data Analysis Level 3 * Module 1: Statistics Fundamentals * Module 2: Data Analysis * Module 3: Probability * Module 4: Random Variables and Discrete Distributions * Module 5: Continuous Distributions * Module 6: Sampling Distributions * Module 7: Confidence Interval * Module 8: Hypothesis Testing with One Sample * Module 9: Hypothesis Testing with Two Samples * Module 10: The Chi-Square Distribution * Module 11: F Distribution and One-Way ANOVA * Module 12: Correlation analysis * Module 13: Simple Linear Regression Analysis Course 11: Business Intelligence and Data Mining Masterclass * Module 01: What is Business Intelligence? * Module 02: Starting Case in understanding BI needs in diff phase of business * Module 03: Decision Making Process and Need of IT systems * Module 04: Problem Structure and Decision Support System * Module 05: Introduction to BI Applications * Module 06: Dashboard presentation systems * Module 07: Different Types of Charts used in 131 Dashboards * Module 08: Good Dashboard and BSC * Module 09: Examples of Bad Dashboards 1 * Module 10: Examples of Bad Dashboards 2 And much more... Course 12: Research Methods in Business * Section 01: Applied Project & Research Methods in Business * Section 02: Writing a Purpose / Quantitative and Qualitative Research Approaches * Section 03: Mixed Method Research Approaches, Ethical Considerations & Writing * Effectively Written Methodology Part 3 !@@ * Section 04: Writing Data Collection Tools, Qualitative & Quantitative Data Analysis * Section 05: Comparing Findings to Literature and Writing the Final Paper Course 13: Computer Science: Graph Theory Algorithms * Module 00: Promo * Module 01: Introduction * Module 02: Common Problem * Module 03: Depth First Search * Module 04: Breadth First Search * Module 05: Breadth First Search Shortest Path on a Grid And much more... Course 14: Data Protection and Data Security Level 2 * GDPR Basics * GDPR Explained * Lawful Basis for Preparation * Rights and Breaches * Responsibilities and Obligations CPD 165 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? Anyone from any background can enrol in this Data Analysis and Data Science bundle. REQUIREMENTS Our Data Analysis and Data Science course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices. CAREER PATH Having this Data Analysis and Data Science expertise will increase the value of your CV and open you up to multiple job sectors. CERTIFICATES CERTIFICATE OF COMPLETION Digital certificate - Included You will get the PDF Certificate for the title course (Introduction to Data Analysis) absolutely Free! CERTIFICATE OF COMPLETION Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Introduction to Data Analysis) 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.

Dive into the heart of Big Data Infrastructure, exploring storage systems, distributed file frameworks, and processing paradigms. This course provides a comprehensive understanding of key components like HDFS, Apache Spark, and Cassandra, offering insights into their architecture, use cases, and real-world applications. This course is a deep dive into the complex landscape of Big Data Infrastructure. From unravelling the architecture of Apache Spark to dissecting the benefits of distributed file systems, participants gain expertise in assessing, comparing, and implementing various Big Data storage and processing systems. Scalability, fault-tolerance, and industry-specific case studies add practical depth to theoretical knowledge. After the successful completion of this course, you will be able to: * Understand the Components of Big Data Infrastructure, Including Storage Systems, Distributed File Systems, and Processing Frameworks. * Identify the Characteristics and Benefits of Distributed File Systems Such as Hadoop Distributed File System (H.D.F.S). * Describe the Architecture and Capabilities of Apache Spark and its Role in Big Data Processing. * Recognise the Use Cases and Benefits of Apache Cassandra as a Distributed N..O.S.Q.L Database. * Compare and Contrast Different Big Data Storage and Processing Systems Such as Hadoop, Spark, and Cassandra. * Understand the Scalability and Fault-tolerance Mechanisms Used in Big Data Infrastructure, Such as Sharding and Replication. * Appreciate the Challenges Associated with Deploying and Managing Big Data Infrastructure, Such as Hardware and Software Configuration and Security Considerations. Explore the intricacies of Big Data Infrastructure, from understanding storage systems to unraveling the nuances of distributed file frameworks and processing engines. Gain a comprehensive view of scalability, fault-tolerance mechanisms, and industry-specific challenges through engaging case studies. Equip yourself to navigate the dynamic landscape of Big Data with confidence and expertise. * VIDEO - COURSE STRUCTURE AND ASSESSMENT GUIDELINES Watch this video to gain further insight. * NAVIGATING THE MSBM STUDY PORTAL Watch this video to gain further insight. * INTERACTING WITH LECTURES/LEARNING COMPONENTS Watch this video to gain further insight. * BIG DATA INFRASTRUCTURE Self-paced pre-recorded learning content on this topic. * BIG DATA INFRASTRUCTURE Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be an added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone who is eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. * Big Data Infrastructure Engineer * Hadoop Administrator * Spark Developer * Cassandra Database Administrator * Big Data Solutions Architect * Data Infrastructure Manager * NoSQL Database Analyst * Big Data Consultant AVERAGE COMPLETION TIME 2 Weeks ACCREDITATION 3 CPD Hours LEVEL Advanced START TIME Anytime 100% ONLINE Study online with ease. UNLIMITED ACCESS 24/7 unlimited access with pre-recorded lectures. LOW FEES Our fees are low and easy to pay online.

Transform Your Career with Our IT: Data Analysis, Data Science & Data Protection Program - an all-in-one Program Designed for Mastery! Do you know the demand for IT professionals with expertise in data science is skyrocketing? This Ultimate IT: Data Analysis, Data Science & Data Protection Program is your gateway to a thriving career in this dynamic industry. This program is meticulously designed to equip you with the knowledge and skills demanded by hiring managers across various sectors. By enrolling in this IT: Data Analysis, Data Science & Data Protection program, you'll embark on a journey that opens doors to exciting opportunities and empowers you to shape your future in the IT industry. Our IT: Data Analysis, Data Science & Data Protection program will give you a comprehensive understanding of data analysis, from data collection and preparation to data visualisation and communication. You will be equipped with the necessary skills and guidance to uncover insights from data, solve real-world problems, and make informed decisions. Also, you will discover the ethical and legal implications of data handling, how to protect sensitive information & develop a career in this sector. Moreover, we're your dedicated partners on this exciting journey. Our goal isn't just to teach you; it's to support you 24/7 so you can get closer to your dream job. We're so confident with our program that we offer a 100% money-back guarantee, ensuring your complete satisfaction. Learning Outcomes By completing this IT: Data Analysis, Data Science & Data Protection program, you will gain expertise in the following: * Data analysis techniques and methodologies. * Python programming for data analysis. * Business intelligence and data mining. * Advanced Excel techniques, including VBA and Power Query. * SQL programming and big data technologies. * Data Science & Data Protection, Machine Learning with Python and R. * Data visualisation with tools like Tableau and Power BI. * Statistics and probability for data science. * Effective career development and job-seeking skills. * Design an engaging resume and excel in the job search. * Succeed in interviews, including video interviews. * Build a strong LinkedIn profile to connect with professionals and enhance your online visibility in IT: Data Analysis- Data Science & Data Protection field. Courses Included in the Program You get 25 in-demand courses once you enrol in our IT: Data Analysis, Data Science & Data Protection program. * => Course 01: Introduction to Data Analysis * => Course 02: Data Analytics * => Course 03: Python for Data Analysis * => Course 04: Basic Google Data Studio * => Course 05: Business Intelligence and Data Mining Masterclass * => Course 06: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query * => Course 07: SQL Programming Masterclass * => Course 08: SQL NoSQL Big Data and Hadoop * => Course 09: Data Science & Machine Learning with Python * => Course 10: Machine Learning with Python * => Course 11: Data Science & Machine Learning with R * => Course 12: Data Analytics with Tableau * => Course 13: Develop Big Data Pipelines with R & Sparklyr & Tableau * => Course 14: Complete Introduction to Business Data Analysis Level 3 * => Course 15: Data Analysis in Microsoft Excel Complete Training * => Course 16: Excel Data Analysis for Beginner * => Course 17: GDPR Data Protection Level 5 * => Course 18: Master JavaScript with Data Visualization * => Course 19: Data Visualization and Reporting with Power BI * => Course 20: Statistics & Probability for Data Science & Machine Learning * => Course 21: Career Development Plan Fundamentals * => Course 22: CV Writing and Job Searching * => Course 23: Interview Skills: Ace the Interview * => Course 24: Video Job Interview for Job Seekers * => Course 25: How to Create a Professional LinkedIn Profile Enrol in our highly regarded IT: Data Analysis, Data Science & Data Protection program, featuring a job-relevant curriculum that ensures your skills align with employer expectations across various sectors. Don't miss this opportunity - your success story starts now! Our IT: Data Analysis, Data Science & Data Protection Program is a comprehensive and industry-relevant journey through data analysis, data science, and IT analytics. With a focus on providing theoretical knowledge and academic depth, this program is your gateway to a promising career in IT: Data Analysis, Data Science & Data Protection sector. Why Choose Us? We take great pride in offering you a great learning experience that stands out. When you consider enrolling in our IT: Data Analysis, Data Science & Data Protection program, you're making a decision that will positively impact your career and knowledge in various aspects related to IT: Data Analysis, Data Science & Data Protection. Here's why choosing us is a smart choice: Updated Materials: We're committed to providing the most up-to-date learning materials. Our dedicated team continuously reviews and updates our content, ensuring you're always learning from the latest sources. When you choose us, you select the most current and relevant information, giving you the edge in your IT career. Flexible Timing: We understand that life can get busy, and you may have existing commitments that can make pursuing further education challenging. That's why we offer flexibility in your study schedule. With our courses, you can learn at your own pace, on your terms. You're in control and can adjust your learning to fit your life. No Hidden Cost: When choosing our program, you won't incur additional expenses. The certification and course materials are all-inclusive within the program's price. You can focus on your studies without worrying about hidden fees. Money-Back Guarantee: Your satisfaction is our top priority. We're so confident in the quality of our courses that we back them up with a 14-day money-back guarantee. We'll refund your investment if you're unsatisfied with your learning experience. Lifetime Access: When you choose to learn with us, you gain access to a course and a lifetime of knowledge. We offer lifetime access to our course materials, allowing you to revisit and refresh your knowledge whenever you need. 24/7 Support: Learning doesn't just happen during traditional working hours; neither should support. Our commitment to your success extends beyond the classroom. We provide 24/7 support, so you can contact us with your questions and concerns anytime. CPD 250 CPD hours / points Accredited by CPD Quality Standards WHO IS THIS COURSE FOR? This IT: Data Analysis, Data Science & Data Protection program is suitable for: * Aspiring IT: Data Analysis, Data Science & Data Protection professionals. * Students and recent graduates looking to enter the field. * Career changers interested in data analytics. * Security professionals seeking to upskill in data security. * Anyone interested in learning about IT: Data Analysis, Data Science & Data Protection. REQUIREMENTS No prior experience is required in our IT: Data Analysis, Data Science & Data Protection program. CAREER PATH Upon completing the program, you'll get edges in various IT: Data Analysis, data science & data protection-related jobs including: * Data Analyst: £25,000 - £45,000 * Business Intelligence Analyst: £30,000 - £50,000 * Data Scientist: £35,000 - £60,000 * Machine Learning Engineer: £40,000 - £70,000 * SQL Developer: £30,000 - £55,000 * Tableau Developer: £35,000 - £60,000 * Power BI Developer: £35,000 - £60,000 CERTIFICATES CPD ACCREDITED (E-CERTIFICATE) Digital certificate - Included CPD ACCREDITED (HARD COPY CERTIFICATE) Hard copy certificate - Included E-TRANSCRIPT Digital certificate - Included HARD COPY TRANSCRIPT Hard copy certificate - Included STUDENT ID CARD Digital certificate - Included

This course covers all the requirements of the Microsoft AZ-300 and AZ-303 exams. You will get a detail-oriented approach to all the important concepts that will help you pass the exams and design solutions for the Microsoft Azure platform.

In this course, we will process massive streams of real-time data using Spark Streaming and create Spark applications using the Scala programming language (v2.12). We will also get our hands-on with some real live Twitter data, simulated streams of Apache access logs, and even data used to train machine learning models.

OVERVIEW This comprehensive course on Building Big Data Pipelines with PySpark MongoDB and Bokeh will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Building Big Data Pipelines with PySpark MongoDB and Bokeh 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 Building Big Data Pipelines with PySpark MongoDB and Bokeh. It is available to all students, of all academic backgrounds. REQUIREMENTS Our Building Big Data Pipelines with PySpark MongoDB and Bokeh 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 7 sections • 25 lectures • 05:04:00 total length •Introduction: 00:10:00 •Python Installation: 00:03:00 •Installing Third Party Libraries: 00:03:00 •Installing Apache Spark: 00:12:00 •Installing Java (Optional): 00:05:00 •Testing Apache Spark Installation: 00:06:00 •Installing MongoDB: 00:04:00 •Installing NoSQL Booster for MongoDB: 00:07:00 •Integrating PySpark with Jupyter Notebook: 00:05:00 •Data Extraction: 00:19:00 •Data Transformation: 00:15:00 •Loading Data into MongoDB: 00:13:00 •Data Pre-processing: 00:19:00 •Building the Predictive Model: 00:12:00 •Creating the Prediction Dataset: 00:08:00 •Loading the Data Sources from MongoDB: 00:17:00 •Creating a Map Plot: 00:33:00 •Creating a Bar Chart: 00:09:00 •Creating a Magnitude Plot: 00:15:00 •Creating a Grid Plot: 00:09:00 •Installing Visual Studio Code: 00:05:00 •Creating the PySpark ETL Script: 00:24:00 •Creating the Machine Learning Script: 00:30:00 •Creating the Dashboard Server: 00:21:00 •Source Code and Notebook: 00:00:00

Embark on a transformative journey into the realm of cutting-edge development with our course, 'Master Spring Boot 3.0 and MongoDB.' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities. In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery. Learning Outcomes * Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods. * Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems. * Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions. * Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications. * Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases. WHY CHOOSE THIS MASTER SPRING BOOT 3.0 AND MONGODB COURSE? 1. Unlimited access to the course for a lifetime. 2. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. 3. Structured lesson planning in line with industry standards. 4. Immerse yourself in innovative and captivating course materials and activities. 5. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. 6. Flexibility to complete the Course at your own pace, on your own schedule. 7. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. 8. Unlock career resources for CV improvement, interview readiness, and job success. WHO IS THIS MASTER SPRING BOOT 3.0 AND MONGODB COURSE FOR? * Aspiring developers keen on mastering the Spring Boot-MongoDB synergy. * Software engineers looking to deepen their understanding of advanced database operations. * Students and coding enthusiasts eager to explore the latest tools in the development landscape. * Professionals seeking to upgrade their skill set in line with industry demands. * Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up. CAREER PATH * MongoDB Developer: £40,000 - £60,000 * Spring Boot Engineer: £45,000 - £70,000 * Database Architect: £55,000 - £80,000 * Full Stack Developer: £50,000 - £75,000 * Java Developer (Specializing in Spring Boot): £45,000 - £65,000 * API Integration Specialist: £50,000 - £70,000 PREREQUISITES This Master Spring boot 3.0 and MongoDB does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Master Spring boot 3.0 and MongoDB was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. CERTIFICATION After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. COURSE CURRICULUM Section 01: Introduction What is MongoDB 00:02:00 The Difference Between SQL and NoSQL 00:03:00 How to Choose Between SQL and NoSQL 00:04:00 Section 02: Prepare The Mongo Environment MongoDB UI Tools 00:01:00 Why Use Docker for Development 00:01:00 Create an Empty Docker Compose File 00:02:00 Mongo Server (Docker Compose) 00:04:00 Mongo Express (Docker Compose) 00:03:00 Run and Test 00:03:00 Section 03: Mongo Terms Collections and Documents in Mongo 00:03:00 Section 04: Bootstrapping The Application Create a New Spring Boot 3.0 Project 00:04:00 Project Structure 00:02:00 Include the Docker Compose with the Project and Run It 00:04:00 Project Architecture 00:03:00 Connect to MongoDB 00:03:00 Create a New Database 00:01:00 Understand Admin - Local and Config Databases 00:05:00 Create a Java Class 00:04:00 Transform the Java Class into a Collection 00:02:00 Create a Mongo Repository 00:02:00 Insert the First Data into the Collection 00:06:00 Create a Product Service 00:04:00 Save the product 00:03:00 Find Product by ID 00:01:00 Find All Products 00:01:00 Delete Product 00:01:00 Section 05: CRUD Operations Create Product Controller 00:02:00 Save Product Operation 00:02:00 Find All Products 00:01:00 Find Product by ID 00:01:00 Delete Product 00:02:00 Test the CRUD Operations 00:06:00 Section 06: DBRef And Collections Relationships Extend the Product Model 00:02:00 Create Category Java Class 00:02:00 User Category as a Field 00:03:00 Relationship between Category and Product 00:01:00 Transform the Category to a Collection 00:01:00 Create a Category Repository 00:01:00 Insert Categories at Startup 00:02:00 The Issue in Linking Collections 00:03:00 Add Relationship Between Collections 00:04:00 Section 07: OpenApi Integration Add OpenApi Dependency 00:02:00 Test and Play with Swagger UI 00:06:00 Section 08: Documents Queries And Mongo Template Extend the Product Model 00:02:00 Create a Search Service 00:01:00 What is MongoTemplate 00:02:00 Is() Query 00:07:00 Testing the Is() Query 00:02:00 Regex() Query 00:06:00 Lt() Query 00:03:00 Gt() Query 00:02:00 Sorting Data 00:05:00 Paging and Sorting 00:06:00 Section 09: Query Methods Create a Query Method Service 00:03:00 FindByX Query 00:06:00 FinByX Ignore Case Query 00:02:00 FinByX starting with query 00:03:00 FinByX ending with query 00:02:00 FinByX containing query 00:04:00 FinByX less than 00:02:00 FinByX greater than 00:01:00 FinByX between 00:02:00 FinByX and SortByY 00:04:00 Paging and Sorting 00:07:00

Explore offline-first app development with Angular, Ionic, PouchDB, and CouchDB. Sync data effortlessly, design for web and mobile, and deploy with ease for a seamless user experience. Learn data synchronization, advanced features such as RxJS and custom pipes, implement state machines with XState, and build scalable, multi-platform web apps.