86 NoSQL courses

This course covers all the key concepts that will help you prepare for and pass the AWS Certified Cloud Practitioner certification exam for the latest CLF-C01. A practical-based course where you will gain practical knowledge about AWS Cloud through videos and demo sessions.

OVERVIEW By enroling in Big Data Analytics with PySpark Power BI and MongoDB, you can kickstart your vibrant career and strengthen your profound knowledge. You can learn everything you need to know about the topic. The Big Data Analytics with PySpark Power BI and MongoDB course includes all of the most recent information to keep you abreast of the employment market and prepare you for your future. The curriculum for this excellent Big Data Analytics with PySpark Power BI and MongoDB course includes modules at all skill levels, from beginner to expert. You will have the productivity necessary to succeed in your organisation once you have completed our Big Data Analytics with PySpark Power BI and MongoDB Program. So enrol in our Big Data Analytics with PySpark Power BI and MongoDB course right away if you're keen to envision yourself in a rewarding career. DESCRIPTION Enroling in this Big Data Analytics with PySpark Power BI and MongoDB course can improve your Big Data Analytics with PySpark Power BI and MongoDB perspective, regardless of your skill levels in the Big Data Analytics with PySpark Power BI and MongoDB topics you want to master. If you're already a Big Data Analytics with PySpark Power BI and MongoDB expert, this peek under the hood will provide you with suggestions for accelerating your learning, including advanced Big Data Analytics with PySpark Power BI and MongoDB insights that will help you make the most of your time. This Big Data Analytics with PySpark Power BI and MongoDB course will act as a guide for you if you've ever wished to excel at Big Data Analytics with PySpark Power BI and MongoDB. WHY CHOOSE US? * This course is accredited by the CPD Quality Standards. * Lifetime access to the whole collection of the learning materials. * Online test with immediate results. * Enroling in the course has no additional cost. * You can study and complete the course at your own pace. * Study for the course using any internet-connected device, such as a computer, tablet, or mobile device. CERTIFICATE OF ACHIEVEMENT Upon successful completion, you will qualify for the UK and internationally-recognised CPD certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £4.99 and Hardcopy Certificate for £9.99. WHO IS THIS COURSE FOR? This Big Data Analytics with PySpark Power BI and MongoDB course is a great place to start if you're looking to start a new career in Big Data Analytics with PySpark Power BI and MongoDB field. This training is for anyone interested in gaining in-demand Big Data Analytics with PySpark Power BI and MongoDB proficiency to help launch a career or their business aptitude.  REQUIREMENTS The Big Data Analytics with PySpark Power BI and MongoDB course requires no prior degree or experience. All you require is English proficiency, numeracy literacy and a gadget with stable internet connection. Learn and train for a prosperous career in the thriving and fast-growing industry of Big Data Analytics with PySpark Power BI and MongoDB, without any fuss. CAREER PATH This Big Data Analytics with PySpark Power BI and MongoDB training will assist you develop your Big Data Analytics with PySpark Power BI and MongoDB ability, establish a personal brand, and present a portfolio of relevant talents. It will help you articulate a  Big Data Analytics with PySpark Power BI and MongoDB professional story and personalise your path to a new career. Furthermore, developing this Big Data Analytics with PySpark Power BI and MongoDB skillset can lead to numerous opportunities for high-paying jobs in a variety of fields. ORDER YOUR CERTIFICATE To order CPD Quality Standard Certificate, we kindly invite you to visit the following link: COURSE CURRICULUM Section 01: Introduction Introduction 00:10:00 Section 02: Setup And Installations Python Installation 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 Section 03: Data Processing With PySpark And MongoDB 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 Section 04: Machine Learning With PySpark And MLlib Data Pre-processing 00:19:00 Building the Predictive Model 00:12:00 Creating the Prediction Dataset 00:08:00 Section 05: Creating The Data Pipeline Scripts Installing Visual Studio Code 00:03:00 Creating the PySpark ETL Script 00:22:00 Creating the Machine Learning Script 00:24:00 Section 06: Tableau Data Visualization Installing Tableau 00:03:00 Installing MongoDB ODBC Drivers 00:03:00 Creating a System DSN for MongoDB 00:04:00 Loading the Data Sources 00:04:00 Creating a Geo Map 00:11:00 Creating a Bar Chart 00:03:00 Creating a Table Plot 00:06:00 Creating a Dashboard 00:07:00 Order Your Certificate Order Your Certificate 00:00:00

Duration 3.5 Days 21 CPD hours This course is intended for This course is for AWS Cloud Architects with expertise in designing and implementing solutions running on AWS who now want to design for Microsoft Azure. Overview After completing this course, students will be able to: Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects who have previously designed for Amazon Web Services how to translate business requirements into secure, scalable, and reliable solutions for Azure. INTRODUCTION TO AZURE * Subscriptions and accounts * Resource groups and templates in Azure Resource Manager AZURE GLOBAL INFRASTRUCTURE * Azure regions * Azure Availability Zones * Comparison with AWS IMPLEMENT AZURE ACTIVE DIRECTORY * Introduction to Azure Active Directory * Domains and custom domains * Safety features * Guest users in Azure Active Directory * Manage multiple directories * Comparison with AWS IMPLEMENT AND MANAGE HYBRID IDENTITIES * Introduction to Azure AD Connect * Comparison with AWS IMPLEMENT VIRTUAL NETWORKING * Azure Virtual Network and VNet peering * VPN and ExpressRoute connections * Comparison with AWS IMPLEMENT VMS FOR WINDOWS AND LINUX * Configure high availability * Comparison with AWS IMPLEMENT LOAD BALANCING AND NETWORK SECURITY * Implement Azure Load Balancer * Implement an Azure Application Gateway * Implement Azure Firewall * Implement network security groups and application security groups * Comparison with AWS IMPLEMENT CONTAINER-BASED APPLICATIONS * Configure Azure Kubernetes Service * Publish a solution on an Azure Container Instance * Comparison with AWS IMPLEMENT AN APPLICATION INFRASTRUCTURE * Create an App Service plan * Create and configure Azure App Service * Configure networking for an App Service * Introduction to Logic Apps and Azure Functions * Comparison with AWS IMPLEMENT STORAGE ACCOUNTS * Azure Storage core concepts * Managing the Azure Blob storage lifecycle * Working with Azure Blob storage * Comparison with AWS IMPLEMENT NOSQL DATABASES * Introduction to Azure Cosmos DB * Consistency * Select appropriate CosmosDB APIs * Set up replicas in CosmosDB * Comparison with AWS DynamoDB IMPLEMENT AZURE SQL DATABASES * Configure Azure SQL database settings * Implement Azure SQL Database managed instances * Configure high availability for an Azure SQL database * Comparison with AWS IMPLEMENT CLOUD INFRASTRUCTURE MONITORING * Monitor security * Monitor cost * Configure a Log Analytics workspace * Comparison with AWS IMPLEMENT AND MANAGE AZURE GOVERNANCE SOLUTIONS * Assign RBAC roles * Configure management access to Azure * Implement and configure an Azure Policy * Comparison with AWS MANAGE SECURITY FOR APPLICATIONS * Implement Azure Key Vault * Implement and configure Azure AD Managed Identities * Register and manage applications in Azure AD * Comparison with AWS MIGRATION, BACKUP, AND DISASTER RECOVERY MANAGEMENT * Migrate workloads * Implement Azure Backup for VMs * Implement disaster recovery * Comparison with AWS

Duration 5 Days 30 CPD hours This course is intended for This course is for IT Professionals with expertise in designing and implementing solutions running on Microsoft Azure. They should have broad knowledge of IT operations, including networking, virtualization, identity, security, business continuity, disaster recovery, data platform, budgeting, and governance. Azure Solution Architects use the Azure Portal and as they become more adept they use the Command Line Interface. Candidates must have expert-level skills in Azure administration and have experience with Azure development processes and DevOps processes. Overview Secure identities with Azure Active Directory and users and groups. Implement identity solutions spanning on-premises and cloud-based capabilities Apply monitoring solutions for collecting, combining, and analyzing data from different sources. Manage subscriptions, accounts, Azure policies, and Role-Based Access Control. Administer Azure using the Resource Manager, Azure portal, Cloud Shell, and CLI. Configure intersite connectivity solutions like VNet Peering, and virtual network gateways. Administer Azure App Service, Azure Container Instances, and Kubernetes. This course teaches Solutions Architects how to translate business requirements into secure, scalable, and reliable solutions. Lessons include virtualization, automation, networking, storage, identity, security, data platform, and application infrastructure. This course outlines how decisions in each theses area affects an overall solution. IMPLEMENT AZURE ACTIVE DIRECTORY * Overview of Azure Active Directory * Users and Groups * Domains and Custom Domains * Azure AD Identity Protection * Implement Conditional Access * Configure Fraud Alerts for MFA * Implement Bypass Options * Configure Guest Users in Azure AD * Configure Trusted IPs * Manage Multiple Directories IMPLEMENT AND MANAGE HYBRID IDENTITIES * Install and Configure Azure AD Connect * Configure Password Sync and Password Writeback * Configure Azure AD Connect Health IMPLEMENT VIRTUAL NETWORKING * Virtual Network Peering * Implement VNet Peering IMPLEMENT VMS FOR WINDOWS AND LINUX * Select Virtual Machine Size * Configure High Availability * Implement Azure Dedicated Hosts * Deploy and Configure Scale Sets * Configure Azure Disk Encryption IMPLEMENT LOAD BALANCING AND NETWORK SECURITY * Implement Azure Load Balancer * Implement an Application Gateway * Understand Web Application Firewall * Implement Azure Firewall * Implement Azure Front Door * Implementing Azure Traffic Manager IMPLEMENT STORAGE ACCOUNTS * Storage Accounts * Blob Storage * Storage Security * Managing Storage * Accessing Blobs and Queues using AAD IMPLEMENT NOSQL DATABASES * Configure Storage Account Tables * Select Appropriate CosmosDB APIs IMPLEMENT AZURE SQL DATABASES * Configure Azure SQL Database Settings * Implement Azure SQL Database Managed Instances * High-Availability and Azure SQL Database * In this module, you will learn how to * Create an Azure SQL Database (single database) * Create an Azure SQL Database Managed Instance * Recommend high-availability architectural models used in Azure SQL Database AUTOMATE DEPLOYMENT AND CONFIGURATION OF RESOURCES * Azure Resource Manager Templates * Save a Template for a VM * Evaluate Location of New Resources * Configure a Virtual Hard Disk Template * Deploy from a template * Create and Execute an Automation Runbook IMPLEMENT AND MANAGE AZURE GOVERNANCE * Create Management Groups, Subscriptions, and Resource Groups * Overview of Role-Based Access Control (RBAC) * Role-Based Access Control (RBAC) Roles * Azure AD Access Reviews * Implement and Configure an Azure Policy * Azure Blueprints MANAGE SECURITY FOR APPLICATIONS * Azure Key Vault * Azure Managed Identity MANAGE WORKLOADS IN AZURE * Migrate Workloads using Azure Migrate * VMware - Agentless Migration * VMware - Agent-Based Migration * Implement Azure Backup * Azure to Azure Site Recovery * Implement Azure Update Management IMPLEMENT CONTAINER-BASED APPLICATIONS * Azure Container Instances * Configure Azure Kubernetes Service IMPLEMENT AN APPLICATION INFRASTRUCTURE * Create and Configure Azure App Service * Create an App Service Web App for Containers * Create and Configure an App Service Plan * Configure Networking for an App Service * Create and Manage Deployment Slots * Implement Logic Apps * Implement Azure Functions IMPLEMENT CLOUD INFRASTRUCTURE MONITORING * Azure Infrastructure Security Monitoring * Azure Monitor * Azure Workbooks * Azure Alerts * Log Analytics * Network Watcher * Azure Service Health * Monitor Azure Costs * Azure Application Insights * Unified Monitoring in Azure

Duration 2 Days 12 CPD hours This course is intended for Cloud Solutions Architects, Site Reliability Engineers, Systems Operations professionals, DevOps Engineers, IT managers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform. Overview Apply a tool set of questions, techniques and design considerations Define application requirements and express them objectively as KPIs, SLO's and SLI's Decompose application requirements to find the right microservice boundaries Leverage Google Cloud developer tools to set up modern, automated deployment pipelines Choose the appropriate Google Cloud Storage services based on application requirements Architect cloud and hybrid networks Implement reliable, scalable, resilient applications balancing key performance metrics with cost Choose the right Google Cloud deployment services for your applications Secure cloud applications, data and infrastructure Monitor service level objectives and costs using Stackdriver tools This course features a combination of lectures, design activities, and hands-on labs to show you how to use proven design patterns on Google Cloud to build highly reliable and efficient solutions and operate deployments that are highly available and cost-effective. This course was created for those who have already completed the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine course. DEFINING THE SERVICE * Describe users in terms of roles and personas. * Write qualitative requirements with user stories. * Write quantitative requirements using key performance indicators (KPIs). * Evaluate KPIs using SLOs and SLIs. * Determine the quality of application requirements using SMART criteria. MICROSERVICE DESIGN AND ARCHITECTURE * Decompose monolithic applications into microservices. * Recognize appropriate microservice boundaries. * Architect stateful and stateless services to optimize scalability and reliability. * Implement services using 12-factor best practices. * Build loosely coupled services by implementing a well-designed REST architecture. * Design consistent, standard RESTful service APIs. DEVOPS AUTOMATION * Automate service deployment using CI/CD pipelines. * Leverage Cloud Source Repositories for source and version control. * Automate builds with Cloud Build and build triggers. * Manage container images with Google Container Registry. * Create infrastructure with code using Deployment Manager and Terraform. CHOOSING STORAGE SOLUTIONS * Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost. * Store binary data with Cloud Storage. * Store relational data using Cloud SQL and Spanner. * Store NoSQL data using Firestore and Cloud Bigtable. * Cache data for fast access using Memorystore. * Build a data warehouse using BigQuery. GOOGLE CLOUD AND HYBRID NETWORK ARCHITECTURE * Design VPC networks to optimize for cost, security, and performance. * Configure global and regional load balancers to provide access to services. * Leverage Cloud CDN to provide lower latency and decrease network egress. * Evaluate network architecture using the Cloud Network Intelligence Center. * Connect networks using peering and VPNs. * Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect. DEPLOYING APPLICATIONS TO GOOGLE CLOUD * Choose the appropriate Google Cloud deployment service for your applications. * Configure scalable, resilient infrastructure using Instance Templates and Groups. * Orchestrate microservice deployments using Kubernetes and GKE. * Leverage App Engine for a completely automated platform as a service (PaaS). * Create serverless applications using Cloud Functions. DESIGNING RELIABLE SYSTEMS * Design services to meet requirements for availability, durability, and scalability. * Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures. * Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns. * Design resilient data storage with lazy deletion. * Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis. SECURITY * Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits. * Leverage Cloud Security Command Center to help identify vulnerabilities. * Simplify cloud governance using organizational policies and folders. * Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform. * Manage the access and authorization of resources by machines and processes using service accounts. * Secure networks with private IPs, firewalls, and Private Google Access. * Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor. MAINTENANCE AND MONITORING * Manage new service versions using rolling updates, blue/green deployments, and canary releases. * Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data. * Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards. * Use Uptime Checks to determine service availability. * Respond to service outages using Cloud Monitoring Alerts. ADDITIONAL COURSE DETAILS: Nexus Humans Architecting with Google Cloud: Design and Process 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 Architecting with Google Cloud: Design and Process 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.

Duration 3 Days 18 CPD hours Overview The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to: Understand the Big Data needs that C* addresses Be familiar with the operation and structure of C* Be able to install and set up a C* database Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager) Be familiar with the C* architecture, and how a C* cluster is structured Understand how data is distributed and replicated in a C* cluster Understand core C* data modeling concepts, and use them to create well-structured data models Be familiar with the C* eventual consistency model and use it intelligently Be familiar with consistency mechanisms such as read repair and hinted handoff Understand and use CQL to create tables and query for data Know and use the CQL data types (numerical, textual, uuid, etc.) Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys) Be familiar with the C* write and read paths Understand C* deletion and compaction The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra. SESSION 1: CASSANDRA OVERVIEW * Why We Need Cassandra - Big Data Challenges vs RDBMS * High level Cassandra Overview * Cassandra Features * Optional: Basic Cassandra Installation and Configuration SESSION 2: CASSANDRA ARCHITECTURE AND CQL OVERVIEW * Cassandra Architecture Overview * Cassandra Clusters and Rings * Nodes and Virtual Nodes * Data Replication in Cassandra * Introduction to CQL * Defining Tables with a Single Primary Key * Using cqlsh for Interactive Querying * Selecting and Inserting/Upserting Data with CQL * Data Replication and Distribution * Basic Data Types (including uuid, timeuuid) SESSION 3: DATA MODELING AND CQL CORE CONCEPTS * Defining a Compound Primary Key * CQL for Compound Primary Keys * Partition Keys and Data Distribution * Clustering Columns * Overview of Internal Data Organization * Overview of Other Querying Capabilities * ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING * Batch Queries * Data Modeling Guidelines * Denormalization * Data Modeling Workflow * Data Modeling Principles * Primary Key Considerations * Composite Partition Keys * Defining with CQL * Data Distribution with Composite Partition Key * Overview of Internal Data Organization SESSION 4: ADDITIONAL CQL CAPABILITIES * Indexing * Primary/Partition Keys and Pagination with token() * Secondary Indexes and Usage Guidelines * Cassandra collections * Collection Structure and Uses * Defining and Querying Collections (set, list, and map) * Materialized View * Overview * Usage Guidelines SESSION 5: DATA CONSISTENCY IN CASSANDRA * Overview of Consistency in Cassandra * CAP Theorem * Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL * Choosing CL ONE * Choosing CL QUORUM * Achieving Immediate Consistency * Overview of Other Consistency Levels * Supportive Consistency Mechanisms * Writing / Hinted Handoff * Read Repair * Nodetool repair SESSION 6: INTERNAL MECHANISMS * Ring Details * Partitioners * Gossip Protocol * Snitches * Write Path * Overview / Commit Log * Memtables and SSTables * Write Failure * Unavailable Nodes and Node Failure * Requirements for Write Operations * Read Path Overview * Read Mechanism * Replication and Caching * Deletion/Compaction Overview * Delete Mechanism * Tombstones and Compaction SESSION 7: WORKING WITH INTELLIJ * Configuring JDBC Data Source for Cassandra * Reading Schema Information * Querying and Editing Tables. ADDITIONAL COURSE DETAILS: Nexus Humans Introduction to Cassandra (TTDS6776) 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 Cassandra (TTDS6776) 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.

Imagine yourself being an expert in information management when the entire world is drowning in data. Indeed, it will give you an edge in multiple industries if you can gain concrete skills in this field. This information management course has been designed to equip you with all the basic knowledge to start your pathway to becoming an industry leader in the data sector. Picture the first module as your grand entry into the world of data. Here, you will be introduced to the fundamentals terminology. Plus, you will also get insights into how data is critical to business growth.  The second module 2 of this course will teach you about the strategies for managing information. Understanding this module will help you sync information and manage goals with the organisation's primary mission. Plus, you will learn strategic planning, creating a roadmap of data to action, and data governance.  In module 3, you will explore database systems, design, and data storage. Here, you will also have an idea about the NoSQL databases. Module 5 sheds light on auditing information systems. It will help you determine the tools and techniques to evaluate data reliability. Here, you will learn audit principles, planning, risk assessment, and procedures.  The final module of this course focuses on ethical considerations related to data management. The key concepts you will learn here are ethical framework, data privacy laws, data ethics, and data protection strategies. At the end of this module, you can ensure responsible data handling and robust data protection management. Enrol in this top-notch information systems management course to secure yourself in a job market with an average salary of £39,000 per year in the UK. LEARNING OUTCOME * Gain proficiency in analysing and interpreting data for decision-making * Build a strategic mindset to prepare an excellent information strategy * Acquire skills to ensure efficient data storage plus retrieval * Ability to use MIS to assist managerial decision-making * Develop auditing skills to ensure compliance, security, data integrity * Have a clear understanding of ethical awareness related to data CAREER PATH * Data Analyst * Information Security Specialist * Database Administrator * IT Project Manager * Chief Information Officer  * Business intelligence analyst COURSE CURRICULUM Module 01: Introduction to Information Management Introduction to Information Management 00:32:00 Module 02: Information Management Strategy Information Management Strategy 00:17:00 Module 03: Databases and Information Management Databases and Information Management 00:29:00 Module 04: Management Information Systems (MIS) Management Information Systems (MIS) 00:16:00 Module 05: Auditing Information Systems Auditing Information Systems 00:16:00 Module 06: Ethical and Social Issues and Data Protection Ethical and Social Issues and Data Protection 00:27:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

DESCRIPTION Register on the AWS Certified Database Specialty Exam Preparation (DBS-C01) 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 certificate as proof of your course completion. The AWS Certified Database Specialty Exam Preparation (DBS-C01) course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, 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 THIS COURSE * Receive a digital 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) CERTIFICATE OF ACHIEVEMENT After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  METHOD OF ASSESSMENT You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. WHO IS THIS COURSE FOR The course is ideal for those who already work in this sector or are aspiring professionals. 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.   COURSE CONTENT Section 01: Introducing Databases Introduction 00:03:00 AWS Database - Specialty Recommended Knowledge 00:04:00 Databases Defined 00:05:00 Relational Databases 00:08:00 Database Management System (DBMS) 00:09:00 Cloud-Based vs. Local Databases 00:07:00 Database Applications 00:07:00 Database Access Languages 00:05:00 Introducing SQL 00:09:00 Reading Data with SQL 00:09:00 Writing Data with SQL 00:06:00 Working with Database Objects 00:07:00 Section 02: Database Services AWS Database Services 00:05:00 Relational Databases (Aurora, Redshift, RDS) 00:10:00 Key-Value (NoSQL) Databases (DynamoDB) 00:07:00 In-Memory Databases (ElastiCache) 00:06:00 Document Databases (Document DB) 00:06:00 Graph Databases (Neptune) 00:04:00 Time Series Databases (Timestream) 00:03:00 Ledger Databases (QLDB) 00:03:00 Instance-Based Database Servers 00:06:00 Access Control and Authentication 00:07:00 Section 03: Database Design Designing Databases 00:07:00 Using an ERD Tool 00:09:00 Designing Database Solutions 00:07:00 Designing for Performance 00:08:00 Designing for Scalability 00:07:00 Designing for Compliance 00:06:00 Planning for Recovery 00:06:00 Planning for High Availability 00:07:00 Planning for Encryption 00:06:00 Section 04: Database Deployment Creating RDS Databases 00:11:00 Connecting to an RDS Database (MySQL Workbench) 00:06:00 Creating DynamoDB Databases 00:07:00 Creating RedShift Databases 00:07:00 Creating DocumentDB Databases 00:07:00 Creating Instance-Based Databases 00:04:00 Creating Databases from the CLI 00:07:00 Automation of Database Creation 00:09:00 Orchestration of Database Creation 00:09:00 Section 05: Database Migration Migration Strategies 00:09:00 Preparing Data for Migration 00:06:00 Preparing the Cloud to Receive Data 00:07:00 Executing Data Migration 00:08:00 Validating Data Migration 00:05:00 Migrating using DMS 00:11:00 Section 06: Managing Databases General Maintenance Processes 00:07:00 Specific Maintenance Tasks 00:08:00 Backup and Restore Strategies 00:06:00 Performing an Unmanaged Database Backup 00:07:00 Performing a Managed Database Backup 00:05:00 Performing a Restoration 00:05:00 Section 07: Managing Database Services Managing RDS 00:08:00 Managing DynamoDB 00:04:00 Managing Redshift 00:05:00 Managing Other Databases 00:06:00 General Operational Environment Management 00:07:00 Section 08: Monitoring Database Solutions Introduction to Monitoring 00:06:00 AWS Alert Services 00:07:00 Using CloudWatch 00:08:00 Using Third-Party Monitoring Tools 00:06:00 Auditing through Monitoring 00:03:00 Special Security Auditing Tools 00:08:00 Improving Database Performance 00:07:00 Section 09: Troubleshooting Database Solutions Data Access Issues 00:09:00 Database Availability Issues 00:08:00 Database Performance Issues 00:06:00 Data Corruption Issues 00:05:00 Database Size Issues 00:06:00 Security Issues 00:08:00 General Troubleshooting Best Practices 00:07:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 FREQUENTLY ASKED QUESTIONS Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

This is a comprehensive and practical Apache Spark course. In this course, you will learn and master the art of framing data analysis problems as Spark problems through 20+ hands-on examples, and then scale them up to run on cloud computing services. Explore Spark 3, IntelliJ, Structured Streaming, and a stronger focus on the DataSet API.

Are you interested in learning and deploying applications at scale using Google Cloud platform? Do you lack hands-on exposure when it comes to deploying applications and seeing them in action? Then this course is for you. You will also learn microservices and event-driven architectures with real-world use case implementations.