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.
The aim of the course Bonds Analysis and Valuation is to provide students with the skills and knowledge necessary to analyze and value fixed-income securities. Through this course, students will learn how to evaluate bond characteristics, assess risks, and determine fair value, which are essential skills for a career in finance or investment management.After the successful completion of the course, you will be able to learn about the following, Understand the nature of Bonds and Bond Yields. Understand the process and techniques of Bond Valuation. Understand What are derivatives and their types. The course Bonds Analysis and Valuation is designed to provide students with an in-depth understanding of fixed-income securities. Through this course, students will learn about different types of bonds, bond pricing, yield curves, and interest rate risk. Additionally, students will develop skills in financial modeling and analysis, which are essential for careers in investment management, banking, and corporate finance. The course Bonds Analysis and Valuation is designed to provide students with an in-depth understanding of fixed income securities. Through this course, students will learn about different types of bonds, bond pricing, yield curves, and interest rate risk. Additionally, students will develop skills in financial modeling and analysis, which are essential for careers in investment management, banking, and corporate finance. 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. Bonds Analysis and Valuation Self-paced pre-recorded learning content on this topic. Bonds Analysis and Valuation 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 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 eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. CEO, Director, Manager, Supervisor Fixed Income Analyst Bond Trader Portfolio Manager Credit Risk Analyst Investment Banker Quantitative Analyst Credit Research Analyst Treasury Analyst Asset Management Associate Financial 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.
Description Fundamentals of Mechatronics Diploma The Fundamentals of Mechatronics Diploma is a comprehensive online course tailored for those looking to gain in-depth knowledge about the intersection of mechanical engineering, electronics, computer intelligence, and control engineering. As the world continues its rapid advance towards automation and sophisticated systems integration, mechatronics stands as one of the forefronts of this revolution. This diploma not only provides a solid foundation in mechatronics but also equips learners with the practical skills required to design and develop advanced mechatronic systems. Starting with an Introduction to Mechatronics, the course paves the way for learners by outlining the core concepts and principles that underpin this multidisciplinary field. As you progress, you'll explore the Elements and Components of Mechatronic Systems, understanding the intricacies of the systems that form the backbone of modern automation and robotics. A significant part of the Fundamentals of Mechatronics Diploma is dedicated to the Modeling and Simulation of Mechatronic Systems. This module aids students in visualising and predicting how different systems will interact and behave. This is crucial for anyone looking to design or troubleshoot complex mechatronic systems. Interfacing and Signal Conditioning for Mechatronics follow, highlighting the importance of seamless communication between various mechatronic components. Here, you'll learn how to ensure the proper transmission and reception of signals, ensuring optimal system performance. Errors can be costly, especially in precision-driven mechatronic systems. That's why the course covers Error Analysis and Instrumentation for Mechatronics, giving you the tools and knowledge to spot inaccuracies and calibrate systems accordingly. Next up, the Sensors and Actuators in Mechatronics section dives into the components that serve as the eyes, ears, and limbs of these systems. Grasp how these elements detect environmental changes and respond accordingly, playing a pivotal role in the system's overall functionality. Every mechatronic system relies on some form of digital backbone. With the Digital Hardware and Microcontrollers in Mechatronics section, understand the role of these digital brains in controlling and overseeing the system's operations. As the course progresses to Control Systems for Mechatronics, students learn about the algorithms and mechanisms that keep these complex systems in check. This understanding ensures mechatronic designs function as intended, with precision and reliability. The Mechatronic System Design and Development segment ties everything together, allowing learners to apply their accumulated knowledge in real-world scenarios, crafting systems that are both innovative and functional. To wrap it all up, the Emerging Trends in Mechatronics module offers a glimpse into the future. Stay abreast of the latest developments and innovations, ensuring you remain a relevant and informed professional in the field. Enrolling in the Fundamentals of Mechatronics Diploma is a decision to embrace the future of engineering and technology. Designed with clarity and depth, this online course offers a blend of theoretical knowledge and practical insights, setting the stage for a promising career in mechatronics. Whether you're a budding engineer, a professional looking to upscale, or simply someone intrigued by the melding of mechanical and electronic realms, this diploma stands as your comprehensive guide. Join today and embark on a journey of discovery in the dynamic world of mechatronics. What you will learn 1:Introduction to Mechatronics 2:Elements and Components of Mechatronic Systems 3:Modeling and Simulation of Mechatronic Systems 4:Interfacing and Signal Conditioning for Mechatronics 5:Error Analysis and Instrumentation for Mechatronics 6:Sensors and Actuators in Mechatronics 7:Digital Hardware and Microcontrollers in Mechatronics 8:Control Systems for Mechatronics 9:Mechatronic System Design and Development 10:Emerging Trends in Mechatronics Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.
Welcome to the Blender to Unreal Engine 3D Props Medieval Market Stall course. In this course, we will be creating a medieval market stall game asset incorporating cloth simulation. One of the best parts of the course is finding out a clever way of distributing numerous vegetables in a crate using an emitter.
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Deep Dive into Agile and Scrum - The What, Why and How to Begin as User Tomorrow: On-Demand This is not your typical Agile and Scrum 101 course. This course is designed to spend 25% of the time on "What" and "Why" behind Agile and Scrum and 75% on the "How" you can actually start using it on your team tomorrow! What You Will Learn You'll learn how to: Practice all the core Scrum practices end-to-end Implement real-world creative techniques for estimating, story identification, and prioritization Use an end-to-end example project scenario for maximum learning retention! Use YOUR company project as our sample (for private courses) Walk away with valuable course material, handouts, resources, and cheat sheets that will support you on your projects Practice real-world techniques from an experienced Agile Coach Agile Introduction and Overview The Traditional Process What is Agile? Agile Methods The Agile Process and Roles Agile Benefits / Value The Agile Team Agile Team Characteristics Agile Roles and Expectations Agile Management and Stakeholder Roles Agile Team Workspace Agile Programs and Portfolio Teams The Agile Planning & Visioning The 6 Levels of Planning Agile Planning Lifecycle Release Planning and Iteration Agile Visioning Toolkit Establishing Product Vision Agile Modeling Techniques Creating the Backlog 5 Levels of Agile Requirements User Stories INVEST Model Non-Functional Stories Acceptance Criteria How to Break Down Large Stories Release Planning and Estimating What is Release Planning? Sample Release Plan Story Points Sizing Techniques Planning Poker Complexity Buckets Affinity Sizing Planning Using Velocity Release Planning Meeting Sample Release Burn-up Chart A Day in the Life of an Agile Team Planning Meeting Design Review Daily Standup Pre-Planning User Acceptance Testing Sprint Review and Sprint Retrospective Building Healthy Agile Teams Common Challenges Facing Teams Healthy Team Structure Team Maturity Stages The 5 Dimensions of Team Health Deep Dive into Clarity, Performance, Culture, Leadership, Foundation Quantitative and Qualitative Metrics Summary and Next Steps What did we learn and how can we implement this learning in our work environment?
Duration 5 Days 30 CPD hours This course is intended for This course is designed for business analysts. Overview After completing this course, you should be able to:Describe the benefits of implementing an Operational Decision Manager solution, and the collaboration that is required between the business and development teamsIdentify the main user roles that are involved in designing and developing an Operational Decision Manager solution, and the tasks that are associated with each roleExplain modeling concepts and the UML notation that is relevant to modeling for business rules and eventsDefine and implement object models for business rulesSet up the rule authoring environment in Designer by working with decision services and synchronizing across development and business environmentsCustomize the vocabulary that is used in rulesDiscover and analyze business rules for implementationUse the Operational Decision Manager rule editors to author business rules and decision tablesRun tests and simulations in the Decision Center Enterprise console to validate decision logic and rule changesExplain governance issues and work with Operational Decision Manager features that support decision governance This course introduces business analysts to IBM Operational Decision Manager V8.7.1. You learn the concepts and skills that are necessary to capture, author, validate, and manage business rules with Operational Decision Manager. Course Outline Course introduction Introducing IBM Operational Decision Manager V8.7.1 Exercise: Operational Decision Manager in action Modeling for business rules Exercise: Building the model on paper Exercise: Implementing the model Understanding decision services Exercise: Setting up a decision service Working with the BOM Exercise: Working with the BOM Introducing Decision Center Exercise: Exploring the Decision Center Business console Exercise: Exploring the Decision Center Enterprise console Introducing rule authoring Exercise: Understanding the case study Discovering and analyzing rules Exercise: Discovering rules Exercise: Analyzing rules Working with conditions in rules Exercise: Working with conditions in rules Working with definitions in rules Exercise: Working with definitions in rules Writing complete rules Exercise: Writing complete rules Authoring decision tables and trees Exercise: Authoring decision tables and trees Exercise: Authoring rules: Putting it all together Running tests and simulations in the Enterprise console Exercise: Running tests and simulations in the Enterprise console Introducing decision governance Exercise: Working with the decision governance framework Course summary
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This Financial Engineering: Financial Management, Financial Analysis & Risk Management Bundle Comprises the Following CPD Accredited Courses: Course 01: Financial Analysis Course 02: Financial Management Course 03: Basic Business Finance Course 04: Improve your Financial Intelligence Course 05: Financial Investigator Course 06: FinTech Course 07: Investment Course 08: Business and Data Analytics for Beginners Course 09: Business and Financial Modeling Specialisation Course 10: Corporate Finance: Profitability in a Financial Downturn Course 11: Banking and Finance Accounting Statements Financial Analysis Course 12: Financial Accounting Course 13: Finance: Financial Risk Management Course 14: Anti-Money Laundering (AML) Training Course 15: Capital Budgeting & Investment Decision Rules Course 16: Making Budget & Forecast Course 17: Financial Modeling Using Excel Course 18: Learn Financial Analytics and Statistical Tools Course 19: Statistics Course 20: Economics Course 21: Professional Personal Finance Course Course 22: Ultimate Guide to Financial Security Course 23: Trading and Financing: Candlestick Pattern Course 24: Blockchain & Cryptocurrency Course 25: Penny Stocks Day Trading Course 26: Stock Market Day Trading Strategies Course 27: Financial Consultant Training Course 28: Develop Your Career in Finance: Blue Ocean Strategy Course 29: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes! 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Learn on your schedule, in the comfort of your home - the Financial Engineering & Risk Management bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Financial Engineering: Financial Management, Financial Analysis & Risk Management bundle. Certificates CPD Certificate Digital certificate - Included