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Logistics Management Online Do you want to start a career in Logistics Management? Are you interested in learning the Logistics management skills and knowledge needed for this role but do not know where to start? To expand your professional career, enrol in this Logistics Management course right now. This Logistics Management course is designed to provide you with a solid understanding of logistics, ensuring that you are familiar with the components of a logistics system as well as the many types of logistics management. This Logistics Management course will also introduce you to the topic of business logistics and the goals of logistics management. This Logistics Management Course comprises a series of easy-to-digest, in-depth lessons that will offer you a deep, expert level of knowledge. This course will provide you with the skills you need to land your dream job. Enrol this Course now and start learning. Logistics Management Learning Outcomes After completing this Logistics Management course, you will be able to - Describe logistics management as well as what it entails. Build a strong logistics system. Describe supply chain management and supply chain movement. Know about sourcing, purchasing, and procurement. Explain various distribution networks. Keep track of your supplier relationships. Investigate resource management and planning. Recognize the connection between transportation and logistics. Certification After completing the MCQ/Assignment assessment for this Logistics Management course, you will be entitled to a Certificate of Completion from Training Tale. Logistics Management Course 1:14:00 1: Logistics Management Course 1:14:00 PDF Who is this course for? Logistics Management Training This Logistics Management course is perfect for - Job Seekers, Fresh Graduate, Organisational Manager, Company Owner. Requirements Logistics Management There are no specific requirements for this Logistics Management course. Career path Logistics Management You may be able to find the position you want in the industry with the help of our Logistics Management course. Certificates Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

*** A Better Pathway for Rapid Growth! Limited Time Opportunity; Hurry Up! *** Ignite your dynamic career and strengthen your deep insight knowledge by signing up for Material Management & Handling. This course is the ideal approach for you to obtain a thorough understanding and knowledge of the subject. We are concerned about the progression of your career. Therefore, after conducting extensive studies and consulting with experienced personnel, we formulated this outstanding course to improve your pertinent skills. In this easy-to-digest Material Management & Handling course, you will get exclusive training, which will enable you to stand out in this competitive market. However, the Material Management & Handling course covers all of the recent materials in order to keep you up to date with the job market and make you a good fit for your career. This top-notch course curriculum comprises basic to advanced levels of modules that will increase your skillsets. After completing this Programme, you will attain the productivity to succeed in your organisation. So, if you are eager to see yourself in a gratifying Material Management & Handling career, then enrol in our course today! What will make you stand out? On completion of this Material Management & Handling online course, you will gain the following: CPD Certified Material Management & Handling Course After successfully completing the Course, you will receive a FREE PDF Certificate as evidence of your newly acquired abilities. Lifetime access to the whole collection of Material Management & Handling learning materials. The Material Management & Handling course online test with immediate results Enroling in the Course has no additional costs. 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. The substantial Material Management & Handling is designed to help you demonstrate the preliminary to in-depth level of learning regarding this topic. Moreover, you will be provided with the most knowledgeable and informative modules for your lifetime by enroling in this course just once. Furthermore, as you proceed through the modules of this course, you will discover the fundamentals of Material Management & Handling and explore the key topics such as: Material Management & Handling Module 01: Introduction to Material Management Module 02: Purchasing and Supply Chain Management Module 03: Inventory Management, Planning and Control Module 04: Stores Management and Control Module 05: Forecasting Module 06: Material Requirements Planning Module 07: Materials Handling Therefore, reinforce your knowledge and furnish your skills by enroling in our Material Management & Handling course. Take one step closer to achieving your goal. Show off your new skills with a certificate of completion When you have finished all of the Material Management & Handling course lectures, a digital certificate will be available for download. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Material Management & Handling Course the Right Option for You? This Material Management & Handling course is recommended for anyone who is interested in learning more about this topic. You'll learn the fundamental ideas and gain a comprehensive understanding of the topic by taking this course. This Material Management & Handling course is open to everybody. You can access the course materials from any location in the world and there are no requirements for enrolment. You should enrol in this course if you: Aspire to understand Material Management & Handling better. Already working on it and eager to learn more. Is a student pursuing a relevant field of study? Trying to get a job in Material Management & Handling-related fields. Requirements Without any formal requirements, you can delightfully enrol in this Material Management & Handling course. Just get a device with internet connectivity and you are ready to start your learning journey. Thus, complete this Material Management & Handling course at your own pace. Career path The aim of this exclusive Material Management & Handling course is to help you toward your dream career. So, complete this Material Management & Handling course and enhance your skills to explore opportunities in relevant areas.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Architecture and course review Post course knowledge check Architecture review Course review

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Solutions architects IT professionals Overview In this course, you will learn to: Apply data lake methodologies in planning and designing a data lake Articulate the components and services required for building an AWS data lake Secure a data lake with appropriate permission Ingest, store, and transform data in a data lake Query, analyze, and visualize data within a data lake In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures. Module 1: Introduction to data lakes Describe the value of data lakes Compare data lakes and data warehouses Describe the components of a data lake Recognize common architectures built on data lakes Module 2: Data ingestion, cataloging, and preparation Describe the relationship between data lake storage and data ingestion Describe AWS Glue crawlers and how they are used to create a data catalog Identify data formatting, partitioning, and compression for efficient storage and query Lab 1: Set up a simple data lake Module 3: Data processing and analytics Recognize how data processing applies to a data lake Use AWS Glue to process data within a data lake Describe how to use Amazon Athena to analyze data in a data lake Module 4: Building a data lake with AWS Lake Formation Describe the features and benefits of AWS Lake Formation Use AWS Lake Formation to create a data lake Understand the AWS Lake Formation security model Lab 2: Build a data lake using AWS Lake Formation Module 5: Additional Lake Formation configurations Automate AWS Lake Formation using blueprints and workflows Apply security and access controls to AWS Lake Formation Match records with AWS Lake Formation FindMatches Visualize data with Amazon QuickSight Lab 3: Automate data lake creation using AWS Lake Formation blueprints Lab 4: Data visualization using Amazon QuickSight Module 6: Architecture and course review Post course knowledge check Architecture review Course review Additional course details: Nexus Humans Building Data Lakes on AWS 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 Building Data Lakes on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

This comprehensive one-day programme has been designed to provide participants with an overview of basic supply chain principles and concepts and to identify potential opportunities for reducing costs, minimising risks and adding value across the supply chain. This could include reducing inventory, procurement, transport and storage costs. Fundamentally, the object of the programme is to empower participants to be able to collaborate with all key stakeholders across the supply chain. This course will help participants: Appreciate the importance of the supply chain as a source of competitive advantage Understand the tools and techniques available to improve supply chain performance Analyse and mitigate risks across the supply chain Identify opportunities for improvements in their respective supply chains Demonstrate competence in the pro-active management of the supply chain