207 Courses

A beginner's level course that will help you learn data engineering techniques for building metadata-driven frameworks with Azure data engineering tools such as Data Factory, Azure SQL, and others. You need not have any prior experience in Azure Data Factory to take up this course.

Register on the SQL NoSQL Big Data and Hadoop 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 digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, 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 The SQL NoSQL Big Data and Hadoop Receive a e-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) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. 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. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

This course primarily focuses on explaining the concepts of Python and PySpark. It will help you enhance your data analysis skills using structured Spark DataFrames APIs.

This course looks at the key processes in supply chains and how they interact; the most common supply chain terms and how they are utilised to describe supply chain activities. It will cover the definitions of transport modes and how to select the most appropriate one; the role of logistics partners in the extended supply chain and the definition and use of Incoterms. PARTICIPANTS WILL LEARN HOW TO: Explain the term “Supply Chain” Define main activities in Transport & Freight Management Describe the key principles of Warehousing Interpret INCOTERMS COURSE TOPICS INCLUDE: Freight terminology & global trade terminology Warehouse, logistics and transport operations Transport modes Parties involved in international shipments INCOTERMS Freight calculations

Warehouse: Warehouse Management Encompasses all the rules and procedures needed to manage a warehouse's daily operations! - Enrol in our Warehouse: Warehouse Management course to strengthen your skills if you wish to achieve that. A wide range of subjects relating to warehouse operations are covered in the Warehouse: Warehouse Management course. This in-depth course on Warehouse: Warehouse Management covers every important aspect of managing a warehouse, including picking tactics, safety, cost control, and warehousing operations. A warehouse management system's fundamental functions as well as the difficulties in Warehouse: Warehouse Management will be covered. You'll learn about supply chain management and logistics principles as well as how to apply them in a warehouse. After completing this Warehouse: Warehouse Management course, you will be equipped with the abilities and information needed to efficiently manage warehouse operations. Improve your resume and future employment opportunities with a Warehouse: Warehouse Management Certificate from a reputable awarding authority! Main Course: Level 5 Warehouse Management Special Offers of this Warehouse: Warehouse Management Course This Warehouse: Warehouse Management Course includes a FREE PDF Certificate. Lifetime access to this Warehouse: Warehouse Management Course Instant access to this Warehouse: Warehouse Management Course Get FREE Tutor Support to this Warehouse: Warehouse Management Course Warehouse: Warehouse Management Enrolling in the Warehouse Management: Warehouse Management Course will help you become a valuable asset in today's fiercely competitive job market, in addition to improving your skills and knowledge. Supply chain experts, logistics experts, warehouse managers, and anyone else hoping to succeed in warehouse management can all benefit from this course on warehouse management. Who is this course for? Warehouse: Warehouse Management Demand for talented warehouse managers is high in recent times. This Warehouse: Warehouse Management course could provide you with the edge you need to emerge as the candidate for the job. Requirements Warehouse: Warehouse Management To enrol in this Warehouse: Warehouse Management Course, students must fulfil the following requirements. To join in our Warehouse: Warehouse Management Course, you must have a strong command of the English language. To successfully complete our Warehouse: Warehouse Management Course, you must be vivacious and self driven. To complete our Warehouse: Warehouse Management Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Warehouse: Warehouse Management Course. Career path Warehouse: Warehouse Management You have a fantastic chance of acquiring many skills and investigate numerous career options with our Warehouse: Warehouse Management course. This Warehouse: Warehouse Management program will provide access to a wide range of professional options: Supply Chain Director Logistics Manager Logistics Director Inventory Analyst

Overview of Telehandler Training Course Telehandler Training or Telehandler Courses is an essential program designed to equip operators with the necessary skills and knowledge to safely and efficiently operate telehandlers. These versatile machines, commonly used in agriculture, construction, and warehousing, require precise handling due to their complex controls and varied load capacities. Our Telehandler Courses will help you achieve your goal to be a successful Telehandler Operator. The importance of comprehensive telehandler training cannot be overstated. It ensures that operators are well-versed in both the theoretical and practical aspects of handling these machines, significantly reducing the risk of accidents and injuries on the job. Moreover, proper Telehandler training aids in maximising the operational efficiency of telehandlers, which can contribute to the timely completion of projects and the effective management of resources. In various industries, telehandlers play a critical role in lifting and transporting heavy materials over obstacles and uneven terrain, making the Telehandler course crucial for anyone involved in operations that require heavy lifting and material handling. The Telehandler courses covers a range of topics, including safety regulations, operational techniques, maintenance basics, and troubleshooting common issues, ensuring that all participants are prepared to handle the demands of operating a telehandler in any setting. Booking the Telehandler Training couldn’t be easier. Book Now

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.