Courses

Whether you’re an aspiring data engineer, data architect, business analyst, or data scientist, strong data warehousing skills are a must. With the hands-on experience and competencies, you gain on this course, your resume will catch the eye of employers and power up your career opportunities. A data warehouse centralizes and organizes data from disparate sources into a single repository, making it easier for data professionals to access, clean, and analyze integrated data efficiently. This course teaches you how to design, deploy, load, manage, and query data warehouses, data marts, and data lakes. You’ll dive into designing, modeling, and implementing data warehouses, and explore data warehousing architectures like star and snowflake schemas. You’ll master techniques for populating data warehouses through ETL and ELT processes, and hone your skills in verifying and querying data, and utilizing concepts like cubes, rollups, and materialized views/tables. Additionally, you’ll gain valuable practical experience working on hands-on labs, where you’ll apply your knowledge to real data warehousing tasks. You’ll work with repositories like PostgreSQL and IBM Db2, and complete a project that you can refer to in interviews.

Data Warehouse Engineers and Business Analysts are in high demand as organizations become increasingly dependent on data to support their operations. Data warehousing has transformed the way organizations perform business analysis and make strategic decisions. Massive amounts of data from multiple sources can be easily accessed using SQL and formatted for analysis, reporting and Business Intelligence for organizations to gain deeper business insights. The Data Warehouse Engineer Professional Certificate provides you the skills and knowledge to design, deploy and manage Enterprise Data Warehouses (EDW) and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards. Upon completing this program, you’ll gain practical experience to work with Relational Database Management Systems (RDBMS), query data using SQL statements, utilize Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines using Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You’ll also acquire the skills to build and operationalize Data Warehouses and conduct data analysis. Within each course you’ll practice your skills with numerous hands-on labs and multiple projects to add to your portfolio for launching your career. To get started, all you need is basic computer literacy and the desire to learn and practice new skills.

Beginners Course to learn Warehouse Management in Supply Chain Management What you'll learn: Warehousing concepts, Equipment and Warehouse ProcessesWarehouse KPI and why they matter to employees?How to improve your KPI scoreWarehouse and Distribution Center Automation,AI ,Robotics and working alongside Artificial Intelligence This is a beginner's course on Warehousing and Warehouse Management for one who wants to start their career at the Warehouse or at a Distribution center near you. Warehouse Management is one of the key steps in Supply Chain and logistics management, as warehouses form the key entry and exit points for cargo and inventory.The course will take you through the very basics of the logistics processes involved in warehouse process, introduce you to the components and equipment used in a warehouse such as Forklifts, Pallets, Conveyor Belts, Packaging and protective equipment etc.You will also learn the Key Warehouse KPI's, How your performance matters, and also basics in Logistics processes involved in Shipping and Distribution.Warehouse Management is key in increasing efficiency in the warehouse processes such as Picking, Packing, Storing, Shipping and Inventory Management to improve warehouse performance and overall warehouse management.You will also learn and understand the Need for warehousing as a part of the Inventory Management step of the Supply Chain.The Various Types of warehouses, The structure of the docks and safety at warehouse docks. Concepts Such as Docking and Cross Docking at warehouses and distribution centers. How dock management is an important step in warehouse management?What is a SKU? How the management of different SKUs form an important part of Warehouse Management.How RFID are used in warehouses? How RFIDis implemented to find inventory and keep track of stock and Inventory. How it can help reduce time in searching for inventory in large distribution centers.Warehouses and Distribution centers are opening up worldwide as the way the world shops has changed and more people are looking at online shopping and e-commerce is currently booming. Demand for warehouse managers and warehouse personal with prior knowledge and understanding of how warehouses operate and warehouse management are only to increase in job openings in the coming years.Be a part of the next revolution of warehouse and distribution center management, augmented reality, IoT, and Robotics in warehousing as it begins with the delivery from the warehouse and DIstribution Center near you. Taking this beginner's certification course on warehouse management will give you a certificate of completion on the course 'Logistics of Warehouse Operations in Supply Chain Management". Enroll now and I will see you on the inside.

Explore fundamental shifts in data warehousing architecture and data processing design principles in this 42-minute conference talk by Maria Zakourdaev. Gain modern data warehouse modelling insights to build future-ready data infrastructures. Learn about evolving trends, best practices, and innovative approaches that are shaping the next generation of data warehouses. Discover how to adapt traditional methodologies to meet the demands of today's data-driven organizations and prepare for tomorrow's challenges in data management and analytics.

Explore the critical intersection of climate change and workplace safety in this comprehensive panel discussion examining how rising global temperatures are creating unprecedented risks for workers across multiple industries. Learn about the disproportionate impact on outdoor workers in groundskeeping, construction, and agriculture, as well as the often-overlooked dangers faced by drivers and warehouse workers in the on-demand economy who labor in hot, poorly ventilated environments without adequate cooling or break periods. Discover how workers from minority backgrounds bear the heaviest burden, with over half of Black, Latino, and immigrant workers employed in heat-exposed positions while having less access to employer-sponsored health insurance. Examine research revealing the direct correlation between rising temperatures and increased occupational injuries and accidents, including the sobering statistic that up to 2,000 workers die annually from heat-related causes. Understand the economic pressures that force low-wage workers to continue working in dangerous conditions because they cannot afford to lose a day's pay, and analyze how heat-related health impacts reduce worker productivity and affect broader economic outcomes. Gain insights from expert speakers including Jon Esformes from Sunripe Certified Brands, Sheheryar Kaoosji from the Warehouse Workers Resource Center, Reyna Lopez from Pineros y Campesinos Unidos del Noroeste, and Rosemary Sokas from Georgetown University, as they discuss innovative solutions and policy approaches that policymakers, businesses, and labor organizations are implementing to protect workers in our warming world.

Professional 3D editing studio inside of Unity What you'll learn: Learn 3D modelling directly inside of UnityProfessional approach to using Pro BuilderCreate modular assets for your gamesLearn to setup textures for your 3D modelsModular layouts of your 3D assetsProfessional post production and light baking In this course I am going to be showing you how to use Unity Pro builder to create a modular warehouse building. Pro builder is a free 3D design package, much like Blender or Maya that you can use directly inside of Unity.I will be taking you through the process of modelling and texturing individual modular items that can later be pieced together to build larger assets for your games.I will be showing you a professional workflow for setting everything up from a blank scene through to a completed project.Once we have built all of the modular objects I will then show you the process of snapping items together to build a final piece. Because the items are modular it means you can lay them out in any way you want. So you can build lots of different levels just using the same pieces.We will then cover the process of baking light maps and adding post process effects to build a AAA quality scene.By the end of this course you will be really confident using Pro builder and you will have developed the skills to go onto design your own 3D assets for your games directly in Unity. So, why not enrol today and I look forward to seeing you in my course.

This Professional Certificate is intended to help you develop the job-ready skills and portfolio for an entry-level Business Intelligence (BI) or Data Warehousing Engineering position. Throughout the online courses in this program, you will immerse yourself in the in-demand role of a Data Warehouse Engineer and acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize and manage Enterprise Data Warehouses (EDW). By the end of this Professional Certificate, you will be able to perform the key tasks required in a data warehouse engineering role. You will work with Relational Database Management Systems (RDBMS) and query data using SQL statements. You will use Linux/UNIX shell scripts to automate repetitive tasks, and build data pipelines with tools like Apache Airflow and Kafka to Extract, Transform and Load (ETL) data. You will gain experience with managing databases and data warehouses. Finally, you will design and populate data warehouse systems and utilize Business Intelligence tools to analyze and extract insights using reports and dashboards. This program is suitable for anyone with a passion for learning and is suitable for you whether you have a college degree or not and does not require any prior data engineering, or programming experience.

Explore how Presto powers interactive analytics at Meta's massive scale in this 28-minute conference talk from the Presto Foundation. Delve into the unique challenges of operating interactive warehouses at one of the world's largest technology companies and discover the strategic approaches Meta employs to overcome these obstacles. Learn about various use cases for both internal and external interactive analytics, understanding how Presto enables real-time data processing and querying across Meta's vast data infrastructure. Gain insights into the technical solutions and architectural decisions that make interactive analytics possible at unprecedented scale, including performance optimization techniques, resource management strategies, and system design principles that ensure reliable and efficient data warehouse operations.

Specific aspects of Data Warehouse Development Process What you'll learn: Understand various stages in Data Warehouse development processVarious processes like Waterfall model, V model and Agile methodsSpecific aspects of Data Warehouse development processImportance of the various phases and the practicality of each phaseOverview of various issues and Project Management issues to be considered in the Data warehouse and Business Intelligence projects Data is the new asset for the enterprises. And, Data Warehouse store the data for better insights and knowledge using Business Intelligence. Development of an Enterprise Data Warehouse has more challenges compared to any other software projects because of the Challenges with data structuresThe way data is evaluated for it's qualityComplex business rules/validationsDifferent development methods (various SDLC models like Water Fall model, V model, Agile Model, Incremental model, Iterative model)Regulatory requirements for various domains like finance, telecom, insurance, Retail and IMECompliance from third party governing bodiesExtracting data for various visualization purposesIn this course, we talk about the specific aspects of the Data Warehouse Development process taking real time practicalsituations and how to handle them better using best practices for sustainable, scalable and robust implementations.

Prepare for a career in the field of data warehousing. In this program, you’ll learn in-demand skills like SQL, Linux, and database architecture to get job-ready in less than 3 months. Data warehouse engineers design and build large databases called data warehouses, used for data and business analytics. They work closely with data analysts, data scientists, and project management to power analysis that enable insights and inform decision-making. This program will teach you the foundational data warehousing skills employers are seeking for entry level data warehouse roles. This program will not only help you start your career in data warehousing, but also provides a strong foundation for future career development in other paths such as Business Intelligence (BI) roles. You’ll learn the latest tools used by professional data warehouse engineers including Relational Database Management Systems (RDBMS), PostgreSql, and MySQL. Alongside these tools, learn how to use Linux/UNIX shell scripts to automate repetitive tasks and build data pipelines and Extract, Transform and Load (ETL) data. You’ll also work with data warehouses and query them using SQL and BI tools. When you complete the full program, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.

Explore the evolution of data warehousing in this 57-minute conference talk from PASS Data Community Summit. Learn about Microsoft's approach to adapting existing data warehouse infrastructure to handle the explosive growth in data volume, variety, and velocity. Discover how to scale out relational data to petabytes using Parallel Data Warehouse technologies, and non-relational data with HDInsight. Understand the benefits of in-memory columnstore for enhanced performance and how to manage mixed workloads effectively. Delve into big data concepts, including Hadoop and its various offerings for on-premise and cloud deployments. Examine the integration of relational data and Hadoop using PolyBase, and explore the flexibility of deployment options and hybrid solutions in modern data warehousing.

Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Discover the capabilities Fabric has to offer, understand how it works, and identify how you can use Fabric for your analytics needs.In this module, you learn how to: Identify the capabilities of Microsoft Fabric. Implement Microsoft Fabric to meet your enterprise's analytics needs. Understand the key components and design considerations for implementation of data warehouses in Microsoft Fabric.In this module, you learn how to: Describe data warehouses in Fabric. Understand a data warehouse vs a data Lakehouse. Work with data warehouses in Fabric. Create and manage fact tables and dimensions within a data warehouse. Explore the process of loading data into a warehouse in Microsoft Fabric.In this module, you'll: Learn different strategies to load data into a data warehouse in Microsoft Fabric. Learn how to build a data pipeline to load a warehouse in Microsoft Fabric. Learn how to load data in a warehouse using T-SQL. Learn how to load and transform data with dataflow (Gen 2). Learn how to query a data warehouse in Microsoft Fabric using different tools.In this module, you'll: Use SQL query editor to query a data warehouse. Explore how visual query editor works. Learn how to connect and query a data warehouse using SQL Server Management Studio. A data warehouse is a vital component of an enterprise analytics solution. It's important to learn how to monitor a data warehouse so you can better understand the activity that occurs in it.After completing this module, you'll be able to: Monitor capacity unit usage with the Microsoft Fabric Capacity Metrics app. Monitor current activity in the data warehouse with dynamic management views. Monitor querying trends with query insights views. Learn the key concepts and strategies for protecting sensitive data in Microsoft Fabric data warehouses.In this module, you'll: Learn the concepts of securing a data warehouse in Microsoft Fabric. Learn how to implement dynamic data masking to obscure sensitive information. Learn how to configure row-level security to provide granular control. Learn how to implement column-level security to protect sensitive data. Learn how to configure granular permissions using T-SQL.

Explore the world of Service Workers in this insightful conference talk by Patrick Kettner at NDC Conferences. Gain a deep understanding of how Service Workers function, their role in modern web development, and their impact on enhancing web application performance and offline capabilities. Learn about implementation strategies, best practices, and potential use cases for Service Workers in your projects. Discover how this powerful technology can revolutionize the way you build and deliver web experiences, improving user engagement and overall application reliability.

Learn how to build a robust "Lakehouse" architecture by examining lessons from cloud data warehouses in this 55-minute seminar talk. Explore DuckLake's approach to combining the best features of data lakes and data warehouses, drawing insights from modern cloud-based data warehouse implementations. Discover architectural patterns, design decisions, and technical strategies that enable scalable and reliable lakehouse systems. Gain understanding of how traditional data warehouse concepts can be adapted and applied to create more flexible and cost-effective data storage and processing solutions. Examine real-world challenges and solutions in building systems that provide warehouse-like performance and reliability while maintaining the flexibility and openness of data lake architectures.

Covers various topics in Data Engineering in support of decision support systems, data analytics, data mining, machine learning, and artificial intelligence. Studies on-premises data warehouse architecture, dimensional modeling of data warehouses, Extract-Transform-Load (ETL) integration from source systems to data warehouse, On-line Analytical Processing (OLAP) systems, and the evolving world of data quality and data governance. Offers students an opportunity to design, develop and maintain cloud-based data pipelines. Both on-premises and cloud-based platforms will be used to illustrate and implement Data Engineering techniques using operational and analytical data warehouses.

Learn how to implement Customer 360 analytics using Amazon Redshift serverless multi-warehouse architecture in this 59-minute technical webinar. Discover how Amazon Redshift data sharing eliminates the challenges of siloed data spread across multiple warehouses by enabling seamless data sharing within and across organizations, AWS regions, and third-party providers without moving or copying data. Explore how to read from and write to the same Redshift databases using multiple data warehouses while extending the performance, cost benefits, and ease of use that Amazon Redshift offers to multi-warehouse, data mesh architectures. Master the implementation of multi-warehouse architectures that enable Customer 360 use cases and advance your analytics capabilities to deliver deeper insights across your organization.

Data warehouses play a pivotal role in effective data management and analytics. Understanding how they work is essential for data engineers and organizations that work with large volumes of data. In this course, Data Warehousing for Data Engineers, you’ll learn the main concepts of data warehouses and see practical examples of data warehousing solutions. First, you’ll discover the basics of data warehousing, including their purpose in decision support systems and business intelligence. Next, you’ll analyze the main components of data warehousing design and architecture and the role of big data and cloud-based data warehouses. Finally, you'll explore the leading data warehouse platforms and compare a real-world example of a data warehouse set up in Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse Analytics. When you’re finished with this course, you’ll have the skills and knowledge to understand data warehouses and to implement solutions in the three current leading platforms from Amazon, Google, and Microsoft..

Snowflake is the first cloud data warehouse designed from the ground up and integrated with all the major cloud providers. In this course, Setting Up Cloud Database and Tables with Snowflake, you'll learn the ins and outs of cloud data warehousing with Snowflake. First, you'll explore the virtual warehouse used as compute for Snowflake. Next, you'll discover the SQL language used to create schemas and tables plus inserting data using Snowflake databases. Finally, you'll learn how to manage the workloads through virtual warehouses when additional data must be added and retrieved to a data mart for reporting. When you're finished with this course, you'll have the skills and knowledge of Snowflake databases, virtual warehouses, and tables needed to be a data analyst or database administrator for cloud data warehouses in Snowflake.

Despite medical and technological advances, half of the world’s population lacks access to essential health services, and over 8.9 million preventable deaths occur every year. There is an acute global shortage of health workers, a gap that will grow to 18 million by 2030. Studies show that training high-performing community health workers can help close these gaps and save more than 3 million lives annually. In the past few decades, many community health worker programs across the world have demonstrated their ability to save lives — including in the hardest-to-reach areas. Yet despite this progress, lessons on how to successfully scale these programs as part of national primary health systems are not widely shared. This course, developed in collaboration with the Community Health Academy at Last Mile Health, introduces learners to the core concepts of community health worker programs, and explores what is needed to build and strengthen large-scale programs in order to improve access to high-quality health services. The curriculum highlights the key components of designing community health systems, addresses common management challenges, and showcases lessons learned from a range of contributors — from community-level practitioners to government leaders and other global health experts. Through case studies of exemplar countries (including Ethiopia, Bangladesh, and Liberia), participants will learn from leaders across the globe how to advocate for, build, and optimize community health worker programs. This course was created by health systems leaders for health systems leaders. Whether you work in a Ministry of Health, lead or support a community health worker program, mobilize resources and advocate for increased investment in community health, or you are simply interested in knowing what it takes to deliver quality care through community health worker programs, learners will have the opportunity to advance their knowledge and skills to implement critical change. This course can be taken individually, but learners are also encouraged to convene their colleagues from within or across organizations to share insights and further enhance the learning experience. About the Community Health Academy Last Mile Health launched the Community Health Academy in 2017 to revolutionize training for community health workers and health systems leaders. The Academy is equipping current and next-generation health systems leaders to build strong community health systems through university-quality courses that are delivered virtually and in-person through coaching, mentorship, and group discussion. The Academy is also supporting Ministries of Health to enhance the effectiveness of their health worker training by deploying mobile phones equipped with high-quality digital content to frontline and community health workers.

Developing a professional career that embraces work flexibility is not just a dream. This set of online courses—a partnership between FlexJobs and LinkedIn Learning—is designed to help you achieve a fulfilling career and the work flexibility to lead the life you want.Explore strategies to add flexibility to your current work environment.Discover how to find a new remote role.Learn practical tips for succeeding in remote work.