KNIME Analytics Platform
1. KNIME Analytics Platform
Welcome to the course Introduction to KNIME.2. Welcome!
My name is Emilio, I am a data scientist at KNIME and this is me, always trying to make sense of data.3. Welcome!
During this course, I will help you make sense of your data, with KNIME Analytics Platform.4. HR needs your help
Before jumping into it, let's prepare the ground. It is a Wednesday afternoon. You are at the office and an email pops up in your inbox. Your company's HR department has collected employee data and wants to calculate some statistics. They reach out to you to help them put together a solution and get some insights from the data so they can present it in the next corporate meeting.5. Requirements by HR
Their requirements are simple: they want a solution that is quick to realize, ready as soon as possible.6. Requirements by HR
They want it to be usable and understandable by non-technical users since they do not all have a technical background.7. Requirements by HR
They want it to be reusable and automated, so if new employees enter, they can easily obtain the updated statistics.8. KNIME Analytics Platform
Luckily, you have a superpower: KNIME Analytics Platform. It is a No-Code/Low-Code Platform that lets you solve a wide variety of data processes, from data access to transformation and reporting.9. KNIME Analytics Platform
It is based on the visual programming paradigm. This means that you will create your solution by putting together small building blocks. There is no need to code if you don't want to.10. KNIME Analytics Platform
The KNIME Analytics Platform is easy to use. The learning curve is short, even for non-technical users.11. KNIME Analytics Platform
Finally, it lets you create a process that can often be reused on new data.12. KNIME Analytics Platform
And bonus feature: it is a free and open source software.13. Nodes
The building blocks of the KNIME Analytics Platform are nodes. A node carries out a specific task on the data.14. Nodes
A node can have zero, one, or more input ports.15. Nodes
And zero, one, or more output ports.16. Nodes
Each node's status is indicated by a traffic light.17. Nodes
Normally, you add a node, configure it, and then execute it to produce the data in the output.18. Workflows
Put more nodes together, and you will get a workflow.19. Workflows
In a workflow, data flows from left to right, from one node to the next, via their input and output ports.20. Production line
Think of a workflow as an industrial production line. The data are the raw material, and the nodes are the stations in the line.21. Production line
Each station performs one step in the manufacturing process (assembling, painting, packaging) and passes the product to the next station.22. Production line
Similarly, each node performs one task on the data (filtering, transforming, aggregating) and passes it to the next node.23. Data process
Opposite to spreadsheets, where the data is mixed with the operations, a KNIME workflow sets up a data process. Once the workflow is executed on some data, you only need to update the source, for example, with a more current data table, and the same operations can be repeated again regularly.24. From data access to deployment
There are more than 4000 KNIME nodes that cover a wide variety of tasks. During this course, you will learn the basic ones, in order to read, transform and visualize your data.25. Let's practice!
Are you ready to help the HR department? Let's go.Create Your Free Account
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