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Qlik Modern Data Platform

element61's Qlik Modern Data Platform integrates multiple data sources to enable real-time data movement, AI-driven insights, and collaborative analytics for organizations.

Out-of-the-Box Financial Planning and Reporting on SAP data

Join us for our upcoming Performance Management webinar, where we will introduce our innovative Starter Kit, designed to simplify financial planning and reporting on your SAP S/4 data by seamlessly integrating it with the familiar Microsoft Excel interface. Join us to discover how you can eliminate complexity and achieve streamlined efficiency in your planning and reporting processes.

Qlik Talend Cloud

Qlik Talend Cloud enables real-time data integration, accelerates data lakehouse development, and ensures trusted data governance with built-in quality and lineage.

Embedding Qlik into your own Solution

Embedded analytics enables seamless data insights in daily-use apps, supporting informed decisions, brand customization, and workflow automation.

Qlik Cloud Analytics

Qlik Cloud Analytics offers scalable performance, strong data governance, mobile access, and workflow automation for trusted, accessible analytics across teams.

Qlik

element61 provides expert Qlik consulting, data integration, and analytics optimization to help businesses transform data into powerful, actionable insights.

Machine Learning on Azure

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 2-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure and Databricks at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.

Machine Learning on Azure

As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 2-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure and Databricks at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.

Data Engineering with Databricks

This training program is designed to provide participants with the knowledge and skills required for data engineering with Databricks on Azure. The program promises to cover a wide range of topics and is set to equip participants with the practical skills needed to excel in their field. We will explore the most efficient ways to facilitate the Spark engine and distributed computing principles within the Databricks environment. Our main emphasis is on fully utilizing Databricks to address all queries related to data engineering.

Data Science training for BI Analysts

It is important for business analysts and programmers to understand advanced analytics and the value it can bring to organizations. Our 2-day introductory course in Data Science explains all the concepts and processes that lead to successful projects and gives practical examples of machine learning.