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Molestie ac feugiat sed lectus vestibulum mattis. Nunc sed augue lacus viverra. Ipsum consequat nisl vel pretium lectus quam id leo. Pharetra diam sit amet nisl suscipit adipiscing bibendum. Viverra maecenas accumsan lacus vel. Euismod quis viverra nibh cras pulvinar mattis nunc sed blandit. Fermentum et sollicitudin ac orci phasellus. Sed turpis tincidunt id aliquet risus feugiat in ante. Porttitor rhoncus dolor purus non enim praesent elementum facilisis leo. Justo nec ultrices dui sapien eget mi proin sed libero. Nunc mi ipsum faucibus vitae aliquet nec. Pellentesque eu tincidunt tortor aliquam nulla facilisi cras fermentum odio. Donec et odio pellentesque diam volutpat commodo sed egestas egestas. Enim nulla aliquet porttitor lacus luctus accumsan tortor posuere. Vel facilisis volutpat est velit egestas dui id. Gravida neque convallis a cras.

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Euismod quis viverra nibh cras pulvinar mattis nunc sed blandit. Fermentum et sollicitudin ac orci phasellus. Zenobie Verkijk Specialist

Sed turpis tincidunt id aliquet risus feugiat in ante. Porttitor rhoncus dolor purus non enim praesent elementum facilisis leo. Justo nec ultrices dui sapien eget mi proin sed libero. Nunc mi ipsum faucibus vitae aliquet nec. Pellentesque eu tincidunt tortor aliquam nulla facilisi cras fermentum odio. Donec et odio pellentesque diam volutpat commodo sed egestas egestas. Enim nulla aliquet porttitor lacus luctus accumsan tortor posuere. Vel facilisis volutpat est velit egestas dui id. Gravida neque convallis a cras.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Sit amet mattis vulputate enim nulla aliquet porttitor lacus. Lacus sed viverra tellus in hac habitasse platea dictumst. Venenatis cras sed felis eget velit aliquet sagittis id. Sit amet consectetur adipiscing elit. Nisi est sit amet facilisis magna etiam tempor orci eu. Amet consectetur adipiscing elit ut. Id diam vel quam elementum. Venenatis urna cursus eget nunc scelerisque viverra mauris. Tellus pellentesque eu tincidunt tortor. Tempor nec feugiat nisl pretium fusce. Nibh praesent tristique magna sit amet.

Azure Data Factory vs on-premise ETL tools

Choosing the right ETL tool for your company is a complex task. Both Azure Data Factory and on-premise tools have their strengths and weaknesses. It's important to understand the parameters and nuances involved to pick the right tool for the job. In this article we'll clarify the key differences and help you make the right decision for your business.

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Microsoft Azure Data Factory as a must-consider alternative for on-premise ETL – tools

When using cloud-based technology your data is processed, stored and maintained in the cloud and not on a physical server at your organization.

This means that no infrastructure is necessary for the set-up and you don’t need to worry about system maintenance. This helps in saving resources (time and money) at the start of a project which can be used to understand requirements of the business. Your cloud solution will also be more adaptable to changing situations : newer features can be added easily and up-scaling is only one click away. By the hand of the different data security protocols and features, you can sleep soundly that your data will be secure in the cloud.

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AI for everyone? It’s no alchemy run by wizards!

We should use AI to make our organization smarter! Chances are you’ve recently heard this statement and see organizations acting to it. Leading companies are using AI across departments to increase productivity. Customer care organizations are using chatbots and speech recognition in their customer contacts. Marketing departments are predicting churn and segmenting their customer base.

Venturing into the field of AI may seem daunting at first. While AI has been hyped immensely in the last decade, it is a deeply technical field. Gartner even made a prediction that 80% of AI will remain alchemy run by wizards whose talents won’t scale in the organization. Your organization probably doesn’t have the scale and technological know-how of Google, Apple or Facebook. This might lead you to conclude that developing AI models isn’t for you. You are right, partially.

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