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Meet Michel: "Sometimes there are moments when I struggle, but then you know you can count on the colleagues around you within Datashift."

Datashift keeps growing and attracting new talent, but now we want to put some of our more senior colleagues in the spotlight. Michel is a strong force behind Datashift and has been for more than 5 years been in the company. Michel saw Datashift growing and he shares his thoughts on past and future.

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aws

How to query your S3 Data Lake using Athena within an AWS Glue Python shell job

AWS Glue, the serverless ETL service of AWS, supports two types of jobs: Spark and Python shell. In this article, we'll focus on Python shell jobs and explain how you can make optimal use of your S3 Data Lake using Athena within Python shell jobs.

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3 priceless tips to help you succeed in Data Governance user adoption

Data Governance is a collaborative process, and its implementation hinges on user adoption. Fortunately, much can be done to boost Data Governance user adoption. Check out our 3 priceless tips.

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Meet Nathalie: "I’ve worked for a smaller company and for one of the Big Four. It is very clear that Datashift has the best of both worlds."

Datashift keeps growing and attracting new talent, but now we want to put some of our more senior colleagues in the spotlight. Nathalie has been with Datashift since the beginning and was Datashift's second employee. In this interview with Nathalie, she talks about her decision to join and looks back on those first six years.

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Semantic data discovery: separating facts from fairy tales

Can semantic data discovery deliver on its promise to provide a better understanding of your data and facilitate the automation of your business processes? We know it can. Learn from our experience to understand how it works and what you can achieve.

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Data Mesh - Beyond the buzz

Chances are you have recently heard a lot about data mesh, a decentralized approach to sharing, accessing, and managing analytical data. So, let's dive into a practical example to help you understand what a data mesh stands for.

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Monitoring data quality just got easier with Soda

Soda is a new kid on the block when it comes to data quality. It excels in making it easy for business users to monitor the health of their data, enabling them to define data quality rules without a high level of technical knowledge.

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Everything you really need to know about a data lakehouse

Data lakehouses are the talk of the town when it comes to data architecture. But why is that? And why is that happening right now? Let's take a refreshing dive into the history of data warehouses, data lakes, and data lakehouses.

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What an event-driven architecture brings to the table to solve your data ingestion challenges

Before you can generate insights from your data, you need to move those data from an operational to an analytical environment - a process commonly referred to as data ingestion. An event-driven architecture provides an elegant way to achieve a process marked by timeliness, performance, and cost-effectiveness.

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