IT-powered innovations, the Internet of Things and new generation customer demands are fueling real-time data creation. In this new data landscape, businesses from all industries are quickly shifting from batch processing to real-time data streams to match the new imperatives. In this blog, our marketing analyst, Selima Triki, unpacks the concept of real time and real-time data, some of its benefits and applications.
Continue readingNo-code/low-code and Virtualisation for efficient Data Engineering
In this blog, we uncover the multiple facets of data engineering, what it is and how complex it can be. Digazu’s product manager, Luc Berrewaerts walks us through the new technologies to navigate the complexities of data engineering.
Continue readingMigrating a thousand data pipelines thanks to code as configuration
A leading investment bank approached us recently to review their data management to support new analytics use cases. Learn about how we helped them enhance their data processes through automation and scalability.
Continue readingThe 4 Most Common Mistakes of Digital Transformation Programs
Read our latest White Paper on the most common mistakes of digital transformation programs, the dos and don’ts of the data journey.
Come take a closer look at some of the most challenging pitfalls businesses regardless of their space face in their pursuit of digital and capture the best practices and lessons learned to to drive successful data projects.
Continue readingImplement the right data storage architecture, build your business for the future
Learn the various ways in which you can store your data and choose the one that best suits your needs. This article will underline the difference between data warehouse, data lake and data mesh while exposing the benefits and drawbacks that you could encounter. Find the best solution no matter how mature your data is.
Continue readingData processing: simplified integration of your data
In this article we are focusing on a crucial step in adapting better data practices: data processing. Use your data to its fullest by properly managing how you store the data so that it is readily available any time you need to make a decision.
Continue readingData preparation, the pre-processing stage that slows you down
Overlooking the basic stages of the data journey happens very often which results in severe delays of ML and deep learning projects. This article shines the light upon the main players in the 80/20 data Science dilemma: data preparation. Find out how to make sure that your data scientists and ML experts uncover insightful value from your data in the shortest time possible.
Continue readingData collection, a first step in maximising the value of your data
Pushing the limits of your data doesn’t have to be a difficult task. Still, if left alone, data has little to no value. Read this article and bring your data to life by taking proactive actions towards understanding how to overcome the challenges that data collection can pose. Sometimes simple solutions can solve complex problems.
Continue readingThe New Data Engineering
Discover how you can take your data engineering to a whole new dimension with Digazu. Specifically designed to simplify the work of your data engineers, Digazu was built to work at scale and to integrate with your IT landscape for sustainable and scalable data engineering.
Continue readingA glimpse into a great data platform
Discover the building blocks of a modern and scalable data platform. Get insights on how to power your data projects and unlock the value of your data assets.
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