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The Advantages of Incremental Data Collection Over Batch Processing
In data management, selecting the appropriate approach to collect and process data can significantly impact the efficiency and responsiveness of analytics pipelines. One methodology gaining traction for its transformative impact is “incremental data collection”.
Setting up a Business-driven Data Program at a Large Car Manufacturer
Discover how Snowpipe Streaming and Digazu create an end-to-end solution for real-time data integration to Snowflake.
Data Products: A Business Analyst Exploring Data in Self-service
In the previous piece, we uncovered the different characteristics of a well-designed data product. In this second blog, we will illustrate a real case scenario that tells the story of a data analyst, “Fred”, trying to navigate the complexities of his data landscape using our data product platform.
The 8 Characteristics of a Successful Data Product
The data mesh architecture is built around four fundamental concepts, the second of which is “data-as-a-product” often just called data products.
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.
No-code/low-code and Virtualisation in 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.
Six Important Trends of the 2022 Data and Analytics Landscape
Our CEO shares his thoughts on the 2022 most defining trends of the data and analytics market.
Migrating 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.
The Evolution of Data Architectures
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
Data 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.