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Data engineering White paper
secure your data lake

How to secure your data lake projects

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Data engineering Data science
DIGAZU 05 HEADER

Challenges of data lake project and how to minimise the failure risk.

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Data engineering Insights
Data lake

What are the benefits of a data lake?

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Data engineering Data science
optimise data engineer

Facilitate and optimize the work of your data-engineers and -scientists.

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Data engineering White paper
GDPR DIGAZU

Discover the pathway of GDPR compliance through Data

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Data engineering Data science Use case
A Tailored Shopping Experience in real time

A Tailored Shopping Experience, or How to Display Custom Content in Real Time

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Data engineering Data science Use case
the banking sector challenges

Digazu’s platforms answer the banking sector challenges

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Data science Use case
fraud detection digazu 2

Data science at the service of fraud detection

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Data science Use case
Real-time recommendation digazu

Real-time recommendation challenges for intermediaries

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Data engineering Insights
Data lake

What are the benefits of a data lake?

A data lake will help you leverage all your produced data to create revenues and reduce your costs. So you have to ask yourself why would my company need a data lake and what are my benefits from setting up a data lake?

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Data engineering Insights
Digazu ETL

Digazu helps you answer the ETL challenges

Digazu’s platforms will help the companies leveraging the value of their data, by extracting data only once, sharing the transformations on data, and loading transformed data multiple times.

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Data engineering Insights
ETL challenges

The challenges of ETL and their related data-driven business ambitions.

Today’s business are trying to become more data centric or to develop their data culture. To do so they have to start leveraging insights from their data. Therefore, ETLs (extract, transform, and load) are essential in data integration strategies.

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Data engineering Data science Insights
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Data challenges across companies

Data challenges across companies and departments; time-to-market, cost and feasibility of your data science projects all depend on your processes and tools.

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Data science Insights
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Purpose of Digazu

Digazu’s platforms were made to create added value for companies from their data and make complex data engineering easier and Faster.

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Data science Insights Use case
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Demo real-time product recommendation

Discover, through this demo, a fast and easy way to create real-time product recommendations with our Digazu’send-to-end data engineering platform.

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Recent Posts
  • secure your data lake
    How to secure your data lake projects
  • DIGAZU 05 HEADER
    Challenges of data lake project and how to minimise the failure risk.
  • Data lake
    What are the benefits of a data lake?
  • optimise data engineer
    Facilitate and optimize the work of your data-engineers and -scientists.
  • GDPR DIGAZU
    Discover the pathway of GDPR compliance through Data
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