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      End-to-end data engineering

      Source & Store

      Transform & Preview

      Distribute

      Govern

      Differentiators

      Simplicity

      Best practices in a box

      Industrialisation

      Case studies

  • Ecosystem
    • Integration landscape
    • Partnership programme
  • About
    • About us
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    • Jobs
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Challenges of data lake project and how to minimise the failure risk

DIGAZU 05 HEADER

To help you drive a successful data lake project you have to discover what are the challenges in a data lake project, and how you can minimise the failure risk.

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data engineering

What are the benefits of a data lake?

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 data science

Facilitate and optimize the work of your data-engineers.

optimise data engineer

Companies need solutions that help real-time data management platforms designed in such a way that extracting data sets is quick, easy and reduces the work of IT teams.

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data engineering data science

Discover the pathway of GDPR compliance through Data

GDPR DIGAZU

Download the white paper to discover how to successfully introduce organizational GDPR changes and its requirements to install an effective data governance tool to help you embed privacy into your everyday work.

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data engineering

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

A Tailored Shopping Experience in real time

Companies need solutions that aggregate many sources of on- and off-line information, extract data sets quickly, and ease the deployment of models to compute real-time compelling recommendations.

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Digazu answers the banking sector challenges

the banking sector challenges

Discover how can Digazu help the banking sector dealing with real-time banking transactions and streamlining data between data producers and data consumers.

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Real-time recommendation challenges for intermediaries

Real-time recommendation digazu

Generate, trough data, additional revenues by automating recommendations with intermediaries, making targeted interactions with customers possible.

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data science

Improve your marketing processes and customer satisfaction

customer services

Match your business with the everlasting changes in customers’ preferences and expectations.

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data engineering

Customer experience with a multichannel real-time data approach

real-time-data-approach

Discover how to add value to your retail business and to personalize each customer engagement trough by integrating a multichannel data approach across your real-time reporting and your data science models.

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data science Digazu

Digazu helps you answer the ETL challenges

Digazu ETL

Digazu helps 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 data science Digazu
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