Precisely

JULY 18, 2024

Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata. As data grows exponentially, so do the complexities of managing and leveraging it to fuel AI and analytics.

Data Management 52

Data Management Management Metadata Database-centric 52

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Microsoft data integration new capabilities — Few months ago I've entered the Azure world. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

At the same time Maxime Beauchemin wrote a post about Entity-Centric data modeling. Microsoft data integration new capabilities — Few months ago I've entered the Azure world. Today, Microsoft announces new low-code capabilities for Power Query in order to do "data preparation" from multiple sources.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Knowledge Hut

JUNE 20, 2023

The generalist position would suit a data scientist looking for a transition into a data engineer. Pipeline-Centric Engineer: These data engineers prefer to serve in distributed systems and more challenging projects of data science with a midsize data analytics team.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 30, 2024

Whether you're a seasoned data scientist or just stepping into the world of data, come with me as we unravel the secrets of data extraction and learn how it empowers us to unleash the full potential of data. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Confluent

JUNE 18, 2019

As the databases professor at my university used to say, it depends. Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough.

Architecture 97

Architecture Building Kafka Database-centric 97