Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

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Data Warehouse Data Quality Data Governance Artificial Intelligence 147

Dataversity

DECEMBER 14, 2020

It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […].

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Dataversity

FEBRUARY 18, 2022

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions.

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Data Mining Big Data Data Warehouse Data Visualization 130

The Data Administration Newsletter

JANUARY 3, 2023

For a while now, vendors have been advocating that people put their data in a data lake when they put their data in the cloud. The Data Lake The idea is that you put your data into a data lake. Then, at a later point in time, the end user analyst can come along and […].

Data Warehouse 59

Data Warehouse Data Architecture Big Data Data Management 59

Astera

MAY 6, 2024

– May not cover all data mining needs. Streamlining industry-specific data processing. Big Data Tools (e.g., It utilizes artificial intelligence to analyze and understand textual data. Can handle large volumes of data. Can handle large volumes of data. . – Efficient for specific use cases.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Similarly, developing and executing a successful data strategy also needs experienced personnel.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Insight Software

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Data Environment First off, the solutions you consider should be compatible with your current data architecture.

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Embedded Analytics IBM Support IBM Maintenance IBM cost 52