Dataconomy

JUNE 1, 2023

All you need in one place So is the Microsoft Fabric price the tech giant’s only plan to stay ahead of the data game? Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

ODSC - Open Data Science

JUNE 7, 2023

To make your data management processes easier, here’s a primer on data lakes, and our picks for a few data lake vendors worth considering. What is a data lake? First, a data lake is a centralized repository that allows users or an organization to store and analyze large volumes of data.

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

IBM Journey to AI blog

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. Data fabric: A mostly new architecture.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

IBM Journey to AI blog

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineer 52

The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

ETL 59

ETL Data Pipeline ML ML 59

phData

SEPTEMBER 27, 2024

Both persistent staging and data lakes involve storing large amounts of raw data. But persistent staging is typically more structured and integrated into your overall customer data pipeline. With Snowflake’s support for Iceberg: You can query Iceberg tables stored in your cloud storage (S3, Azure Blob, etc.)

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52