Tag: Data Management

Data mesh vs. data fabric vs. data virtualization: There’s a difference

Understanding the differences between data mesh, data fabric, and data virtualization can help organizations turn…

Why hasn’t cheaper hardware lowered cloud prices?

Enterprises should look at cost-effective alternatives like private clouds, colocation, managed service providers, or hybrid…

What is data fabric? How it offers a unified view of your data

Data fabric is an architecture that connects siloed heterogenous data across an organization, enabling unified…

Google Cloud Next ’25: What to expect

Preparing for Google Cloud Next? Get a preview of the major themes and expected announcements,…

Informatica readies new Claire Copilot capabilities for IDMC

Intelligent Data Management Cloud (IDMC) is getting a host of new AI features, although some…

Databricks’ new updates aim to ease gen AI app and agent development

Analysts view the updates as Databricks’ strategy to get closer to enterprise users and increase…

Overcoming data inconsistency with a universal semantic layer

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic,…

Dataframes explained: The modern in-memory data science format

Dataframes are a staple element of data science libraries and frameworks. Here's why many developers…

Exploring the Apache ecosystem for data analysis

How Apache Arrow, Apache Parquet, Arrow Flight, and DataFusion bring enhanced data processing capabilities to…

3 data engineering trends riding Kafka, Flink, and Iceberg

The Apache Kafka, Apache Flink, and Apache Iceberg communities are developing new ways for engineers…